AWS Certified AI Practitioner AIF-C01 Practice Test

Review 488 AWS-CERTIFIED-AI-PRACTITIONER-AIF-C01 practice questions with answer explanations and community insights.

Question 1

A company needs to scan its Amazon EC2 based ML infrastructure for security vulnerabilities before deploying generative AI (GenAI) models. Which AWS service provides automated vulnerability assessment?

  1. AWS CloudFormation
  2. Amazon Comprehend
  3. Amazon Inspector
  4. AWS Trusted Advisor

Question 2

A financial services company has developed an AI model by using AWS. The AI model assists with reviewing customer loan applications. Because regulatory requirements require transparency, the company needs to be able to explain how the model makes its decisions. Which AWS service or feature meets these requirements?

  1. Amazon SageMaker Clarify
  2. Amazon Rekognition
  3. Amazon Comprehend
  4. Amazon SageMaker Model Monitor

Question 3

A generative AI application is generating incorrect information. Which term describes this issue?

  1. Model drift
  2. Concept drift
  3. Data leakage
  4. Hallucination

Question 4

A company needs to share a dataset with a third-party provider. The provider will use the dataset to create an ML model. Some fields in the dataset contain personally identifiable information (PII). The company needs a solution to share this dataset without exposing PII. Which solution will meet these requirements?

  1. Apply data masking to all fields in the dataset.
  2. Apply data masking to the fields that contain PII in the dataset.
  3. Apply data encryption to all fields in the dataset.
  4. Apply data labeling to the fields that contain PII in the dataset.

Question 5

An AI practitioner is building a model. The AI practitioner collects data for the model. Which step should the AI practitioner perform next?

  1. Hyperparameter tuning
  2. Model evaluation
  3. Data preprocessing
  4. Model drift monitoring