Question 1

A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket. The data is encrypted with Amazon S3 managed keys (SSE-S3).

The FM encounters a failure when attempting to access the S3 bucket data.

Which solution will meet these requirements?

Options :

A :

Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.

B : Set the access permissions for the S3 buckets to allow public access to enable access over the internet.

C : Use prompt engineering techniques to tell the model to look for information in Amazon S3.

D : Ensure that the S3 data does not contain sensitive information.

Answer: A

Question 2

What are the key differences between real-time inference and batch inference in the context of machine learning? (Select two)

Options :

A : Batch inference follows a synchronous execution mode, whereas real-time inference follows an asynchronous execution mode

B : Real-time inference processes data in large batches at scheduled intervals, while batch inference processes individual data points immediately as they arrive

C : Real-time inference follows a synchronous execution mode, whereas batch inference follows an asynchronous execution mode

D : Real-time inference is used for applications requiring immediate predictions with low latency, whereas batch inference is used for processing large volumes of data at once, often with higher latency

E : Batch inference follows an API-based invocation, whereas real-time inference follows a schedule-based invocation

Answer: C,D

Question 3

An organization deploys its IT infrastructure in a combination of its on-premises data center along with AWS Cloud. How would you categorize this deployment model?

Options :

A : Hybrid deployment

B : Mixed deployment

C : Private deployment

D : Cloud deployment

Answer: A

Question 4

A company wants to use Amazon Bedrock for several use cases involving text generation as well as image generation. Which of the following Foundation Models do you recommend?

Options :

A : Jurassic

B : Claude

C : Amazon Titan

D : Llama

Answer: C

Question 5

A company manually reviews all submitted resumes in PDF format. As the company grows, the company expects the volume of resumes to exceed the company's review capacity. The company needs an automated system to convert the PDF resumes into plain text format for additional processing. Which AWS service meets this requirement?

Options :

A : Amazon Textract

B : Amazon Personalize

C : Amazon Lex

D : Amazon Transcribe

Answer: A

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