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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Using AI for Testing | - AI-Assisted Testing
|
| Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| ML Neural Networks and Testing | - Neural Networks
|
| Introduction to AI | - AI Fundamentals
|
| Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Machine Learning | - ML Fundamentals
|
| ML Data | - Data Quality
|
| Testing AI-Specific Quality Characteristics | - Quality Validation
|
| ML Functional Performance Metrics | - Performance Evaluation
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Which ONE of the following options is the MOST APPROPRIATE stage of the ML workflow to set model and algorithm hyperparameters?
SELECT ONE OPTION
- A. Evaluating the model
- B. Deploying the model
- C. Tuning the model
- D. Data testing
Correct Answer: C 🗳️
Explanation: Only visible for DumpsTorrent members. You can sign-up / login (it's free).
The activation value output for a neuron in a neural network is obtained by applying computation to the neuron.
Which ONE of the following options BEST describes the inputs used to compute the activation value?
SELECT ONE OPTION
- A. Individual bias at the neuron level, and weights assigned to the connections between theneurons.
- B. Activation values of neurons in the previous layer, and weights assigned to the connections between the neurons.
- C. Individual bias at the neuron level, activation values of neurons in the previous layer, and weights assigned to the connections between the neurons.
- D. Individual bias at the neuron level, and activation values of neurons in the previous layer.
Correct Answer: C 🗳️
Explanation: Only visible for DumpsTorrent members. You can sign-up / login (it's free).
Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION
- A. High powered CPUs.
- B. Hardware supporting fast matrix multiplication.
- C. Hardware supporting high precision floating point operations.
- D. 64-bit CPUs.
Correct Answer: B 🗳️
Explanation: Only visible for DumpsTorrent members. You can sign-up / login (it's free).
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 weather conditions
- B. Different Road Types
- C. Different features like ADAS, Lane Change Assistance etc.
- D. ML model metrics to evaluate the functional performance
Correct Answer: D 🗳️
Explanation: Only visible for DumpsTorrent members. You can sign-up / login (it's free).
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