Free AIF-C01 Exam Braindumps (page: 11)

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An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that speci c attributes affect the image generation and create bias in the model.
Which technique will solve the problem?

  1. Data augmentation for imbalanced classes
  2. Model monitoring for class distribution
  3. Retrieval Augmented Generation (RAG)
  4. Watermark detection for images

Answer(s): A



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?

  1. Use a different FM.
  2. Choose a lower temperature value.
  3. Create an Amazon Bedrock knowledge base.
  4. Enable model invocation logging.

Answer(s): C



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?

  1. Con gure the security and compliance by using Amazon Inspector.
  2. Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify.
  3. Encrypt and secure training data by using Amazon Macie.
  4. Gather more data. Use Amazon Rekognition to add custom labels to the data.

Answer(s): B



A company wants to deploy a conversational chatbot to answer customer questions. The chatbot is based on a ne-tuned Amazon SageMaker JumpStart model. The application must comply with multiple regulatory frameworks.
Which capabilities can the company show compliance for? (Choose two.)

  1. Auto scaling inference endpoints
  2. Threat detection
  3. Data protection
  4. Cost optimization
  5. Loosely coupled microservices

Answer(s): B,C






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