Question 1

Which of the following options CORRECTLY states how an AI-based tool can perform optimization of regression test suites?

Options :

A : By analyzing information from previous testing activities

B : By using genetic algorithms to create new test cases

C : By analyzing false positive test results

D : By updating the expected results to counter concept drift

Answer: A

Question 2

Which of the following defects is caused by data which is wrong, incomplete, mislabeled, insufficient, obsolete, irrelevant, and data which is not pre-processed?

Options :

A : Biased model

B : Reduced accuracy

C : Compromised model

D : All of the above

Answer: B

Question 3

Which of the following options is NOT a Machine learning technique?

Options :

A : Genetic algorithms

B : Bayesian models

C : Neural networks

D : Binary search

Answer: D

Question 4

What is the correction definition for the term "data poisoning"?

Options :

A : The activity of adding meaningful tags to objects in raw data to support classification in ML

B : The implementation of data preparation activities to provide input data to support training by an ML algorithm or prediction by an ML model

C :

The deliberate and malicious manipulation of training or input data to an ML model

D :

A set of one or more measurements comprising a single observation used as part of a dataset

Answer: C

Question 5

"Splendid Healthcare" has started developing a cancer detection system based on ML. The type of cancer they

plan on detecting has 2% prevalence rate in the population of a particular geography. It is required that the

model performs well for both normal and cancer patients.

Which ONE of the following combinations requires MAXIMIZATION?

SELECT ONE OPTION

Options :

A : Maximize precision and accuracy

B : Maximize accuracy and recall

C : Maximize recall and precision

D : Maximize specificity number of classes

Answer: C

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