EXAM QUESTIONS AI1-C01 VCE & AI1-C01 VCE FREE

Exam Questions AI1-C01 Vce & AI1-C01 Vce Free

Exam Questions AI1-C01 Vce & AI1-C01 Vce Free

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Tags: Exam Questions AI1-C01 Vce, AI1-C01 Vce Free, AI1-C01 Actual Questions, AI1-C01 Valid Mock Exam, AI1-C01 Reliable Test Braindumps

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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q85-Q90):

NEW QUESTION # 85
A company is building an application that needs to generate synthetic data that is based on existing data.
Which type of model can the company use to meet this requirement?

  • A. Generative adversarial network (GAN)
  • B. XGBoost
  • C. WaveNet
  • D. Residual neural network

Answer: A


NEW QUESTION # 86
A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents.
Which solution meets these requirements?

  • A. Develop a multi-language translation system.
  • B. Create a recommendation engine.
  • C. Build an automatic named entity recognition system.
  • D. Develop a summarization chatbot.

Answer: D


NEW QUESTION # 87
A company needs to build its own large language model (LLM) based on only the company's private data.
The company is concerned about the environmental effect of the training process.
Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?

  • A. Amazon EC2 G series
  • B. Amazon EC2 P series
  • C. Amazon EC2 C series
  • D. Amazon EC2 Trn series

Answer: D


NEW QUESTION # 88
A company is implementing the Amazon Titan foundation model (FM) by using Amazon Bedrock. The company needs to supplement the model by using relevant data from the company's private data sources.
Which solution will meet this requirement?

  • A. Use a different FM
  • B. Create an Amazon Bedrock knowledge base
  • C. Enable model invocation logging
  • D. Choose a lower temperature value

Answer: B


NEW QUESTION # 89
A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality.
Which action must the company take to use the custom model through Amazon Bedrock?

  • A. Deploy the custom model in an Amazon SageMaker endpoint for real-time inference.
  • B. Purchase Provisioned Throughput for the custom model.
  • C. Grant access to the custom model in Amazon Bedrock.
  • D. Register the model with the Amazon SageMaker Model Registry.

Answer: A


NEW QUESTION # 90
......

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AI1-C01 - Marvelous Exam Questions AWS Certified AI Practitioner Exam Vce

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