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

SectionObjectives
Data Governance and Quality- Unity Catalog basics
- Data access control and governance
- Data quality concepts and management
Productionizing Data Pipelines- Pipeline deployment and operationalization
- Databricks Workflows / Jobs orchestration
- Scheduling and monitoring jobs
Data Processing and Transformations- Apache Spark SQL operations (joins, aggregations, filtering)
- Delta Lake fundamentals (tables, transactions, optimization)
- PySpark DataFrame transformations
- User-defined functions (UDFs)
Data Ingestion and ELT Development- Handling structured and semi-structured data
- ETL patterns and transformations
- Data ingestion using Spark SQL and PySpark
Databricks Lakehouse Platform Fundamentals- Workspace, architecture, and core platform concepts
- Clusters, notebooks, and basic Databricks environment usage

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q260-Q265):

NEW QUESTION # 260
Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?

Answer: A

Explanation:
The best practice is to use "Complete" as output mode instead of "append" when working with aggregated tables. Since gold layer is work final aggregated tables, the only option with output mode as complete is option


NEW QUESTION # 261
A data engineer has a Job that has a complex run schedule, and they want to transfer that schedule to other Jobs.
Rather than manually selecting each value in the scheduling form in Databricks, which of the following tools can the data engineer use to represent and submit the schedule programmatically?

Answer: E

Explanation:
Cron syntax is a tool that can be used to represent and submit a complex run schedule programmatically. Cron syntax is a string of six fields that specify the frequency, date, and time of a job run. For example, the cron expression 0 0 12 * * ? means run the job at 12:00 PM every day. The data engineer can use the Databricks REST API to create or update a job with a cron schedule. The data engineer can also use the Databricks CLI to create or update a job with a cron schedule by using a JSON file that contains the cron expression. The other tools are either invalid or not suitable for representing and submitting a complex run schedule programmatically. References: Schedule a job, Jobs API, Databricks CLI, Cron expressions


NEW QUESTION # 262
A data engineer runs df.toPandas() on a wide DataFrame containing 50 million rows. The notebook cell fails with a java.lang.OutOfMemoryError on the driver. Which memory configuration is directly responsible for this failure?

Answer: B

Explanation:
df.toPandas() collects the entire DataFrame into the driver process. A 50-million-row wide dataset exceeds available spark.driver.memory, causing the driver-side OutOfMemoryError.


NEW QUESTION # 263
A data engineer has been given a new record of data:
id STRING = 'a1'
rank INTEGER = 6
rating FLOAT = 9.4
Which of the following SQL commands can be used to append the new record to an existing Delta table my_table?

Answer: A


NEW QUESTION # 264
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: B


NEW QUESTION # 265
......

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