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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Machine Learning | - ML Fundamentals
|
| Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Using AI for Testing | - AI-Assisted Testing
|
| Introduction to AI | - AI Fundamentals
|
| ML Functional Performance Metrics | - Performance Evaluation
|
| Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| ML Neural Networks and Testing | - Neural Networks
|
| ML Data | - Data Quality
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. "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 focus on non-functional requirements testing.
B) A lack of focus on choosing the right functional-performance metrics.
C) The input data has not been tested for quality prior to use for testing.
D) A lack of similarity between the training and testing data.
2. 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 number of classes
B) The quality of the labeling
C) Biased data
D) The data pipeline
3. 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 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.
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 neural network ML model with a current decision tree ML model for the same data.
4. A company producing consumable goods wants to identify groups of people with similar tastes for the purpose of targeting different products for each group. You have to choose and apply an appropriate ML type for this problem.
Which ONE of the following options represents the BEST possible solution for this above-mentioned task?
SELECT ONE OPTION
A) Association
B) Clustering
C) Classification
D) Regression
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: B |
