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Amazon AIF-C01 Practice Test - Questions Answers, Page 3

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Question 21

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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?

Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus
Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus
Data augmentation by using an Amazon Bedrock knowledge base
Data augmentation by using an Amazon Bedrock knowledge base
Image recognition by using Amazon Rekognition
Image recognition by using Amazon Rekognition
Data summarization by using Amazon QuickSight
Data summarization by using Amazon QuickSight
Suggested answer: A
asked 16/09/2024
Lucas Kenji Mizuguchi Martins
47 questions

Question 22

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A security company is using Amazon Bedrock to run foundation models (FMs). The company wants to ensure that only authorized users invoke the models. The company needs to identify any unauthorized access attempts to set appropriate AWS Identity and Access Management (IAM) policies and roles for future iterations of the FMs.

Which AWS service should the company use to identify unauthorized users that are trying to access Amazon Bedrock?

AWS Audit Manager
AWS Audit Manager
AWS CloudTrail
AWS CloudTrail
Amazon Fraud Detector
Amazon Fraud Detector
AWS Trusted Advisor
AWS Trusted Advisor
Suggested answer: B
asked 16/09/2024
Stefan Lundmark
44 questions

Question 23

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A company manually reviews all submitted resumes in PDF format. As the company grows, the company expects the volume of resumes to exceed the company's review capacity. The company needs an automated system to convert the PDF resumes into plain text format for additional processing.

Which AWS service meets this requirement?

Amazon Textract
Amazon Textract
Amazon Personalize
Amazon Personalize
Amazon Lex
Amazon Lex
Amazon Transcribe
Amazon Transcribe
Suggested answer: A
asked 16/09/2024
Aurelio Chavez
48 questions

Question 24

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A company wants to use large language models (LLMs) with Amazon Bedrock to develop a chat interface for the company's product manuals. The manuals are stored as PDF files.

Which solution meets these requirements MOST cost-effectively?

Use prompt engineering to add one PDF file as context to the user prompt when the prompt is submitted to Amazon Bedrock.
Use prompt engineering to add one PDF file as context to the user prompt when the prompt is submitted to Amazon Bedrock.
Use prompt engineering to add all the PDF files as context to the user prompt when the prompt is submitted to Amazon Bedrock.
Use prompt engineering to add all the PDF files as context to the user prompt when the prompt is submitted to Amazon Bedrock.
Use all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned model to process user prompts.
Use all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned model to process user prompts.
Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base to provide context when users submit prompts to Amazon Bedrock.
Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base to provide context when users submit prompts to Amazon Bedrock.
Suggested answer: D
asked 16/09/2024
Bill May
45 questions

Question 25

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Which term describes the numerical representations of real-world objects and concepts that AI and natural language processing (NLP) models use to improve understanding of textual information?

Embeddings
Embeddings
Tokens
Tokens
Models
Models
Binaries
Binaries
Suggested answer: A
asked 16/09/2024
Cristian Bello Henriquez
34 questions

Question 26

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A company is building an application that needs to generate synthetic data that is based on existing data.

Which type of model can the company use to meet this requirement?

Generative adversarial network (GAN)
Generative adversarial network (GAN)
XGBoost
XGBoost
Residual neural network
Residual neural network
WaveNet
WaveNet
Suggested answer: A
asked 16/09/2024
Shahir Kazmi
42 questions

Question 27

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A company wants to use generative AI to increase developer productivity and software development. The company wants to use Amazon Q Developer.

What can Amazon Q Developer do to help the company meet these requirements?

Create software snippets, reference tracking, and open-source license tracking.
Create software snippets, reference tracking, and open-source license tracking.
Run an application without provisioning or managing servers.
Run an application without provisioning or managing servers.
Enable voice commands for coding and providing natural language search.
Enable voice commands for coding and providing natural language search.
Convert audio files to text documents by using ML models.
Convert audio files to text documents by using ML models.
Suggested answer: C
asked 16/09/2024
Zakaria Boujli
28 questions

Question 28

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A company wants to create an application by using Amazon Bedrock. The company has a limited budget and prefers flexibility without long-term commitment.

Which Amazon Bedrock pricing model meets these requirements?

On-Demand
On-Demand
Model customization
Model customization
Provisioned Throughput
Provisioned Throughput
Spot Instance
Spot Instance
Suggested answer: A
asked 16/09/2024
Nagaretnam, Ravin
38 questions

Question 29

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A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model. The company needs to perform analysis on internal data and external data.

Which solution will meet these requirements?

Store the data in Amazon S3. Create ML models and demand forecast predictions by using Amazon SageMaker built-in algorithms that use the data from Amazon S3.
Store the data in Amazon S3. Create ML models and demand forecast predictions by using Amazon SageMaker built-in algorithms that use the data from Amazon S3.
Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.
Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.
Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.
Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.
Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from SageMaker Canvas.
Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from SageMaker Canvas.
Suggested answer: D
asked 16/09/2024
Kenny McCue
32 questions

Question 30

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What are tokens in the context of generative AI models?

Tokens are the basic units of input and output that a generative AI model operates on, representing words, subwords, or other linguistic units.
Tokens are the basic units of input and output that a generative AI model operates on, representing words, subwords, or other linguistic units.
Tokens are the mathematical representations of words or concepts used in generative AI models.
Tokens are the mathematical representations of words or concepts used in generative AI models.
Tokens are the pre-trained weights of a generative AI model that are fine-tuned for specific tasks.
Tokens are the pre-trained weights of a generative AI model that are fine-tuned for specific tasks.
Tokens are the specific prompts or instructions given to a generative AI model to generate output.
Tokens are the specific prompts or instructions given to a generative AI model to generate output.
Suggested answer: A
asked 16/09/2024
owais mansoor
46 questions
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