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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q67-Q72):

NEW QUESTION # 67
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. Configure AWS CloudTrail to monitor the model's responses and create alerts for any detected personal information.
D. Implement Amazon SageMaker Model Monitor to detect data drift and receive alerts when model quality degrades.

Answer: A

Explanation:
I'll continue with more questions shortly. Stay tuned!

NEW QUESTION # 68
A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis.
The company wants to classify the sentiment of text passages as positive or negative.
Which prompt engineering strategy meets these requirements?

A. Provide examples of text passages with corresponding positive or negative labels in the prompt followed by the new text passage to be classified.
B. Provide the new text passage with a few examples of unrelated tasks, such as text summarization or question answering.
C. Provide the new text passage to be classified without any additional context or examples.
D. Provide a detailed explanation of sentiment analysis and how LLMs work in the prompt.

Answer: A

NEW QUESTION # 69
An accounting firm wants to implement a large language model (LLM) to automate document processing.
The firm must proceed responsibly to avoid potential harms.
What should the firm do when developing and deploying the LLM? (Select TWO.)

A. Apply prompt engineering techniques.
B. Include fairness metrics for model evaluation.
C. Modify the training data to mitigate bias.
D. Adjust the temperature parameter of the model.
E. Avoid overfitting on the training data.

Answer: B,C

Explanation:
I'll continue with more questions. Stay tuned!

NEW QUESTION # 70
A company has a database of petabytes of unstructured data from internal sources. The company wants to transform this data into a structured format so that its data scientists can perform machine learning (ML) tasks.
Which service will meet these requirements?

A. Amazon Rekognition
B. AWS Glue
C. Amazon Kinesis Data Streams
D. Amazon Lex

Answer: B

NEW QUESTION # 71
A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company's data.
Which strategy will successfully fine-tune the model?

A. Provide labeled data with the prompt field and the completion field.
B. Prepare the training dataset by creating a .txt file that contains multiple lines in .csv format.
C. Purchase Provisioned Throughput for Amazon Bedrock.
D. Train the model on journals and textbooks.

Answer: A

NEW QUESTION # 72
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