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AIF-C01 Exam Practice Questions

AWS Certified AI Practitioner

AIF-C01 English PDF practice questions: 488 questions in source order, with options supported by the source format, answers and available explanations. Access covers this exam only. One-time payment; no automatic renewal.

Exam overview

For technical and business candidates learning AI concepts, AWS use cases and responsible AI.

AWS has announced changes to language availability. Check the official page for affected languages and dates.

Exam code
AIF-C01
Official exam / credential
AWS Certified AI Practitioner
Exam format
Single-answer and multiple-response questions
Exam duration
90 minutes
Official exam questions
65 questions
Official exam languages
Arabic, English, French (France), Japanese, Korean, Portuguese (Brazil), Spanish (Latin America), Spanish (Spain), Simplified Chinese, Traditional Chinese

Official exam languages and practice-question file languages are listed separately. Confirm the exam version and available languages when booking with the provider.

Official sources: Provider reference
Information checked: 2026-10-20

Supported languages

  • English
  • Simplified Chinese
Try before you buy

First 20 practice questions

488 total questions

Questions follow the source order. Expand each answer to see its explanation.

Disclaimer: All questions on ExamPico are compiled from internet sources and are provided for study reference only.

Question 16

Question#16Topic1

A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls.
Which solution meets these requirements?

  1. A. Build a conversational chatbot by using Amazon Lex.
  2. B. Transcribe call recordings by using Amazon Transcribe.
  3. C. Extract information from call recordings by using Amazon SageMaker Model Monitor.
  4. D. Create classification labels by using Amazon Comprehend.
Show answer

Answer

B

Question 17

Question#17Topic1

A company has petabytes of unlabeled customer data to use for an advertisement campaign. The company wants to classify its customers into tiers to advertise and promote the company's products.
Which methodology should the company use to meet these requirements?

  1. A. Supervised learning
  2. B. Unsupervised learning
  3. C. Reinforcement learning
  4. D. Reinforcement learning from human feedback (RLHF)
Show answer

Answer

B

Question 18

Question#18Topic1

An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images.
Which type of FM should the AI practitioner use to power the search application?

  1. A. Multi-modal embedding model
  2. B. Text embedding model
  3. C. Multi-modal generation model
  4. D. Image generation model
Show answer

Answer

A

Question 19

Question#19Topic1

A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company's data.
Which strategy will successfully fine-tune the model?

  1. A. Provide labeled data with the prompt field and the completion field.
  2. B. Prepare the training dataset by creating a .txt file that contains multiple lines in .csv format.
  3. C. Purchase Provisioned Throughput for Amazon Bedrock.
  4. D. Train the model on journals and textbooks.
Show answer

Answer

A

Question 20

Question#20Topic1

A company wants to use AI to protect its application from threats. The AI solution needs to check if an IP address is from a suspicious source.
Which solution meets these requirements?

  1. A. Build a speech recognition system.
  2. B. Create a natural language processing (NLP) named entity recognition system.
  3. C. Develop an anomaly detection system.
  4. D. Create a fraud forecasting system.
Show answer

Answer

C

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