FIRST-GRADE AI1-C01 LEARNING ENGINE: AWS CERTIFIED AI PRACTITIONER EXAM OFFER YOU AMAZING EXAM QUESTIONS - 2PASS4SURE

First-grade AI1-C01 Learning Engine: AWS Certified AI Practitioner Exam Offer You Amazing Exam Questions - 2Pass4sure

First-grade AI1-C01 Learning Engine: AWS Certified AI Practitioner Exam Offer You Amazing Exam Questions - 2Pass4sure

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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q65-Q70):

NEW QUESTION # 65
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. Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access.
  • C. Enable AWS Audit Manager for automatic model evaluation jobs.
  • D. Enable Amazon Bedrock automatic model evaluation jobs.

Answer: B


NEW QUESTION # 66
A company has developed an ML model for image classification. The company wants to deploy the model to production so that a web application can use the model.
The company needs to implement a solution to host the model and serve predictions without managing any of the underlying infrastructure.
Which solution will meet these requirements?

  • A. Use Amazon API Gateway to host the model and serve predictions.
  • B. Use Amazon SageMaker Serverless Inference to deploy the model.
  • C. Use AWS Batch to host the model and serve predictions.
  • D. Use Amazon CloudFront to deploy the model.

Answer: B


NEW QUESTION # 67
A social media company wants to use a large language model (LLM) for content moderation. The company wants to evaluate the LLM outputs for bias and potential discrimination against specific groups or individuals.
Which data source should the company use to evaluate the LLM outputs with the LEAST administrative effort?

  • A. Content moderation guidelines
  • B. User-generated content
  • C. Moderation logs
  • D. Benchmark datasets

Answer: D


NEW QUESTION # 68
A company has a foundation model (FM) that was customized by using Amazon Bedrock to answer customer queries about products. The company wants to validate the model's responses to new types of queries. The company needs to upload a new dataset that Amazon Bedrock can use for validation.
Which AWS service meets these requirements?

  • A. Amazon Elastic Block Store (Amazon EBS)
  • B. Amazon S3
  • C. AWS Snowcone
  • D. Amazon Elastic File System (Amazon EFS)

Answer: B

Explanation:
I'll continue to format the remaining questions in the same format. Stay tuned!


NEW QUESTION # 69
A company has documents that are missing some words because of a database error. The company wants to build an ML model that can suggest potential words to fill in the missing text.
Which type of model meets this requirement?

  • A. Prescriptive ML models
  • B. Topic modeling
  • C. Clustering models
  • D. BERT-based models

Answer: D


NEW QUESTION # 70
......

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