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AIF-C01 — questions

Page 8 of 22 · 422 total questions.

Topic 1 · Question 141

A company’s employees provide product descriptions and recommendations to customers when customers call the customer service center. These recommendations are based on where the customers are located. The company wants to use foundation models (FMs) to automate this process. Which AWS service meets these requirements?

  • AAmazon Macie
  • BAmazon Transcribe
  • CAmazon Bedrock (correct answer)
  • DAmazon Textract
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Amazon Bedrock

Explanation

Amazon Bedrock provides access to foundation models through a managed API.

Topic 1 · Question 142

A company wants to upload customer service email messages to Amazon S3 to develop a business analysis application. The messages sometimes contain sensitive data. The company wants to receive an alert every time sensitive information is found. Which solution fully automates the sensitive information detection process with the LEAST development effort?

  • AConfigure Amazon Macie to detect sensitive information in the documents that are uploaded to Amazon S3. (correct answer)
  • BUse Amazon SageMaker endpoints to deploy a large language model (LLM) to redact sensitive data.
  • CDevelop multiple regex patterns to detect sensitive data. Expose the regex patterns on an Amazon SageMaker notebook.
  • DAsk the customers to avoid sharing sensitive information in their email messages.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Configure Amazon Macie to detect sensitive information in the documents that are uploaded to Amazon S3.

Explanation

Amazon S3 provides durable, scalable object storage that is fully managed. Amazon Macie discovers and protects sensitive data such as PII in S3. AWS Config tracks resource configuration changes and evaluates compliance. This option needs the least custom development effort.

Topic 1 · Question 143

HOTSPOT - A company is training its employees on how to structure prompts for foundation models. Select the correct prompt engineering technique from the following list for each prompt template. Each prompt engineering technique should be selected one time.

Exhibit 1 for question 143Exhibit 2 for question 143
    Reveal answer & explanation
    Correct answer: A

    Refer to the exhibit image(s). The correct answer is A.

    Topic 1 · Question 144

    Which option is a benefit of using Amazon SageMaker Model Cards to document AI models?

    • AProviding a visually appealing summary of a mode’s capabilities.
    • BStandardizing information about a model’s purpose, performance, and limitations. (correct answer)
    • CReducing the overall computational requirements of a model.
    • DPhysically storing models for archival purposes.
    Reveal answer & explanation
    Correct answer: B

    The correct answer is B. Option B: Standardizing information about a model’s purpose, performance, and limitations.

    Topic 1 · Question 145

    Which option is a benefit of using Amazon SageMaker Model Cards to document AI models?

    • AProviding a visually appealing summary of a mode’s capabilities.
    • BStandardizing information about a model’s purpose, performance, and limitations. (correct answer)
    • CReducing the overall computational requirements of a model.
    • DPhysically storing models for archival purposes.
    Reveal answer & explanation
    Correct answer: B

    The correct answer is B.

    Topic 1 · Question 146

    A company deployed an AI/ML solution to help customer service agents respond to frequently asked questions. The questions can change over time. The company wants to give customer service agents the ability to ask questions and receive automatically generated answers to common customer questions. Which strategy will meet these requirements MOST cost-effectively?

    • AFine-tune the model regularly.
    • BTrain the model by using context data.
    • CPre-train and benchmark the model by using context data.
    • DUse Retrieval Augmented Generation (RAG) with prompt engineering techniques. (correct answer)
    Reveal answer & explanation
    Correct answer: D

    The correct answer is D. Option D: Use Retrieval Augmented Generation (RAG) with prompt engineering techniques. This option delivers the requirement at the lowest cost.

    Topic 1 · Question 147

    A company deployed an AI/ML solution to help customer service agents respond to frequently asked questions. The questions can change over time. The company wants to give customer service agents the ability to ask questions and receive automatically generated answers to common customer questions. Which strategy will meet these requirements MOST cost-effectively?

    • AFine-tune the model regularly.
    • BTrain the model by using context data.
    • CPre-train and benchmark the model by using context data.
    • DUse Retrieval Augmented Generation (RAG) with prompt engineering techniques. (correct answer)
    Reveal answer & explanation
    Correct answer: D

    The correct answer is D.

    Topic 1 · Question 148 · Select all that apply

    A global financial company has developed an ML application to analyze stock market data and provide stock market trends. The company wants to continuously monitor the application development phases and to ensure that company policies and industry regulations are followed. Which AWS services will help the company assess compliance requirements? (Choose two.)

    • AAWS Audit Manager
    • BAWS Config (correct answer)
    • CAmazon Inspector
    • DAmazon CloudWatch
    • EAWS CloudTrail
    Reveal answer & explanation
    Correct answer: B

    The correct answer is B. Option B: AWS Config

    Explanation

    AWS Config tracks resource configuration changes and evaluates compliance.

    Topic 1 · Question 149

    A company wants to improve the accuracy of the responses from a generative AI application. The application uses a foundation model (FM) on Amazon Bedrock. Which solution meets these requirements MOST cost-effectively?

    • AFine-tune the FM.
    • BRetrain the FM.
    • CTrain a new FM.
    • DUse prompt engineering. (correct answer)
    Reveal answer & explanation
    Correct answer: D

    The correct answer is D. Option D: Use prompt engineering. This option delivers the requirement at the lowest cost.

    Topic 1 · Question 150

    A company wants to identify harmful language in the comments section of social media posts by using an ML model. The company will not use labeled data to train the model. Which strategy should the company use to identify harmful language?

    • AUse Amazon Rekognition moderation.
    • BUse Amazon Comprehend toxicity detection. (correct answer)
    • CUse Amazon SageMaker built-in algorithms to train the model.
    • DUse Amazon Polly to monitor comments.
    Reveal answer & explanation
    Correct answer: B

    The correct answer is B. Option B: Use Amazon Comprehend toxicity detection.

    Explanation

    Amazon Comprehend extracts insights and entities from text using NLP.

    Topic 1 · Question 151

    A media company wants to analyze viewer behavior and demographics to recommend personalized content. The company wants to deploy a customized ML model in its production environment. The company also wants to observe if the model quality drifts over time. Which AWS service or feature meets these requirements?

    • AAmazon Rekognition
    • BAmazon SageMaker Clarify
    • CAmazon Comprehend
    • DAmazon SageMaker Model Monitor (correct answer)
    Reveal answer & explanation
    Correct answer: D

    The correct answer is D. Option D: Amazon SageMaker Model Monitor

    Explanation

    Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.

    Topic 1 · Question 152

    A media company wants to analyze viewer behavior and demographics to recommend personalized content. The company wants to deploy a customized ML model in its production environment. The company also wants to observe if the model quality drifts over time. Which AWS service or feature meets these requirements?

    • AAmazon Rekognition
    • BAmazon SageMaker Clarify
    • CAmazon Comprehend
    • DAmazon SageMaker Model Monitor (correct answer)
    Reveal answer & explanation
    Correct answer: D

    The correct answer is D.

    Topic 1 · Question 153

    A company is deploying AI/ML models by using AWS services. The company wants to offer transparency into the models’ decision-making processes and provide explanations for the model outputs. Which AWS service or feature meets these requirements?

    • AAmazon SageMaker Model Cards (correct answer)
    • BAmazon Rekognition
    • CAmazon Comprehend
    • DAmazon Lex
    Reveal answer & explanation
    Correct answer: A

    The correct answer is A.

    Topic 1 · Question 154

    A manufacturing company wants to create product descriptions in multiple languages. Which AWS service will automate this task?

    • AAmazon Translate (correct answer)
    • BAmazon Transcribe
    • CAmazon Kendra
    • DAmazon Polly
    Reveal answer & explanation
    Correct answer: A

    The correct answer is A.

    Topic 1 · Question 156

    Which AWS feature records details about ML instance data for governance and reporting?

    • AAmazon SageMaker Model Cards (correct answer)
    • BAmazon SageMaker Debugger
    • CAmazon SageMaker Model Monitor
    • DAmazon SageMaker JumpStart
    Reveal answer & explanation
    Correct answer: A

    The correct answer is A. Option A: Amazon SageMaker Model Cards

    Explanation

    Amazon RDS is a managed relational database that handles patching, backups and failover. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.

    Topic 1 · Question 157

    A financial company is using ML to help with some of the company’s tasks. Which option is a use of generative AI models?

    • ASummarizing customer complaints (correct answer)
    • BClassifying customers based on product usage
    • CSegmenting customers based on type of investments
    • DForecasting revenue for certain products
    Reveal answer & explanation
    Correct answer: A

    The correct answer is A. Option A: Summarizing customer complaints.

    Topic 1 · Question 158

    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?

    • AUse Amazon Comprehend Medical to extract relevant medical entities and relationships. Apply rule-based logic to structure and format summaries. (correct answer)
    • BUse Amazon Personalize to analyze patient engagement patterns. Integrate the output with a general purpose text summarization tool.
    • CUse Amazon Textract to convert scanned documents into digital text. Design a keyword extraction system to generate summaries.
    • DImplement Amazon Kendra to provide a searchable index for medical records. Use a template-based system to format summaries.
    Reveal answer & explanation
    Correct answer: A

    The correct answer is A. Option A: Use Amazon Comprehend Medical to extract relevant medical entities and relationships. Apply rule-based logic to structure and format summaries.

    Explanation

    Amazon Comprehend extracts insights and entities from text using NLP.

    Topic 1 · Question 159

    Which option describes embeddings in the context of AI?

    • AA method for compressing large datasets
    • BAn encryption method for securing sensitive data
    • CA method for visualizing high-dimensional data
    • DA numerical method for data representation in a reduced dimensionality space (correct answer)
    Reveal answer & explanation
    Correct answer: D

    The correct answer is D. Option D: A numerical method for data representation in a reduced dimensionality space.

    Topic 1 · Question 160

    A company is building an AI application to summarize books of varying lengths. During testing, the application fails to summarize some books. Why does the application fail to summarize some books?

    • AThe temperature is set too high.
    • BThe selected model does not support fine-tuning.
    • CThe Top P value is too high.
    • DThe input tokens exceed the model’s context size. (correct answer)
    Reveal answer & explanation
    Correct answer: D

    The correct answer is D. Option D: The input tokens exceed the model’s context size.

    Topic 1 · Question 161

    An airline company wants to build a conversational AI assistant to answer customer questions about flight schedules, booking, and payments. The company wants to use large language models (LLMs) and a knowledge base to create a text-based chatbot interface. Which solution will meet these requirements with the LEAST development effort?

    • ATrain models on Amazon SageMaker Autopilot.
    • BDevelop a Retrieval Augmented Generation (RAG) agent by using Amazon Bedrock. (correct answer)
    • CCreate a Python application by using Amazon Q Developer.
    • DFine-tune models on Amazon SageMaker Jumpstart.
    Reveal answer & explanation
    Correct answer: B

    The correct answer is B. Option B: Develop a Retrieval Augmented Generation (RAG) agent by using Amazon Bedrock.

    Explanation

    Amazon Bedrock provides access to foundation models through a managed API. This option needs the least custom development effort.

    Showing questions 141160 of 422 · Page 8 of 22