Cloud Computing | NPTEL 2023 | Week 3 Assignment Solutions
This set of MCQ(multiple choice questions) focuses on the Cloud Computing NPTEL 2023 Week 3 Assignment Solutions .
Cloud computing is a scalable services consumption and delivery platform that provides on-demand computing service for shared pool of resources, namely servers, storage, networking, software, database, applications etc., over the Internet. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources, which can be rapidly provisioned and released with minimal management effort. This course will introduce various aspects of cloud computing, including fundamentals, management issues, security challenges and future research trends.
Course layout
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Week 0: Assignment answers Week 1: Introduction to Cloud Computing Week 2: Cloud Computing Architecture Week 3: Service Management in Cloud Computing Week 4: Data Management in Cloud Computing Week 5: Resource Management in Cloud Week 6: Cloud Security Week 7: Open Source and Commercial Clouds, Cloud Simulator Week 8: Research trend in Cloud Computing, Fog Computing Week 9: VM Resource Allocation, Management and Monitoring Week 10: Cloud-Fog-Edge enabled Analytics Week 11: Serverless Computing and FaaS Model Week 12: Case Studies and Recent Advancements
NOTE: You can check your answer immediately by clicking show answer button. Cloud Computing NPTEL 2023 Week 3 Assignment Solution” contains 10 questions.
Now, start attempting the quiz.
Cloud Computing NPTEL 2023 Week 3 Assignment Solutions
Q1. In the context of aggregated demand in resource provisioning in the cloud, how does adding n independent demands affect the coefficient of variation (Cv)?
a) Increases the Cv b) Decreases the Cv c) Does not change the Cv d) Inversely proportional to the mean
Q2. What does the term “biasness towards vendors” imply in the context of SLA monitoring?
a) Vendor-driver selection of monitoring parameters b) Customer-driver selection of monitoring parameters c) Balanced approach in monitoring parameters d) Lack of active monitoring on the customer’s side
Q3. In the Openstack storage concept __________ storate persists until the VM is terminated and is managed by _____________.
a) Nova, Cinder b) Ephemeral, Cinder c) Cinder, Ephemeral d) Ephemeral, Nova
Q4. What condition makes periodic provisioning acceptable in the presence of linear demand?
a) High resource utilization b) Non-linear demand c) Instantaneous demand d) Flat demand
Q5. What is(are) the key factor(s) to consider in a hybrid model for utility pricing?
a) Reliability and accessibility b) Network cost and usage costs c) Peak to average demand ratio d) Interoperability overhead
Q6. What architecture is used in a parallel database for the efficient execution of SQL queries?
a) Shared memory architecture b) Shared disk architecture c) Shared nothing architecture d) Shared cache architecture
Q7. What type of environment benefits from utility pricing?
a) Environments with fixed demand levels b) Environments with limited resource scalability c) Environments with variable demand levels d) Environments with prepaid resource allocation
Q8. What is the role of Neutron in the provisioning flow in OpenStack?
a) Fetches information about the whole cluster from the database b) Publishes a message to the compute queue to trigger VM provisioning c) Configures IP, gateway, DNS name, and L2 connectivity d) Contacts Cinder to get volumne data
Q9. How does the master node in the Google File System maintain communication with chunk servers?
a) Command messages b) Update messages c) Query messages d) Heartbeat messages
Q10. What does the ‘availability’ metric represent in the monitoring and auditing of SLAs?
a) The speed at which a service responds b) The percentage of uptime for a service c) How often the service is available d) The ability for a resource to grow infinitely
Q1. Which of the following is/are properties of Web Services SLAs?
a) SLA automation is required for negotiation, provisioning, service delivery and monitoring. b) the QoS parameters are response time, SLA violation rate for reliability, availability and cost of service. c) UDDI (Universal Description Discovery and Integration) is used for resource allocation. d) The QoS parameters are related to security, privacy, trust, management, etc.
Answer: b), c)
Q2. A task takes time T in a uniprocessor system. In a parallel implementation, the task runs on P processors parallely. The parallel efficiency is Eff, where 0<Eff<1. What is the time taken by each processor (M) in this implementation?
a) M = T b) M = T/(EffxP) c) M = T/P d) M = (TxEff)/P
Q3. Row-oriented storage is optimal for transaction processing applications.
a) True b) False
Cloud Computing NPTEL 2022 Week 3 Assignment Solutions
Q4. Which of the following is/are the SLA requirement(s) for PaaS cloud delivery model?
a) Transparency b) Data Retention and Deletion c) Privacy d) Regulatory compliance
Answer: a), c), d)
Q5. In a cloud, total service uptime is 175 minutes and availability of the service is 0.85. What is the service downtime?
a) 55 minutes b) 148.75 minutes c) 26.25 minutes d) 45 minutes
Q6. Which of the following database system/architecture follow(s) Quorum protocol for a large number of concurrent reads & writes?
a) BigTable b) Dynamo c) Datastore d) Google File System (GFS)
Q7. Match the components of OpenStack with their functions.
a) 1-B, 2-D, 3-A, 4-C b) 1-B, 2-A, 3-D, 4-C c) 1-C, 2-B, 3-D, 4-A d) 1-D, 2-A, 3-B, 4-C
Q8. Let D(t) and R(t) be the instantaneous demand and resources at time t respectively. If demand is exponential (D(t)=e t ), any fixed provisioning interval (tp) according to the current demands will fall linearly behind.
Q9. Which of the following statement(s) regarding OpenStack storage is/are wrong?
a) Object storage is managed by Cinder b) Both ephemeral storage and block storage are accessible from within VM c) Block storage persists until VM is terminated d) Ephemeral storage is used to run operating system and/or scratch space
Answer: a), c)
Q10. Statement 1: Multiple KPIs are aggregated to SLA Statement 2: SLA contains SLO
a) Both statement 1 and 2 are correct b) Statement 1 is correct and Statement 2 is incorrect c) Statement 2 is correct and statement 1 is incorrect d) Both statement 1 and 2 are incorrect
Q1. Which of the following is/are NOT SLA requirement(s) of PaaS cloud delivery model?
a) Privacy b) Data Retention and Deletion c) Machine-Readable SLAs d) Certification
Q2. Which of the following is/are true regarding penalty cost?
a) Penalty cost ∝ ∫|D(t)/R(t)|dt b) If demand is flat, penalty is equal to 0. c) If demand is exponential (D(t)=e t ), any fixed provisioning interval (tp) according to the current demand will fall linearly behind. d) The penalty cost for exponential demand is exponential
Q3. Row-oriented storage is efficient for data-warehouse workloads.
Answer: b) False
Q4. Which of the following is/are example(s) of cloud SLA(s) with IaaS delivery model?
a) Amazon EC2 b) Google App Engine c) Salesforce CRM d) Zoho mail
Answer: a) Amazon EC2
Q5. Which of the following OpenStack components is used for block storage services?
a) Keystone b) Cinder c) Swift d) Neutron
Answer: b) Cinder
Cloud Computing NPTEL week 3 Assignment Solutions
Q6. In cloud, service downtime is 30 minutes and availability of the service is 0.80. What is the service uptime?
a) 120 minutes b) 60 minutes c) 150 minutes d) 135 minutes
Answer: c) 150 minutes
Q7. In Google File System (GFS), the master maintains regular communication with the chunk servers.
Answer: a) True
Q8. In a system, 400 unit workloads have been added. What will be the penalty?
a) 40% b) 100% c) 20% d) 8000%
Answer: c) 20%
Q9. Which of the following option(s) is/are correct?
a) Service Level Agreement(SLA) contains Service Level Objectives(SLO) b) Service Level Objectives(SLO) contains Service Level Agreement(SLA) c) Multiple Service Level Agreements (SLAs) are aggregated to Key Performance Indiocator (KPI) d) Key Performance Indiocators (KPIs) are aggregated to Service Level Ojbectives(SLO)
Answer: a), d)
Q10. Statement 1: In OpenStack block storage, the stored objects persist until the VM is terminated. Statement 2: In OpenStack ephemeral storage, the stored objects are accessible from within VM as local file system.
a) Both statement 1 and 2 are correct b) Statement 1 is correct and statement 2 is incorrect c) Statement 2 is correct and statement 1 is incorrect d) Both statement 1 and 2 are incorrect
Answer: c) Statement 2 is correct and statement 1 is incorrect
Previous Course – Week 3 Assignment Solutions
Q1. Which of the following is false about SLA contents
a) A complete, specific definition of each service b) An auditing mechanism to monitor the services c) The responsibilities of the service provider and consumer d) None of these
Answer: d) None of these
Q2. In cloud, computing resources are allocated
a) Through a centralized service discovering agent b) By service level agreement c) Globally without any centralized agent d) All of them
Answer: c) Globally without any centralized agent
Q3. Which of the following is correct about Availability?
a) Availability = 1- (UpTime / TotalTime) b) Availability = 1+ (DownTime / UpTime) c) Availability = 1+ (UpTime / DownTime) d) Availability = 1- (DownTime / UpTime)
Answer: d) Availability = 1- (DownTime / UpTime)
Q4. Statement 1: Coefficient of variance represents the ratio of standard deviation to mean. Statement 2: Coefficient of variance is a useful statistic for comparing the degree of uniformity from one data series to another.
a) Only statement 1 is true b) Only statement 2 is true c) Both the statements are true d) Both the statements are False
Answer: a) Both the statements are true
Q5. Say a cloud service is well maintaining it’s 95% availability as mentioned in Service Level Agreement. However, still the services are not performing as expected when the load increases abruptly. The problem can be referred to as an issue of
a) Load balancing b) Linearity c) Reliability d) Durability
Answer: b) Linearity
Q6. Which of the following is true about penalty, where D(t) is instantaneous demand at time t and R(t) is response at time t?
a) Penalty ∝ ∫ | R(t) * D(t) | dt b) Penalty ∝ ∫ | D(t) + R(t) | dt c) Penalty ∝ ∫ | D(t) – R(t) | dt d) None of these
Answer: c) Penalty ∝ ∫ | D(t) – R(t) | dt
Q7. It is absolutely beneficial to purchase a cloud service when
a) Utility premium < the peak to average demand ratio b) Utility premium > the peak to average demand ratio c) Utility premium <= the peak to average demand ratio d) Utility premium >= the peak to average demand ratio
Answer: a) Utility premium < the peak to average demand ratio
Q8. If R t is the ratio of execution time taken by a process in sequential and parallel architecture, and p is the number of parallel computing nodes available, then the parallel efficiency is
a) R t / p b) p / R t c) None of the above d) p x R t
Answer: a) Rt / p
Q9. Statement 1: Hadoop Distributed File System is an open source implementation of GFS architecture. Statement 2: In Google File System, the master maintains regular communication with the chunk servers.
a) Only statement 1 is true b) Only statement 2 is true c) Both the statements are true d) Both the statements are false
Answer: c) Both the statements are true
Q10. Which of the following is true?
a) IaaS can be built on PaaS b) PaaS can be built on SaaS c) IaaS can be built on SaaS d) None of the above
Answer: d) None of the above
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NPTEL Assignment Answers and Solutions 2024 (July-Dec). Get Answers of Week 1 2 3 4 5 6 7 8 8 10 11 12 for all courses. This guide offers clear and accurate answers for your all assignments across various NPTEL courses
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- Computer Science and Engineering
- NOC:Cloud computing (Video)
- Co-ordinated by : IIT Kharagpur
- Available from : 2017-06-08
- Intro Video
- Lecture 11:
- Lecture 12:
- Lecture 13 :
- lecture 14 :
- Lecture 15 :
- Lecture 17:
- Lecture 18:
- Lecture 19:
- Lecture 20:
- Lecture 21 : SLA-Tutorial
- Lecture 22 : Cloudonomics-Tutorial
- Lecture 23 : MapReduce-Tutorial
- Lecture 24 : ResourceMgmt-I
- Lecture 25 : ResourceMgmt-II
- Lecture 26: Cloud Computing: Security I
- Lecture 27: Cloud Computing: Security II
- Lecture 28: Cloud Computing: Security III
- Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud
- Lecture 30; Cloud Computing: Broker for Cloud Marketplace
- Lecture 31: Mobile Cloud Computing -I
- Lecture 32: Mobile Cloud Computing -II
- Lecture 33: Fog Computing-I
- Lecture 34: Fog Computing-II
- Lecture 35:Use Case-Geo-spatial Cloud
- Lecture 36 : Introduction to DOCKER Container
- Lecture 37 : Green Cloud
- Lecture 38 : Sensor Cloud Computing
- Lecture 39 : IoT Cloud
- Lecture 40 : Course Summary and Research Areas
- Lecture - 41 Cloudââ¬âFog Computing - Overview
- Lecture - 42 Resource Management - I
- Lecture 43 Resource Management - II
- Lecture 44 Cloud Federation
- Lecture 45 "VM Migration - Basics Migration strategies"
- Lecture 46 "VM Migration - Basics Migration strategies"
- Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container "
- Lecture 48 "Docker Container ââ¬â Overview Docker ââ¬â Components Docker ââ¬â Architecture"
- Lecture 49 Docker Container - Demo
- Lecture 50 Docker Container - Demo
- Lecture 51 Dew Computing
- Lecture 52 Serverless Computing - I
- Lecture 53 Serverless Computing - II
- Lecture 54 Sustainable Cloud Computing - I
- Lecture 55 Sustainable Cloud Computing - II
- Live Session 11-03-2020
- Watch on YouTube
- Assignments
- Download Videos
- Transcripts
- Lecture Notes (1)
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20 | Lecture 20: | |
21 | Lecture 21 : SLA-Tutorial | |
22 | Lecture 22 : Cloudonomics-Tutorial | |
23 | Lecture 23 : MapReduce-Tutorial | |
24 | Lecture 24 : ResourceMgmt-I | |
25 | Lecture 25 : ResourceMgmt-II | |
26 | Lecture 26: Cloud Computing: Security I | |
27 | Lecture 27: Cloud Computing: Security II | |
28 | Lecture 28: Cloud Computing: Security III | |
29 | Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud | |
30 | Lecture 30; Cloud Computing: Broker for Cloud Marketplace | |
31 | Lecture 31: Mobile Cloud Computing -I | |
32 | Lecture 32: Mobile Cloud Computing -II | |
33 | Lecture 33: Fog Computing-I | |
34 | Lecture 34: Fog Computing-II | |
35 | Lecture 35:Use Case-Geo-spatial Cloud | |
36 | Lecture 36 : Introduction to DOCKER Container | |
37 | Lecture 37 : Green Cloud | |
38 | Lecture 38 : Sensor Cloud Computing | |
39 | Lecture 39 : IoT Cloud | |
40 | Lecture 40 : Course Summary and Research Areas | |
41 | Lecture - 41 Cloudââ¬âFog Computing - Overview | |
42 | Lecture - 42 Resource Management - I | |
43 | Lecture 43 Resource Management - II | |
44 | Lecture 44 Cloud Federation | |
45 | Lecture 45 "VM Migration - Basics Migration strategies" | |
46 | Lecture 46 "VM Migration - Basics Migration strategies" | |
47 | Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container " | |
48 | Lecture 48 "Docker Container ââ¬â Overview Docker ââ¬â Components Docker ââ¬â Architecture" | |
49 | Lecture 49 Docker Container - Demo | |
50 | Lecture 50 Docker Container - Demo | |
51 | Lecture 51 Dew Computing | |
52 | Lecture 52 Serverless Computing - I | |
53 | Lecture 53 Serverless Computing - II | |
54 | Lecture 54 Sustainable Cloud Computing - I | |
55 | Lecture 55 Sustainable Cloud Computing - II |
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20 | Lecture 20: | |
21 | Lecture 21 : SLA-Tutorial | |
22 | Lecture 22 : Cloudonomics-Tutorial | |
23 | Lecture 23 : MapReduce-Tutorial | |
24 | Lecture 24 : ResourceMgmt-I | |
25 | Lecture 25 : ResourceMgmt-II | |
26 | Lecture 26: Cloud Computing: Security I | |
27 | Lecture 27: Cloud Computing: Security II | |
28 | Lecture 28: Cloud Computing: Security III | |
29 | Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud | |
30 | Lecture 30; Cloud Computing: Broker for Cloud Marketplace | |
31 | Lecture 31: Mobile Cloud Computing -I | |
32 | Lecture 32: Mobile Cloud Computing -II | |
33 | Lecture 33: Fog Computing-I | |
34 | Lecture 34: Fog Computing-II | |
35 | Lecture 35:Use Case-Geo-spatial Cloud | |
36 | Lecture 36 : Introduction to DOCKER Container | |
37 | Lecture 37 : Green Cloud | |
38 | Lecture 38 : Sensor Cloud Computing | |
39 | Lecture 39 : IoT Cloud | |
40 | Lecture 40 : Course Summary and Research Areas | |
41 | Lecture - 41 Cloudââ¬âFog Computing - Overview | PDF unavailable |
42 | Lecture - 42 Resource Management - I | PDF unavailable |
43 | Lecture 43 Resource Management - II | PDF unavailable |
44 | Lecture 44 Cloud Federation | PDF unavailable |
45 | Lecture 45 "VM Migration - Basics Migration strategies" | PDF unavailable |
46 | Lecture 46 "VM Migration - Basics Migration strategies" | PDF unavailable |
47 | Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container " | PDF unavailable |
48 | Lecture 48 "Docker Container ââ¬â Overview Docker ââ¬â Components Docker ââ¬â Architecture" | PDF unavailable |
49 | Lecture 49 Docker Container - Demo | PDF unavailable |
50 | Lecture 50 Docker Container - Demo | PDF unavailable |
51 | Lecture 51 Dew Computing | PDF unavailable |
52 | Lecture 52 Serverless Computing - I | PDF unavailable |
53 | Lecture 53 Serverless Computing - II | PDF unavailable |
54 | Lecture 54 Sustainable Cloud Computing - I | PDF unavailable |
55 | Lecture 55 Sustainable Cloud Computing - II | PDF unavailable |
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19 | Lecture 19: | |
20 | Lecture 20: | |
21 | Lecture 21 : SLA-Tutorial | |
22 | Lecture 22 : Cloudonomics-Tutorial | |
23 | Lecture 23 : MapReduce-Tutorial | |
24 | Lecture 24 : ResourceMgmt-I | |
25 | Lecture 25 : ResourceMgmt-II | |
26 | Lecture 26: Cloud Computing: Security I | |
27 | Lecture 27: Cloud Computing: Security II | |
28 | Lecture 28: Cloud Computing: Security III | |
29 | Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud | |
30 | Lecture 30; Cloud Computing: Broker for Cloud Marketplace | |
31 | Lecture 31: Mobile Cloud Computing -I | |
32 | Lecture 32: Mobile Cloud Computing -II | |
33 | Lecture 33: Fog Computing-I | |
34 | Lecture 34: Fog Computing-II | |
35 | Lecture 35:Use Case-Geo-spatial Cloud | |
36 | Lecture 36 : Introduction to DOCKER Container | |
37 | Lecture 37 : Green Cloud | |
38 | Lecture 38 : Sensor Cloud Computing | |
39 | Lecture 39 : IoT Cloud | |
40 | Lecture 40 : Course Summary and Research Areas | |
41 | Lecture - 41 Cloudââ¬âFog Computing - Overview | Not Available |
42 | Lecture - 42 Resource Management - I | Not Available |
43 | Lecture 43 Resource Management - II | Not Available |
44 | Lecture 44 Cloud Federation | Not Available |
45 | Lecture 45 "VM Migration - Basics Migration strategies" | Not Available |
46 | Lecture 46 "VM Migration - Basics Migration strategies" | Not Available |
47 | Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container " | Not Available |
48 | Lecture 48 "Docker Container ââ¬â Overview Docker ââ¬â Components Docker ââ¬â Architecture" | Not Available |
49 | Lecture 49 Docker Container - Demo | Not Available |
50 | Lecture 50 Docker Container - Demo | Not Available |
51 | Lecture 51 Dew Computing | Not Available |
52 | Lecture 52 Serverless Computing - I | Not Available |
53 | Lecture 53 Serverless Computing - II | Not Available |
54 | Lecture 54 Sustainable Cloud Computing - I | Not Available |
55 | Lecture 55 Sustainable Cloud Computing - II | Not Available |
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15 | Lecture 15 : | |
16 | Lecture 16 | |
17 | Lecture 17: | |
18 | Lecture 18: | |
19 | Lecture 19: | |
20 | Lecture 20: | |
21 | Lecture 21 : SLA-Tutorial | |
22 | Lecture 22 : Cloudonomics-Tutorial | |
23 | Lecture 23 : MapReduce-Tutorial | |
24 | Lecture 24 : ResourceMgmt-I | |
25 | Lecture 25 : ResourceMgmt-II | |
26 | Lecture 26: Cloud Computing: Security I | |
27 | Lecture 27: Cloud Computing: Security II | |
28 | Lecture 28: Cloud Computing: Security III | |
29 | Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud | |
30 | Lecture 30; Cloud Computing: Broker for Cloud Marketplace | |
31 | Lecture 31: Mobile Cloud Computing -I | |
32 | Lecture 32: Mobile Cloud Computing -II | |
33 | Lecture 33: Fog Computing-I | |
34 | Lecture 34: Fog Computing-II | |
35 | Lecture 35:Use Case-Geo-spatial Cloud | |
36 | Lecture 36 : Introduction to DOCKER Container | |
37 | Lecture 37 : Green Cloud | |
38 | Lecture 38 : Sensor Cloud Computing | |
39 | Lecture 39 : IoT Cloud | |
40 | Lecture 40 : Course Summary and Research Areas | |
41 | Lecture - 41 Cloudââ¬âFog Computing - Overview | Not Available |
42 | Lecture - 42 Resource Management - I | Not Available |
43 | Lecture 43 Resource Management - II | Not Available |
44 | Lecture 44 Cloud Federation | Not Available |
45 | Lecture 45 "VM Migration - Basics Migration strategies" | Not Available |
46 | Lecture 46 "VM Migration - Basics Migration strategies" | Not Available |
47 | Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container " | Not Available |
48 | Lecture 48 "Docker Container ââ¬â Overview Docker ââ¬â Components Docker ââ¬â Architecture" | Not Available |
49 | Lecture 49 Docker Container - Demo | Not Available |
50 | Lecture 50 Docker Container - Demo | Not Available |
51 | Lecture 51 Dew Computing | Not Available |
52 | Lecture 52 Serverless Computing - I | Not Available |
53 | Lecture 53 Serverless Computing - II | Not Available |
54 | Lecture 54 Sustainable Cloud Computing - I | Not Available |
55 | Lecture 55 Sustainable Cloud Computing - II | Not Available |
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12 | Lecture 12: | |
13 | Lecture 13 : | |
14 | lecture 14 : | |
15 | Lecture 15 : | |
16 | Lecture 16 | |
17 | Lecture 17: | |
18 | Lecture 18: | |
19 | Lecture 19: | |
20 | Lecture 20: | |
21 | Lecture 21 : SLA-Tutorial | |
22 | Lecture 22 : Cloudonomics-Tutorial | |
23 | Lecture 23 : MapReduce-Tutorial | |
24 | Lecture 24 : ResourceMgmt-I | |
25 | Lecture 25 : ResourceMgmt-II | |
26 | Lecture 26: Cloud Computing: Security I | |
27 | Lecture 27: Cloud Computing: Security II | |
28 | Lecture 28: Cloud Computing: Security III | |
29 | Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud | |
30 | Lecture 30; Cloud Computing: Broker for Cloud Marketplace | |
31 | Lecture 31: Mobile Cloud Computing -I | |
32 | Lecture 32: Mobile Cloud Computing -II | |
33 | Lecture 33: Fog Computing-I | |
34 | Lecture 34: Fog Computing-II | |
35 | Lecture 35:Use Case-Geo-spatial Cloud | |
36 | Lecture 36 : Introduction to DOCKER Container | |
37 | Lecture 37 : Green Cloud | |
38 | Lecture 38 : Sensor Cloud Computing | |
39 | Lecture 39 : IoT Cloud | |
40 | Lecture 40 : Course Summary and Research Areas | |
41 | Lecture - 41 Cloudââ¬âFog Computing - Overview | Not Available |
42 | Lecture - 42 Resource Management - I | Not Available |
43 | Lecture 43 Resource Management - II | Not Available |
44 | Lecture 44 Cloud Federation | Not Available |
45 | Lecture 45 "VM Migration - Basics Migration strategies" | Not Available |
46 | Lecture 46 "VM Migration - Basics Migration strategies" | Not Available |
47 | Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container " | Not Available |
48 | Lecture 48 "Docker Container ââ¬â Overview Docker ââ¬â Components Docker ââ¬â Architecture" | Not Available |
49 | Lecture 49 Docker Container - Demo | Not Available |
50 | Lecture 50 Docker Container - Demo | Not Available |
51 | Lecture 51 Dew Computing | Not Available |
52 | Lecture 52 Serverless Computing - I | Not Available |
53 | Lecture 53 Serverless Computing - II | Not Available |
54 | Lecture 54 Sustainable Cloud Computing - I | Not Available |
55 | Lecture 55 Sustainable Cloud Computing - II | Not Available |
Sl.No | Chapter Name | Kannada |
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1 | Lecture 1: | |
2 | Lecture 2: | |
3 | Lecture 3: | |
4 | Lecture 4: | |
5 | Lecture 5: | |
6 | Lecture 6 | |
7 | Lecture 7 | |
8 | Lecture 8 | |
9 | Lecture 9 | |
10 | Lecture 10 | |
11 | Lecture 11: | |
12 | Lecture 12: | |
13 | Lecture 13 : | |
14 | lecture 14 : | |
15 | Lecture 15 : | |
16 | Lecture 16 | |
17 | Lecture 17: | |
18 | Lecture 18: | |
19 | Lecture 19: | |
20 | Lecture 20: | |
21 | Lecture 21 : SLA-Tutorial | |
22 | Lecture 22 : Cloudonomics-Tutorial | |
23 | Lecture 23 : MapReduce-Tutorial | |
24 | Lecture 24 : ResourceMgmt-I | |
25 | Lecture 25 : ResourceMgmt-II | |
26 | Lecture 26: Cloud Computing: Security I | |
27 | Lecture 27: Cloud Computing: Security II | |
28 | Lecture 28: Cloud Computing: Security III | |
29 | Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud | |
30 | Lecture 30; Cloud Computing: Broker for Cloud Marketplace | |
31 | Lecture 31: Mobile Cloud Computing -I | |
32 | Lecture 32: Mobile Cloud Computing -II | |
33 | Lecture 33: Fog Computing-I | |
34 | Lecture 34: Fog Computing-II | |
35 | Lecture 35:Use Case-Geo-spatial Cloud | |
36 | Lecture 36 : Introduction to DOCKER Container | |
37 | Lecture 37 : Green Cloud | |
38 | Lecture 38 : Sensor Cloud Computing | |
39 | Lecture 39 : IoT Cloud | |
40 | Lecture 40 : Course Summary and Research Areas | |
41 | Lecture - 41 Cloudââ¬âFog Computing - Overview | Not Available |
42 | Lecture - 42 Resource Management - I | Not Available |
43 | Lecture 43 Resource Management - II | Not Available |
44 | Lecture 44 Cloud Federation | Not Available |
45 | Lecture 45 "VM Migration - Basics Migration strategies" | Not Available |
46 | Lecture 46 "VM Migration - Basics Migration strategies" | Not Available |
47 | Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container " | Not Available |
48 | Lecture 48 "Docker Container ââ¬â Overview Docker ââ¬â Components Docker ââ¬â Architecture" | Not Available |
49 | Lecture 49 Docker Container - Demo | Not Available |
50 | Lecture 50 Docker Container - Demo | Not Available |
51 | Lecture 51 Dew Computing | Not Available |
52 | Lecture 52 Serverless Computing - I | Not Available |
53 | Lecture 53 Serverless Computing - II | Not Available |
54 | Lecture 54 Sustainable Cloud Computing - I | Not Available |
55 | Lecture 55 Sustainable Cloud Computing - II | Not Available |
Sl.No | Chapter Name | Malayalam |
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1 | Lecture 1: | |
2 | Lecture 2: | |
3 | Lecture 3: | |
4 | Lecture 4: | |
5 | Lecture 5: | |
6 | Lecture 6 | |
7 | Lecture 7 | |
8 | Lecture 8 | |
9 | Lecture 9 | |
10 | Lecture 10 | |
11 | Lecture 11: | |
12 | Lecture 12: | |
13 | Lecture 13 : | |
14 | lecture 14 : | |
15 | Lecture 15 : | |
16 | Lecture 16 | |
17 | Lecture 17: | |
18 | Lecture 18: | |
19 | Lecture 19: | |
20 | Lecture 20: | |
21 | Lecture 21 : SLA-Tutorial | |
22 | Lecture 22 : Cloudonomics-Tutorial | |
23 | Lecture 23 : MapReduce-Tutorial | |
24 | Lecture 24 : ResourceMgmt-I | |
25 | Lecture 25 : ResourceMgmt-II | |
26 | Lecture 26: Cloud Computing: Security I | |
27 | Lecture 27: Cloud Computing: Security II | |
28 | Lecture 28: Cloud Computing: Security III | |
29 | Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud | |
30 | Lecture 30; Cloud Computing: Broker for Cloud Marketplace | |
31 | Lecture 31: Mobile Cloud Computing -I | |
32 | Lecture 32: Mobile Cloud Computing -II | |
33 | Lecture 33: Fog Computing-I | |
34 | Lecture 34: Fog Computing-II | |
35 | Lecture 35:Use Case-Geo-spatial Cloud | |
36 | Lecture 36 : Introduction to DOCKER Container | |
37 | Lecture 37 : Green Cloud | |
38 | Lecture 38 : Sensor Cloud Computing | |
39 | Lecture 39 : IoT Cloud | |
40 | Lecture 40 : Course Summary and Research Areas | |
41 | Lecture - 41 Cloudââ¬âFog Computing - Overview | Not Available |
42 | Lecture - 42 Resource Management - I | Not Available |
43 | Lecture 43 Resource Management - II | Not Available |
44 | Lecture 44 Cloud Federation | Not Available |
45 | Lecture 45 "VM Migration - Basics Migration strategies" | Not Available |
46 | Lecture 46 "VM Migration - Basics Migration strategies" | Not Available |
47 | Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container " | Not Available |
48 | Lecture 48 "Docker Container ââ¬â Overview Docker ââ¬â Components Docker ââ¬â Architecture" | Not Available |
49 | Lecture 49 Docker Container - Demo | Not Available |
50 | Lecture 50 Docker Container - Demo | Not Available |
51 | Lecture 51 Dew Computing | Not Available |
52 | Lecture 52 Serverless Computing - I | Not Available |
53 | Lecture 53 Serverless Computing - II | Not Available |
54 | Lecture 54 Sustainable Cloud Computing - I | Not Available |
55 | Lecture 55 Sustainable Cloud Computing - II | Not Available |
Sl.No | Chapter Name | Marathi |
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1 | Lecture 1: | |
2 | Lecture 2: | |
3 | Lecture 3: | |
4 | Lecture 4: | |
5 | Lecture 5: | |
6 | Lecture 6 | |
7 | Lecture 7 | |
8 | Lecture 8 | |
9 | Lecture 9 | |
10 | Lecture 10 | |
11 | Lecture 11: | |
12 | Lecture 12: | |
13 | Lecture 13 : | |
14 | lecture 14 : | |
15 | Lecture 15 : | |
16 | Lecture 16 | |
17 | Lecture 17: | |
18 | Lecture 18: | |
19 | Lecture 19: | |
20 | Lecture 20: | |
21 | Lecture 21 : SLA-Tutorial | |
22 | Lecture 22 : Cloudonomics-Tutorial | |
23 | Lecture 23 : MapReduce-Tutorial | |
24 | Lecture 24 : ResourceMgmt-I | |
25 | Lecture 25 : ResourceMgmt-II | |
26 | Lecture 26: Cloud Computing: Security I | |
27 | Lecture 27: Cloud Computing: Security II | |
28 | Lecture 28: Cloud Computing: Security III | |
29 | Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud | |
30 | Lecture 30; Cloud Computing: Broker for Cloud Marketplace | |
31 | Lecture 31: Mobile Cloud Computing -I | |
32 | Lecture 32: Mobile Cloud Computing -II | |
33 | Lecture 33: Fog Computing-I | |
34 | Lecture 34: Fog Computing-II | |
35 | Lecture 35:Use Case-Geo-spatial Cloud | |
36 | Lecture 36 : Introduction to DOCKER Container | |
37 | Lecture 37 : Green Cloud | |
38 | Lecture 38 : Sensor Cloud Computing | |
39 | Lecture 39 : IoT Cloud | |
40 | Lecture 40 : Course Summary and Research Areas | |
41 | Lecture - 41 Cloudââ¬âFog Computing - Overview | Not Available |
42 | Lecture - 42 Resource Management - I | Not Available |
43 | Lecture 43 Resource Management - II | Not Available |
44 | Lecture 44 Cloud Federation | Not Available |
45 | Lecture 45 "VM Migration - Basics Migration strategies" | Not Available |
46 | Lecture 46 "VM Migration - Basics Migration strategies" | Not Available |
47 | Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container " | Not Available |
48 | Lecture 48 "Docker Container ââ¬â Overview Docker ââ¬â Components Docker ââ¬â Architecture" | Not Available |
49 | Lecture 49 Docker Container - Demo | Not Available |
50 | Lecture 50 Docker Container - Demo | Not Available |
51 | Lecture 51 Dew Computing | Not Available |
52 | Lecture 52 Serverless Computing - I | Not Available |
53 | Lecture 53 Serverless Computing - II | Not Available |
54 | Lecture 54 Sustainable Cloud Computing - I | Not Available |
55 | Lecture 55 Sustainable Cloud Computing - II | Not Available |
Sl.No | Chapter Name | Tamil |
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1 | Lecture 1: | |
2 | Lecture 2: | |
3 | Lecture 3: | |
4 | Lecture 4: | |
5 | Lecture 5: | |
6 | Lecture 6 | |
7 | Lecture 7 | |
8 | Lecture 8 | |
9 | Lecture 9 | |
10 | Lecture 10 | |
11 | Lecture 11: | |
12 | Lecture 12: | |
13 | Lecture 13 : | |
14 | lecture 14 : | |
15 | Lecture 15 : | |
16 | Lecture 16 | |
17 | Lecture 17: | |
18 | Lecture 18: | |
19 | Lecture 19: | |
20 | Lecture 20: | |
21 | Lecture 21 : SLA-Tutorial | |
22 | Lecture 22 : Cloudonomics-Tutorial | |
23 | Lecture 23 : MapReduce-Tutorial | |
24 | Lecture 24 : ResourceMgmt-I | |
25 | Lecture 25 : ResourceMgmt-II | |
26 | Lecture 26: Cloud Computing: Security I | |
27 | Lecture 27: Cloud Computing: Security II | |
28 | Lecture 28: Cloud Computing: Security III | |
29 | Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud | |
30 | Lecture 30; Cloud Computing: Broker for Cloud Marketplace | |
31 | Lecture 31: Mobile Cloud Computing -I | |
32 | Lecture 32: Mobile Cloud Computing -II | |
33 | Lecture 33: Fog Computing-I | |
34 | Lecture 34: Fog Computing-II | |
35 | Lecture 35:Use Case-Geo-spatial Cloud | |
36 | Lecture 36 : Introduction to DOCKER Container | |
37 | Lecture 37 : Green Cloud | |
38 | Lecture 38 : Sensor Cloud Computing | |
39 | Lecture 39 : IoT Cloud | |
40 | Lecture 40 : Course Summary and Research Areas | |
41 | Lecture - 41 Cloudââ¬âFog Computing - Overview | Not Available |
42 | Lecture - 42 Resource Management - I | Not Available |
43 | Lecture 43 Resource Management - II | Not Available |
44 | Lecture 44 Cloud Federation | Not Available |
45 | Lecture 45 "VM Migration - Basics Migration strategies" | Not Available |
46 | Lecture 46 "VM Migration - Basics Migration strategies" | Not Available |
47 | Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container " | Not Available |
48 | Lecture 48 "Docker Container ââ¬â Overview Docker ââ¬â Components Docker ââ¬â Architecture" | Not Available |
49 | Lecture 49 Docker Container - Demo | Not Available |
50 | Lecture 50 Docker Container - Demo | Not Available |
51 | Lecture 51 Dew Computing | Not Available |
52 | Lecture 52 Serverless Computing - I | Not Available |
53 | Lecture 53 Serverless Computing - II | Not Available |
54 | Lecture 54 Sustainable Cloud Computing - I | Not Available |
55 | Lecture 55 Sustainable Cloud Computing - II | Not Available |
Sl.No | Chapter Name | Telugu |
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1 | Lecture 1: | |
2 | Lecture 2: | |
3 | Lecture 3: | |
4 | Lecture 4: | |
5 | Lecture 5: | |
6 | Lecture 6 | |
7 | Lecture 7 | |
8 | Lecture 8 | |
9 | Lecture 9 | |
10 | Lecture 10 | |
11 | Lecture 11: | |
12 | Lecture 12: | |
13 | Lecture 13 : | |
14 | lecture 14 : | |
15 | Lecture 15 : | |
16 | Lecture 16 | |
17 | Lecture 17: | |
18 | Lecture 18: | |
19 | Lecture 19: | |
20 | Lecture 20: | |
21 | Lecture 21 : SLA-Tutorial | |
22 | Lecture 22 : Cloudonomics-Tutorial | |
23 | Lecture 23 : MapReduce-Tutorial | |
24 | Lecture 24 : ResourceMgmt-I | |
25 | Lecture 25 : ResourceMgmt-II | |
26 | Lecture 26: Cloud Computing: Security I | |
27 | Lecture 27: Cloud Computing: Security II | |
28 | Lecture 28: Cloud Computing: Security III | |
29 | Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud | |
30 | Lecture 30; Cloud Computing: Broker for Cloud Marketplace | |
31 | Lecture 31: Mobile Cloud Computing -I | |
32 | Lecture 32: Mobile Cloud Computing -II | |
33 | Lecture 33: Fog Computing-I | |
34 | Lecture 34: Fog Computing-II | |
35 | Lecture 35:Use Case-Geo-spatial Cloud | |
36 | Lecture 36 : Introduction to DOCKER Container | |
37 | Lecture 37 : Green Cloud | |
38 | Lecture 38 : Sensor Cloud Computing | |
39 | Lecture 39 : IoT Cloud | |
40 | Lecture 40 : Course Summary and Research Areas | |
41 | Lecture - 41 Cloudââ¬âFog Computing - Overview | Not Available |
42 | Lecture - 42 Resource Management - I | Not Available |
43 | Lecture 43 Resource Management - II | Not Available |
44 | Lecture 44 Cloud Federation | Not Available |
45 | Lecture 45 "VM Migration - Basics Migration strategies" | Not Available |
46 | Lecture 46 "VM Migration - Basics Migration strategies" | Not Available |
47 | Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container " | Not Available |
48 | Lecture 48 "Docker Container ââ¬â Overview Docker ââ¬â Components Docker ââ¬â Architecture" | Not Available |
49 | Lecture 49 Docker Container - Demo | Not Available |
50 | Lecture 50 Docker Container - Demo | Not Available |
51 | Lecture 51 Dew Computing | Not Available |
52 | Lecture 52 Serverless Computing - I | Not Available |
53 | Lecture 53 Serverless Computing - II | Not Available |
54 | Lecture 54 Sustainable Cloud Computing - I | Not Available |
55 | Lecture 55 Sustainable Cloud Computing - II | Not Available |
Sl.No | Language | Book link |
---|---|---|
1 | English | |
2 | Bengali | |
3 | Gujarati | Not Available |
4 | Hindi | |
5 | Kannada | |
6 | Malayalam | |
7 | Marathi | |
8 | Tamil | |
9 | Telugu |
NPTEL Cloud Computing Week 3 Assignment Answers July 2023
NPTEL Cloud Computing Week 3 Assignment Answers 2023 :- All the Answers are provided here to help the students as a reference, You must submit your assignment at your own knowledge.
NPTEL Cloud Computing Week 3 Assignment Answers 2023
1. In the context of aggregated demand i n resource provisioning in the cloud, how does adding n independent demands affect the coefficient of variation (C)?
- A) Increases the Cv
- B) Decreases the Cv
- C) Does not change the E x
- D) Inversely proportional to the mean
2. What does the term “biasness towards vendors” imply in the context of SLA monitoring? A) Vendor-driven selection of monitoring parameters B) Customer-driven selection of monitoring parameters C) Balanced approach i n monitoring parameters D) Lack of active monitoring on the customer’s side
3. In the Openstack storage concept ______ storage persists until the VM is terminated and is managed by _________ A) Nova, Cinder B) Ephemeral, Cinder C) Cinder, Ephemeral D) Ephemeral , Nova
4. What condition makes periodic provisioning acceptable in the presence of linear demand? A) High resource utilization B) Non-linear demand C) Instantaneous demand D) Flat demand
5. What is (are) the key factor(s) to consider in a hybrid model for utility pricing? A) Reliability a n d accessibility B) Network cost and usage costs C) Peak to average demand ratio D) Interoperability overhead
6. What architecture is used in a parallel database for the efficient execution of SQL queries? A) Shared memory architecture B) Shared d i sk architecture C) Shared nothing architecture D) Shared cache architecture
7. What type of environment benefits from utility pricing? A) Environments with fixed demand levels B) Environments with limited resource scalability C) Environments w i th variable demand levels D) Environments with prepaid resource allocation
8. What is the role of Neutron in the provisioning flow in Open Stack? A) Fetches information about the whole cluster from the database B) Publishes a message to the compute queue to trigger VM provisioning C) Configures IP, gateway, DNS name, and L2 connectivity. D) Contacts C i nder to get volume data
9. How does the master node in the Google File System maintain communication with chunk servers? A) Command messages B) Update messages C) Query messages D) Heartbe a t messages
10. What does the ‘availability’ metric represent in the monitoring and auditing of SLAs? A) The speed at which a service responds B) The percentage of uptime for a service C) How often the service i s available D) The ability for a resource to grow infinitely
NPTEL Cloud Computing Week 3 Assignment Answers 2022 [July-Dec]
1. Which of the following is/are NOT SLA requirement(s) of PaaS cloud delivery model? a. Privacy b. Data Retention and Deletion c. Machine-Readable SLAs d. Certification
2. Which of the following is/are true regarding penalty cost? (Here D(t) and R(t) are instantaneous demand and resources at time t.) a. Penalty cost ox ID()/R()|dt b. If demand is flat, penalty is equal to 0. c. If demand is exponential (D(t)=e’), any fixed provisioning interval (tp) according to the current demands will fall linearly behind. d. The penalty cost for exponential demand is exponential.
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3. Row-oriented storage is efficient for data-warehouse workloads. a . TRUE b. FALSE
4. Which of the following is/are example(s) of cloud SLA(s) with IlaaS delivery model? a. Amazon EC2 b. Google App Engine c. Salesforce CRM d. Zoho mail
5. Which of the following OpenStack components is used for block storage services? a. Keystone b. Cinder c. Swift d. Neutron
6. In cloud , service downtime is 30 minutes and availability of the service is 0.80. What is the service uptime? (a) 120 minutes (b) 60 minutes (c) 150 minutes (d) 135 minutes
👇 For Week 04 Assignment Answers 👇
7 . In Google File System (GFS), the master maintains regular communication with the chunk servers. a. TRUE b. FALSE
8. In a system, 400 unit workloads have been added. What will be the penalty? a. 40% b. 100 % c. 20% d. 8000%
9. Which of the following option(s) is/are correct? a. Service Level Agreement(SLA) contains Service Level Objectives(SLO) b. Service Level Objectives(SLO) contains Service Level Agreement(SLA) c. Multiple Service Level Agreements (SLAs) are aggregated to Key Performance Indiocator (KPI) d. Key Performance Indiocators (KP I s) are aggregated to Service Level Objectives(SLO)
10. Statement 1: In OpenStack block storage, the stored objects persist until the VM is terminated. Statement 2: In OpenStack ephemeral storage, the stored objects are accessible from within VM as local file system. a. Both statement 1 and 2 are correct b. Statement 1 is correct and statement 2 is incorrect c. Statement 2 is correct and statement 1 is incorrect d. Both statement 1 and 2 are incorrect
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What is Cloud Computing?
Cloud computing is a scalable services consumption and delivery platform that provides on-demand computing service for a shared pool of resources, namely servers, storage, networking, software, database, applications, etc, over the internet is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources, which can be rapidly provisioned and released with minimal management effort. This course will introduce various aspects of cloud computing, including fundamentals, management issues, security challenges, and future research trends. This will help students (both UG and PG levels) and researchers to use and explore the cloud computing platforms.
CRITERIA TO GET A CERTIFICATE
Average assignment score = 25% of the average of best 8 assignments out of the total 12 assignments given in the course. Exam score = 75% of the proctored certification exam score out of 100
Final score = Average assignment score + Exam score
YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
NPTEL Cloud Computing Week 3 Assignment Answers 2022 [Jan 2022]
Q1. Which of the following is false about SLA contents
a) A complete, specific definition of each service b) An auditing mechanism to monitor the services c) The responsibilities of the service provider and consumer d) None of these
Answer:- d) None of these
FOR NEXT WEEK ASSIGNMENT ANSWERS
Q2. In cloud, computing resources are allocated
a) Through a centralized service discovering agent b) By service level agreement c) Globally without any centralized agent d) All of them
Answer:- c) Globally without any centralized agent
Q3. Which of the following is correct about Availability?
a) Availability = 1- (UpTime / TotalTime) b) Availability = 1+ (DownTime / UpTime) c) Availability = 1+ (UpTime / DownTime) d) Availability = 1- (DownTime / UpTime)
Answer:- d) Availability = 1- (DownTime / UpTime)
Q4. Statement 1: Coefficient of variance represents the ratio of standard deviation to mean. Statement 2: Coefficient of variance is a useful statistic for comparing the degree of uniformity from one data series to another.
a) Only statement 1 is true b) Only statement 2 is true c) Both the statements are true d) Both the statements are False
Answer:- c) Both the statements are true
Q5. Say a cloud service is well maintaining it’s 95% availability as mentioned in Service Level Agreement. However, still the services are not performing as expected when the load increases abruptly. The problem can be referred to as an issue of
a) Load balancing b) Linearity c) Reliability d) Durability
Answer:- c) Reliability
Q6. Which of the following is true about penalty, where D(t) is instantaneous demand at time t and R(t) is response at time t?
a) Penalty ∝ ∫ | R(t) * D(t) | dt b) Penalty ∝ ∫ | D(t) + R(t) | dt c) Penalty ∝ ∫ | D(t) – R(t) | dt d) None of these
Answer:- c) Penalty ∝ ∫ | D(t) – R(t) | dt
Q7. It is absolutely beneficial to purchase a cloud service when
a) Utility premium < the peak to average demand ratio b) Utility premium > the peak to average demand ratio c) Utility premium <= the peak to average demand ratio d) Utility premium >= the peak to average demand ratio
Answer:- a) Utility premium < the peak to average demand ratio
Q8. If R t is the ratio of execution time taken by a process in sequential and parallel architecture, and p is the number of parallel computing nodes available, then the parallel efficiency is
a) R t /p b) p / R t c) None of the above d) px Rt
Answer:- a) R t /p
Q9. Statement 1: Hadoop Distributed File System is an open source implementation of GFS architecture. Statement 2: In Google File System, the master maintains regular communication with the chunk servers.
a) Only statement 1 is true b) Only statement 2 is true c) Both the statements are true d) Both the statements are false
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Q10. Which of the following is true?
a) IaaS can be built on PaaS b) PaaS can be built on SaaS c) IaaS can be built on SaaS d) None of the above
Answer:- d) None of the above
Disclaimer :- We do not claim 100% surety of solutions, these solutions are based on our sole expertise, and by using posting these answers we are simply looking to help students as a reference, so we urge do your assignment on your own.
NPTEL Cloud Computing Week 3 Assignment Answers 2022 :- All the Answers provided here to help the students as a reference, You must submit your assignment at your own knowledge.
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Cloud Computing | Week 7
Session: JAN-APR 2024
Course Name: Cloud Computing
Course Link: Click Here
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These are Nptel Cloud Computing Week 7 Assignment 7 Answers
Q1. Which of the following is/are key requirement(s) of Mobile Cloud Computing? A) Simple APIs offering access to mobile services B) Internet access to remotely stored applications in the cloud C) Sophisticated APIs requiring knowledge of underlying network technologies D) Web interface
Answer: A), B), D)
Q2. In Mobile Cloud Computing, the synchronizer module collects results of split execution and combines them, and makes the execution details transparent to the user. A) TRUE B) FALSE
Answer: A) TRUE
Q3. Geographical distribution of server nodes is Cloud Computing. in Fog Computing and in A) Distributed, Centralized B) Distributed, Distributed C) Centralized, Distributed D) Centralized, Centralized
Answer: A) Distributed, Centralized
Q4. Formulate the amount of energy saved (E) during offloading for the given data. Energy cost/second while when mobile phone is doing computation = C1 Energy cost/second while when mobile phone is idle = C2 Energy cost/second while when mobile phone is transmitting the data = C3 Speed of cloud to compute k instructions = Sc Speed of mobile to compute k instructions = Sm Data need to transmit = D Bandwidth of the wireless Internet = B A) E = C2(k/Sm) – C1(k/Sc) – C3(D/B) B) E = C1(k/Sm) – C2(k/Sc) – C3(D/B) C) E = C3(k/Sm) – C2(k/Sc) – C1(D/B) D) E = C1(k/Sc) – C2(k/Sm) – C3(D/B)
Answer: B) E = C1(k/Sm) – C2(k/Sc) – C3(D/B)
Q5. Which of the following is/are not a benefit of Fog computing? A) Location awareness B) Higher latency as compared to cloud computing C) Improved QoS D) Man-in-the-middle-attack
Answer: B), D)
Q6. Population of a city/town is a static geographic information. A)TRUE B)FALSE
Answer: B)FALSE
Q7. Which of the following statement(s) is/are FALSE about Fog Computing? A) Intelligence is brought to the cloud from the end users. B) Fog computing is used for real-time applications C) Fog nodes’ response time is higher than cloud server D) Network routers, WiFi Gateways will be capable of running applications
Answer: A), C)
Q8. Fog Computing has _______ number of server nodes and _______ has delay jitter compared to Cloud Computing. A) small, higher B) large, higher C) small, lower D) large, lower
Answer: D) large, lower
Q9. In Geospatial Cloud Models, which level of interoperability ensures the ability to “consume” the information? A) Service Level Interoperability B) Security Level Interoperability C) Data Level Interoperability D) None of the above
Answer: C) Data Level Interoperability
Q10. Consider the statements and select the correct answer: Statement I: In Geospatial cloud, data services in cloud can be run through IaaS service model. Statement II: Web service is the key technology to provide Geospatial services. A) Statement 1 is correct but Statement 2 is incorrect B) Statement 2 is correct but Statement 1 is incorrect C) Both the statements are correct D) Both the statements are incorrect.
Answer: B) Statement 2 is correct but Statement 1 is incorrect
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Session: JULY-DEC 2023
These are Nptel Cloud Computing week 7 Assignment 7 Answers
Q1. ______ ensures the ability to exchange/obtain the information to be “consumed”. a) Data Level Interoperability b) Security Level Interoperability c) Service Level Interoperability d) None of the above
Answer: c) Service Level Interoperability
Q2. Fog computing enablers are a. Virtualization b. Big data c. Service oriented architecture d. None of these
Answer: a, c
Q3. Consider the following statements: Statement 1: In Geospatial Cloud, it is needed to integrate data from heterogeneous back-end data services. Statement 2: Data services can be inside and/or outside of the cloud environment in Geospatial Cloud. a. Statement 1 is Correct, but Statement 2 is Incorrect. b. Statement 2 is Correct, but Statement 1 is Incorrect. c. Both statements are Correct. d. Both statements are Incorrect
Answer: c. Both statements are Correct.
Q4. Which of the following statements is false about Code offloading using cloudlet? (Choose the most appropriate option) Statement 1: The architecture reduces latency by using multi-hop network. Statement 2: It potentially lowers battery consumption by using short range radio. a. Statement 1 is correct but Statement 2 is incorrect b. Statement 2 is correct but Statement 1 is incorrect c. Both the statements are correct d. Both the statements are incorrect.
Answer: b. Statement 2 is correct but Statement 1 is incorrect
Q5. Which of the following is/are a feature(s) of Mobile Cloud Computing? a) Uses lesser mobile device resources because applications are cloud-supported b) Reduces reliability with information backed up and stored in the cloud c) Mobile devices connect to services delivered through an API architecture d) Facilitates slower development, delivery and management of mobile apps
Q6. Which of the following statement(s) is/are FALSE about Fog Computing? a) Fog nodes present near to the end-user b) Fog computing enables real-time applications c) Fog nodes’ response time is much higher than Cloud’s d) Network routers, WiFi Gateways will not be capable of running applications
Answer: c, d
Q7. Which of the following options is correct about geographic information? Statement 1: Geographic information could be static or dynamic. Statement 2: Geographic information varies in scale. Statement 3 : Population of a city/town is a static geographic information a. Statement 1 & 2 are True, but Statement 3 is False. b. Statement 2 & 3 are True, but Statement 1 is False. c. Statement 1 & 3 are True, but Statement 2 is False. d. All the statements are True.
Answer: a. Statement 1 & 2 are True, but Statement 3 is False.
Q8. Benefits of Fog Computing is/are: a. Immobility b. Low latency and location-aware. c. Homogeneity d. Widespread geographical distribution.
Answer: b, d
Q9. Distance between the client and server in Cloud Computing is of _________ and Fog computing is _______. a) One Hop, Multiple Hop b) One Hop, One Hop c) Multiple Hop, One Hop d) Multiple Hop, Multiple Hop
Answer: c) Multiple Hop, One Hop
Q10. Match the following tables related to Mobile Cloud Computing key components: Table-I Table – II 1. Profiler į. Collects results of split execution and combine, and make the execution details transparent to the user 2. Solver ii. Monitors application execution to collect data about execution time, power consumption, network traffic 3. Synchronizer iii. The task of selecting which parts of an app runs on mobile and cloud a. 1.-> (ii), 2.-> (iii), 3.-> (1) b. 1.-> (iii), 2.-> (1), 3.-> (ii) c. 1.-> (i), 2.-> (ii), 3.-> (iii) d. 1.-> (ii), 2.-> (1), 3.-> (iii)
Answer: a. 1.-> (ii), 2.-> (iii), 3.-> (1)
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Session: JAN-APR 2023
Q1. Fog Computing is applicable in a) Smart Grid b) Smart Traffic Light c) Connected Vehicles d) None of the above
Answer: a, b, c
Q2. Fog Computing has ________ probability to attack on data enrouter and required _______ number of server nodes than Cloud Computing. a) lower, less b) lower, large c) higher, less d) higher, large
Answer: b) lower, large
Q3. Consider the following statements: Statement 1: In Geospatial Cloud, it is needed to integrate data from heterogeneous back-end data service. Statement 2: Data services be inside and/or outside of the cloud environment in Geospatial Cloud. a. Statement 1 is Correct, but Statement 2 is Incorrect. b. Statement 2 is Correct, but Statement 1 is Incorrect. c. Both statements are Correct. d. Both statements are Incorrect
Q4. Which of the following is/are the challenge(s) of the Geospatial Cloud? a) Scaling of Spatial Databases b) Policy management among the tenants c) Implementation of Spatial Databases d) None of the above
Q5. Which of the following is/are feature(s) of Mobile Cloud Computing? a) Uses less mobile device resources because applications are cloud-supported b) Reduces reliability with information backed up and stored in the cloud c) Mobile devices connect to services delivered through an API architecture d) Facilitates slower development, delivery and management of mobile apps
Q6. Which of the following statement(s) is/are FALSE about Fog Computing? a) Fog nodes present near to the end-user b) Fog computing enables real-time applications c) Fog nodes’ response time is much higher than Cloud’s d) Network routers, WiFi Gateways will not be capable of running applications
Q7. Choose the most appropriate option regarding CLOUDLET code offloading. Statement 1: The architecture reduces latency by using a multi-hop network. Statement 2: It potentially lowers battery consumption by using Wi-Fi or short range radio. a. Statement | is correct but Statement 2 is incorrect b. Statement 2 is correct but Statement 1 is incorrect c. Both the statements are correct d. Both the statements are incorrect.
Q9. Distance between the client and server in Cloud Computing is of ______ and Fog computing is ______. a) One Hop, Multiple Hop b) One Hop, One Hop c) Multiple Hop, One Hop d) Multiple Hop, Multiple Hop
Q10. Match the following tables related to Mobile Cloud Computing key components:
a. 1. -> (i), 2. -> (iii), 3. -> (i) b. 1. -> (iii), 2. -> (i), 3. -> (ii) c. 1. -> (i), 2. -> (ii), 3. -> (iii) d. 1. -> (ii), 2. -> (i), 3. -> (iii)
Answer: a. 1. -> (i), 2. -> (iii), 3. -> (i)
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Session: JULY-DEC 2022
Course name: Cloud Computing NPTEL
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Q1. Which of the following options is corect about geographie information? Statement 1: Geographic information could be static or dynamic. Statement 2: Geographic information varies in scale Statement 3: Population ofa city/town is a static geographic information a. Statement 1 & 2 are True, but Statement 3 is False. b. Statement 2 & 3 are True, but Statement 1 is False. c. Statement 1& 3 are True, but Statement 2 is False. d. All the statements are True.
Q2. Which of the following is true about geographical information system? Choose the most appropriate option. a) Variable load of the GIS server needs dynamie scaling of resources. b) GIS uses network intensive web services c) GIS requires a high level of reliability. d) All of these.
Q3. Which of the following is/are not a benefit of Fog computing ? a. Location awareness b. Improved Qos c. High latency d. Man-in-the-middle-attack
Q4. Which of the following statements is false about Code otfloading using cloudlet? Statement 1: The architecture reduces latency by using multi-hop network. Statement 2: It potentially lowers battery consumption by using short range radio. a. Statement 1 is correct but Statement 2 is incorrect b. Statement 2 is correet but Statement 1 is incorrect c. Both the statements are correct d. Both the statements are incorrect.
Q5. Which of the following are some of the key components of Mobile cloud computing ? Choose the most appropriate option. a. Solver b. Synchromizer c. Profiler d. All of the above
Q6. Which of the following statement(s) is/are FALSE about Fog Computing? a. Intelligence is brought to the cloud from the end users. b. Fog computing is used for real-time applications c. Fog nodes’ response time is much higher than cloud server d. Network routers, WiFi Gateways will not be capable of running applications
Answer:- a, c, d
Q7. Fog computing enablers are a. Virtualization b. Big data c. Service oriented architecture d. None of these
Q8. Which of the following is/are feature(s) of Mobile Cloud Computing? a. Use less mobile device resources because applications are cloud-supported b. Reduce reliability with information backed up and stored in the cloud c. Mobile devices connect to services delivered through an API architecture d. Facilitates slower development, delivery and management of mobile apps
Q9. Which of the following is/are the challenge(s) of Geospatial Cloud? a) Scaling of Spatial Databases b) Policy management among the tenants c) Implementation of Spatial Databases d) None of the above
Q10. Consider following statements: Statement 1: Geospatial Cloud helps to integrate data from heterogeneous back-end data service. Statement 2: Data services can be inside and/or outside of the cloud environment in Geospatial Cloud. a. Statement 1 is Correct, but Statement 2 is Incorect. b. Statement 2 is Correct, but Statement 1 is Incorect. c. Both statements are Correct. d. Both statements are Incorrect.
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Each course has its own folder named accordingly, such as cloud-computing or computer-architecture. Locate the Weekly Assignment Files: Inside the course folder, you will find files named week-01.md, week-02.md, and so on up to week-12.md. These files contain the assignment answers for each respective week. Select the Week File:
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