Updated: Jun 22, 2026
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1. A ML engineer is trying to determine the correctness of the new open-source implementation *X", of a supervised regression algorithm implementation. R-Square is one of the functional performance metrics used to determine the quality of the model.
Which ONE of the following would be an APPROPRIATE strategy to achieve this goal?
SELECT ONE OPTION
A) Train various models by changing the order of input features and verify that the R-Square score of these models vary significantly.
B) Compare the R-Square score of the model obtained using two different implementations that utilize two different programming languages while using the same algorithm and the same training and testing data.
C) Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.
D) Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.
2. Which ONE of the following tests is LEAST likely to be performed during the ML model testing phase?
SELECT ONE OPTION
A) Testing the speed of the training of the model.
B) Testing the speed of the prediction by the model.
C) Testing the API of the service powered by the ML model.
D) Testing the accuracy of the classification model.
3. In a conference on artificial intelligence (Al), a speaker made the statement, "The current implementation of Al using models which do NOT change by themselves is NOT true Al*. Based on your understanding of Al, is this above statement CORRECT or INCORRECT and why?
SELECT ONE OPTION
A) This statement is correct. In general, today the term Al is utilized incorrectly.
B) This statement is incorrect. What is considered Al today will continue to be Al even as technology evolves and changes.
C) This statement is correct. In general, what is considered Al today may change over time.
D) This statement is incorrect. Current Al is true Al and there is no reason to believe that this fact will change over time.
4. "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
A) Maximize accuracy and recall
B) Maximize specificity number of classes
C) Maximize recall and precision
D) Maximize precision and accuracy
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: C |
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