Question 1

"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

Question 2

Given the following descriptions:

I. Model performance is checked using validation data

II. The origin of test data used to test the model is identified

III. The tuned model is made ready for its target hardware

IV. Test data are used to ensure the agreed ML functional performance criteria are met

V. The model is created from source code

VI. The critical data features are identified

Which of the following options BEST matches the descriptions with the activities in the ML workflow?

Options :

A : V - Build & Compile Model / II - Prepare the Data / I - Evaluate the Model

B : III - Build & Compile Model / VI - Prepare the Data / I - Evaluate the Model

C : III - Build & Compile Model / II - Prepare the Data / IV - Evaluate the Model

D : V - Build & Compile Model / VI - Prepare the Data / IV - Evaluate the Model

Answer: A

Question 3

Al systems like any other conventional system are created with a specific purpose. Testers make it possible to define the system requirement and validate the design specifications.

Which ONE of the following is NOT a reason why AL the specification of AL based systems is challenging

Options :

A : The specification of the required logic from the start of the Al-based systems project

B : Poorly specified behavior requirements where the system goals call for replicating human behavior, rather than providing specific functionality

C : The acceptance of tolerances for some of the expected quality requirements

D : The accuracy of the AI-based system is often unknown until the test results from independent testing are available

Answer: A

Question 4

Consider a machine learning model where the model is attempting to predict if a patient is at risk for stroke. The model collects information on each patient regarding their blood pressure, red blood cell count, smoking, status, history of heart disease, cholesterol level, and demographics. Then, using a decision tree the model predicts whether or not the associated patient is likely to have a stroke in the near future. One the model is created using a training data set, it is used to predict a stroke in 80 additional patients. The table below shows a confusion matrix on whether or not the model mode a correct or incorrect prediction. The testers have calculated what they believe to be an appropriate functional performance metric for the model. They calculated a value of 2/3 or 0.6667.

Options :

A :

F1 –source

B : Precision

C : Recall

D : Accuracy

Answer: D

Question 5

“An ML model whose expected output for a given numeric input is a continuous variable"

Options :

A : Clustering Algorithm

B : Receiver Operating Characteristic (ROC) curve

C : Genetic Algorithm

D : Regression Model

Answer: D

Higher Test Marks with Free Online CT-AI Exam Practice

Buying Options: