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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q32-Q37):

NEW QUESTION # 32
An AI practitioner is using an Amazon Bedrock base model to summarize session chats from the customer service department. The AI practitioner wants to store invocation logs to monitor model input and output data.
Which strategy should the AI practitioner use?

A. Configure AWS Audit Manager as the logs destination for the model.
B. Configure model invocation logging in Amazon EventBridge.
C. Enable invocation logging in Amazon Bedrock.
D. Configure AWS CloudTrail as the logs destination for the model.

Answer: C

NEW QUESTION # 33
A company has built a solution by using generative AI.
The solution uses large language models (LLMs) to translate training manuals from English into other languages.
The company wants to evaluate the accuracy of the solution by examining the text generated for the manuals.
Which model evaluation strategy meets these requirements?

A. Bilingual Evaluation Understudy (BLEU)
B. Root mean squared error (RMSE)
C. Recall-Oriented Understudy for Gisting Evaluation (ROUGE)
D. F1 score

Answer: A

NEW QUESTION # 34
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?

A. Redact personal data in Amazon S3. Update the S3 bucket policy to allow team access to customer data.
B. Create an Amazon Bedrock custom service role for each team that has access to only the team's customer data.
C. Create a custom service role that has Amazon S3 access. Ask teams to specify the customer name on each Amazon Bedrock request.
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: B

NEW QUESTION # 35
A company has terabytes of data in a database that the company can use for business analysis. The company wants to build an AI-based application that can build a SQL query from input text that employees provide.
The employees have minimal experience with technology.
Which solution meets these requirements?

A. Generative pre-trained transformers (GPT)
B. Residual neural network
C. WaveNet
D. Support vector machine

Answer: A

NEW QUESTION # 36
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?

A. Build a conversational chatbot by using Amazon Lex.
B. Extract information from call recordings by using Amazon SageMaker Model Monitor.
C. Transcribe call recordings by using Amazon Transcribe.
D. Create classification labels by using Amazon Comprehend.

Answer: C

NEW QUESTION # 37
......

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Edward Martin Edward Martin

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