A smart home device manufacturer wants to allow users to control devices through a mobile app. The devices are behind home routers and do not have public IP addresses. The cloud platform must enable the app to send commands to the devices reliably. Which communication pattern is most appropriate?

The app connects directly to the device's IP address

Use CoAP multicast to reach devices on the local network

Devices maintain a persistent outbound MQTT connection to the cloud, and the app publishes commands to the device's topic

Devices poll the cloud via HTTP every few seconds

A utility company is deploying smart meters that communicate via MQTT. The meters are deployed in the field and cannot be easily updated. The security team requires that each meter have a unique identity and that all communication be encrypted. The company also needs to revoke access for a compromised meter quickly. Which approach best meets these requirements?

Use mutual TLS with per-device certificates and maintain a certificate revocation list (CRL) at the broker

Use a shared pre-shared key for all meters

Use TLS with only server-side authentication

A startup deploys an IoT solution that sends sensor data every second. The cloud bill is higher than expected. The data is used for daily reports, not real-time monitoring. Which cost-optimization strategy would most effectively reduce costs?

Enable auto-scaling on the ingestion service

Reduce the data ingestion frequency and store raw data in low-cost object storage

Use a more expensive premium support plan

Move to a larger instance type to handle all data

A company wants to build a predictive maintenance solution for industrial equipment. They need to collect sensor data, process it in real time to detect anomalies, and run machine learning models on historical data. They prefer a fully managed platform that integrates device connectivity, data ingestion, and analytics. Which approach is most appropriate?

Use a simple web server to receive sensor data and store it in files

Build a custom solution using virtual machines and open-source software

Use a cloud IoT platform such as AWS IoT or Azure IoT with built-in device management and analytics services

Purchase an on-premises server and install a database

What is the primary benefit of performing data processing at the edge instead of sending all raw data to the cloud?

Increases the amount of raw data transmitted to the cloud

Guarantees stronger encryption than cloud processing

Reduced latency for time-sensitive decisions

Eliminates the need for cloud storage

EC-CouncilIoT Security Essentials

Domain 2Objective 3

Cloud Computing and IoT Integration ISE Practice Questions (Page 1)

Part of the IoT Hardware and Platforms domain, which makes up ~18% of our current practice bank. EC-Council does not publish an official question count, but from its 120-minute exam (~50–80 total, ~9–14 in this domain), expect 2–4 from this objective — we provide 52 practice questions to prepare you well beyond it. (estimate)

52questions here

11free pages

10concepts

Questions 1–5

1application · medium
A smart home device manufacturer wants to allow users to control devices through a mobile app. The devices are behind home routers and do not have public IP addresses. The cloud platform must enable the app to send commands to the devices reliably. Which communication pattern is most appropriate?
Select an answer first
2expert · hard
A utility company is deploying smart meters that communicate via MQTT. The meters are deployed in the field and cannot be easily updated. The security team requires that each meter have a unique identity and that all communication be encrypted. The company also needs to revoke access for a compromised meter quickly. Which approach best meets these requirements?
Select an answer first
3application · medium
A startup deploys an IoT solution that sends sensor data every second. The cloud bill is higher than expected. The data is used for daily reports, not real-time monitoring. Which cost-optimization strategy would most effectively reduce costs?
Select an answer first
4application · medium
A company wants to build a predictive maintenance solution for industrial equipment. They need to collect sensor data, process it in real time to detect anomalies, and run machine learning models on historical data. They prefer a fully managed platform that integrates device connectivity, data ingestion, and analytics. Which approach is most appropriate?
Select an answer first
5foundation · easy
What is the primary benefit of performing data processing at the edge instead of sending all raw data to the cloud?
Select an answer first

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Cloud Computing and IoT Integration ISE Practice Questions (Page 1)

Questions 1–5

A smart home device manufacturer wants to allow users to control devices through a mobile app. The devices are behind home routers and do not have public IP addresses. The cloud platform must enable the app to send commands to the devices reliably. Which communication pattern is most appropriate?

A startup deploys an IoT solution that sends sensor data every second. The cloud bill is higher than expected. The data is used for daily reports, not real-time monitoring. Which cost-optimization strategy would most effectively reduce costs?

What is the primary benefit of performing data processing at the edge instead of sending all raw data to the cloud?

Keep studying — IoT Hardware and Platforms