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iSQI Updated CT-AI_(v1.0)_World Exam Questions and Answers by percy

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iSQI CT-AI_(v1.0)_World Exam Overview :

Exam Name: ISTQB Certified Tester AI Testing (v 1.0)
Exam Code: CT-AI_(v1.0)_World Dumps
Vendor: iSQI Certification: ISQI certification
Questions: 40 Q&A's Shared By: percy
Question 8

Which ONE of the following tests is LEAST likely to be performed during the ML model testing phase?

SELECT ONE OPTION

Options:

A.

Testing the accuracy of the classification model.

B.

Testing the API of the service powered by the ML model.

C.

Testing the speed of the training of the model.

D.

Testing the speed of the prediction by the model.

Discussion
Question 9

Which ONE of the following describes a situation of back-to-back testing the LEAST?

SELECT ONE OPTION

Options:

A.

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.

B.

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

C.

Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.

D.

Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.

Discussion
Question 10

Which ONE of the following statements correctly describes the importance of flexibility for Al systems?

SELECT ONE OPTION

Options:

A.

Al systems are inherently flexible.

B.

Al systems require changing of operational environments; therefore, flexibility is required.

C.

Flexible Al systems allow for easier modification of the system as a whole.

D.

Self-learning systems are expected to deal with new situations without explicitly having to program for it.

Discussion
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Question 11

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

Options:

A.

Using a pixel comparison of the GUI before and after the change to check the differences.

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 ML-based classifier to flag if changes in GUI are to be flagged for humans.

Discussion
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