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Databricks Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:

SectionWeightObjectives
Spark SQL and DataFrames15-20%- Write and execute Spark SQL queries
- Join and union DataFrames
- Handle null values and data quality
- Aggregate and group data
Delta Lake Fundamentals20-25%- Explain Delta Lake features and benefits
- Create and manage Delta tables
- Write to and read from Delta tables
- Understand ACID transactions and time travel
Python for Data Engineering10-15%- Implement user-defined functions (UDFs)
- Work with Spark APIs in Python
- Use PySpark for data processing
Apache Spark Data Processing Fundamentals20-25%- Create and use Spark DataFrames
- Work with structured data types (arrays, maps, structs)
- Use Spark SQL for data processing
- Apply transformations and actions on DataFrames
Data Pipeline Architecture15-20%- Implement incremental data processing
- Understand ELT vs ETL patterns
- Design data pipelines for batch and streaming
- Monitor and optimize pipeline performance
Lakehouse Platform Concepts10-15%- Explain data governance and security concepts
- Understand the Lakehouse architecture and its benefits
- Describe key Databricks Lakehouse platform components

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最新的 Databricks Certification Databricks-Certified-Data-Engineer-Associate 免費考試真題 (Q136-Q141):

問題 #136
A data engineer needs to use a Delta table as part of a data pipeline, but they do not know if they have the appropriate permissions.
In which of the following locations can the data engineer review their permissions on the table?

答案：A

解題說明：
Data Explorer is a graphical interface that allows you to browse, create, and manage data objects such as databases, tables, and views in your workspace. You can also review and modify the permissions on these data objects using Data Explorer. To access Data Explorer, you can click on the Data icon in the sidebar, or use the %sql magic command in a notebook. You can then select a database and a table, and click on the Permissions tab to view and edit the access control lists (ACLs) for the table. You can also use SQL commands such as SHOW GRANT and GRANT to query and modify the permissions on a Delta table. Reference:
Data Explorer
Access control for Delta tables
SHOW GRANT
[GRANT]


問題 #137
A production ETL notebook runs once nightly and currently executes on a shared all-purpose cluster that stays running 24 hours a day.
Which change reduces cost while preserving the schedule?

答案：A

解題說明：
Job clusters are provisioned when the job run starts and terminated when it completes, so compute is billed only for the run duration and at the lower Jobs Compute rate. All-purpose clusters left running continuously are billed at a higher rate even when idle.


問題 #138
A Lakeflow Jobs workflow fails at the last task because of an error in a notebook task. This workflow is scheduled to run daily. The data engineer fixes the notebook and wants to rerun the pipeline. This workflow is very compute-intensive and expensive to run. Which action should the data engineer take in order to minimize downtime and compute cost?

答案：B

解題說明：
Repair run allows rerunning only the failed task and any dependent tasks instead of executing the entire workflow again, minimizing compute cost and downtime while preserving the original run context.


問題 #139
A data engineering team is designing the Gold layer in their Unity Catalog-governed lakehouse for downstream BI and analytics users. The team wants to expose business-ready metrics with fast query performance and consistent definitions, while keeping the transformation logic in Spark notebooks. Which type of Gold layer object meets this requirement?

答案：B

解題說明：
A materialized view stores precomputed Gold-layer aggregations, providing BI tools with fast queries and centrally defined, consistent business results while allowing the transformation logic to remain in Databricks notebooks.


問題 #140
A data engineer needs to create a table in Databricks using data from a CSV file at location /path/to/csv.
They run the following command:

Which of the following lines of code fills in the above blank to successfully complete the task?

答案：E


問題 #141
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