Skip to main content
Artificial Intelligence ⭐ Featured

AWS Certified AI Practitioner (AIF-C01) - 333 Questions

By Webmaster Certland ❤️ 0 likes

Prepare for the AWS Certified AI Practitioner (AIF-C01) exam with 333 practice questions covering all 5 official domains. This question bank validates your understanding of artificial intelligence and machine learning concepts on AWS, including generative AI, foundation models, and responsible AI practices. Topics include AI/ML fundamentals, AWS AI services such as Amazon SageMaker, Amazon Bedrock, and Amazon Rekognition, prompt engineering, and AI security. Each question is mapped to an official exam domain so you can identify knowledge gaps and focus your study. Ideal for IT professionals, cloud practitioners, and developers looking to demonstrate AI expertise on the AWS platform.

👁️ Free Preview (5 of 333 questions)

1. Which prompting attack directly exposes the configured behavior of a large language model (LLM)?

A Prompted persona switches
B Exploiting friendliness and trust
C Ignoring the prompt template
D Extracting the prompt template

2. A company uses Amazon Bedrock for its generative AI application. The company wants to use Amazon Bedrock Guardrails to detect and filter harmful user inputs and model-generated outputs. Which content categories can the guardrails filter? (Choose two.)

A Hate
B Politics
C Violence
D Gambling
E Religion

3. An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data. How should the AI practitioner prevent responses based on confidential data?

A Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.
B Mask the confidential data in the inference responses by using dynamic data masking.
C Encrypt the confidential data in the inference responses by using Amazon SageMaker.
D Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).

4. A social media company wants to prevent users from posting discriminatory content on the company's application. The company wants to use Amazon Bedrock as part of the solution. How can the company use Amazon Bedrock to meet these requirements?

A Give users the ability to interact based on user preferences.
B Block interactions related to predefined topics.
C Restrict user conversations to predefined topics.
D Provide a variety of responses to select from for user engagement.

5. A company wants to assess internet quality in remote areas of the world. The company needs to collect internet speed data and store the data in Amazon RDS. The company will analyze internet speed variation throughout each day. The company wants to create an AI model to predict potential internet disruptions. Which type of data should the company collect for this task?

A Tabular data
B Text data
C Time series data
D Audio data

Want to test yourself for real?

Create a free account and run our exam simulation engine.

Free No credit card
  • Simulation engine
  • Up to 10 questions per attempt
  • Score & basic stats
Create free account Already have an account? Sign in
Best
Premium 7-day trial
  • All 333 questions
  • Detailed explanations
  • Smart Practice + Focus Mode
⭐ Start 7-day free trial

Related Exams

Discussion

No comments yet. Be the first to start the discussion!

Sign in to join the discussion.