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Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains two catalogs named Catalog1 and Catalog2.
An external application uses a service principal named SP1 to connect to a SQL warehouse.
You need to ensure that SP1 can query the data in Catalog1 and Catalog2. The solution must follow the principle of least privilege.
Which permissions should you grant to SP1 for the catalogs?

A) USE SCHEMA and SELECT
B) USE CATALOG and SELECT
C) USE CATALOG and USE SCHEMA
D) USE CATALOG, USE SCHEMA, and SELECT

2. Hotspot Question
You have an Azure Databricks workspace that contains an all-purpose cluster named Cluster1.
You discover that out-of-memory (OOM) errors intermittently cause jobs running on Cluster1 to fail.
You need to identify the root cause of the failures by analyzing the runtime execution behavior.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

3. You have an Azure Databricks workspace that contains a Delta table named Table1.
Table1 has accumulated obsolete files.
You need to reduce storage costs. The solution must preserve 30 days of time travel history.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Run the OPTIMIZE command on Table1.
B) Reduce the deleted file retention period to one day.
C) Set the delta.deletedFileRetentionDuration table property to 30 days.
D) Set the delta.logRetentionDuration table property to 30 days.
E) Run the vacuum command on Table1.

4. Which layer contains cleaned and conformed data in Databricks Lakehouse architecture?

A) Raw
B) Gold
C) Silver
D) Bronze

5. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You have a Lakeflow Spark Declarative Pipelines (SDP) pipeline that writes numerical data to a table named Table1 by using a data quality validation rule named rule1.
You need to modify rule1 to meet the following requirements:
- Ensure that amount is always greater than 0.
- Prevent an update to Table1 from being committed when data that
violates rule1 is detected.
Which statement should you execute?

A) @dlt.expect_or_drop("rule1", "amount > 0")
B) @dlt.expect_all_or_drop({"rule1": "amount > 0"})
C) @dlt.expect_or_fail("rule1", "amount > 0")
D) @dlt.expect("rule1", "amount > 0")

Solutions: