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A midnight question before your exam? Our 24/7 service team answers. New exam version? Your 2026 updates are free for 365 days. Want proof first? The demo is free. Actual4dump wraps CT-GenAI questions for the ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 in service that doesn't sleep.

ISQI CT-GenAI Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Fundamentals of Generative AI20%- AI Development Lifecycle
  • 1. Deployment and monitoring
  • 2. Evaluation
  • 3. Model training and fine-tuning
  • 4. Data collection, preparation, and curation
- Generative AI Concepts
  • 1. Hallucinations
  • 2. Model types (Base, Instruction-tuned, RAG)
  • 3. AI model behavior
  • 4. Alignment and guardrails
  • 5. Training data and context windows
  • 6. Emergent capabilities and limitations
- AI Terminology
  • 1. Deep Learning
  • 2. Large Language Models (LLMs)
  • 3. Artificial Intelligence (AI)
  • 4. Tokens and prompts
  • 5. Machine Learning (ML)
  • 6. Generative AI (GenAI)
  • 7. Transformer architecture
Topic 2: Tools for Testing Generative AI20%- Using Tools for Common Testing Activities
  • 1. Simulation and monitoring tools
  • 2. Security testing tools
  • 3. Model evaluation tools
  • 4. Prompt testing tools
- Testing Tools Overview
  • 1. Categories of GenAI testing tools
  • 2. Selecting appropriate tools for specific testing needs
Topic 3: Testing Activities for Generative AI30%- Traceability and Documentation
  • 1. Documentation requirements for AI testing
  • 2. Test coverage of AI model components
- Model and Output Evaluation
  • 1. Metamorphic testing
  • 2. Human evaluation methods
  • 3. Checkpoint testing
  • 4. Output correctness and quality assessment
  • 5. Automated evaluation methods
- Prompt-Based Testing
  • 1. Prompt engineering basics
  • 2. Test case design using prompts
  • 3. Test data creation with GenAI
- Requirements-Based Testing
  • 1. Non-functional requirements for AI-based systems
  • 2. AI-related quality requirements
  • 3. Functional requirements for AI-based systems
Topic 4: Risks and Testing Challenges for Generative AI30%- Testing Challenges for Generative AI
  • 1. Regulatory and compliance considerations
  • 2. Test oracle problem
  • 3. Ethical testing concerns
  • 4. Complexity of the AI component
  • 5. Non-deterministic output behavior
  • 6. Coverage challenges
  • 7. Subjectivity of quality assessment
- Quality Risks Specific to Generative AI
  • 1. Input sensitivity (prompt brittleness)
  • 2. Incorrect or fabricated outputs (hallucinations)
  • 3. Offensive, harmful, or biased content
  • 4. Inappropriate output for the context
  • 5. Inconsistent responses across runs
  • 6. Dependency on external components

ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 FAQ: Clear Answers for Serious Candidates

The CT-GenAI exam is ISQI's official route to the AI Testing certification (Foundation level). For IT professionals building a career, it signals verified skill — the kind of advantage that tips better opportunities your way. It also sits in a family of related credentials: ISTQB CTFL (Foundation Level Tester).

Delivery is instant — files unlock at payment and a copy lands in your email within a minute; our 24/7 online service team responds within 2 hours if anything goes missing, and there are no installation limits. On refunds, our guarantee is real but conditional: take the corresponding CT-GenAI exam within 60 days of purchase, and if you fail, send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam — we process the full refund within 7 days. Exams taken within 3 days of purchase, name mismatches between candidate and payer, and free or expired products are excluded. Rather have a replacement? Exchange for two equal-value exam products free and keep your original updates.

ISTQB CTFL (Foundation Level Tester) certification is recommended but not required Requirements like these do get updated, so confirm the details on the official exam page — official CT-GenAI exam information — before you spend anything on registration.

Registration runs 250 EUR (+ VAT), and the pass mark is 65%. Paying by credit card is the standard route — safe and stable for both buyer and seller. And remember the fee is per attempt: a retake costs the same again, which is why candidates drill with the 42 practice questions from Actual4dump until their margin is comfortable.

The exam sets 40 questions against 60 minutes on the clock. That pairing punishes hesitation, so train it out: set a per-question budget, flag-and-return instead of freezing, and rehearse full timed sessions in the Actual4dump engine until pacing is automatic.

Yes — a free PDF demo lets you examine the question quality first. If you buy, 365 days of free updates are included, with new versions sent to you as they're released; an expired update period can be renewed later at 50% off.

Expect 4 domains in the ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 blueprint, headlined by Risks and Testing Challenges for Generative AI (30%), Testing Activities for Generative AI (30%), Fundamentals of Generative AI (20%). Use the weights as your study budget — high-percentage domains earn the most points per hour. The complete outline above has the full breakdown.

ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:

Which factor MOST influences the overall energy consumption of a Generative AI model used in software testing tasks?

  • A. The type of cloud platform affects processing speed but not total energy draw
  • B. The duration of user sessions primarily affects latency but not power efficiency
  • C. The number of tokens processed directly determines the carbon intensity of each query
  • D. The location of the data center determines model bias and accuracy levels
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).

What distinguishes an LLM-powered agent from a basic AI chatbot in test processes?

  • A. Reliance on predefined templates to generate short, factual answers
  • B. Ability to respond to prompts without explicit user instructions
  • C. Use of a conversational tone and improved response personalization
  • D. Ability to trigger automated actions beyond conversation
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).

Which concept refers to breaking text into smaller units for processing by LLMs?

  • A. Tokenization
  • B. Context Window
  • C. Embeddings
  • D. Transformer
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).

A team notices vague, inconsistent LLM outputs for the same story for two different prompts. Which technique BEST helps choose the stronger wording among two prompt versions using predefined metrics?

  • A. A/B testing of prompts
  • B. Iterative prompt modification
  • C. Output analysis
  • D. Integrating user feedback
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).

Which of the following is NOT a valid form of LLM-driven test data generation?

  • A. Generating synthetic datasets
  • B. Creating combinatorial data (e.g., pairwise)
  • C. Creating production database backups
  • D. Setting boundary values
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).

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