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AIF-C01 AWS Certified AI Practitioner Exam is now Stable and With Pass Result | Test Your Knowledge for Free

AIF-C01 Practice Questions

AWS Certified AI Practitioner Exam

Last Update 3 days ago
Total Questions : 289

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 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 # 1

A company wants to develop a solution that uses generative AI to create content for product advertisements, Including sample images and slogans.

Select the correct model type from the following list for each action. Each model type should be selected one time. (Select THRE

E.  

)

• Diffusion model

• Object detection model

• Transformer-based model

Question # 1

Options:

Discussion 0
Question # 2

A company uses a third-party model on Amazon Bedrock to analyze confidential documents. The company is concerned about data privacy. Which statement describes how Amazon Bedrock protects data privacy?

Options:

A.  

User inputs and model outputs are anonymized and shared with third-party model providers.

B.  

User inputs and model outputs are not shared with any third-party model providers.

C.  

User inputs are kept confidential, but model outputs are shared with third-party model providers.

D.  

User inputs and model outputs are redacted before the inputs and outputs are shared with third-party model providers.

Discussion 0
Question # 3

A company wants to build and deploy ML models on AWS without writing any code.

Which AWS service or feature meets these requirements?

Options:

A.  

Amazon SageMaker Canvas

B.  

Amazon Rekognition

C.  

AWS DeepRacer

D.  

Amazon Comprehend

Discussion 0
Question # 4

A company has a database of petabytes of unstructured data from internal sources. The company wants to transform this data into a structured format so that its data scientists can perform machine learning (ML) tasks.

Which service will meet these requirements?

Options:

A.  

Amazon Lex

B.  

Amazon Rekognition

C.  

Amazon Kinesis Data Streams

D.  

AWS Glue

Discussion 0
Question # 5

A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls.

Which solution meets these requirements?

Options:

A.  

Build a conversational chatbot by using Amazon Lex.

B.  

Transcribe call recordings by using Amazon Transcribe.

C.  

Extract information from call recordings by using Amazon SageMaker Model Monitor.

D.  

Create classification labels by using Amazon Comprehend.

Discussion 0
Question # 6

An AI practitioner is developing a prompt for large language models (LLMs) in Amazon Bedrock. The AI practitioner must ensure that the prompt works across all Amazon Bedrock LLMs.

Which characteristic can differ across the LLMs?

Options:

A.  

Maximum token count

B.  

On-demand inference parameter support

C.  

The ability to control model output randomness

D.  

Compatibility with Amazon Bedrock Guardrails

Discussion 0
Question # 7

A healthcare company wants to create a model to improve disease diagnostics by analyzing patient voices. The company has recorded hundreds of patient voices for this project. The company is currently filtering voice recordings according to duration and language.

Options:

A.  

Data collection

B.  

Data preprocessing

C.  

Feature engineering

D.  

Model training

Discussion 0
Question # 8

A financial company uses AWS to host its generative AI models. The company must generate reports to show adherence to international regulations for handling sensitive customer data.

Options:

A.  

Amazon Macie

B.  

AWS Artifact

C.  

AWS Secrets Manager

D.  

AWS Config

Discussion 0
Question # 9

A company wants to deploy a conversational chatbot to answer customer questions. The chatbot is based on a fine-tuned Amazon SageMaker JumpStart model. The application must comply with multiple regulatory frameworks.

Which capabilities can the company show compliance for? (Select TWO.)

Options:

A.  

Auto scaling inference endpoints

B.  

Threat detection

C.  

Data protection

D.  

Cost optimization

E.  

Loosely coupled microservices

Discussion 0
Question # 10

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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