Understand AI Concepts DA0-001 Practice Questions (Page 3)

Questions 11–15

1. 11expert · hard

   A customer support center receives thousands of emails daily. They want to automatically categorize emails by urgency (high, medium, low) and then route them to the appropriate team. They have a large dataset of historical emails with urgency labels. However, the emails contain a mix of text and attachments, and the routing system is legacy. Which approach should they take?

   • AUse an unsupervised clustering model to group emails by similarity and route them
   • BUse RPA to read the email text and apply keyword rules to determine urgency
   • CUse a generative AI model to draft responses to the emails
   • DTrain a supervised classification model on the email text to predict urgency, and use RPA to route the emails in the legacy system
   Reveal Solution Discussion Select an answer first
2. 12application · medium

   A legal firm wants to automatically identify all mentions of specific contract clauses in thousands of legal documents. The documents are in PDF format. Which combination of AI techniques should they use?

   • AA regression model to predict the number of clauses in each document
   • BOCR to convert PDFs to text, then NLP to identify clause mentions
   • CRobotic process automation to read the PDFs and copy text to a spreadsheet
   • DA generative AI model to create summaries of each document
   Reveal Solution Discussion Select an answer first
4. 13foundation · easy

   Which of the following tasks is a primary application of natural language processing (NLP)?

   • ADetecting fraudulent transactions in a database
   • BSentiment analysis of customer reviews
   • CPredicting stock prices from historical data
   • DImage classification of product photos
   Reveal Solution Discussion Select an answer first
5. 14foundation · easy

   A company wants to automate the repetitive task of copying data from incoming emails into a spreadsheet. The process follows a fixed set of rules and does not require judgment. Which technology is designed for this type of automation?

   • AMachine learning
   • BNatural language processing
   • CRobotic process automation
   • DComputer vision
   Reveal Solution Discussion Select an answer first
6. 15expert · hard

   A financial services company wants to automate the review of loan applications. The applications include free-text fields (e.g., reason for loan) and structured data (e.g., income, credit score). The company wants to (1) determine if the application is complete, (2) flag applications that are likely to default, and (3) enter the data into their legacy system. They have historical data on loan outcomes. Which combination of AI techniques should they use?

   • AUse RPA alone to read all fields and enter the data
   • BUse NLP to analyze the free-text fields, a supervised classification model to predict default risk, and RPA to enter data into the legacy system
   • CUse a regression model to predict the loan amount
   • DUse a generative AI model to create new loan applications
   Reveal Solution Discussion Select an answer first