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Fundamentals of Cloud IoT Edge ML Answers

Fundamentals of Cloud IoT Edge ML Week 1 Answers

NPTEL Fundamentals of Cloud IoT Edge ML Week 1 Topics
Fundamentals of Cloud IoT Edge ML Week 1 Answers

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NPTEL Fundamentals of Cloud IoT Edge ML Week 1 Topics

Fundamentals of Cloud IoT Edge ML Week 1 includes the following topics:

  • Introduction to edge computing
  • Edge computing building block and architecture
  • Edge computing for IoT 
  • Advantages of edge computing
  • Understanding of today’s cloud scenario
  • Objectives of cloud computing
  • Limitations of traditional cloud
  • The need of edge computing

Fundamentals of Cloud IoT Edge ML Week 1 Answers

Q1. Which one is not true for current state of today’s cloud?

High availability of resources

Provide access to VMs

Network stack in non-programmable

Highly Centralized

Answer: Network stack in non-programmable

Q2. Because of data privacy concern customers are not willing to send their data to cloud.

True

False

Answer: True

Q3. In industrial IoT scenarios which are of the following are most important

Round Trip Time

Latency

Both of them

None of them

Answer: Both of them

Q4. Following are the important issues of current cloud scenario

Low latency issue

Bandwidth issue for real-time applications

Connectivity issue

All of the above

Answer: All of the above

Q5. For compute on edge, there is a shift from VMs to containers.

True

False

Answer: True

Q6. Edge Computing has the capabilities to mimic the cloud.

True

False

Answer: True

Q7. Which of the following is/are provided by IoT pass?

Device management

Stream analytics

Server less functions

All of the above

Answer: All of the above

Q8. Which of the following is/are the important building blocks of Edge computing?

Data ingestion

M2M broker

Object storage

All of the above

Answer: All of the above

Q9. ____________ data is a quantitative data in the form of number and values. ________ data is qualitative data in the form of text files, audio files, video files.

Structured, Unstructured

Unstructured, Structured

Answer: Structured, Unstructured

Q10. In edge computing architecture, which layer takes care the responsibility that the training takes place on the cloud and the inferencing is run on the edge?

Data source layer

Intelligent layer

Actionable insight layer

None of the above

Answer: Intelligent Layer

Disclaimer: Chandras EDU does not guarantee the correctness of the answers. These answers are based on the data provided by the NPTEL video lectures, are just for reference, and request students to complete the assignments independently.

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