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AIF-C01 Practice Questions

AWS Certified AI Practitioner Exam

Last Update 10 hours ago
Total Questions : 365

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Question # 81

A company trains image and text generation models on Amazon SageMaker AI. The company releases the models by using Amazon Bedrock. The company must retain a tamper-proof, queryable record of every API call from SageMaker AI, Amazon Bedrock, and AWS Identity and Access Management (IAM).

Which AWS service will meet these requirements?

Options:

A.  

AWS Trusted Advisor

B.  

Amazon Macie

C.  

AWS CloudTrail Lake

D.  

Amazon Inspector

Discussion 0
Question # 82

Which task describes a use case for intelligent document processing (IDP)?

Options:

A.  

Predict fraudulent transactions.

B.  

Personalize product offerings.

C.  

Analyze user feedback and perform sentiment analysis.

D.  

Automatically extract and format data from scanned files.

Discussion 0
Question # 83

An AI practitioner is using a large language model (LLM) to create content for marketing campaigns. The generated content sounds plausible and factual but is incorrect.

Which problem is the LLM having?

Options:

A.  

Data leakage

B.  

Hallucination

C.  

Overfitting

D.  

Underfitting

Discussion 0
Question # 84

A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks.

Which ML strategy meets these requirements?

Options:

A.  

Increase the number of epochs.

B.  

Use transfer learning.

C.  

Decrease the number of epochs.

D.  

Use unsupervised learning.

Discussion 0
Question # 85

A company has trained a custom foundation model (FM). The company wants to evaluate the toxicity of the FM's outputs by using human reviewers. The company has a team of internal reviewers. The company also wants to include external teams of reviewers to scale operations.

Which AWS service or feature will meet these requirements?

Options:

A.  

Amazon Bedrock Agents

B.  

Amazon Comprehend Custom

C.  

Amazon SageMaker JumpStart

D.  

Amazon SageMaker Ground Truth

Discussion 0
Question # 86

A company wants to develop a large language model (LLM) application by using Amazon Bedrock and customer data that is uploaded to Amazon S3. The company's security policy states that each team can access data for only the team's own customers.

Which solution will meet these requirements?

Options:

A.  

Create an Amazon Bedrock custom service role for each team that has access to only the team's customer data.

B.  

Create a custom service role that has Amazon S3 access. Ask teams to specify the customer name on each Amazon Bedrock request.

C.  

Redact personal data in Amazon S3. Update the S3 bucket policy to allow team access to customer data.

D.  

Create one Amazon Bedrock role that has full Amazon S3 access. Create IAM roles for each team that have access to only each team's customer folders.

Discussion 0
Question # 87

Sentiment analysis is a subset of which broader field of AI?

Options:

A.  

Computer vision

B.  

Robotics

C.  

Natural language processing (NLP)

D.  

Time series forecasting

Discussion 0
Question # 88

Which functionality does Amazon SageMaker Clarify provide?

Options:

A.  

Integrates a Retrieval Augmented Generation (RAG) workflow

B.  

Monitors the quality of ML models in production

C.  

Documents critical details about ML models

D.  

Identifies potential bias during data preparation

Discussion 0
Question # 89

A company wants to develop an AI assistant for employees to query internal data.

Which AWS service will meet this requirement?

Options:

A.  

Amazon Rekognition

B.  

Amazon Textract

C.  

Amazon Lex

D.  

Amazon Q Business

Discussion 0
Question # 90

A company uses Amazon Bedrock to implement a generative AI solution. The AI solution provides customers with personalized product recommendations.

The company wants to evaluate the impact of the AI solution on sales revenue.

Which metric will meet these requirements?

Options:

A.  

Cross-domain performance

B.  

Solution efficiency

C.  

User satisfaction

D.  

Conversion rate

Discussion 0
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