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最新的 AWS Certified AI AI1-C01 免費考試真題:

1. A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company needs the LLM to produce more consistent responses to the same input prompt.
Which adjustment to an inference parameter should the company make to meet these requirements?

A) Decrease the temperature value
B) Increase the maximum generation length
C) Increase the temperature value
D) Decrease the length of output tokens

2. A security company is using Amazon Bedrock to run foundation models (FMs). The company wants to ensure that only authorized users invoke the models. The company needs to identify any unauthorized access attempts to set appropriate AWS Identity and Access Management (IAM) policies and roles for future iterations of the FMs.
Which AWS service should the company use to identify unauthorized users that are trying to accessAmazon Bedrock?

A) AWS CloudTrail
B) AWS Trusted Advisor
C) Amazon Fraud Detector
D) AWS Audit Manager

3. An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attributes affect the image generation and create bias in the model.
Which technique will solve the problem?

A) Data augmentation for imbalanced classes
B) Model monitoring for class distribution
C) Watermark detection for images
D) Retrieval Augmented Generation (RAG)

4. A large retailer receives thousands of customer support inquiries about products every day. The customer support inquiries need to be processed and responded to quickly. The company wants to implement Agents for Amazon Bedrock.
What are the key benefits of using Amazon Bedrock agents that could help this retailer?

A) Selecting the foundation model (FM) based on predefined criteria and metrics
B) Automatically calling multiple foundation models (FMs) and consolidating the results
C) Generation of custom foundation models (FMs) to predict customer needs
D) Automation of repetitive tasks and orchestration of complex workflows

5. How can companies use large language models (LLMs) securely on Amazon Bedrock?

A) Use Amazon CloudWatch Logs to make models explainable and to monitor for bias.
B) Enable Amazon Bedrock automatic model evaluation jobs.
C) Enable AWS Audit Manager for automatic model evaluation jobs.
D) Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access.

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