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ISQI CT-AI_v1.0_World Actual Tests : ISTQB Certified Tester AI Testing (v1.0)
About ISQI CT-AI_v1.0_World Exam Actual Tests
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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Topic 2: ML Neural Networks and Testing | - Neural Networks
|
| Topic 3: Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Topic 4: Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| Topic 5: ML Functional Performance Metrics | - Performance Evaluation
|
| Topic 6: Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Topic 7: Using AI for Testing | - AI-Assisted Testing
|
| Topic 8: Machine Learning | - ML Fundamentals
|
| Topic 9: Introduction to AI | - AI Fundamentals
|
| Topic 10: ML Data | - Data Quality
|
| Topic 11: Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
ln the near future, technology will have evolved, and Al will be able to learn multiple tasks by itself without needing to be retrained, allowing it to operate even in new environments. The cognitive abilities of Al are similar to a child of 1-2 years.' In the above quote, which ONE of the following options is the correct name of this type of Al?
SELECT ONE OPTION
- A. General Al
- B. Technological singularity
- C. Narrow Al
- D. Super Al
Correct Answer: A 🗳️
Explanation: Only visible for Actual4test members. You can sign-up / login (it's free).
Which ONE of the following characteristics is the least likely to cause safety related issues for an Al system?
SELECT ONE OPTION
- A. Non-determinism
- B. High complexity
- C. Robustness
- D. Self-learning
Correct Answer: C 🗳️
Explanation: Only visible for Actual4test members. You can sign-up / login (it's free).
"BioSearch" is creating an Al model used for predicting cancer occurrence via examining X-Ray images. The accuracy of the model in isolation has been found to be good. However, the users of the model started complaining of the poor quality of results, especially inability to detect real cancer cases, when put to practice in the diagnosis lab, leading to stopping of the usage of the model.
A testing expert was called in to find the deficiencies in the test planning which led to the above scenario.
Which ONE of the following options would you expect to MOST likely be the reason to be discovered by the test expert?
SELECT ONE OPTION
- A. A lack of similarity between the training and testing data.
- B. A lack of focus on choosing the right functional-performance metrics.
- C. A lack of focus on non-functional requirements testing.
- D. The input data has not been tested for quality prior to use for testing.
Correct Answer: A 🗳️
Explanation: Only visible for Actual4test members. You can sign-up / login (it's free).
"AllerEgo" is a product that uses sell-learning to predict the behavior of a pilot under combat situation for a variety of terrains and enemy aircraft formations. Post training the model was exposed to the real- world data and the model was found to bebehaving poorly. A lot of data quality tests had been performed on the data to bring it into a shape fit for training and testing.
Which ONE of the following options is least likely to describes the possible reason for the fall in the performance, especially when considering the self-learning nature of the Al system?
SELECT ONE OPTION
- A. The difficulty of defining criteria for improvement before the model can be accepted.
- B. The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
- C. There was an algorithmic bias in the Al system.
- D. The fast pace of change did not allow sufficient time for testing.
Correct Answer: A 🗳️
Explanation: Only visible for Actual4test members. You can sign-up / login (it's free).
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