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CT-GenAI Dumps - ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Practice Exam Questions

iSQI CT-GenAI - ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Braindumps

iSQI CT-GenAI - AI Testing Practice Exam

  • Certification Provider:iSQI
  • Exam Code:CT-GenAI
  • Exam Name:ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0
  • Certification Name:AI Testing
  • Total Questions:40 Questions and Answers With Detailed Explanations
  • Updated on:Based on the current CT-GenAI exam blueprint. Updated on Feb 16, 2026
  • Product Format: PDF (Portable) & Test Engine (Interactive) .
  • Support: 24/7 Live Chat & Email Support
  • Valid For: Worldwide - Valid In All Countries
  • Discount: Available for Bulk Purchases and Extra Licenses
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  • Delivery: PDF/Test Engine are Instantly Available for Download
  • Guarantee: 100% Exam Passing Assurance with Money back Guarantee.
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iSQI CT-GenAI This Week Results

CT-GenAI Question and Answers

Question # 1

You must generate test cases for a new payments rule. The system includes API specifications stored in a vector database and prior tests in a relational database. Which of the following sequences BEST represents the correct order for applying a Retrieval-Augmented Generation (RAG) workflow?

i. Retrieve semantically similar specification chunks from the vector database

ii. Feed both retrieved datasets as context for the LLM to generate new test cases

iii. Retrieve relevant historical cases from the relational database

iv. Submit a focused query describing the new test requirement

Options:

A.  

iv —> iii —> i —> ii

B.  

iv —> i —> iii —> ii

C.  

iii —> iv —> i —> ii

D.  

i —> iv —> iii —> ii

Discussion 0
Question # 2

Who typically defines the system prompt in a testing workflow?

Options:

A.  

A tester configuring the assistant

B.  

End user during normal chat use

C.  

CI server automatically without human input

D.  

Product owner in user stories only

Discussion 0
Question # 3

Which option BEST differentiates the three prompting techniques?

Options:

A.  

Few-shot = no examples; Chaining = single prompt; Meta = disable iteration

B.  

Meta = step decomposition; Chaining = zero-shot only; Few-shot = manual optimization

C.  

Chaining = give examples; Few-shot = break tasks; Meta = manual edits only

D.  

Few-shot = examples; Chaining = multi-step prompts; Meta = model helps draft/refine prompts

Discussion 0

PDF vs Software Version

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CT-GenAI FAQs

Prompt engineering, a core skill for directing GenAI in testing tasks. Highlighted in Exams4sure practice modules.

It systematically influences the model's output to make it testable and relevant, a skill honed with Exams4sure.

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