CT-AI Real Exam Questions
ISTQB Certified Tester - AI Testing. Everything you need to prepare, practice, and pass.
159
Questions
12
Exam Domains
Included
Explanations
Ready to practice?
159+ questions with detailed explanations
Start NowFrom $49.99 USD · refund policy applies
Browse all 159 CT-AI questions
Certification Overview
What This Certification Proves
The CT-AI ISTQB Certified Tester - AI Testing certification validates your expertise in ISTQB technologies. This industry-recognized credential demonstrates your ability to work with ISTQB solutions and is valued by employers worldwide.
Who Should Take This Exam
This certification is ideal for IT professionals, system administrators, cloud engineers, security analysts, and developers who work with ISTQB technologies. Whether you're starting your career or advancing to senior roles, the CT-AI certification strengthens your professional profile.
Topic Breakdown
12 domains covering 159 questions
| Domain | Questions | Weight |
|---|---|---|
| Machine Learning (Ml) | 46 | 29% |
| Testing Of Ai-Based Systems | 30 | 19% |
| Specific Approaches To Testing Ai-Based Systems | 26 | 16% |
| Quality Characteristics For Ai-Based Systems | 12 | 8% |
| Test Strategies For Ai-Based Systems | 11 | 7% |
| Introduction To Ai And Ai Testing | 10 | 6% |
| Ethics And Bias In Ai Testing | 9 | 6% |
| Testing, Debugging, And Deployment | 8 | 5% |
| Advanced Developer Fundamentals | 2 | 1% |
| Data Modeling And Management | 2 | 1% |
| Performance | 2 | 1% |
| Process Automation, Logic, And Integration | 1 | 1% |
Study Plans
Choose a study plan that matches your schedule and experience level
30 Days
Intensive Sprint
Week 1-2
- Master fundamentals: Machine Learning (Ml)
- Read ISTQB official documentation
- Complete 6 questions daily
Week 3
- Deep dive: Testing Of Ai-Based Systems
- Review weak areas from results
- Take 2 full-length exams
Week 4
- Review all flagged questions
- Timed exams to build stamina
- Final revision of key concepts
60 Days
Balanced Approach
Week 1-2
- Survey all exam domains
- Set up study environment
- Begin with foundational topics
Week 3-4
- Focus: Machine Learning (Ml)
- Focus: Testing Of Ai-Based Systems
- 3 questions daily
Week 5-6
- Focus: Specific Approaches To Testing Ai-Based Systems
- Hands-on labs if applicable
- Review explanations for wrong answers
Week 7-8
- Complete all 159 questions
- Identify and eliminate weak areas
- Take 3 full-length timed tests
90 Days
Comprehensive Study
Month 1
- Learn all exam domains at a comfortable pace
- Build strong foundational knowledge
- 2 questions daily
Month 2
- Deep dive into each domain
- Hands-on practice and labs
- Take weekly timed exams
Month 3
- Work through all 159 questions
- Identify and eliminate weak areas
- Take 3 full-length timed exams
CT-AI-Specific Tips
- Focus on "Machine Learning (Ml)" first - it covers 29% of the exam
- Use all 159 questions to identify knowledge gaps
- Review detailed explanations for every wrong answer
- Study "Testing Of Ai-Based Systems" as your second priority
- Take at least 2-3 full-length exams before scheduling your exam
Sample Questions
Try 5 free questions from the CT-AI question bank
Which of the below TWO examples of AI system behavior are reward hacking:
The stakeholders of a machine learning model have confirmed that they understand the objective and purpose of the model, and ensured that the proposed model aligns with their business priorities. They have also selected a framework and a machine learning model that they will be using. What should be the next step to progress along the machine learning workflow?
When verifying that an autonomous AI-based system is acting appropriately, which of the following are MOST important to include?
A company is using a spam filter to attempt to identify which emails should be marked as spam. Detection rules are created by the filter that causes a message to be classified as spam. An attacker wishes to have all messages internal to the company be classified as spam. So, the attacker sends messages with obvious red flags in the body of the email and modifies the from portion of the email to make it appear that the emails have been sent by company members. The testers plan to use exploratory data analysis (EDA) to detect the attack and use this information to prevent future adversarial attacks. How could EDA be used to detect this attack?
Which ONE of the following options is a technology used to implement AI?
Related Certifications
Other ISTQB certifications you might be interested in
CT-AI FAQ
Ready to pass CT-AI?
Join thousands of professionals who passed their certification exam with NerdExam.
Get CT-AI Exam Questions