Crucial Exams

CompTIA Data+ DA0-002 (V2) Practice Question

A manufacturing company relies on three legacy desktop applications that do not expose APIs or direct database connectivity. Each night a junior analyst manually logs in, exports the day's production data to CSV, renames the files according to a strict convention, and copies them to a network share so an overnight ETL job can load them into the data warehouse. Management wants to eliminate this repetitive task without rewriting the legacy software. Which approach best matches the capabilities of robotic process automation (RPA) for this scenario?

  • Train a convolutional neural network to predict missing production values and write the results directly to the warehouse.

  • Record the analyst's UI actions in an unattended software bot and schedule it to export, rename, and move the files every night.

  • Configure the ETL tool to query the legacy applications' databases directly through JDBC connections.

  • Replace the legacy applications with microservice-based web APIs and rebuild the workflow around REST calls.

CompTIA Data+ DA0-002 (V2)
Data Concepts and Environments
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