Task Statement 1.2: Identify Practical Use Cases for AI. AIF-C01 Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A media company receives thousands of customer support emails daily. They want to automatically categorize each email by topic (billing, technical, or account) and route it to the appropriate team. Which AWS service combination should they use?

   • AAmazon Textract to extract text from emails and Amazon Polly to read them aloud to agents
   • BAmazon Comprehend for topic detection and Amazon Simple Email Service (SES) for routing
   • CAmazon Comprehend for custom classification and Amazon Simple Notification Service (SNS) to notify the appropriate team
   • DAmazon Transcribe to convert emails to text and Amazon Lex to classify them
   Reveal Solution Discussion Select an answer first
2. 12application · easy

   A company wants to build a chatbot that can answer customer questions by querying a knowledge base. Which AWS service is designed for building conversational interfaces?

   • AAmazon Lex
   • BAmazon Transcribe
   • CAmazon Comprehend
   • DAmazon Polly
   Reveal Solution Discussion Select an answer first
4. 13foundation · easy

   A financial institution needs to approve loan applications and must provide clear, auditable reasons for each decision. Which approach is most appropriate?

   • AA foundation model fine-tuned on historical loan data
   • BA rule-based system that uses a foundation model to generate rules
   • CA foundation model that generates a decision with a natural language explanation
   • DA traditional ML model with explainability techniques
   Reveal Solution Discussion Select an answer first
5. 14expert · hard

   A hospital wants to use AI to analyze medical images to detect potential tumors. The hospital has a large dataset of labeled images and requires high accuracy, but also needs to explain decisions to doctors. Which approach is most appropriate?

   • AA simple regression model
   • BA foundation model fine-tuned on the hospital's images
   • CA traditional deep learning model with explainability tools
   • DA clustering algorithm to group similar images
   Reveal Solution Discussion Select an answer first
6. 15foundation · easy

   A startup needs to process thousands of support tickets daily and categorize them by urgency. Which AI/ML benefit is most directly realized by this use case?

   • AEnabling scalability by handling a volume of work that would be impractical manually
   • BEliminating the need for any human oversight in the process
   • CProviding deterministic outcomes that are always 100% accurate
   • DReducing the cost of the underlying infrastructure
   Reveal Solution Discussion Select an answer first