When selecting an AI framework, why is community support an important consideration?

It automatically makes the framework faster than others

It ensures the framework is free of cost

It provides access to documentation, tutorials, and help from other developers

It guarantees the framework will have no bugs

What is the primary advantage of using a GPU over a CPU for training deep learning models?

GPUs have higher clock speeds than CPUs

GPUs consume less power than CPUs

GPUs can perform many parallel computations simultaneously, which speeds up matrix operations

A retail company wants to automatically categorize customer reviews as positive, negative, or neutral. The reviews are free-form text and the company wants to deploy the model on a mobile app for offline use. Which AI technology and deployment consideration is most relevant?

Natural language processing with a small model optimized for edge devices

Expert system with a large knowledge base hosted in the cloud

Machine learning with a large transformer model on a cloud server

Computer vision with a convolutional neural network

Certified Tester AI Testing

Domain 1Objective 2

AI Technologies and Frameworks CT-AI Practice Questions (Page 5)

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 21–25

21foundation · easy
When selecting an AI framework, why is community support an important consideration?
Select an answer first
22foundation · easy
What is the primary advantage of using a GPU over a CPU for training deep learning models?
Select an answer first
23application · medium
A retail company wants to automatically categorize customer reviews as positive, negative, or neutral. The reviews are free-form text and the company wants to deploy the model on a mobile app for offline use. Which AI technology and deployment consideration is most relevant?
Select an answer first
24expert · hard
A company is selecting a framework for a new AI project. They have a team that is experienced in Python but not in C++. They need to deploy the model in a production environment with low latency. Which framework should they choose?
Select an answer first
25foundation · easy
Which AI development framework is specifically designed for traditional machine learning algorithms such as regression and clustering?
Select an answer first

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AI Technologies and Frameworks CT-AI Practice Questions (Page 5)

Questions 21–25

When selecting an AI framework, why is community support an important consideration?

What is the primary advantage of using a GPU over a CPU for training deep learning models?

A retail company wants to automatically categorize customer reviews as positive, negative, or neutral. The reviews are free-form text and the company wants to deploy the model on a mobile app for offline use. Which AI technology and deployment consideration is most relevant?

A company is selecting a framework for a new AI project. They have a team that is experienced in Python but not in C++. They need to deploy the model in a production environment with low latency. Which framework should they choose?

Which AI development framework is specifically designed for traditional machine learning algorithms such as regression and clustering?

Keep studying — Domain 1: Introduction to AI