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Which ONE of the following options does NOT describe an Al technology related characteristic which differentiates Al test environments from other test environments?
SELECT ONE OPTION
Correct Answer:D
AI test environments have several unique characteristics that differentiate them from traditional test environments. Let??s evaluate each option:
✑ A. Challenges resulting from low accuracy of the models.
✑ B. The challenge of mimicking undefined scenarios generated due to self-learning.
✑ C. The challenge of providing explainability to the decisions made by the system.
✑ D. Challenges in the creation of scenarios of human handover for autonomous systems.
Given the above points, option D is the correct answer because it describes a challenge related to operational deployment rather than a technology-related characteristic unique to AI test environments.
Which ONE of the following activities is MOST relevant when addressing the scenario where you have more than the required amount of data available for the training?
SELECT ONE OPTION
Correct Answer:B
✑ A. Feature selection
✑ B. Data sampling
✑ C. Data labeling
✑ D. Data augmentation
Therefore, the correct answer is B because data sampling is the most relevant activity when dealing with an excess amount of data for training.
Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION
Correct Answer:B
✑ A. 64-bit CPUs.
✑ B. Hardware supporting fast matrix multiplication.
✑ C. High powered CPUs.
✑ D. Hardware supporting high precision floating point operations.
Therefore, the correct answer is B because hardware supporting fast matrix multiplication, such as GPUs, is most suitable for the parallel processing requirements of machine learning.
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
Correct Answer:A
* A. Using a pixel comparison of the GUI before and after the change to check the differences.
✑ Pixel comparison is a traditional method and does not involve AI. It compares
images at the pixel level, which can be effective but is not an intelligent approach. It is not considered an AI usage and is the least likely usage of AI for detecting GUI changes.
* B. Using computer vision to compare the GUI before and after the test object changes.
✑ Computer vision involves using AI techniques to interpret and process images. It is
a likely usage of AI for detecting changes in the GUI.
* C. Using vision-based detection of the GUI layout changes before and after test object changes.
✑ Vision-based detection is another AI technique where the layout and structure of
the GUI are analyzed to detect changes. This is a typical application of AI.
* D. Using a ML-based classifier to flag if changes in GUI are to be flagged for humans.
✑ An ML-based classifier can intelligently determine significant changes and decide
if they need human review, which is a sophisticated AI application.
Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values?
SELECT ONE OPTION
Correct Answer:C
Coverage for Neuron Activation Values: Sign change coverage is used to ensure that test cases cause each neuron to achieve both positive and negative activation values. This type of coverage ensures that the neurons are thoroughly tested under different activation states.
Reference: ISTQB_CT-AI_Syllabus_v1.0, Section 6.2 Coverage Measures for Neural Networks, which details different types of coverage measures, including sign change coverage.