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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Secure and govern Unity Catalog objects | 15-20% | - Implement governance and security
|
| Topic 2: Set up and configure an Azure Databricks environment | 15-20% | - Create and configure Azure Databricks workspaces
|
| Topic 3: Deploy and maintain data pipelines and workloads | 30-35% | - Manage production workloads
|
| Topic 4: Prepare and process data | 30-35% | - Ingest and transform data
|
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NEW QUESTION # 72
You have an Azure Databricks workspace named Workspace1.
You have a user named User1 who is a non-admin user in Workspace1.
You need to ensure that User1 can perform the following tasks:
* Provision clusters of any size.
* Run Databricks jobs.
The solution must follow the principle of least privilege.
What should you do? To answer, drag the appropriate options to the correct requirements. Each option may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
Answer:
Explanation:
Explanation:
The Allow unrestricted cluster creation entitlement permits a non-admin user to create fully configurable compute resources rather than limiting the user to clusters governed by assigned compute policies. This enables User1 to provision clusters with the required size and configuration without granting the much broader workspace administrator role. Microsoft Learn The CAN RUN job permission permits User1 to execute the applicable Databricks jobs without allowing the user to edit job settings, delete jobs, change permissions, or perform other administrative operations. It is therefore the least-privileged job permission among the provided options.
The workspace admins role would grant excessive administrative control. Consumer access provides a restricted experience for consuming shared resources and does not authorize unrestricted cluster creation or job execution. The Azure Contributor role operates at the Azure resource-management level and does not grant the required permissions inside the Databricks workspace. Consequently, the unrestricted cluster- creation entitlement and the job-level run permission satisfy the requirements with minimum access.
NEW QUESTION # 73
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains two managed Delta tables named sales.schema1.table1 and sales.schema1.table2.
sales.schema1.table1 contains sales data from the current year.
sales.schema1.table2 contains historical data.
You need to load all the rows from sales.schema1.table1 into sales.schema1.table2. The solution must preserve any existing data in sales.schema1.table2 and minimize processing effort.
Which command should you run?
Answer: D
Explanation:
The correct answer is A - INSERT INTO.
INSERT INTO appends all rows from the source to the target. Existing rows in table2 are untouched - the historical data stays intact - and the current year's rows from table1 are added. That is exactly what the requirement asks: 'preserve any existing data and minimise processing effort.' Option B (CREATE TABLE AS SELECT) would fail if table2 already exists, or if used with CREATE OR REPLACE it wipes table2 entirely before writing - historical data gone. Option C (INSERT OVERWRITE) replaces the entire table content with only the table1 rows, also destroying table2's existing data. Option D (CREATE OR REPLACE TABLE AS SELECT) explicitly drops and recreates the table, eliminating all historical records.
INSERT INTO is deliberately the simplest possible command here - one line, no special options, no risk of accidental data loss.
Reference: https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-insert-into
NEW QUESTION # 74
Which feature helps reduce data scan during query execution in Delta Lake?
Answer: D
Explanation:
Delta Lake uses data skipping based on file-level statistics (min/max values). This reduces unnecessary file scans and improves query performance. VACUUM removes old files but does not improve query speed. Cluster restart has no impact on query optimization.
NEW QUESTION # 75
You have an Azure Databricks workspace named Workspace1 that is attached to a Unity Catalog metastore named metastore1 You need to register an Azure Storage account named account1 that has a hierarchical namespace enabled as an external location The external location must use a managed identity to authenticate to account1 and the solution must follow the principle of least privilege.
Which three actions should you perform in sequence' To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Registering an ADLS Gen2 account as an external location in Unity Catalog requires three steps in a specific order:
Step 1: Create a Databricks Access Connector. This Azure resource wraps a system-assigned or user-assigned managed identity. It is the credential-less authentication bridge between Databricks and Azure Storage - no SAS tokens or access keys are stored anywhere in the workspace.
Step 2: Create a Storage Credential in Unity Catalog that references the Access Connector. This object tells Unity Catalog 'use this identity when accessing storage.' The Storage Credential is the reusable authentication object.
Step 3: Create an External Location that maps a Unity Catalog path to the specific ADLS Gen2 container using the Storage Credential. This is the object that grants Databricks users access to files under that path, and it respects the principle of least privilege by scoping access to a specific container.
Reference: https://learn.microsoft.com/en-us/azure/databricks/connect/unity-catalog/storage-credentials
NEW QUESTION # 76
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 lifecycle solution that meets the following requirements:
* Deleted data must be recoverable for 30 days to support audits.
* Data that is older than 30 days must be removed permanently.
* The solution must minimize administrative effort.
* The solution must be enforced consistently.
What should you configure?
Answer: A
Explanation:
Data retention for Table1 should be configured to retain logically deleted Delta data files for 30 days. The delta.deletedFileRetentionDuration table property determines how long deleted or replaced files remain available before they become eligible for permanent removal by VACUUM. Configuring this property with a
30-day interval allows deleted data to remain recoverable through Delta Lake time travel during the required audit period. After the retention interval expires, VACUUM can permanently remove the unreferenced files.
Predictive optimization can automatically run VACUUM for Unity Catalog managed tables, minimizing administrative effort and applying the configured retention behavior consistently. learn.microsoft.com Scheduled DELETE operations logically remove records but do not independently delete their historical data files. Data lineage tracks relationships and transformations between data objects; it does not enforce lifecycle rules. Azure Storage lifecycle management is unaware of Delta transaction-log dependencies and must not be used to delete Delta files directly. Therefore, configuring table-level data retention is the correct solution.
NEW QUESTION # 77
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