In Databricks, which action is part of managing recipients for a Delta Share?

Assigning the recipient a role in the workspace

Configuring the recipient's cluster to read the data

Creating a recipient and generating an activation link

Providing the recipient with the cloud storage access key

Which statement best describes how Delta Sharing provides 'live' data access?

Recipients see the latest committed changes to the shared tables without data duplication

Recipients must manually refresh the data to see updates

Data is automatically replicated to the recipient's storage every few minutes

Recipients receive a one-time snapshot of the data at the moment of sharing

A data engineer needs to share a table that is part of a Delta Lake table with a partner. The table is updated by multiple teams, and the partner needs to see the latest data. However, the partner should not see any data that has not been committed. What is the best way to ensure this?

Create a view that filters out uncommitted data and share the view.

Set up a trigger to share the table only after all teams have committed.

Copy the table to a new location after each commit and share that copy.

Share the Delta table directly; Delta Sharing only exposes committed data.

A data engineer is sharing a Delta table with a partner. The partner wants to build a dashboard that refreshes every 15 minutes. The table is updated by a streaming job that runs continuously. What is the best way to ensure the dashboard shows the latest data?

Create a new share every 15 minutes with the latest data.

Have the partner connect directly to the underlying cloud storage.

Use Delta Sharing; the dashboard will automatically see the latest committed data on each refresh.

Export the table to a CSV every 15 minutes and have the dashboard read the CSV.

How can a recipient access a Delta Share from a non-Databricks platform?

By exporting the data to a CSV file and downloading it

By connecting via JDBC to the provider's database

By mounting the provider's cloud storage directly

By using the Delta Sharing client library or connector for that platform

DatabricksCertified Data Engineer Professional

Domain 4Objective 3

Use Delta Share to Share Live Data from Lakehouse to Any Computing Platform. DATA-ENGINEER-PROFESSIONAL Practice Questions (Page 5)

Part of the Data Sharing and Federation domain, which accounts for 5% of the DATA-ENGINEER-PROFESSIONAL exam. Databricks does not publish an official question count, but from its 120-minute exam (~50–80 total, ~3–4 in this domain), expect 1–1 from this objective — we provide 29 practice questions to prepare you well beyond it. (estimate)

29questions here

6free pages

7concepts

5%of the exam

Questions 21–25

21foundation · easy
In Databricks, which action is part of managing recipients for a Delta Share?
Select an answer first
22foundation · easy
Which statement best describes how Delta Sharing provides 'live' data access?
Select an answer first
23expert · hard
A data engineer needs to share a table that is part of a Delta Lake table with a partner. The table is updated by multiple teams, and the partner needs to see the latest data. However, the partner should not see any data that has not been committed. What is the best way to ensure this?
Select an answer first
24application · medium
A data engineer is sharing a Delta table with a partner. The partner wants to build a dashboard that refreshes every 15 minutes. The table is updated by a streaming job that runs continuously. What is the best way to ensure the dashboard shows the latest data?
Select an answer first
25foundation · easy
How can a recipient access a Delta Share from a non-Databricks platform?
Select an answer first

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