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

Section	Weight	Objectives
Delta Lake Fundamentals	20-25%	- Explain Delta Lake features and benefits - Understand ACID transactions and time travel - Write to and read from Delta tables - Create and manage Delta tables
Spark SQL and DataFrames	15-20%	- Handle null values and data quality - Join and union DataFrames - Aggregate and group data - Write and execute Spark SQL queries
Lakehouse Platform Concepts	10-15%	- Understand the Lakehouse architecture and its benefits - Describe key Databricks Lakehouse platform components - Explain data governance and security concepts
Apache Spark Data Processing Fundamentals	20-25%	- Use Spark SQL for data processing - Work with structured data types (arrays, maps, structs) - Create and use Spark DataFrames - Apply transformations and actions on DataFrames
Data Pipeline Architecture	15-20%	- Implement incremental data processing - Design data pipelines for batch and streaming - Monitor and optimize pipeline performance - Understand ELT vs ETL patterns
Python for Data Engineering	10-15%	- Implement user-defined functions (UDFs) - Work with Spark APIs in Python - Use PySpark for data processing

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q105-Q110):

NEW QUESTION # 105
A departing platform owner currently holds ownership of multiple catalogs and controls storage credentials and external locations. The data engineer wants to ensure continuity: transfer catalog ownership to the platform team group, delegate ongoing privilege management, and retain the ability to receive and share data via Delta Sharing.
Which role must be in place to perform these actions across the metastore?

A. Catalog Owner, because catalog owners can transfer any object in any catalog in the metastore.
B. Workspace Admin, because workspace admins can transfer ownership of any Unity Catalog object.
C. Metastore Admin, because metastore admins can transfer ownership and manage privileges across all metastore objects, including shares and recipients.
D. Account Admin, because account admins can only create metastores but cannot change ownership of catalogs.

Answer: C

Explanation:
In Unity Catalog, the Metastore Admin role has the highest level of authority within a metastore and is responsible for governing all data assets registered in that metastore. Metastore admins can transfer ownership of catalogs, manage privileges across all securable objects (catalogs, schemas, tables, views), and administer storage credentials, external locations, and Delta Sharing objects such as shares and recipients. This makes the role essential when a platform owner departs and continuity must be maintained at an organizational level. Workspace admins (option B) manage workspace-level settings but do not automatically have authority over Unity Catalog ownership unless explicitly granted. Catalog owners (option D) are limited to a single catalog and cannot perform actions across the entire metastore. Account admins (option A) operate at the account level and are primarily responsible for creating metastores and assigning admins, not for day-to-day governance within an existing metastore. Databricks documentation clearly defines the Metastore Admin as the role required to centrally manage ownership, privileges, and data sharing across the metastore in Databricks.

NEW QUESTION # 106
A data engineer needs to create a table in Databricks using data from their organization's existing SQLite database.
They run the following command:

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

A. sqlite
B. org.apache.spark.sql.jdbc
C. org.apache.spark.sql.sqlite
D. DELTA
E. autoloader

Answer: B

Explanation:
Explanation
CREATE TABLE new_employees_table
USING JDBC
OPTIONS (
url "<jdbc_url>",
dbtable "<table_name>",
user '<username>',
password '<password>'
) AS
SELECT * FROM employees_table_vw
https://docs.databricks.com/external-data/jdbc.html#language-sql

NEW QUESTION # 107
A data engineer that is new to using Python needs to create a Python function to add two integers together and return the sum?
Which of the following code blocks can the data engineer use to complete this task?

Answer: B

Explanation:
https://www.w3schools.com/python/python_functions.asp
https://www.geeksforgeeks.org/python-functions/

NEW QUESTION # 108
A data engineer is using the following code block as part of a batch ingestion pipeline to read from a composable table:

Which of the following changes needs to be made so this code block will work when the transactions table is a stream source?

A. Replace format("delta") with format("stream")
B. Replace "transactions" with the path to the location of the Delta table
C. Replace predict with a stream-friendly prediction function
D. Replace schema(schema) with option ("maxFilesPerTrigger", 1)
E. Replace spark.read with spark.readStream

Answer: E

Explanation:
To read from a stream source, the data engineer needs to use the spark.readStream method instead of the spark.read method. The spark.readStream method returns a DataStreamReader object that can be used to specify the details of the input source, such as the format, the schema, the path, and the options. The spark.read method is only suitable for batch processing, not streaming processing. The other changes are not necessary or correct for reading from a stream source. References: Structured Streaming Programming Guide, Read a stream, Databricks Data Sources

NEW QUESTION # 109
A data engineer is developing an ETL process based on Spark SQL. The execution fails. The data engineer checks the Spark Ul and can see the ERRORS as follows:

Which two corrective actions should the data engineer perform to resolve this issue?
Choose 2 answers - (Q) Narrow the filters in order to collect less data in the query

A. Upsize the driver node and deactivate autoshuffle partitions
B. Upsize the worker nodes and activate autoshuffle partitions
C. Fix the shuffle partitions to 50 to ensure the allocation
D. Cache the dataset in order to boost the query performance

Answer: A,B

NEW QUESTION # 110
......

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