Edge Computing Week 1 NPTEL Assignment Answers 2025

NPTEL Edge Computing Week 1 Assignment Answers 2024

1. The role of a Kafka end-point is:

a. Data storage
b. Data ingestion
c. Data broking
d. Data encryption

Answer: c. Data broking
Explanation: Kafka acts as a broker in a data pipeline, managing the flow of data between producers and consumers in a distributed, publish-subscribe model.

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2. Stream processing enables performing real-time queries on incoming data. The statement is:

a. True
b. False

Answer: a. True
Explanation: Stream processing allows immediate analysis of data as it arrives, supporting real-time decision making without storing it first.

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3. Match the following tiers (in a three-tier edge architecture) to the respective functionality:

Tiers:

1. Data Sources
2. Intelligence
3. Actionable Insights

Functionality:
X. Machine Learning Models and Algorithms
Y. Dashboards and Visualizations, Human-Machine Interaction
Z. Sensors, Databases and Event-Sources

Options:
a. 1-X, 2-Y, 3-Z
b. 1-Z, 2-X, 3-Y
c. 1-Y, 2-Z, 3-X
d. 1-Z, 2-Y, 3-X

Answer: b. 1-Z, 2-X, 3-Y
Explanation:

• Data Sources include sensors and event sources → Z
• Intelligence is where ML models operate → X
• Actionable Insights involve user-facing interfaces → Y

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4. Which of the following is not a component of a Thin Edge?

a. Networking Equipment
b. Controllers
c. Computers / Servers
d. On-Premise Edge Data Centers

Answer: a. Networking Equipment
Explanation: Thin edge typically includes processing components like controllers and computers but not general networking equipment.

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5. Which edge-computing paradigm is used at the edge of cellular networks?

a. Micro Data Centers
b. Multi-Access Edge Computing (MEC)
c. Fog Computing
d. Cloud Computing

Answer: b. Multi-Access Edge Computing
Explanation: MEC places computing resources at the cellular network edge, closer to mobile users, to reduce latency.

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6. Match the components of an Edge-Controller/Orchestrator to their functionality:

Components:

1. Application Manager
2. Infrastructure Manager
3. Planner

Functionality:
X. Manages requirements of application tasks
Y. Manages physical and virtual resources
Z. Manages scheduling policy for tasks

Options:
a. 1-X, 2-Y, 3-Z
b. 1-X, 2-Z, 3-Y
c. 1-Z, 2-Y, 3-X
d. 1-Z, 2-X, 3-Y

Answer: a. 1-X, 2-Y, 3-Z
Explanation:

• Application Manager handles app-specific needs → X
• Infrastructure Manager manages resources → Y
• Planner handles scheduling policies → Z

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7. Compared to cloud, edge provides:

a. Lower latency
b. Higher latency
c. Less resources
d. More resources

Answer: a, c
Explanation:

• Edge has lower latency due to proximity to data sources.
• But edge has less compute/storage resources than centralized cloud.

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8. In the context of edge-cloud synergy, “backbone network alleviation” refers to:

a. Distributed edge nodes handle computation without sending data to cloud
b. Edge services reduce transmission delay
c. Cloud provides processing when edge fails
d. None of these

Answer: a.
Explanation: This reduces the load on core networks by performing computations locally at edge nodes instead of transmitting all data to the cloud.

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9. Match on-demand access services (*aaS) with their functionality:

Services:

1. SaaS
2. PaaS
3. IaaS

Functionality:
X. Execution Runtime, Databases, Dev Tools
Y. CRM, E-Mail, Gaming
Z. Virtual Machines, Load Balancing

Options:
a. 1-X, 2-Z, 3-Y
b. 1-X, 2-Y, 3-Z
c. 1-Y, 2-X, 3-Z
d. 1-Y, 2-Z, 3-X

Answer: c. 1-Y, 2-X, 3-Z
Explanation:

• SaaS = User applications (e.g., CRM) → Y
• PaaS = Developer platforms/tools → X
• IaaS = Infrastructure-level services → Z

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10. Data sovereignty refers to:

a. Reducing latency in data access
b. Moving services closer to origin
c. Local cloud services
d. Keeping data where it actually belongs

Answer: d.
Explanation: Data sovereignty is the concept that data is subject to the laws and governance structures within the nation it is collected.