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最新的 AWS Certified AI AI1-C01 免費考試真題:

1. An AI practitioner is using a large language model (LLM) to create content for marketing campaigns. The generated content sounds plausible and factual but is incorrect.
Which problem is the LLM having?

A) Underfitting
B) Data leakage
C) Overfitting
D) Hallucination

2. A medical company deployed a disease detection model on Amazon Bedrock. To comply with privacy policies, the company wants to prevent the model from including personal patient information in its responses. The company also wants to receive notification when policy violations occur.
Which solution meets these requirements?

A) Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms fornotification of policy violations.
B) Use Amazon Macie to scan the model's output for sensitive data and set up alerts for potential violations.
C) Implement Amazon SageMaker Model Monitor to detect data drift and receive alerts when model quality degrades.
D) Configure AWS CloudTrail to monitor the model's responses and create alerts for any detected personal information.

3. A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts.
An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders.
What should the AI practitioner include in the report to meet the transparency and explainability requirements?

A) Model convergence tables
B) Code for model training
C) Partial dependence plots (PDPs)
D) Sample data for training

4. 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

5. A company is building a customer service chatbot. The company wants the chatbot to improve its responses by learning from past interactions and online resources.
Which AI learning strategy provides this self-improvement capability?

A) Unsupervised learning to find clusters of similar customer inquiries
B) Reinforcement learning with rewards for positive customer feedback
C) Supervised learning with a continuously updated FAQ database
D) Supervised learning with a manually curated dataset of good responses and bad responses

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