Free AIF-C01 Practice Exam Questions Online

Why Amazon AIF-C01 Practice Exam Questions?

Ready to level up your Amazon AIF-C01 exam study? Just TheExamsLab AIF-C01 practice tests free.

AIF-C01 exam questions are expertly crafted practice tests designed to simulate the real Amazon certification exam environment and help you assess your knowledge and figure out where you are lacking. From our free AWS Certified AI Practitioner AIF-C01 practice exam, you will feel secure in passing any question type or time limit. TheExamsLab offers the AIF-C01 exam questions 2024. Don’t settle or do it half-heartedly get the best and invest in the best what you want is what you get.

Page: 1 / 92

Total 460 Questions | Updated On: Nov 21, 2024

Add To Cart

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

Which AWS service is specifically designed for converting medical speech to text, ensuring compliance with healthcare regulations such as HIPAA?

A : Amazon Rekognition

B : Amazon Polly

C : Amazon Transcribe medical

D : Amazon Transcribe

Answer: C

Question 3

A company is using Amazon Bedrock and it wants to set an upper limit on the number of tokens returned in the model's response.Which of the following inference parameters would you recommend for the given use case?

A : Response length

B : Stop sequence

C : Top P

D : Top K

Answer: A

Question 4

Which of the following are examples of supervised learning? (Select two)

A : Neural network

B : Document classification

C : Association rule learning

D : Clustering

E : Linear regression

Answer: A,E

Question 5

An insurance company is transitioning to AWS Cloud and wants to use Amazon Bedrock for product recommendations. The company wants to supplement organization-specific information to the underlying Foundation Model (FM).

Which of the following represents the best-fit solution for the given use case?

A : Implement Reinforcement Learning from Human Feedback (RLHF) in Amazon Bedrock by leveraging the contextual information from the company's private data

B : Use Knowledge Bases for Amazon Bedrock to supplement contextual information from the company's private data to the FM using Reinforcement Learning from Human Feedback (RLHF)

C : Use Knowledge Bases for Amazon Bedrock to supplement contextual information from the company's private data to the FM using Retrieval Augmented Generation (RAG)

D : Fine-tune the base Foundation Model (FM) used by Amazon Bedrock by leveraging the contextual information from the company's private data

Answer: C

Page: 1 / 92

Total 460 Questions | Updated On: Nov 21, 2024

Add To Cart