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AWS AI Practitioner AIF-C01 Free Practice Questions

Prepare for the AWS Certified AI Practitioner exam with free AIF-C01 practice questions, answer explanations, and a clear exam domain breakdown.

The AWS AI Practitioner AIF-C01 exam is Amazon's entry-level AI certification. It rewards practical knowledge of AI and ML concepts, AWS AI services, generative AI, and responsible AI. Use the free questions below to test your readiness, then close gaps with the official AWS exam guide and free AWS Skill Builder courses.

What the AIF-C01 exam covers

AWS publishes the exam guide with five domains:

AI and ML concepts: 20%

Generative AI: 24%

Applications of AI: 28%

Responsible AI: 14%

Security and compliance: 14%

The exam is 65 scored questions, 100 minutes, and a passing score is 700 out of 1000. You can verify the latest format in the [AWS Certified AI Practitioner exam guide](https://aws.amazon.com/certification/certified-ai-practitioner/).

Free AIF-C01 practice questions

These questions model the real exam style. Answers follow the list.

Question 1

A company wants to answer customer questions from a large set of internal PDF knowledge articles. Which AWS service should they use first?

A. Amazon Polly

B. Amazon Kendra

C. Amazon Rekognition

D. Amazon Transcribe

Question 2

Which AWS service provides access to multiple foundation models through a single API?

A. Amazon SageMaker

B. Amazon Bedrock

C. Amazon Comprehend

D. Amazon Lex

Question 3

A developer needs text embedding vectors for semantic search. Which Amazon Bedrock model family is designed for that task?

A. Amazon Titan Text

B. Amazon Titan Embeddings

C. Amazon Rekognition

D. Amazon Translate

Question 4

Which AWS service discovers, classifies, and protects sensitive data stored in Amazon S3?

A. Amazon Macie

B. AWS Shield

C. Amazon GuardDuty

D. AWS WAF

Question 5

A support team wants to transcribe recorded customer calls and analyze sentiment. Which pair of AWS services should be used?

A. Amazon Polly plus Amazon Comprehend

B. Amazon Transcribe plus Amazon Comprehend

C. Amazon Lex plus Amazon Rekognition

D. Amazon Kendra plus Amazon Textract

Question 6

Which approach is most effective at reducing hallucinations in a generative AI application that must answer from proprietary company documents?

A. Raising temperature to maximum

B. Retrieval Augmented Generation (RAG)

C. Removing output filters

D. Adding more random tokens

Question 7

Which AWS capability applies safeguards to generative AI interactions, such as blocked topics and content filters?

A. Amazon Bedrock Guardrails

B. Amazon Inspector

C. AWS Config

D. Amazon Detective

Answers and explanations

1. **B. Amazon Kendra.** Kendra is an intelligent search service that can index unstructured documents and return natural-language answers. Polly is text-to-speech, Rekognition is image and video analysis, and Transcribe is speech-to-text.

2. **B. Amazon Bedrock.** Bedrock is a managed service that exposes foundation models from Amazon and other providers through an API. SageMaker is a broader ML platform, Comprehend is text analytics, and Lex is conversational AI.

3. **B. Amazon Titan Embeddings.** Embedding models convert text into vectors for semantic search. Amazon Titan Text generates text; Rekognition and Translate do not produce text embeddings.

4. **A. Amazon Macie.** Macie uses machine learning to discover and protect sensitive data such as PII in S3. Shield, GuardDuty, and WAF focus on network threat protection or monitoring.

5. **B. Amazon Transcribe plus Amazon Comprehend.** Transcribe converts speech to text; Comprehend performs sentiment analysis. Polly is text-to-speech, Lex builds bots, Rekognition handles images/video, and Textract extracts text from documents.

6. **B. Retrieval Augmented Generation (RAG).** RAG grounds the model with trusted documents at query time, reducing fabricated answers. Raising temperature increases randomness, removing filters is unsafe, and adding random tokens does not improve accuracy.

7. **A. Amazon Bedrock Guardrails.** Guardrails apply content policies, denied topics, and PII redaction to foundation model prompts and responses. Inspector, Config, and Detective are security/compliance tools, not generative AI safeguards.

How to use these questions

If you miss two or more questions, review that domain. For example, questions 2, 3, and 7 map to generative AI and AWS AI services. Use the AWS exam guide and the free AWS Skill Builder learning plans. Then retest with a larger question bank that tracks readiness by domain.

Need more reps? Sapior's free AIF-C01 practice question bank includes domain-level readiness tracking.

AWS AI Practitioner AIF-C01 Free Practice Questions