Free Amazon AIF-C01 Exam Questions

Become Amazon Certified with updated AIF-C01 exam questions and correct answers

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Total 737 Questions | Updated On: Jun 16, 2026

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Question 1

A company needs to monitor the performance of its ML systems by using a highly scalable AWS service. Which AWS service meets these requirements?

A : Amazon CloudWatch

B : AWS CloudTrail

C : AWS Trusted Advisor

D : AWS Config

Answer: A

Question 2

A company uses foundation models (FMs) to automate daily tasks. An AI practitioner is creatingsystem instructions that include context relevant to the tasks. The AI practitioner wants to save andreuse the instructions in daily interactions with FMs in Amazon Bedrock.Which Amazon Bedrock solution will meet these requirements?

A : Knowledge Bases

B : Guardrails

C : Playgrounds

D : Prompt management

Answer: D

Question 3

Which of the following is correct regarding underfitting/overfitting in machine learning?

A : Underfit models experience low bias, whereas, overfit models experience high variance

B : Underfit models experience high bias, whereas, overfit models experience high variance

C : Underfit models experience low bias, whereas, overfit models experience low variance

D : Underfit models experience high bias, whereas, overfit models experience low variance

Answer: B

Question 4

A financial company is developing a generative AI application for loan approval decisions. Thecompany needs the application output to be responsible and fair.

A : Review the training data to check for biases. Include data from all demographics in the training data.

B : Use a deep learning model with many hidden layers.

C : Keep the model's decision-making process a secret to protect proprietary algorithms.

D : Continuously monitor the model's performance on a static test dataset.

Answer: A

Question 5

A bank has fine-tuned a large language model (LLM) to expedite the loan approval process. During an external audit of the model, the company discovered that the model was approving loans at a faster pace for a specific demographic than for other demographics. How should the bank fix this issue MOST cost-effectively?

A : Include more diverse training data. Fine-tune the model again by using the new data.

B : Use Retrieval Augmented Generation (RAG) with the fine-tuned model.

C : Use AWS Trusted Advisor checks to eliminate bias.

D : Pre-train a new LLM with more diverse training data.

Answer: A

Page: 1 / 148

Total 737 Questions | Updated On: Jun 16, 2026

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