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Microsoft DP-750 Exam Syllabus Topics:
Section
Weight
Objectives
Deploy and maintain data pipelines and workloads
30-35%
- Manage production workloads
1. Deploy workloads using Databricks Asset Bundles
2. Monitor and troubleshoot pipelines
3. Implement CI/CD processes
4. Optimize workload performance and reliability
5. Integrate Git-based development workflows
6. Maintain production data engineering solutions
7. Create and manage Lakeflow Jobs
Prepare and process data
30-35%
- Ingest and transform data
1. Apply medallion architecture patterns
2. Transform data using SQL and Python
3. Use Auto Loader and batch ingestion
4. Optimize storage and table performance
5. Model and partition data
6. Implement Delta Lake tables
7. Implement data quality controls
8. Implement streaming data processing
Set up and configure an Azure Databricks environment
15-20%
- Create and configure Azure Databricks workspaces
1. Configure workspace settings
2. Configure networking and connectivity
3. Manage Databricks runtimes
4. Configure compute resources and clusters
Secure and govern Unity Catalog objects
15-20%
- Implement governance and security
1. Configure Unity Catalog
2. Implement access control and permissions
3. Manage catalogs, schemas, and tables
4. Manage data lineage and auditing
5. Implement data-sharing capabilities
Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:
You have an Azure Databricks workspace that contains an all-purpose cluster named Cluster! You need to configure Cluster1 to meet the following requirements; * The cluster must scale up automatically when workloads increase. * The cluster must scale down automatically when workloads decrease. The solution must minimize costs. Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. Enable autoscaling for Cluster1.
B. Specify a fixed number of workers.
C. Disable Photon acceleration.
D. Apply a compute policy that enables users to manage the cluster settings.
E. Configure Cluster1 to terminate after 30 minutes of inactivity.
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You need to develop the task logic for a new job in Lakeflow Jobs that processes telemetry data. Each task must contain only the appropriate logic for its step in the pipeline. The solution must support the planned changes and meet the data ingestion and processing requirements. What should you do?
A. Create three tasks that each contains the identical logic and use task retries.
B. Create separate tasks for ingestion, cleansing, and curation.
C. Use a single SQL task that performs ingestion, cleansing, and curation by running merge commands.
D. Use a single Databricks notebook task that performs ingestion, cleansing, and curation in one script.
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You have an Azure Databricks workspace that contains the objects shown in the following table. Name | Type Catalog1 | Catalog Schema1 | Schema Sales1 | Table Notebook1 | Notebook Space1 | AI/BI Genie space Users often use the following words to refer to a sale: transaction, event, order, and invoice. You need to create a knowledge store. The solution must ensure that when the users use any of the words in Space1, Genie queries the Sales1 table. Any other Genie spaces must remain unaffected. To which object should you add the instructions?
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You have an Azure Databricks workspace that uses Unity Catalog. You have a Lakeflow Spark Declarative Pipelines (SDP) pipeline that ingests data into a managed Delta table named Table1. Table1 is used for analytics. New columns are added to the source data, causing pipeline failures during writes to Table1. You need to prevent the pipeline failures. The solution must ensure that schema changes are detected and handled. What should you do?
A. Use row filters to exclude records that have new columns.
B. Disable schema enforcement for Table1.
C. Enable schema evolution.
D. Create a separate table for each schema version.
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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?
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