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Question 1

In computer vision, what technique is used to identify and label objects within an image?

Options :

A : Feature extraction

B : Optical character recognition

C : Object detection

D : Image segmentation

Answer: C

Question 2

A data scientist is using the following confusion matrix to assess model performance:

The model is predicting whether a delivery truck will be able to make 200 scheduled delivery stops. Every time the model is correct, the company saves an hour in planning and scheduling of maintenance work. Every time the model is wrong, the company loses four hours of delivery time for the truck. Which of the following is the net model impact for the company?

Options :

A : 25 hours lost

B : 25 hours saved

C : 165 hours lost

D : 165 hours saved

Answer: A

Question 3

Which machine learning algorithm is suitable for handling imbalanced datasets?

Options :

A : Decision trees

B : Naive Bayes

C : Random forest

D : Support vector machines

Answer: C

Question 4

What technique is commonly used to handle imbalanced datasets by creating synthetic samples of the minority class?

Options :

A : SMOTE

B : Undersampling the majority class

C : Oversampling the minority class

D : Regularization

Answer: A

Question 5

What method of data communication is effective for conveying complex statistical findings to non-technical stakeholders?

Options :

A : Oral presentations

B : Data visualization

C : Technical documentation

D : Written reports

Answer: B