Your organization is building a logistics dashboard that must display parcel-tracking events from a major shipping carrier within five minutes of each scan. The carrier can share its data in one of four ways: dropping a daily CSV file on an SFTP server, exposing an authenticated REST endpoint that returns JSON, presenting parcel status on public HTML pages, or emailing a weekly XLSX report. Which data-collection approach is the most appropriate data source to meet the dashboard's requirement while minimizing additional parsing effort?
Use a web-scraping script to extract tracking details from the carrier's HTML pages.
Download the daily CSV file from the SFTP drop and load it into the dashboard.
Import the weekly XLSX spreadsheet that the carrier emails to the operations team.
Call the carrier's authenticated REST API to retrieve tracking events in JSON format.
A REST API is specifically designed for system-to-system data exchange. Because the carrier's endpoint returns machine-readable JSON, the analytics team can ingest the data with little transformation and schedule calls as frequently as needed, achieving near-real-time updates. The SFTP CSV and weekly XLSX options introduce batch latency that violates the five-minute requirement, while the HTML option relies on web scraping, adding fragility and extra parsing work. Therefore, the authenticated REST API is the best fit.
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What is a REST API and why is it suitable for real-time data exchange?
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CompTIA Data+ DA0-002 (V2)
Data Concepts and Environments
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