Question 1

How does Amazon Polly enhance customer engagement?

Options :

A : By converting text into lifelike speech.

B : By providing personalized product recommendations.

C : By facilitating voice interactions with Alexa devices.

D : By predicting customer demand metrics accurately.

Answer: A

Question 2

A manufacturing company wants to monitor its devices for anomalous behavior.A data scientist has trained an Amazon SageMaker scikit-learn model that classifies a device as normal or anomalous based on its 4-day telemetry.The 4-day telemetry of each device is collected in a separate file and is placed in an Amazon S3 bucket once every hour. The total time to run the model across the telemetry for all devices is 5 minutes.What is the MOST cost-effective solution for the company to use to run the model across the telemetry for all the devices?

Options :

A : SageMaker Processing

B : SageMaker Asynchronous Inference

C : SageMaker Batch Transform

D : A SageMaker multi-container endpoint

Answer: A

Question 3

How does Amazon Personalize improve customer engagement?

Options :

A : By identifying potentially fraudulent activities in real-time.

B : By providing highly accurate demand forecasts.

C : By making it easy to build, train, and deploy recommendation models.

D : By converting text into lifelike speech.

Answer: C

Question 4

How do ride-sharing apps like Uber and Lyft use machine learning?

Options :

A : To recommend destinations

B : To lower wait times

C : For demand prediction

D : To optimize price setting

Answer: B,C,D

Question 5

What is the first step in building a machine learning application?

Options :

A : Preparing the data

B : Training the model

C : Formulating the problem

D : Testing the model

Answer: C