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

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

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q94-Q99):

NEW QUESTION # 94
A pipeline uses COPY INTO to ingest CSV files from cloud object storage into a Unity Catalog Delta table. Some files are occasionally re-uploaded with corrections using the same filename.
The engineer needs the corrected data ingested as soon as it occurs. What should the engineer do?

Answer: B

Explanation:
COPY INTO skips files it has already loaded, even when a file is modified and re-uploaded under the same name. Corrections should arrive as new files and then be applied to the target with update logic such as MERGE.


NEW QUESTION # 95
A data engineer needs access to a table new_table, but they do not have the correct permissions. They can ask the table owner for permission, but they do not know who the table owner is.
Which of the following approaches can be used to identify the owner of new_table?

Answer: A


NEW QUESTION # 96
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?

Answer: A

Explanation:
In the given command, a data engineer is trying to create a table in Databricks using data from an SQLite database. The correct option to fill in the blank is "sqlite" because it specifies the type of database being connected to in a JDBC connection string. The USING clause should be followed by the format of the data, and since we are connecting to an SQLite database, "sqlite" would be appropriate here. Reference:
Create a table using JDBC
JDBC connection string
SQLite JDBC driver


NEW QUESTION # 97
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?

Answer: E


NEW QUESTION # 98
A data engineer needs to apply custom logic to string column city in table stores for a specific use case. In order to apply this custom logic at scale, the data engineer wants to create a SQL user-defined function (UDF).
Which of the following code blocks creates this SQL UDF?

Answer: E

Explanation:
Explanation
https://www.databricks.com/blog/2021/10/20/introducing-sql-user-defined-functions.html


NEW QUESTION # 99
......

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