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AIF-C01 Practice Questions

AWS Certified AI Practitioner Exam

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Total Questions : 365

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Question # 91

A financial company uses a generative AI model to assign credit limits to new customers. The company wants to make the decision-making process of the model more transparent to its customers.

Options:

A.  

Use a rule-based system instead of an ML model.

B.  

Apply explainable AI techniques to show customers which factors influenced the model's decision.

C.  

Develop an interactive UI for customers and provide clear technical explanations about the system.

D.  

Increase the accuracy of the model to reduce the need for transparency.

Discussion 0
Question # 92

A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VP

C.  

To meet regulatory compliance standards, the VPC is not allowed access to any internet traffic.

Which AWS service or feature will meet these requirements?

Options:

A.  

AWS PrivateLink

B.  

Amazon Macie

C.  

Amazon CloudFront

D.  

Internet gateway

Discussion 0
Question # 93

A company wants to implement a generative AI assistant to provide consistent responses to various phrasings of user questions.

Which advantages can generative AI provide in this use case?

Options:

A.  

Low latency and high throughput

B.  

Adaptability and responsiveness

C.  

Deterministic outputs and fixed responses

D.  

Hardware acceleration and GPU optimization

Discussion 0
Question # 94

A company wants to develop an Al application to help its employees check open customer claims, identify details for a specific claim, and access documents for a claim. Which solution meets these requirements?

Options:

A.  

Use Agents for Amazon Bedrock with Amazon Fraud Detector to build the application.

B.  

Use Agents for Amazon Bedrock with Amazon Bedrock knowledge bases to build the application.

C.  

Use Amazon Personalize with Amazon Bedrock knowledge bases to build the application.

D.  

Use Amazon SageMaker AI to build the application by training a new ML model.

Discussion 0
Question # 95

A company is creating a model to label credit card transactions. The company has a large volume of sample transaction data to train the model. Most of the transaction data is unlabeled. The data does not contain confidential information. The company needs to obtain labeled sample data to fine-tune the model.

Options:

A.  

Run batch inference jobs on the unlabeled data

B.  

Run an Amazon SageMaker AI training job that uses the PyTorch Distributed library to label data

C.  

Use an Amazon SageMaker Ground Truth labeling job with Amazon Mechanical Turk workers

D.  

Use an optical character recognition model trained on labeled samples to label unlabeled samples

E.  

Run an Amazon SageMaker AI labeling job

Discussion 0
Question # 96

A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company needs the LLM to produce more consistent responses to the same input prompt.

Which adjustment to an inference parameter should the company make to meet these requirements?

Options:

A.  

Decrease the temperature value

B.  

Increase the temperature value

C.  

Decrease the length of output tokens

D.  

Increase the maximum generation length

Discussion 0
Question # 97

Which AWS service or feature can help an AI development team quickly deploy and consume a foundation model (FM) within the team's VPC?

Options:

A.  

Amazon Personalize

B.  

Amazon SageMaker JumpStart

C.  

PartyRock, an Amazon Bedrock Playground

D.  

Amazon SageMaker endpoints

Discussion 0
Question # 98

A company's large language model (LLM) is experiencing hallucinations.

How can the company decrease hallucinations?

Options:

A.  

Set up Agents for Amazon Bedrock to supervise the model training.

B.  

Use data pre-processing and remove any data that causes hallucinations.

C.  

Decrease the temperature inference parameter for the model.

D.  

Use a foundation model (FM) that is trained to not hallucinate.

Discussion 0
Question # 99

Which option is a disadvantage of using generative AI models in production systems?

Options:

A.  

Possible high accuracy and reliability

B.  

Deterministic and consistent behavior

C.  

Negligible computational resource requirements

D.  

Hallucinations and inaccuracies

Discussion 0
Question # 100

A company uses foundation models (FMs) to automate daily tasks. An AI practitioner is creating system instructions that include context relevant to the tasks. The AI practitioner wants to save and reuse the instructions in daily interactions with FMs in Amazon Bedrock.

Which Amazon Bedrock solution will meet these requirements?

Options:

A.  

Knowledge Bases

B.  

Guardrails

C.  

Playgrounds

D.  

Prompt management

Discussion 0
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