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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| ML Data | - Data Quality
|
| ML Functional Performance Metrics | - Performance Evaluation
|
| Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Using AI for Testing | - AI-Assisted Testing
|
| ML Neural Networks and Testing | - Neural Networks
|
| Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| Machine Learning | - ML Fundamentals
|
| Introduction to AI | - AI Fundamentals
|
| Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Testing AI-Specific Quality Characteristics | - Quality Validation
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Which ONE of the following statements correctly describes the importance of flexibility for Al systems?
SELECT ONE OPTION
- A. Self-learning systems are expected to deal with new situations without explicitly having to program for it.
- B. Al systems require changing of operational environments; therefore, flexibility is required.
- C. Flexible Al systems allow for easier modification of the system as a whole.
- D. Al systems are inherently flexible.
Correct Answer: C 🗳️
Explanation: Only visible for TestInsides members. You can sign-up / login (it's free).
Which ONE of the following models BEST describes a way to model defect prediction by looking at the history of bugs in modules by using code quality metrics of modules of historical versions as input?
SELECT ONE OPTION
- A. Search of similar code based on natural language processing.
- B. Using a classification model to predict the presence of a defect by using code quality metrics as the input data.
- C. Identifying the relationship between developers and the modules developed by them.
- D. Clustering of similar code modules to predict based on similarity.
Correct Answer: B 🗳️
Explanation: Only visible for TestInsides members. You can sign-up / login (it's free).
Pairwise testing can be used in the context of self-driving cars for controlling an explosion in the number of combinations of parameters.
Which ONE of the following options is LEAST likely to be a reason for this incredible growth of parameters?
SELECT ONE OPTION
- A. Different features like ADAS, Lane Change Assistance etc.
- B. ML model metrics to evaluate the functional performance
- C. Different weather conditions
- D. Different Road Types
Correct Answer: B 🗳️
Explanation: Only visible for TestInsides members. You can sign-up / login (it's free).
Which ONE of the following options is an example that BEST describes a system with Al-based autonomous functions?
SELECT ONE OPTION
- A. A fully automated manufacturing plant that uses no software.
- B. A system that is fully able to respond to its environment.
- C. A system that utilizes human beings for all important decisions.
- D. A system that utilizes a tool like Selenium.
Correct Answer: B 🗳️
Explanation: Only visible for TestInsides members. You can sign-up / login (it's free).
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