AWS Certified AI Practitioner AIF-C01 Practice Test

AWS Certified AI Practitioner AIF-C01 Practice Test practice questions, page 15 of 20, with answer review and explanations.

Question 71

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 specific 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

Question 72

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.

Question 73

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. Configure 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.

Question 74

A company wants to deploy a conversational chatbot to answer customer questions. The chatbot is based on a fine-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

Question 75

A company is training a foundation model (FM). The company wants to increase the accuracy of the model up to a specific acceptance level. Which solution will meet these requirements?

  1. Decrease the batch size.
  2. Increase the epochs.
  3. Decrease the epochs.
  4. Increase the temperature parameter.