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

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

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q86-Q91):

NEW QUESTION # 86
Which file format is used for storing Delta Lake Table?

Answer: D


NEW QUESTION # 87
A data engineer wants to delete records from a Delta table where the status column equals
"inactive". The operation should modify only the affected rows without rewriting the entire dataset.
Which SQL command should be used?

Answer: D


NEW QUESTION # 88
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?

Answer: B


NEW QUESTION # 89
A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.
The code block used by the data engineer is below:

If the data engineer only wants the query to execute a micro-batch to process data every 5 seconds, which of the following lines of code should the data engineer use to fill in the blank?

Answer: B


NEW QUESTION # 90
A data engineer is attempting to grant a user access to a view. They successfully run the following command:
GRANT SELECT ON VIEW sales_catalog.market_data.summary
TO analyst_group;
However, the analyst still receives an "Insufficient Permissions" error when trying to query the view.
In which order should the engineer verify the hierarchy of securable objects to ensure that the analyst has the necessary usage permissions?

Answer: B


NEW QUESTION # 91
......

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