Amazon AIF-C01 Online Practice Questions and Exam Preparation

Amazon AIF-C01 Online Questions & Answers

• Question 181:

  HOTSPOT

  A company periodically updates its product database by manually uploading digital product guides. The product guides contain text and images. The company wants to automate this task by using generative AI.

  Select and order the steps from the following list to automate the database update task by using generative AI. Select each step one time.

  

  

  Explanation:

• Question 182:

  A financial company is developing a fraud detection system that flags potential fraud cases in credit card transactions. Employees will evaluate the flagged fraud cases. The company wants to minimize the amount of time the employees spend reviewing flagged fraud cases that are not actually fraudulent. Which evaluation metric meets these requirements?

  A. Recall
  B. Accuracy
  C. Precision
  D. Lift chart
  C. Precision

• Question 183:

  An airline company wants to use a generative AI model to convert a flight booking system from one coding language into another coding language. The company must select a model for this task. Which criteria should the company use to select the correct generative AI model for this task?

  A. Syntax, semantic understanding, and code optimization capabilities
  B. Code generation speed and error handling capabilities
  C. Ability to generate creative content
  D. Model size and resource requirements
  A. Syntax, semantic understanding, and code optimization capabilities

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  Converting code from one programming language to another requires a generative AI model that can understand both the syntax (rules of the language) and semantics (logic and meaning of the code). Code optimization ensures the translated code is efficient and functional in the target language.

• Question 184:

  A company wants to predict the monthly sales revenue for each store for the next 12 months based on historical sales data.

  Which machine learning approach should the company use?

  A. Classification
  B. Clustering
  C. Regression
  D. Reinforcement learning
  C. Regression

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  Explanation

  Regression is the correct answer because the company needs to predict a continuous numeric value, which is monthly sales revenue. Regression models are designed for forecasting quantities such as price, demand, or revenue.

  Option C (Correct): "Regression": This is correct because regression is used when the output is a number rather than a category.

  Option A: "Classification" is incorrect because classification predicts discrete labels, not continuous values.

  Option B: "Clustering" is incorrect because clustering groups similar records without predicting a target value.

  Option D: "Reinforcement learning" is incorrect because reinforcement learning is used for sequential decision-making based on rewards, not standard numeric forecasting.

• Question 185:

  An AI practitioner has trained a model on a training dataset. The model performs well on the training data. However, the model does not perform well on evaluation data. What is the MOST likely cause of this issue?

  A. The model is underfit.
  B. The model requires prompt engineering.
  C. The model is biased.
  D. The model is overfit.
  D. The model is overfit.

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  Overfitting occurs when a model learns the training data too well, including noise and details that do not generalize. As a result, it performs well on training data but poorly on unseen evaluation data.

• Question 186:

  A company wants to extract printed text and form data from scanned insurance documents in PDF format.

  Which AWS service will meet this requirement?

  A. Amazon Textract
  B. Amazon Lex
  C. Amazon Personalize
  D. Amazon Comprehend
  A. Amazon Textract

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  Explanation

  Amazon Textract is the correct answer because it extracts text, forms, and structured data from scanned documents and PDFs. It is designed for document understanding workflows.

  Option A (Correct): "Amazon Textract": This is correct because it can process scanned documents and identify extracted text and form fields.

  Option B: "Amazon Lex" is incorrect because it is used to build conversational interfaces.

  Option C: "Amazon Personalize" is incorrect because it is used for recommendation systems.

  Option D: "Amazon Comprehend" is incorrect because it analyzes text that has already been extracted.

• Question 187:

  A financial services company must ensure that its generative AI-powered chatbot provides factual responses for regulatory compliance. Which solution prevents the underlying foundation model (FM) from hallucinating?

  A. Use AWS Config to query compliance metadata by using natural language.
  B. Configure Amazon Bedrock Guardrails to evaluate user inputs and model responses.
  C. Use Amazon Fraud Detector to detect potentially fraudulent online activities.
  D. Use AWS Audit Manager to prepare IT audit and compliance reports.
  B. Configure Amazon Bedrock Guardrails to evaluate user inputs and model responses.

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  Amazon Bedrock Guardrails allows you to define rules and policies that evaluate and constrain both user inputs and model responses. By configuring guardrails, you can prevent the generative AI model from producing hallucinated or non-factual outputs, ensuring the chatbot adheres to compliance requirements and provides factual responses. This directly addresses the need to control hallucinations in generative AI systems for regulatory compliance.

• Question 188:

  A company stores millions of PDF documents in an Amazon S3 bucket. The company needs to extract the text from the PDFs, generate summaries of the text, and index the summaries for fast searching. Which combination of AWS services will meet these requirements? (Select TWO.)

  A. Amazon Translate
  B. Amazon Bedrock
  C. Amazon Transcribe
  D. Amazon Polly
  E. Amazon Textract
  B. Amazon Bedrock
  E. Amazon Textract

• Question 189:

  A company wants to use Amazon Q Business for its data. The company needs to ensure the security and privacy of the data. Which combination of steps will meet these requirements? (Choose two.)

  A. Enable AWS Key Management Service (AWS KMS) keys for the Amazon Q Business Enterprise index.
  B. Set up cross-account access to the Amazon Q index.
  C. Configure Amazon Inspector for authentication.
  D. Allow public access to the Amazon Q index.
  E. Configure AWS Identity and Access Management (IAM) for authentication.
  A. Enable AWS Key Management Service (AWS KMS) keys for the Amazon Q Business Enterprise index.
  E. Configure AWS Identity and Access Management (IAM) for authentication.

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  Enabling AWS KMS keys ensures encryption of data at rest for the Amazon Q Business Enterprise index, protecting sensitive data. Configuring IAM provides secure authentication and access control, ensuring only authorized users and applications can access the data.

• Question 190:

  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?

  A. Model size
  B. Training data quality
  C. General-purpose use and high-powered GPU availability
  D. Model latency and optimized inference speed
  D. Model latency and optimized inference speed

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  For real-time service quotes, the critical requirement is low response time. A model with optimized inference speed and low latency ensures fast and efficient user interactions, making it the correct selection criterion.