Question 1

A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company's employees prefer. What should the company do to meet these requirements?

Options :

A : Evaluate the models by using built-in prompt datasets.

B : Evaluate the models by using a human workforce and custom prompt datasets.

C : Use public model leaderboards to identify the model.

D : Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models.

Answer: B

Question 2

A company is building a chatbot to improve user experience. The company is using a large language model (LLM) from Amazon Bedrock for intent detection. The company wants to use few-shot learning to improve intent detection accuracy. Which additional data does the company need to meet these requirements?

Options :

A : Pairs of chatbot responses and correct user intents

B : Pairs of user messages and correct chatbot responses

C : Pairs of user messages and correct user intents

D : Pairs of user intents and correct chatbot responses

Answer: C

Question 3

A company wants to develop a large language model (LLM) application by using Amazon Bedrock and customer data that is uploaded to Amazon S3. The company's security policy states that each team can access data for only the team's own customers. Which solution will meet these requirements?

Options :

A : Create an Amazon Bedrock custom service role for each team that has access to only the team's customer data

B : Create a custom service role that has Amazon S3 access. Ask teams to specify the customer name on each Amazon Bedrock request.

C : Redact personal data in Amazon S3. Update the S3 bucket policy to allow team access to customer data.

D : Create one Amazon Bedrock role that has full Amazon S3 access. Create IAM roles for each team that have access to only each team-s customer folders.

Answer: A

Question 4

A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls. Which solution meets these requirements?

Options :

A : Build a conversational chatbot by using Amazon Lex.

B : Transcribe call recordings by using Amazon Transcribe.

C : Extract information from call recordings by using Amazon SageMaker Model Monitor.

D : Create classification labels by using Amazon Comprehend.

Answer: B

Question 5

A technology company is considering using Amazon Web Services (AWS) to support its growing application infrastructure and is exploring different cloud computing models. The team is particularly interested in Amazon Elastic Compute Cloud (EC2) to handle its scalable compute needs, as understanding this will help them determine how much control they have over the underlying infrastructure and how best to manage their resources.Which type of cloud computing does Amazon Elastic Compute Cloud (EC2) represent?

Options :

A : Network as a Service (NaaS)

B : Platform as a Service (PaaS)

C : Software as a Service (SaaS)

D : Infrastructure as a Service (IaaS)

Answer: D

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