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AIF-C01 Practice Questions

AWS Certified AI Practitioner Exam

Last Update 3 days ago
Total Questions : 393

Dive into our fully updated and stable AIF-C01 practice test platform, featuring all the latest AWS Certified AI Practitioner exam questions added this week. Our preparation tool is more than just a Amazon Web Services study aid; it's a strategic advantage.

Our free AWS Certified AI Practitioner practice questions crafted to reflect the domains and difficulty of the actual exam. The detailed rationales explain the 'why' behind each answer, reinforcing key concepts about AIF-C01. Use this test to pinpoint which areas you need to focus your study on.

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Question # 21

A company has guidelines for data storage and deletion.

Which data governance strategy does this describe?

Options:

A.  

Data de-identification

B.  

Data quality standards

C.  

Data retention

D.  

Log storage

Discussion 0
Question # 22

A company is building a customer service chatbot. The company wants the chatbot to improve its responses by learning from past interactions and online resources.

Which AI learning strategy provides this self-improvement capability?

Options:

A.  

Supervised learning with a manually curated dataset of good responses and bad responses

B.  

Reinforcement learning with rewards for positive customer feedback

C.  

Unsupervised learning to find clusters of similar customer inquiries

D.  

Supervised learning with a continuously updated FAQ database

Discussion 0
Question # 23

A company has deployed an ML model. The company wants to provide external customers with secure access to the model through the customers ' own applications.

Which solution will meet these requirements?

Options:

A.  

Use a custom script in the customers ' application for authentication.

B.  

Store model credentials and share them with the customers directly for authentication.

C.  

Create a secure API endpoint that customers can use.

D.  

Embed the model directly into the customers ' applications.

Discussion 0
Question # 24

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?

Options:

A.  

Supervised learning

B.  

Unsupervised learning

C.  

Reinforcement learning

D.  

Reinforcement learning from human feedback (RLHF)

Discussion 0
Question # 25

A company wants to develop an educational game where users answer questions such as the following: " A jar contains six red, four green, and three yellow marbles. What is the probability of choosing a green marble from the jar? "

Which solution meets these requirements with the LEAST operational overhead?

Options:

A.  

Use supervised learning to create a regression model that will predict probability.

B.  

Use reinforcement learning to train a model to return the probability.

C.  

Use code that will calculate probability by using simple rules and computations.

D.  

Use unsupervised learning to create a model that will estimate probability density.

Discussion 0
Question # 26

A company is developing an editorial assistant application that uses generative AI. During the pilot phase, usage is low and application performance is not a concern. The company cannot predict application usage after the application is fully deployed and wants to minimize application costs.

Which solution will meet these requirements?

Options:

A.  

Use GPU-powered Amazon EC2 instances.

B.  

Use Amazon Bedrock with Provisioned Throughput.

C.  

Use Amazon Bedrock with On-Demand Throughput.

D.  

Use Amazon SageMaker JumpStart.

Discussion 0
Question # 27

A media company wants to analyze viewer behavior and demographics to recommend personalized content. The company wants to deploy a customized ML model in its production environment. The company also wants to observe if the model quality drifts over time.

Which AWS service or feature meets these requirements?

Options:

A.  

Amazon Rekognition

B.  

Amazon SageMaker Clarify

C.  

Amazon Comprehend

D.  

Amazon SageMaker Model Monitor

Discussion 0
Question # 28

Which type of AI model makes numeric predictions?

Options:

A.  

Diffusion

B.  

Regression

C.  

Transformer

D.  

Multi-modal

Discussion 0
Question # 29

Why does overfilting occur in ML models?

Options:

A.  

The training dataset does not reptesent all possible input values.

B.  

The model contains a regularization method.

C.  

The model training stops early because of an early stopping criterion.

D.  

The training dataset contains too many features.

Discussion 0
Question # 30

A company needs to log all requests made to its Amazon Bedrock API. The company must retain the logs securely for 5 years at the lowest possible cost.

Which combination of AWS service and storage class meets these requirements? (Select TWO.)

Options:

A.  

AWS CloudTrail

B.  

Amazon CloudWatch

C.  

AWS Audit Manager

D.  

Amazon S3 Intelligent-Tiering

E.  

Amazon S3 Standard

Discussion 0
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