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Free Amazon Web Services AIF-C01 Practice Exam with Questions & Answers

Questions 1

A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model. The company needs to perform analysis on internal data and external data.

Which solution will meet these requirements?

Options:
A.

Store the data in Amazon S3. Create ML models and demand forecast predictions by using Amazon SageMaker built-in algorithms that use the data from Amazon S3.

B.

Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.

C.

Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.

D.

Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from SageMaker Canvas.

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Questions 2

A company that uses multiple ML models wants to identify changes in original model quality so that the company can resolve any issues.

Which AWS service or feature meets these requirements?

Options:
A.

Amazon SageMaker JumpStart

B.

Amazon SageMaker HyperPod

C.

Amazon SageMaker Data Wrangler

D.

Amazon SageMaker Model Monitor

Questions 3

A hospital developed an AI system to provide personalized treatment recommendations for patients. The AI system must provide the rationale behind the recommendations and make the insights accessible to doctors and patients.

Which human-centered design principle does this scenario present?

Options:
A.

Explainability

B.

Privacy and security

C.

Fairness

D.

Data governance

Questions 4

A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company's employees prefer.

What should the company do to meet these requirements?

Options:
A.

Evaluate the models by using built-in prompt datasets.

B.

Evaluate the models by using a human workforce and custom prompt datasets.

C.

Use public model leaderboards to identify the model.

D.

Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models.

Questions 5

A student at a university is copying content from generative AI to write essays.

Which challenge of responsible generative AI does this scenario represent?

Options:
A.

Toxicity

B.

Hallucinations

C.

Plagiarism

D.

Privacy

Questions 6

A company wants to fine-tune an ML model that is hosted on Amazon Bedrock. The company wants to use its own sensitive data that is stored in private databases in a VPC. The data needs to stay within the company's private network.

Which solution will meet these requirements?

Options:
A.

Restrict access to Amazon Bedrock by using an AWS Identity and Access Management (IAM) service role.

B.

Restrict access to Amazon Bedrock by using an AWS Identity and Access Management (IAM) resource policy.

C.

Use AWS PrivateLink to connect the VPC and Amazon Bedrock.

D.

Use AWS Key Management Service (AWS KMS) keys to encrypt the data.

Questions 7

A company has built a solution by using generative AI. The solution uses large language models (LLMs) to translate training manuals from English into other languages. The company wants to evaluate the accuracy of the solution by examining the text generated for the manuals.

Which model evaluation strategy meets these requirements?

Options:
A.

Bilingual Evaluation Understudy (BLEU)

B.

Root mean squared error (RMSE)

C.

Recall-Oriented Understudy for Gisting Evaluation (ROUGE)

D.

F1 score

Questions 8

A company is using a pre-trained large language model (LLM) to extract information from documents. The company noticed that a newer LLM from a different provider is available on Amazon Bedrock. The company wants to transition to the new LLM on Amazon Bedrock.

What does the company need to do to transition to the new LLM?

Options:
A.

Create a new labeled dataset

B.

Perform feature engineering.

C.

Adjust the prompt template.

D.

Fine-tune the LLM.

Questions 9

Which component of Amazon Bedrock Studio can help secure the content that AI systems generate?

Options:
A.

Access controls

B.

Function calling

C.

Guardrails

D.

Knowledge bases

Questions 10

A financial institution is building an AI solution to make loan approval decisions by using a foundation model (FM). For security and audit purposes, the company needs the AI solution's decisions to be explainable.

Which factor relates to the explainability of the AI solution's decisions?

Options:
A.

Model complexity

B.

Training time

C.

Number of hyperparameters

D.

Deployment time

Exam Code: AIF-C01
Certification Provider: Amazon Web Services
Exam Name: AWS Certified AI Practitioner Exam(AI1-C01)
Last Update: Jul 13, 2025
Questions: 177