Understand AI Concepts DA0-001 Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   Which of the following is a typical characteristic of robotic process automation (RPA)?

   • AIt requires rewriting the underlying application code to integrate with the automation
   • BIt can handle unstructured tasks that require human-like judgment
   • CIt is primarily used for making predictions based on historical data
   • DIt automates tasks by interacting with existing applications through their user interfaces
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   A retail company wants to group its customers into segments based on purchasing behavior, but it does not have predefined categories. Which type of AI model would be most appropriate for this task?

   • AReinforcement learning model
   • BNatural language processing model
   • CUnsupervised learning model
   • DSupervised learning model
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A government agency receives thousands of paper forms that must be digitized and entered into a database. The forms have a consistent layout, but the handwriting is often difficult to read. Which approach should they use?

   • AUse a supervised classification model to categorize the forms
   • BUse a generative AI model to create new forms
   • CUse RPA alone to read the paper forms
   • DUse OCR with handwriting recognition, then RPA to enter the data
   Reveal Solution Discussion Select an answer first
5. 4expert · hard

   A logistics company processes shipment orders that arrive in three formats: emailed PDFs, scanned images, and structured CSV files. The company wants to automate the entire process of extracting shipment details and entering them into their legacy tracking system. The PDFs and images have inconsistent layouts, but the CSVs are well-structured. The company has a limited budget and wants to avoid replacing the legacy system. Which approach best meets these requirements?

   • AUse a supervised classification model to categorize the shipment orders
   • BReplace the legacy system with a modern system that has built-in AI
   • CUse OCR and NLP to extract data from PDFs and images, and use RPA to enter data from all sources into the legacy system
   • DUse RPA alone to read all three formats and enter the data
   Reveal Solution Discussion Select an answer first
6. 5expert · hard

   A manufacturing company wants to predict equipment failures before they occur to schedule maintenance proactively. They have sensor data (temperature, vibration, etc.) and historical records of failures. They also want to automatically generate maintenance work orders in their legacy CMMS system. Which combination of AI techniques should they use?

   • AUse NLP to analyze maintenance logs
   • BUse a supervised classification model to predict failure risk, and RPA to generate work orders in the CMMS
   • CUse an unsupervised clustering model to group sensor readings
   • DUse RPA alone to monitor sensor data and create work orders
   Reveal Solution Discussion Select an answer first