Free Amazon AIF-C01 Exam Questions

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

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Total 472 Questions | Updated On: Apr 19, 2025

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Question 1

A security company is evaluating Amazon Rekognition to enhance its Machine Learning (ML) capabilities. However, the data science team needs to identify scenarios where Amazon Rekognition may not be the most suitable solution. Understanding these limitations will help the team select the right tools for different aspects of their security system.Given this context, which of the following use cases is NOT the right fit for Amazon Rekognition?

A : Celebrity recognition

B : Enable multilingual user experiences in your applications

C : Face-based user identity verification

D : Searchable media libraries

Answer: B

Question 2

A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket. The data is encrypted with Amazon S3 managed keys (SSE-S3).

The FM encounters a failure when attempting to access the S3 bucket data.

Which solution will meet these requirements?

A : Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.

B : Set the access permissions for the S3 buckets to allow public access to enable access over the internet.

C : Use prompt engineering techniques to tell the model to look for information in Amazon S3.

D : Ensure that the S3 data does not contain sensitive information.

Answer: A

Question 3

Which statement best defines the use of MLflow with Amazon SageMaker ?

A : Label data using human-in-the-loop

B : Manage machine learning experiments

C : Perform automatic model tuning

D : Leverage no-code ML

Answer: B

Question 4

A company is deploying a generative AI model on Amazon Bedrock and needs to reduce the cost of usage while using prompt examples of up to 10 sample tasks as part of each input.Which approach would be the most effective in minimizing the costs associated with model usage?

A : The company should reduce the temperature inference parameter for the model

B : The company should reduce the number of tokens in the input

C : The company should reduce the top-P inference parameter for the model

D : The company should reduce the batch size while training the model

Answer: B

Question 5

Which of the following use cases is addressed by the Amazon Forecast service?

A : Recommendations tailored to a user’s profile, behavior, preferences, and history

B : Predict product demand to accurately vary inventory and pricing at different store locations

C : Design conversational solutions that respond to frequently asked questions for technical support, and HR benefits

D : Detect and categorize toxic audio and foster a safe and inclusive online environment

Answer: B

Page: 1 / 95

Total 472 Questions | Updated On: Apr 19, 2025

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