Free AIF-C01 Exam Braindumps (page: 4)

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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?

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

Answer(s): A



A company wants to use language models to create an application for inference on edge devices. The inference must have the lowest latency possible.
Which solution will meet these requirements?

  1. Deploy optimized small language models (SLMs) on edge devices.
  2. Deploy optimized large language models (LLMs) on edge devices.
  3. Incorporate a centralized small language model (SLM) API for asynchronous communication with edge devices.
  4. Incorporate a centralized large language model (LLM) API for asynchronous communication with edge devices.

Answer(s): A



A company wants to build an ML model by using Amazon SageMaker. The company needs to share and manage variables for model development across multiple teams.
Which SageMaker feature meets these requirements?

  1. Amazon SageMaker Feature Store
  2. Amazon SageMaker Data Wrangler
  3. Amazon SageMaker Clarify
  4. Amazon SageMaker Model Cards

Answer(s): A



A company wants to use generative AI to increase developer productivity and software development. The company wants to use Amazon Q Developer.
What can Amazon Q Developer do to help the company meet these requirements?

  1. Create software snippets, reference tracking, and open source license tracking.
  2. Run an application without provisioning or managing servers.
  3. Enable voice commands for coding and providing natural language search.
  4. Convert audio les to text documents by using ML models.

Answer(s): A






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