AI1-C01 TEST ENGINE VERSION - PASS AWS CERTIFIED AI PRACTITIONER EXAM FOREVER

AI1-C01 Test Engine Version - Pass AWS Certified AI Practitioner Exam Forever

AI1-C01 Test Engine Version - Pass AWS Certified AI Practitioner Exam Forever

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Tags: AI1-C01 Test Engine Version, AI1-C01 Test Price, Reliable AI1-C01 Braindumps Sheet, AI1-C01 Exam Success, AI1-C01 Valid Dumps Demo

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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q79-Q84):

NEW QUESTION # 79
A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket.
The data is encrypted with Amazon S3 managed keys (SSE-S3).
The FM encounters a failure when attempting to access the S3 bucket data.
Which solution will meet these requirements?

  • A. Use prompt engineering techniques to tell the model to look for information in Amazon S3.
  • B. Set the access permissions for the S3 buckets to allow public access to enable access over the internet.
  • C. Ensure that the S3 data does not contain sensitive information.
  • D. Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.

Answer: D


NEW QUESTION # 80
A company wants to use large language models (LLMs) with Amazon Bedrock to develop a chat interface for the company's product manuals. The manuals are stored as PDF files.
Which solution meets these requirements MOST cost-effectively?

  • A. Use prompt engineering to add all the PDF files as context to the user prompt when the prompt is submitted to Amazon Bedrock.
  • B. Use prompt engineering to add one PDF file as context to the user prompt when the prompt is submitted to Amazon Bedrock.
  • C. Use all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned model to process user prompts.
  • D. Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base to provide context when users submit prompts to Amazon Bedrock.

Answer: D


NEW QUESTION # 81
A medical company is customizing a foundation model (FM) for diagnostic purposes. The company needs the model to be transparent and explainable to meet regulatory requirements.
Which solution will meet these requirements?

  • A. Gather more data. Use Amazon Rekognition to add custom labels to the data.
  • B. Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify.
  • C. Encrypt and secure training data by using Amazon Macie.
  • D. Configure the security and compliance by using Amazon Inspector.

Answer: B


NEW QUESTION # 82
An AI practitioner has a database of animal photos. The AI practitioner wants to automatically identify and categorize the animals in the photos without manual human effort.
Which strategy meets these requirements?

  • A. Anomaly detection
  • B. Named entity recognition
  • C. Inpainting
  • D. Object detection

Answer: D


NEW QUESTION # 83
A company is using few-shot prompting on a base model that is hosted on Amazon Bedrock. The model currently uses 10 examples in the prompt. The model is invoked once daily and is performing well. The company wants to lower the monthly cost.
Which solution will meet these requirements?

  • A. Increase the number of tokens in the prompt.
  • B. Use Provisioned Throughput.
  • C. Decrease the number of tokens in the prompt.
  • D. Customize the model by using fine-tuning.

Answer: C


NEW QUESTION # 84
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