Purchase ISQI : CT-GenAI Exam Materials and then pass exam easily
Updated: Aug 18, 2026
No. of Questions: 42 Questions & Answers with Testing Engine
Download Limit: Unlimited
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ISQI CT-GenAI Exam Overview:
| Certification Vendor: | ISQI / ASTQB |
| Exam Name: | ISTQB Certified Tester Testing with Generative AI |
| Exam Number: | CT-GenAI |
| Real Exam Qty: | 40 |
| Certificate Validity Period: | Not publicly specified (typically 3-5 years depending on scheme) |
| Available Languages: | English, German |
| Exam Price: | 250 EUR (+ VAT) |
| Exam Duration: | 60 minutes |
| Exam Format: | Multiple Choice |
| Passing Score: | 65% |
| Related Certifications: | ISTQB CTFL (Foundation Level Tester) |
| Sample Questions: | ISQI CT-GenAI Sample Questions |
| Exam Way: | Online proctored / In-person at authorized test centers |
| Pre Condition: | ISTQB CTFL (Foundation Level Tester) certification is recommended but not required |
| Official Syllabus URL: | https://www.astqb.org/ct-genai/ |
ISQI CT-GenAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Fundamentals of Generative AI | 20% | - AI Development Lifecycle
|
| Topic 2: Testing Activities for Generative AI | 30% | - Requirements-Based Testing
|
| Topic 3: Risks and Testing Challenges for Generative AI | 30% | - Quality Risks Specific to Generative AI
|
| Topic 4: Tools for Testing Generative AI | 20% | - Testing Tools Overview
|
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
1. Which competency MOST helps testers steer LLMs to produce useful, on-policy testware?
A) Writing low-level device drivers
B) Designing custom CPU instructions
C) Configuring network routers
D) Mastering prompt engineering
2. Which AI approach requires feature engineering and structured data preparation?
A) Classical Machine Learning
B) Generative AI
C) Deep Learning
D) Symbolic AI
3. Your team needs to generate 500 API test cases for a REST API with 50 endpoints. You have documented 10 exemplar test cases that follow your organization's standard format. You want the LLM to generate test cases following the pattern demonstrated in your examples. Which of the following prompting techniques is BEST suited to achieve your goal in this scenario?
A) Prompt chaining
B) Few-shot prompting
C) Zero-shot prompting
D) Meta prompting
4. Which statement about fine-tuning for test tasks is INCORRECT?
A) It enhances relevance to organizational terminology and formats
B) It adapts a pre-trained model to a domain using task-specific data
C) It replaces the model's general knowledge entirely and prevents overfitting
D) It can be applied to smaller SLMs to improve task performance with lower compute
5. Which statement BEST describes vision-language models (VLMs)?
A) VLMs are a superset of multimodal LLMs.
B) VLMs are a subset of multimodal LLMs integrating visual and textual information.
C) VLMs are unrelated to multimodal LLMs and focus only on UI automation.
D) VLMs process audio and video but not images.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: B |
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