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Free AWS Certified AI Practitioner Exam Practice Questions

Question # 81

A company plans to use a generative AI model to provide real-time service quotes to users.

Which criteria should the company use to select the correct model for this use case?

Options:

A.  

Model size

B.  

Training data quality

C.  

General-purpose use and high-powered GPU availability

D.  

Model latency and optimized inference speed

Discussion 0
Question # 82

An AI practitioner has prepared a dataset for training models in Amazon SageMaker AI. The AI practitioner wants to share the dataset within the company so that future employees can discover and reuse the dataset.

Which solution will meet these requirements?

Options:

A.  

Copy the training dataset to Amazon Bedrock Knowledge Bases.

B.  

Upload the training data to a shared SageMaker notebook instance.

C.  

Store the training data in SageMaker Feature Store.

D.  

Upload the training data to AWS Data Exchange.

Discussion 0
Question # 83

A company is integrating a model from Amazon Bedrock into the company ' s application. During development, the company wants to receive an alert if the Amazon Bedrock request usage and response usage exceed a specific threshold.

Which solution meets these requirements?

Options:

A.  

Configure an Amazon CloudWatch alarm to notify the company if the InputTokenCount and OutputTokenCount metrics exceed the threshold.

B.  

Configure a scheduled AWS Lambda function to notify the company if the Amazon Bedrock InvocationLatency metric exceeds the threshold.

C.  

Configure model invocation logging to Amazon CloudWatch Logs with a metric filter for prompts that are larger than the threshold.

D.  

Configure an AWS Budgets monthly cost budget for all AWS services to alert the company for the threshold.

Discussion 0
Question # 84

A company wants to use a large language model (LLM) to generate product descriptions. The company wants to give the model example descriptions that follow a format.

Which prompt engineering technique will generate descriptions that match the format?

Options:

A.  

Zero-shot prompting

B.  

Chain-of-thought prompting

C.  

One-shot prompting

D.  

Few-shot prompting

Discussion 0
Question # 85

A company is building a custom AI solution in Amazon SageMaker Studio to analyze financial transactions for fraudulent activity in real time. The company needs to ensure that the connectivity from SageMaker Studio to Amazon Bedrock traverses the company’s VP

C.  

Which solution meets these requirements?

Options:

A.  

Configure AWS Identity and Access Management (IAM) roles and policies for SageMaker Studio to access Amazon Bedrock.

B.  

Configure Amazon Macie to proxy requests from SageMaker Studio to Amazon Bedrock.

C.  

Configure AWS PrivateLink endpoints for the Amazon Bedrock API endpoints in the VPC that SageMaker Studio is connected to.

D.  

Configure a new VPC for the Amazon Bedrock usage. Register the VPCs as peers.

Discussion 0
Question # 86

A company wants to detect unauthorized API actions for foundation models (FMs) in Amazon Bedrock.

Which solution meets these requirements?

Options:

A.  

Configure AWS CloudTrail to monitor API activity.

B.  

Use AWS Trusted Advisor to monitor model input and output data.

C.  

Create Amazon QuickSight dashboards to monitor row-level safety.

D.  

Monitor user access by using Amazon Personalize.

Discussion 0
Question # 87

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 # 87

Options:

Discussion 0
Question # 88

A medical company wants to develop an AI application that can access structured patient records, extract relevant information, and generate concise summaries.

Which solution will meet these requirements?

Options:

A.  

Use Amazon Comprehend Medical to extract relevant medical entities and relationships. Apply rule-based logic to structure and format summaries.

B.  

Use Amazon Personalize to analyze patient engagement patterns. Integrate the output with a general purpose text summarization tool.

C.  

Use Amazon Textract to convert scanned documents into digital text. Design a keyword extraction system to generate summaries.

D.  

Implement Amazon Kendra to provide a searchable index for medical records. Use a template-based system to format summaries.

Discussion 0
Question # 89

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 # 90

A company wants to use a large language model (LLM) to develop a conversational agent. The company needs to prevent the LLM from being manipulated with common prompt engineering techniques to perform undesirable actions or expose sensitive information.

Which action will reduce these risks?

Options:

A.  

Create a prompt template that teaches the LLM to detect attack patterns.

B.  

Increase the temperature parameter on invocation requests to the LLM.

C.  

Avoid using LLMs that are not listed in Amazon SageMaker.

D.  

Decrease the number of input tokens on invocations of the LLM.

Discussion 0

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