What is a specific risk introduced by using generative AI in test processes?

AI eliminates the need for test data

AI will always produce correct test cases

AI may generate test cases that are biased or incomplete

AI reduces the need for human testers

An organization's AI governance board requires that all AI-generated test artifacts be traceable to their source requirements and that any AI involvement be disclosed in test reports. The test team wants to comply. What is the most effective process change?

Store all AI-generated test cases in a separate folder and mention in the report that some tests were AI-generated.

Have testers manually document the source of each AI-generated test case in a spreadsheet.

Ask the AI tool to generate a summary of its own outputs for the governance board.

Add metadata tags to AI-generated test cases linking them to source requirements and include an AI-usage note in the test report.

What is a key aspect of aligning test processes with AI governance?

Avoiding any human oversight of AI processes

Keeping AI usage a secret from stakeholders

Ensuring that AI-generated test data complies with privacy regulations

Using AI without any documentation of its decisions

How can the risk of AI-generated test cases being incorrect be mitigated?

By using the AI-generated test cases without any review to save time

By relying solely on AI to fix any errors in the test cases

By disabling all AI features in the test process

By having human testers review and validate AI-generated test cases

A test lead is planning a sprint where generative AI will be used to create exploratory test charters from feature descriptions. The team has a mix of experienced and junior testers. The test lead wants to ensure the AI-generated charters are effectively used. What should the test plan include?

A plan to have only junior testers use the AI-generated charters while experienced testers work without them.

A requirement that all testers use the AI-generated charters exactly as provided.

A review session where testers evaluate and refine AI-generated charters before exploratory sessions.

A decision to skip exploratory testing this sprint to focus on AI-generated charters.

Certified Tester Testing with Generative AI

Domain 5Objective 7

Evolving Test Processes in AI-Enabled Test Organizations CT-GENAI Practice Questions (Page 3)

Part of the Deploying and Integrating Generative AI in Test organizations domain, which makes up ~23% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~6–9 in this domain), expect 1–1 from this objective — we provide 34 practice questions to prepare you well beyond it. (estimate)

34questions here

7free pages

8concepts

Questions 11–15

11foundation · easy
What is a specific risk introduced by using generative AI in test processes?
Select an answer first
12application · medium
An organization's AI governance board requires that all AI-generated test artifacts be traceable to their source requirements and that any AI involvement be disclosed in test reports. The test team wants to comply. What is the most effective process change?
Select an answer first
13foundation · easy
What is a key aspect of aligning test processes with AI governance?
Select an answer first
14foundation · easy
How can the risk of AI-generated test cases being incorrect be mitigated?
Select an answer first
15application · medium
A test lead is planning a sprint where generative AI will be used to create exploratory test charters from feature descriptions. The team has a mix of experienced and junior testers. The test lead wants to ensure the AI-generated charters are effectively used. What should the test plan include?
Select an answer first

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