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Question 1

Which AWS service makes it easy to build and deploy recommendation models?

Options :

A : Amazon Personalize

B : Amazon Forecast

C : Amazon Fraud Detector

D : Amazon SageMaker

Answer: A

Question 2

A Machine Learning Specialist is implementing a full Bayesian network on a dataset that describes public transit in New York City.One of the random variables is discrete and represents the number of minutes New Yorkers wait for a bus given that the buses cycle every 10 minutes, with a mean of 3 minutes.Which prior probability distribution should the ML Specialist use for this variable?

Options :

A : Normal distribution

B : Poisson distribution

C : Uniform distribution

D : Binomial distribution

Answer: D

Question 3

How is deep learning different from general machine learning?

Options :

A : It requires no domain knowledge.

B : It uses a layered architecture mimicking the human brain.

C : It relies solely on historical data.

D : It is unrelated to pattern recognition.

Answer: B

Question 4

Which task is machine learning NOT used for in the examples provided?

Options :

A : Scheduling medical staff

B : Improving product recommendations

C : Recognizing content on mobile check deposits

D : Customizing search results

Answer: A

Question 5

How is machine learning utilized in healthcare?

Options :

A : Automating the patient check-in process

B : Managing medical staff schedules

C : Suggesting treatment for patients by analyzing clinical data

D : Scheduling patient appointments

Answer: C