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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 1

A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts.
An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders.
What should the AI practitioner include in the report to meet the transparency and explainability requirements?

  1. A. Code for model training
  2. B. Partial dependence plots (PDPs)
  3. C. Sample data for training
  4. D. Model convergence tables
Show answer

Answer

B

Question 2

A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents.
Which solution meets these requirements?

  1. A. Build an automatic named entity recognition system.
  2. B. Create a recommendation engine.
  3. C. Develop a summarization chatbot.
  4. D. Develop a multi-language translation system.
Show answer

Answer

C

Question 3

A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects the output.
Which ML algorithm meets these requirements?

  1. A. Decision trees
  2. B. Linear regression
  3. C. Logistic regression
  4. D. Neural networks
Show answer

Answer

A

Question 4

A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.
Which evaluation metric should the company use to measure the model's performance?

  1. A. R-squared score
  2. B. Accuracy
  3. C. Root mean squared error (RMSE)
  4. D. Learning rate
Show answer

Answer

B

Question 5

A company is using a pre-trained large language model (LLM) to build a chatbot for product recommendations. The company needs the LLM outputs to be short and written in a specific language.
Which solution will align the LLM response quality with the company's expectations?

  1. A. Adjust the prompt.
  2. B. Choose an LLM of a different size.
  3. C. Increase the temperature.
  4. D. Increase the Top K value.
Show answer

Answer

A

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