Wrap up your Sterling OMS interview preparation with a focused guide on drop ship methods, inventory synchronization, RTAM, and alert configurations.
Sterling OMS
Drop Ship
RTAM
API Templates
Inventory Sync
OMS Fulfillment
Alerts
OMS Integration
51. What Are Picking Rules?
Defined in Oracle Inventory, they determine how inventory is selected—based on item type, locator, lot, expiry, or zone priorities.
52. What is Drop Ship in Order Management?
A fulfillment method where the product is shipped directly from the supplier to the customer, bypassing your own inventory.
53. Explain RTAM (Real-Time Availability Monitor).
RTAM ensures inventory availability is updated instantly across systems during ordering, promising accurate stock visibility in real-time.
54. What is the Use of API Tester in OMS?
It allows developers and testers to invoke Sterling OMS APIs with sample XML inputs, useful for validation, debugging, and learning service behaviors.
55. Why Use Templates in API Tester?
Templates help generate the base XML structure for standard APIs, ensuring required elements are included and reducing formatting errors.
56. What is a Custom API?
A Java-based or XSL-based component created to perform business-specific logic that cannot be achieved using default Sterling APIs.
57. How Do You Configure an Agent in Sterling OMS?
- Define Agent Criteria
- Associate it with the correct service chain
- Schedule agent frequency and threading
- Deploy and monitor in Agent Management UI
58. What Is Task Queue Agent vs Non Task Queue Agent (Revisited)?
- Task Queue Agent works off YFS_TASK_Q with retry and failure tracking.
- Non-Task Queue Agent runs direct queries on eligible records and lacks persistence.
59. What is the Use of YFS_INBOX Table?
Stores alert and exception messages triggered by services or workflows—can be consumed by alert agents or displayed in the UI.
60. What is IBM Sterling Inventory Synchronization?
A mechanism to ensure inventory quantities across Sterling OMS and external systems (ERPs, WMS) are consistent and accurate in near real-time or batch modes.
Thank You for Reading!
Before you go, I'd like to say "thank you" for reading this blog.
So a big thanks for reading all the way to the end.
Now I'd like to ask for a small favour.
Could you please take a minute or two and SHARE IT With Your Friends & Help Someone...
This feedback will help me continue to write the kind of articles that help you get results. And if you loved it, then please let me know…
Have Questions?
Let me hear your thoughts in the comments below!
Your time and support mean a lot. If you enjoyed this post or have suggestions, ideas, or questions, I'd love to hear from you. Feel free to leave a comment, share your thoughts, or connect with me. Don't forget to follow the blog for more inspiring content!
No comments:
Post a Comment