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ISQI CT-AI_v1.0_World Exam Syllabus Topics:

ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:

1. Arihant Meditation is a startup using Al to aid people in deeper and better meditation based on analysis of various factors such as time and duration of the meditation, pulse and blood pressure, EEG patters etc. among others. Their model accuracy and other functional performance parameters have not yet reached their desired level.
Which ONE of the following factors is NOT a factor affecting the ML functional performance?
SELECT ONE OPTION

A) The quality of the labeling
B) The data pipeline
C) Biased data
D) The number of classes

2. Which ONE of the following approaches to labelling requires the least time and effort?
SELECT ONE OPTION

A) Internal
B) Al-Assisted
C) Pre-labeled dataset
D) Outsourced

3. Which ONE of the following options describes the LEAST LIKELY usage of Al for detection of GUI changes due to changes in test objects?
SELECT ONE OPTION

A) Using a ML-based classifier to flag if changes in GUI are to be flagged for humans.
B) Using a computer vision to compare the GUI before and after the test object changes.
C) Using a vision-based detection of the GUI layout changes before and after test object changes.
D) Using a pixel comparison of the GUI before and after the change to check the differences.

4. 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) Identifying the relationship between developers and the modules developed by them.
C) Using a classification model to predict the presence of a defect by using code quality metrics as the input data.
D) Clustering of similar code modules to predict based on similarity.

Solutions: