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1. Which ONE of the following tests is LEAST likely to be performed during the ML model testing phase?
SELECT ONE OPTION
A) Testing the API of the service powered by the ML model.
B) Testing the accuracy of the classification model.
C) Testing the speed of the prediction by the model.
D) Testing the speed of the training of the model.
2. 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) Identifying the relationship between developers and the modules developed by them.
B) Search of similar code based on natural language processing.
C) Clustering of similar code modules to predict based on similarity.
D) Using a classification model to predict the presence of a defect by using code quality metrics as the input data.
3. Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION
A) 64-bit CPUs.
B) Hardware supporting fast matrix multiplication.
C) Hardware supporting high precision floating point operations.
D) High powered CPUs.
4. 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
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.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: D |
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