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Databricks Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Data Processing & Transformations | 31% | - Query optimization and performance
- 1. Optimization strategies
- 2. Understanding query plans
- Data transformation techniques
- 1. Complex data processing logic
- 2. Aggregations, joins, and window functions
- 3. DataFrame operations and transformations
|
| Development and Ingestion | 30% | - Data ingestion patterns and methods
- 1. Batch and streaming ingestion
- 2. Delta Lake basics and usage
- 3. Connecting to external data sources
- Notebook development fundamentals
- 1. Data exploration and validation
- 2. Using PySpark and Spark SQL
|
| Data Governance & Quality | 11% | - Unity Catalog implementation
- 1. Data governance model
- 2. Permissions and access control
- Data quality and reliability
- 1. Data validation and quality checks
- 2. Schema enforcement and evolution
|
| Productionizing Data Pipelines | 18% | - Monitoring and troubleshooting
- 1. Logging and error handling
- 2. Pipeline reliability and recovery
- Deployment and CI/CD
- 1. Version control integration
- 2. Databricks Asset Bundles
- Workflow orchestration
- 1. Lakeflow Jobs creation and management
- 2. Scheduling, triggers, and dependencies
|
| Databricks Intelligence Platform | 10% | - Platform architecture and core concepts
- 1. Compute options: clusters, SQL warehouses, serverless
- 2. Workspace navigation and management
- 3. Data layout and optimization: partitioning, file sizing, caching
|
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Databricks Certified Data Engineer Associate Exam Databricks-Certified-Data-Engineer-Associate Prüfungsfragen mit Lösungen (Q254-Q259):
254. Frage
A data engineer has developed a Python notebook in a Databricks workspace and has configured it to run as a scheduled Job to process daily sales data. How are the storage and execution of this notebook managed within the Databricks architecture?
- A. The notebook is stored unencrypted in the workspace storage bucket, and the code executes on the cluster driver node in the compute plane when the job runs.
- B. The notebook is stored securely and encrypted in the control plane, and the code executes in the compute plane when the job runs.
- C. The notebook is stored securely and encrypted in the compute plane, and the code executes in the control plane when the job runs.
- D. The notebook is stored securely and encrypted in Unity Catalog, and the code executes in Delta Lake when the job runs.
Antwort: B
Begründung:
Databricks workspace notebooks and their metadata are securely stored and encrypted in the control plane. When the scheduled job runs, the notebook code is executed on Databricks compute in the compute plane, where data processing occurs.
255. Frage
Which of the following describes the type of workloads that are always compatible with Auto Loader?
- A. Dashboard workloads
- B. Streaming workloads
- C. Machine learning workloads
- D. Serverless workloads
- E. Batch workloads
Antwort: B
256. Frage
In order for Structured Streaming to reliably track the exact progress of the processing so that it can handle any kind of failure by restarting and/or reprocessing, which of the following two approaches is used by Spark to record the offset range of the data being processed in each trigger?
- A. Replayable Sources and Idempotent Sinks
- B. Structured Streaming cannot record the offset range of the data being processed in each trigger.
- C. Checkpointing and Idempotent Sinks
- D. Checkpointing and Write-ahead Logs
- E. Write-ahead Logs and Idempotent Sinks
Antwort: D
257. Frage
A data engineer needs to provide access to a group named manufacturing-team. The team needs privileges to create tables in the quality schema.
Which set of SQL commands will grant a group named manufacturing-team to create tables in a schema named production with the parent catalog named manufacturing with the least privileges?
- A. GRANT CREATE TABLE ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT CREATE SCHEMA ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT USE CATALOG ON CATALOG manufacturing TO manufacturing-team;
- B. GRANT USE TABLE ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT USE SCHEMA ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT USE CATALOG ON CATALOG manufacturing TO manufacturing-team;
- C. GRANT CREATE TABLE ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT CREATE SCHEMA ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT CREATE CATALOG ON CATALOG manufacturing TO manufacturing-team;
- D. GRANT CREATE TABLE ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT USE SCHEMA ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT USE CATALOG ON CATALOG manufacturing TO manufacturing-team;
Antwort: D
Begründung:
To create a table within a schema, a principal must have CREATE TABLE on the schema, USE SCHEMA on that schema, and USE CATALOG on the parent catalog. This combination ensures the group has just enough privileges to create objects in that schema without excessive permissions like CREATE SCHEMA or CREATE CATALOG.
Reference Source: Databricks Unity Catalog Privilege Model - "Privileges Required to Create a Table."
258. Frage
A data engineer is designing a Databricks Job that includes a Notebook task for data cleansing and a SQL Query task for generating a summary report. The summary report must only execute after the cleansing task completes successfully. How should the dependency be configured in the Lakeflow Jobs task graph?
- A. Set both tasks to run on the same schedule with a five-minute start delay for the report.
- B. Configure the cleansing task to use an 'On Failure' trigger to start the summary report.
- C. Place both tasks in the same notebook and use a standard Python function call.
- D. Select the cleansing task as a 'Run if' dependency in the summary report task configuration.
Antwort: D
Begründung:
Configure the summary report task to depend on the cleansing task and use the default Run if: All succeeded condition. This ensures the SQL task runs only after the notebook task completes successfully.
259. Frage
......
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