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Free AWS Certified AI Practitioner Exam Practice Questions

Question # 51

A medical company is customizing a foundation model (FM) for diagnostic purposes. The company needs the model to be transparent and explainable to meet regulatory requirements.

Which solution will meet these requirements?

Options:

A.  

Configure security and compliance by using Amazon Inspector.

B.  

Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify.

C.  

Encrypt and secure training data by using Amazon Macie.

D.  

Gather more data. Use Amazon Rekognition to add custom labels to the data.

Discussion 0
Question # 52

A company needs to use Amazon SageMaker AI for model training and inference. The company must comply with regulatory requirements to run SageMaker jobs in an isolated environment without internet access.

Which solution will meet these requirements?

Options:

A.  

Run SageMaker training and inference by using SageMaker Experiments.

B.  

Run SageMaker training and inference by using network isolation.

C.  

Encrypt the data at rest by using encryption for SageMaker geospatial capabilities.

D.  

Associate appropriate AWS Identity and Access Management (IAM) roles with the SageMaker jobs.

Discussion 0
Question # 53

A company wants to make a chatbot to help customers. The chatbot will help solve technical problems without human intervention.

The company chose a foundation model (FM) for the chatbot. The chatbot needs to produce responses that adhere to company tone.

Which solution meets these requirements?

Options:

A.  

Set a low limit on the number of tokens the FM can produce.

B.  

Use batch inferencing to process detailed responses.

C.  

Refine the prompt until the FM produces the desired responses.

D.  

Define a higher number for the temperature parameter.

Discussion 0
Question # 54

A company wants to use large language models (LLMs) to create a chatbot. The chatbot will assist customers with product inquiries, order tracking, and returns. The chatbot must be able to process text inputs and image inputs to generate responses.

Which AWS service meets these requirements?

Options:

A.  

Amazon Bedrock

B.  

Amazon Comprehend

C.  

Amazon Q

D.  

Amazon Rekognition

Discussion 0
Question # 55

A company is training a foundation model (FM). The company wants to increase the accuracy of the model up to a specific acceptance level.

Which solution will meet these requirements?

Options:

A.  

Decrease the batch size.

B.  

Increase the epochs.

C.  

Decrease the epochs.

D.  

Increase the temperature parameter.

Discussion 0
Question # 56

A company is using Amazon Bedrock to build a customer-facing AI assistant. The company wants to filter out harmful and offensive content. The company also wants to block customer personally identifiable information (PII) from appearing in the AI assistant ' s responses.

Which AWS solution will meet these requirements with the LEAST operational overhead?

Options:

A.  

Amazon Macie

B.  

Amazon Bedrock Guardrails

C.  

Amazon Comprehend

D.  

Amazon Inspector

Discussion 0
Question # 57

An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images.

Which type of FM should the AI practitioner use to power the search application?

Options:

A.  

Multi-modal embedding model

B.  

Text embedding model

C.  

Multi-modal generation model

D.  

Image generation model

Discussion 0
Question # 58

A company is developing a mobile ML app that uses a phone ' s camera to diagnose and treat insect bites. The company wants to train an image classification model by using a diverse dataset of insect bite photos from different genders, ethnicities, and geographic locations around the world.

Which principle of responsible Al does the company demonstrate in this scenario?

Options:

A.  

Fairness

B.  

Explainability

C.  

Governance

D.  

Transparency

Discussion 0
Question # 59

A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations.

Which solution will meet these requirements?

Options:

A.  

Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus

B.  

Data augmentation by using an Amazon Bedrock knowledge base

C.  

Image recognition by using Amazon Rekognition

D.  

Data summarization by using Amazon QuickSight

Discussion 0
Question # 60

An education provider is building a question and answer application that uses a generative AI model to explain complex concepts. The education provider wants to automatically change the style of the model response depending on who is asking the question. The education provider will give the model the age range of the user who has asked the question.

Which solution meets these requirements with the LEAST implementation effort?

Options:

A.  

Fine-tune the model by using additional training data that is representative of the various age ranges that the application will support.

B.  

Add a role description to the prompt context that instructs the model of the age range that the response should target.

C.  

Use chain-of-thought reasoning to deduce the correct style and complexity for a response suitable for that user.

D.  

Summarize the response text depending on the age of the user so that younger users receive shorter responses.

Discussion 0

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