Databricks-DE-Pro Data Sharing and Federation Practice Question
When using Delta Sharing to share data with a recipient, what is the best way to handle updates to the shared data?
⚠ Common exam trap
Candidates often assume that Delta Sharing requires a manual 'push' or refresh mechanism to sync data, failing to realize that Delta Sharing provides a direct, live view of the underlying table.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Updates are automatically visible to the recipient.
Delta Sharing automatically reflects the state of the table at the time of the query. Because the recipient accesses the Delta table directly (or via a managed share), any new data written to the table becomes immediately available to the recipient. There is no need for the provider to manually refresh the share, which ensures data consistency and reduces the maintenance burden for the Data Engineer.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The provider must recreate the share object.
Why it's wrong here
Recreating the share object is unnecessary. Delta Sharing is built on Delta Lake, and it tracks the current version of the table. Once a table is added to a share, any subsequent writes to that table are automatically visible to the recipient upon their next query execution.
- ✗
The recipient must request a new credential file.
Why it's wrong here
Credential files are for authentication, not data refresh. As long as the credential file has not expired, the recipient can continue to query the shared data. The updates are handled at the storage layer, meaning the recipient will see the latest data without needing to re-authenticate.
- ✓
Updates are automatically visible to the recipient.
Why this is correct
Because Delta Sharing queries the live Delta table, the recipient always sees the most recent committed state of the data. This provides a seamless, real-time data sharing experience, eliminating the manual overhead of exporting files or synchronizing data snapshots between the provider and the recipient organizations.
- ✗
The provider must run an 'REFRESH SHARE' command.
Why it's wrong here
There is no 'REFRESH SHARE' command in Databricks. The share metadata is maintained automatically by Unity Catalog. The data access is live, and the sharing service handles the underlying Delta table versioning, ensuring that the recipient always accesses the correct, most up-to-date version of the shared data.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Databricks exam blueprint
This Databricks-DE-Pro practice question is part of Courseiva's free Databricks certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Databricks-DE-Pro exam.