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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Set up and configure an Azure Databricks environment | 15-20% | - Create and configure Azure Databricks workspaces
|
| Topic 2: Prepare and process data | 30-35% | - Ingest and transform data
|
| Topic 3: Secure and govern Unity Catalog objects | 15-20% | - Implement governance and security
|
| Topic 4: Deploy and maintain data pipelines and workloads | 30-35% | - Manage production workloads
|
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NEW QUESTION # 49
Hotspot Question
You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to ensure that data lineage is captured and can be reviewed for tables accessed by Databricks notebooks and jobs. The solution must minimize administrative effort.
Which compute configuration should you use to capture the data lineage and what should you use to review the data lineage? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 50
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a managed Delta table named Table1. Table1 stores customer data.
You need to implement a data retention solution that meets the following requirements:
Deleted data must be retained for 30 days to support audits.
Deleted data that is older than 30 days must be removed permanently.
The solution must minimize administrative effort.
Which two properties should you configure? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,D
Explanation:
The correct answers are B and D. Delta Lake's data retention behaviour is controlled by two distinct properties that work together:
delta.deletedFileRetentionDuration governs how long physically deleted data files are kept before VACUUM can remove them. Setting this to 30 days ensures deleted records remain on storage for the full audit window.
delta.logRetentionDuration controls how long the transaction log is retained. Time-travel queries (SELECT ...
VERSION AS OF or TIMESTAMP AS OF) rely on the log to reconstruct historical table states - without 30 days of log, you can't query 30-day-old snapshots even if the data files are still there.
Both properties need to be set to 30 days to fully honour the requirement. Option A (delta.timeUntilArchived) doesn't exist in Delta Lake. Option C (autoCompact) manages file sizing, not retention. Option E (enableDeletionVectors) speeds up deletes but has no bearing on how long data is kept.
Reference: https://learn.microsoft.com/en-us/azure/databricks/delta/history#configure-data-retention
NEW QUESTION # 51
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.
Answer:
Explanation:
NEW QUESTION # 52
Your company has Sales, Finance, and HR departments.
You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to implement Unity Catalog to meet the following requirements:
* Access to Unity Catalog for each department must be managed independently from that of the other departments.
* The data assets of each department must be logically isolated from those of the other departments.
* The solution must support centralized governance.
What should you do for each department?
Answer: A
Explanation:
Create a separate catalog for each department, such as Sales, Finance, and HR. A catalog is the primary unit of data organization and logical isolation in Unity Catalog. Each catalog can contain its own schemas, tables, views, volumes, functions, and models. Catalog-level ownership and permissions can be assigned independently, allowing each department's access to be administered without granting access to the other departments' assets. Microsoft Learn All three catalogs remain registered in the same Unity Catalog metastore, preserving centralized governance, auditing, lineage, discovery, and access-control administration. A separate storage account is unnecessary because the requirement specifies logical rather than physical isolation. Dynamic views provide row- or column-level filtering but do not create an independent organizational and permission boundary for all departmental assets. Creating separate workspaces would add administrative complexity and is unnecessary because catalogs provide the required isolation within a centrally governed metastore.
Therefore, creating one catalog for each department provides independent access management, logical data separation, and centralized governance with the least administrative overhead.
NEW QUESTION # 53
What happens if incoming data violates Delta table schema?
Answer: D
Explanation:
Delta Lake enforces schema by default. If incoming data does not match schema, the write operation fails unless schema evolution is explicitly enabled. It does not auto-cast or append invalid data. Overwriting would require explicit command.
NEW QUESTION # 54
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