ISTQB CT-GenAI Certification Exam Sample Questions

CT-GenAI Dumps PDF, Testing with Generative AI Dumps, download CT - Testing with Generative AI free Dumps, ISTQB Testing with Generative AI exam questions, free online CT - Testing with Generative AI exam questionsYou have to pass the CT-GenAI exam to receive the certification from ISTQB. To increase the effectiveness of your study and make you familiar with the actual exam pattern, we have prepared this ISTQB Testing with Generative AI sample questions. Our Sample ISTQB Certified Tester - Testing with Generative AI Practice Exam will give you more insight about both the type and the difficulty level of the questions on the ISTQB CT - Testing with Generative AI exam.

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ISTQB Testing with Generative AI Sample Questions:

01. A test organization is well advanced with GenAI for test report analysis, while its test automation work is only just beginning.
What does this indicate?
Select ONE option.
a) The adoption roadmap has failed and should be redefined from the beginning
b) The organization has moved too quickly in one area, at the expense of another
c) The organization has skipped a phase and should return to the earlier one first
d) The phases are running in parallel for different use cases, which is expected
 
02. An organization chooses to use a commercial AI chatbot rather than building its own tool.
Which LLMOps consideration is MOST prominent in that approach?
Select ONE option.
a) Evaluating the assurances the test tool's provider offers, and then monitoring them over time
b) The computational resources and data storage the organization must provision itself
c) Managing data privacy and security risk while keeping the cost of use optimized
d) Establishing processes for validating and maintaining the team's own developments
 
03. Which activity is part of maintaining an LLM in production rather than developing or deploying it?
Select ONE option.
a) Assembling the targeted dataset the model will be adapted with
b) Making the model available to the test tooling or the pipeline for the very first time
c) Selecting the model the organization will use for its test tasks
d) Watching for degradation or unexpected behavior once the model is serving requests
 
04. Which challenge does the syllabus associate with fine-tuning a model for software testing?
Select ONE option.
a) Version drift, where the adapted model stops matching the provider's current release
b) Context loss, where the adapted model can no longer accept long documents
c) Overfitting, where the model becomes too specialized to generalize to new scenarios
d) Latency, where the adapted model takes noticeably longer to return each response
 
05. Which combination does the syllabus describe as necessary for a tester working with generative AI?
Select ONE option.
a) Domain and test expertise combined with the AI skills to guide and check the output
b) Infrastructure skill, and the ability to deploy models and then operate them in production
c) Programming skill, plus knowledge of architectures and training
d) Statistical skill combined with the ability to interpret benchmark results
 
06. Which practice helps build generative AI capability across a test team over time?
Select ONE option.
a) Measuring each tester's usage, so adoption can be ranked and compared
b) Maintaining pattern libraries and documenting the lessons learned across projects
c) Waiting until formal training is available before anyone experiments with the tools
d) Assigning all AI-assisted work to the testers who are already most confident with it
 
07. Which TWO are named criteria for selecting an LLM or SLM for software test tasks?
Select TWO options.
a) Recurring cost, including licensing fees and operational expenses
b) Whether the model was trained on publicly available data only
c) Community and support, including active help and detailed documentation
d) The size of the model's context window measured in tokens
e) The number of organizations already using the model in production
 
08. Why does the syllabus caution that published benchmarks are of limited help when selecting a model for test tasks?
Select ONE option.
a) Because benchmark scores change every time a model is updated by its provider
b) Because benchmark results are published by vendors and are therefore unreliable
c) Because few of them are focused specifically on software testing tasks
d) Because benchmarks measure speed rather than the quality of what is produced
 
09. Why does the syllabus place compliance with AI standards and regulations inside the strategy rather than leaving it to each project?
Select ONE option.
a) Because compliance obligations change far too often for an individual project team to track them
b) Because projects lack the technical knowledge to assess a model's compliance
c) Because approving a model needs authority, budget and legal sign-off
d) Because the obligations apply across every use, so they shape which uses are permitted at all
 
10. Which concern does the syllabus identify as needing attention early in GenAI adoption?
Select ONE option.
a) The cost of licensing, hosting and supporting the model at once
b) Fear of job displacement, which can affect both adoption and team morale
c) The risk that the chosen model will be withdrawn by its provider mid-adoption
d) The possibility that competitors will adopt the same tools more quickly

Answers:

Question: 01
Answer: d
Question: 02
Answer: c
Question: 03
Answer: d
Question: 04
Answer: c
Question: 05
Answer: a
Question: 06
Answer: b
Question: 07
Answer: a, c
Question: 08
Answer: c
Question: 09
Answer: d
Question: 10
Answer: b

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