Question 1

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 2

A financial services firm is adopting Amazon Q Business to streamline its data-driven decision-making processes. As part of the implementation, the company needs a robust solution for managing user access, ensuring that employees across various departments have appropriate permissions to interact with dashboards and reports. The team is evaluating options for user management that offer secure, scalable, and easy-to-administer controls within Amazon Q Business.Which of the following would you recommend for user management in Amazon Q Business?

Options :

A : AWS Account

B : AWS IAM service

C : IAM user

D : IAM Identity Center

Answer: D

Question 3

A company wants to build an interactive application for children that generates new stories based on classic stories. The company wants to use Amazon Bedrock and needs to ensure that the results and topics are appropriate for children. Which AWS service or feature will meet these requirements?

Options :

A : Amazon Rekognition

B : Amazon Bedrock playgrounds

C : Guardrails for Amazon Bedrock

D : Agents for Amazon Bedrock

Answer: C

Question 4

A company wants to make a chatbot to help customers. The chatbot will help solve technical problems without human intervention. The company chose a foundation model (FM) for the chatbot. The chatbot needs to produce responses that adhere to company tone. Which solution meets these requirements?

Options :

A : Set a low limit on the number of tokens the FM can produce.

B : Use batch inferencing to process detailed responses.

C : Experiment and refine the prompt until the FM produces the desired responses.

D : Define a higher number for the temperature parameter.

Answer: C

Question 5

A pharmaceutical company wants to analyze user reviews of new medications and provide a concise overview for each medication. Which solution meets these requirements?

Options :

A : Create a time-series forecasting model to analyze the medication reviews by using Amazon Personalize.

B : Create medication review summaries by using Amazon Bedrock large language models (LLMs).

C : Create a classification model that categorizes medications into different groups by using Amazon SageMaker.

D : Create medication review summaries by using Amazon Rekognition.

Answer: B