Die Microsoft DP-750 Zertifizierungsprüfung gehört zu den beliebtesten IT-Zertifizierungen. Viele ambitionierte IT-Fachleute wollen auch Microsoft DP-750 Prüfung bestehen. Viele Kandidaten sollen genügende Vorbereitungen treffen, um eine hohe Note zu bekommen und sich den Bedürfnissen des Marktes anzupassen.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Set up and configure an Azure Databricks environment | 15–20% | - Select and configure compute resources
|
| Topic 2: Prepare and process data | 30–35% | - Ingest and transform data
|
| Topic 3: Secure and govern Unity Catalog objects | 15–20% | - Manage data sharing and permissions
|
| Topic 4: Deploy and maintain data pipelines and workloads | 30–35% | - Monitor, troubleshoot, and maintain workloads
|
>> DP-750 Zertifizierungsantworten <<
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22. Frage
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?
Antwort: A
Begründung:
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.
23. Frage
You have an Azure Databricks workspace that is attached to a Unity Catalog metastore named metastore1, metastore1 contains a catalog named catalog1.
You need to create a new schema named schema2 that meets the following requirements:
- Is contained in catalog1
- Uses abfss://container@storageaccount.dfs.core.windows.net/data as
the managed location
Which SQL statement should you execute?
Antwort: D
Begründung:
To create a new schema with a specific managed location in Azure Databricks Unity Catalog, use the CREATE SCHEMA command.
CREATE SCHEMA catalog_name.schema_name
MANAGED LOCATION 'abfss://container@storageaccount.dfs.core.windows.net/data'; Catalog Name: Replace catalog_name with your existing catalog.
Schema Name: Replace schema_name with your desired new schema name.Quotes: The storage path must be enclosed in single quotes.
Privileges: You must have CREATE SCHEMA privileges on the parent catalog and ownership (or adequate permissions) on the external location.
Reference:
https://dev.to/encorepartners/creating-your-first-catalog-schema-and-tables-in-databricks-20p3
24. Frage
You have an Azure Databricks workspace that contains a job in Lakeflow Jobs named Job1. Job1 contains multiple tasks.
Failures of non-critical tasks must be logged but must NOT trigger notifications. Notifications must be triggered only when critical tasks have failed, and Job1 has completed You need to configure the job alerting behavior.
What should trigger a notification?
Antwort: C
Begründung:
The correct answer is B - a job failure.
The requirement draws a clear line: non-critical task failures should be logged silently; notifications should only fire when a critical failure causes the whole job to stop. Configuring the alert on 'Job Failure' achieves this precisely - the notification triggers when the job itself reaches a Failed terminal state, which only happens when at least one critical task has failed and the job cannot complete.
Option A (task failure) would send a notification for every task-level failure, including non-critical ones.
That's exactly the noise the question wants to avoid. Option C (job success) would never alert on failures at all. Option D (task success) confirms completion but doesn't catch failures.
Setting alerting at the job level rather than the task level is also simpler to configure - you don't need to mark individual tasks as critical or non-critical in the notification settings.
Reference: https://learn.microsoft.com/en-us/azure/databricks/jobs/alerts
25. Frage
You manage Declarative Automation Bundles by using the Databricks CLI.
You run the following command in a terminal window.
databricks bundle init
What occurs when you run the command?
Antwort: C
Begründung:
The databricks bundle init command initializes a new bundle project from a selected default or custom project template. It prompts for relevant project values and creates the local project structure and starter configuration files. It does not deploy resources; deployment is performed with databricks bundle deploy. It does not merely validate an existing configuration, because validation uses databricks bundle validate. Running deployed bundle resources requires databricks bundle run followed by the resource key. The distinction matters in an automated bundle lifecycle: initialization scaffolds the project, validation checks configuration, deployment creates or updates workspace resources, and run starts a configured job or pipeline. Therefore, option A accurately describes the initialization command's function. Microsoft Learn
26. Frage
Hotspot Question
You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to create an external volume named Volume1 in an existing schema. Volume1 must expose files from an Azure Storage container. The solution must meet the following requirements:
- Ensure that authentication does NOT require storing credentials in
Databricks.
- Ensure that users can access the files, but NOT modify the files.
- Follow the principle of least privilege.
Which type of authentication should you configure, and which permission should you grant to the users? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
27. Frage
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DP-750 Fragen Und Antworten: https://www.examfragen.de/DP-750-pruefung-fragen.html