Amazon AIF-C01 Online Practice Questions and Exam Preparation

Amazon AIF-C01 Online Questions & Answers

• Question 221:

  A company wants to build a chatbot that can understand spoken user input and respond with synthesized speech.

  Which combination of AWS services should the company use? (Select TWO.)

  A. Amazon Lex
  B. Amazon Polly
  C. Amazon Macie
  D. AWS Artifact
  E. Amazon S3 Glacier
  A. Amazon Lex
  B. Amazon Polly

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  Explanation

  Amazon Lex and Amazon Polly are the correct answers because Lex can build conversational interfaces and Polly can convert the chatbot's text responses into speech. Together they support a voice-enabled chatbot experience.

  Option A (Correct): "Amazon Lex": This is correct because it supports conversational interfaces and can process user utterances.

  Option B (Correct): "Amazon Polly": This is correct because it converts generated text responses into speech.

  Option C: "Amazon Macie" is incorrect because it is used for sensitive data discovery and protection.

  Option D: "AWS Artifact" is incorrect because it provides compliance documentation.

  Option E: "Amazon S3 Glacier" is incorrect because it is archival storage and not part of voice interaction.

• Question 222:

  A financial company has offices in different countries worldwide. The company requires that all API calls between generative AI applications and foundation models (FM) must not travel across the public internet. Which AWS service should the company use?

  A. AWS PrivateLink
  B. Amazon Q
  C. Amazon CloudFront
  D. AWS CloudTrail
  A. AWS PrivateLink

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  AWS PrivateLink provides secure, private connectivity between VPCs and AWS services, ensuring that API calls do not traverse the public internet. This meets the requirement for private communication between generative AI applications and foundation models across global offices.

• Question 223:

  A food service company wants to collect a dataset to predict customer food preferences. The company wants to ensure that the food preferences of all demographics are included in the data. Which dataset characteristic does this scenario present?

  A. Accuracy
  B. Diversity
  C. Recency bias
  D. Reliability
  B. Diversity

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  Ensuring representation of all demographic groups addresses the dataset's diversity, so the model learns from a wide range of customer preferences.

• Question 224:

  A company is building a generative AI application and wants to store embeddings so that the application can perform semantic search over product descriptions.

  Which AWS service can support this requirement?

  A. Amazon Polly
  B. Amazon OpenSearch Service
  C. Amazon CloudFront
  D. AWS Artifact
  B. Amazon OpenSearch Service

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  Explanation

  Amazon OpenSearch Service is the correct answer because it can support vector storage and similarity search for embeddings, which is useful for semantic search applications.

  Option B (Correct): "Amazon OpenSearch Service": This is correct because it can be used as a vector database for embedding-based retrieval.

  Option A: "Amazon Polly" is incorrect because it is a text-to-speech service.

  Option C: "Amazon CloudFront" is incorrect because it is a content delivery network, not a vector search solution.

  Option D: "AWS Artifact" is incorrect because it provides compliance reports and agreements, not semantic search capabilities.

• Question 225:

  A company wants to use AI for budgeting. The company made one budget manually and one budget by using an AI model. The company compared the budgets to evaluate the performance of the AI model. The AI model budget produced incorrect numbers.

  Which option represents the AI model's problem?

  A. Hallucinations
  B. Safety
  C. Interpretability
  D. Cost
  A. Hallucinations

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  Explanation

  The AI model generated incorrect numerical outputs that are not grounded in reality or the input data, which is characteristic of hallucinations in AI systems.

• Question 226:

  HOTSPOT

  Select the correct AI term from the following list for each statement. Each AI term should be selected one time. (Select THREE.)

  1. AI

  2. Deep learning

  3. ML

  

  

  Explanation:

  Simulates human problem-solving capabilities -> AI

  Applies data-driven learning techniques to make predictions -> ML Focuses on processing data through intricate neural networks -> Deep learning

  AI (Artificial Intelligence) is the broadest concept and includes simulating human-like reasoning and problem-solving.

  ML (Machine Learning) is a subset of AI focused on learning from data to make predictions or decisions.

  Deep learning is a subset of ML that uses neural networks with many layers to process complex data.

• Question 227:

  A company has ne-tuned a large language model (LLM) to answer questions for a help desk. The company wants to determine if the ne-tuning has enhanced the model's accuracy. Which metric should the company use for the evaluation?

  A. Precision
  B. Time to first token
  C. F1 score
  D. Word error rate
  C. F1 score

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• Question 228:

  A company wants to build a recommendation engine that suggests products based on each customer's behavior.

  Which AWS service is designed for this use case?

  A. Amazon Personalize
  B. Amazon Macie
  C. Amazon Inspector
  D. Amazon Transcribe
  A. Amazon Personalize

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  Explanation

  Amazon Personalize is the correct answer because it is an AWS managed service built for recommendation use cases such as product suggestions and personalized rankings.

  Option A (Correct): "Amazon Personalize": This is correct because it delivers recommendations tailored to user behavior.

  Option B: "Amazon Macie" is incorrect because it helps discover and protect sensitive data.

  Option C: "Amazon Inspector" is incorrect because it is focused on vulnerability management.

  Option D: "Amazon Transcribe" is incorrect because it converts speech to text.

• Question 229:

  A healthcare company wants to create a model to improve disease diagnostics by analyzing patient voices. The company has recorded hundreds of patient voices for this project.

  The company is currently filtering voice recordings according to duration and language.

  Which phase of the ML lifecycle describes the current project phase?

  A. Data collection
  B. Data preprocessing
  C. Feature engineering
  D. Model training
  B. Data preprocessing

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  Filtering voice recordings by duration and language is part of data preprocessing, where raw data is cleaned and prepared to ensure quality and consistency before moving to feature engineering and model training.

• Question 230:

  What is the primary purpose of system prompts in generative AI applications?

  A. To authenticate user credentials to access responses from AI
  B. To generate random responses by AI
  C. To define the role and behavioral boundaries of AI
  D. To compress output data from AI
  C. To define the role and behavioral boundaries of AI

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  Explanation

  System prompts are used to establish the role, tone, rules, and behavioral constraints of the AI, ensuring it responds in a controlled and consistent manner aligned with the application's intended purpose.