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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| ML Data | - Data Quality
|
| ML Functional Performance Metrics | - Performance Evaluation
|
| ML Neural Networks and Testing | - Neural Networks
|
| Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Using AI for Testing | - AI-Assisted Testing
|
| Introduction to AI | - AI Fundamentals
|
| Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Machine Learning | - ML Fundamentals
|
| Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Which ONE of the following options BEST DESCRIBES clustering?
SELECT ONE OPTION
- A. Clustering is supervised learning.
- B. Clustering is classification of a continuous quantity.
- C. Clustering requires you to know the classes.
- D. Clustering is done without prior knowledge of output classes.
Correct Answer: D 🗳️
Explanation: Only visible for TestBraindump members. You can sign-up / login (it's free).
Which ONE of the following describes a situation of back-to-back testing the LEAST?
SELECT ONE OPTION
- A. Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.
- B. Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.
- C. Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data
- D. Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.
Correct Answer: B 🗳️
Explanation: Only visible for TestBraindump members. You can sign-up / login (it's free).
In a conference on artificial intelligence (Al), a speaker made the statement, "The current implementation of Al using models which do NOT change by themselves is NOT true Al*. Based on your understanding of Al, is this above statement CORRECT or INCORRECT and why?
SELECT ONE OPTION
- A. This statement is correct. In general, today the term Al is utilized incorrectly.
- B. This statement is incorrect. What is considered Al today will continue to be Al even as technology evolves and changes.
- C. This statement is correct. In general, what is considered Al today may change over time.
- D. This statement is incorrect. Current Al is true Al and there is no reason to believe that this fact will change over time.
Correct Answer: C 🗳️
Explanation: Only visible for TestBraindump members. You can sign-up / login (it's free).
Which ONE of the following options does NOT describe an Al technology related characteristic which differentiates Al test environments from other test environments?
SELECT ONE OPTION
- A. Challenges resulting from low accuracy of the models.
- B. Challenges in the creation of scenarios of human handover for autonomous systems.
- C. The challenge of mimicking undefined scenarios generated due to self-learning
- D. The challenge of providing explainability to the decisions made by the system.
Correct Answer: B 🗳️
Explanation: Only visible for TestBraindump members. You can sign-up / login (it's free).
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