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iSQI CT-AI Exam Dumps

iSQI CT-AI Exam Dumps

Certification Exams

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Number Of Questions

40

$ 39

Description

Exam Name: Certified Tester AI Testing
Exam Code: CT-AI
Related Certification(s): iSQI ISTQB Certified Tester Certification
Certification Provider: iSQI
Number of CT-AI practice questions in our database: 40 
Expected CT-AI Exam Topics, as suggested by iSQI :

  • Module 1: Introduction to AI: This exam section covers topics such as the AI effect and how it influences the definition of AI. It covers how to distinguish between narrow AI, general AI, and super AI; moreover, the topics covered include describing how standards apply to AI-based systems.
  • Module 2: Quality Characteristics for AI-Based Systems: This section covers topics covered how to explain the importance of flexibility and adaptability as characteristics of AI-based systems and describes the vitality of managing evolution for AI-based systems. It also covers how to recall the characteristics that make it difficult to use AI-based systems in safety-related applications.
  • Module 3: Machine Learning ML: This section includes the classification and regression as part of supervised learning, explaining the factors involved in the selection of ML algorithms, and demonstrating underfitting and overfitting.
  • Module 4: ML: Data: This section of the exam covers explaining the activities and challenges related to data preparation. It also covers how to test datasets create an ML model and recognize how poor data quality can cause problems with the resultant ML model.
  • Module 5: ML Functional Performance Metrics: In this section, the topics covered include how to calculate the ML functional performance metrics from a given set of confusion matrices.
  • Module 6: Neural Networks and Testing: This section of the exam covers defining the structure and function of a neural network including a DNN and the different coverage measures for neural networks.
  • Module 7: Testing AI-Based Systems Overview: In this section, focus is given to how system specifications for AI-based systems can create challenges in testing and explain automation bias and how this affects testing.
  • Module 8: Testing AI-Specific Quality Characteristics: In this section, the topics covered are about the challenges in testing created by the self-learning of AI-based systems.
  • Module 9: Methods and Techniques for the Testing of AI-Based Systems: In this section, the focus is on explaining how the testing of ML systems can help prevent adversarial attacks and data poisoning.
  • Module 10: Test Environments for AI-Based Systems: This section is about factors that differentiate the test environments for AI-based systems from those required for conventional systems.
  • Module 11: Using AI for Testing: In this section, the exam topics cover categorizing the AI technologies used in software testing.

Q1. 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 Road Types

B. Different weather conditions

C. ML model metrics to evaluate the functional performance

D. Different features like ADAS, Lane Change Assistance etc.

Correct Answer: C

Q2. Written requirements are given in text documents, which ONE of the following options is the BEST way to generate test cases from these requirements? SELECT ONE OPTION

A.Natural language processing on textual requirements

B. Analyzing source code for generating test cases

C. Machine learning on logs of execution

D. GUI analysis by computer vision

Correct Answer: A

Q3. 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 Road Types

B. Different weather conditions

C. ML model metrics to evaluate the functional performance

D. Different features like ADAS, Lane Change Assistance etc.

Correct Answer: C

Q4. Written requirements are given in text documents, which ONE of the following options is the BEST way to generate test cases from these requirements? SELECT ONE OPTION

A.Natural language processing on textual requirements

B. Analyzing source code for generating test cases

C. Machine learning on logs of execution

D. GUI analysis by computer vision

Correct Answer: A

$ 39

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