Consider a scenario where an e-commerce company is using a Job Scheduler to manage various...

Comprehensive and Detailed Explanation From Exact Extract:

Pega’s Job Scheduler is a server-side component designed to execute recurring tasks at specified intervals, as described in Pega Academy’sLead System Architect Missionand thePega Certified Lead System Architect Study Guide. It supports automation and scalability for background processes, making it ideal for tasks like inventory updates or report generation.

Option A (Correct): Job Schedulers can automatically retry failed tasks, configurable through retry policies in the Job Scheduler rule. This ensures reliability for critical tasks, as documented in theJob Schedulersection of Pega Community.

Option B (Incorrect): Job Schedulers do not inherently run tasks in a specific order unless explicitly configured with dependencies, which is not a default feature. Tasks are scheduled independently based on their recurrence settings, per theAsynchronous Processingmodule.

Option C (Incorrect): Job Schedulers do not automatically commit data updates. Committing updates depends on the activities or processes within the scheduled task, and Pega requires explicit commit actions (e.g., Obj-Save), as noted in theData Managementguidelines.

Option D (Correct): Job Schedulers can run tasks in parallel across multiple nodes, leveraging Pega’s distributed processing capabilities. This is particularly useful for high-volume tasks like order processing, as outlined in theJob Scheduler Configurationmodule.