What is the primary purpose of natural language processing (NLP) in AI systems?

To optimize complex decision-making processes

To enable machines to understand and generate human language

To control robotic movements in real time

To recognize objects and scenes in images

Which type of hardware is specifically designed by Google to accelerate machine learning workloads?

FPGA (Field-Programmable Gate Array)

Which of the following is a typical application of computer vision?

Sentiment analysis of customer reviews

Autonomous vehicle obstacle detection

A company is deploying an AI model for real-time speech recognition on a smart speaker. The device has limited memory and processing power. The model must respond quickly and accurately. Which hardware and model optimization strategy is most appropriate?

Use a large cloud-based model with streaming audio to the cloud

Use an expert system with predefined voice commands

Use a small on-device model with quantization and pruning

Use a full-size model on the device with a high-end GPU

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Domain 1Objective 2

AI Technologies and Frameworks CT-AI Practice Questions (Page 2)

Part of the Domain 1: Introduction to AI domain, which makes up ~7% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~2–3 in this domain), expect 1–1 from this objective — we provide 28 practice questions to prepare you well beyond it. (estimate)

28questions here

6free pages

7concepts

Questions 6–10

6foundation · easy
What is the primary purpose of natural language processing (NLP) in AI systems?
Select an answer first
7foundation · easy
Which type of hardware is specifically designed by Google to accelerate machine learning workloads?
Select an answer first
8foundation · easy
Which of the following is a typical application of computer vision?
Select an answer first
9foundation · easy
Which AI technology is most commonly used to automatically identify objects and faces in photographs?
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10expert · hard
A company is deploying an AI model for real-time speech recognition on a smart speaker. The device has limited memory and processing power. The model must respond quickly and accurately. Which hardware and model optimization strategy is most appropriate?
Select an answer first

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