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Databricks Associate-Developer-Apache-Spark-3.5 Exam Syllabus Topics:

Databricks Certified Associate Developer for Apache Spark 3.5 - Python Sample Questions:

1. A Spark application developer wants to identify which operations cause shuffling, leading to a new stage in the Spark execution plan.
Which operation results in a shuffle and a new stage?

A) DataFrame.filter()
B) DataFrame.select()
C) DataFrame.groupBy().agg()
D) DataFrame.withColumn()

2. 28 of 55.
A data analyst builds a Spark application to analyze finance data and performs the following operations:
filter, select, groupBy, and coalesce.
Which operation results in a shuffle?

A) groupBy
B) filter
C) coalesce
D) select

3. A Spark engineer is troubleshooting a Spark application that has been encountering out-of-memory errors during execution. By reviewing the Spark driver logs, the engineer notices multiple "GC overhead limit exceeded" messages.
Which action should the engineer take to resolve this issue?

A) Optimize the data processing logic by repartitioning the DataFrame.
B) Cache large DataFrames to persist them in memory.
C) Increase the memory allocated to the Spark Driver.
D) Modify the Spark configuration to disable garbage collection

4. Given this view definition:
df.createOrReplaceTempView("users_vw")
Which approach can be used to query the users_vw view after the session is terminated?
Options:

A) Save the users_vw definition and query using Spark
B) Persist the users_vw data as a table
C) Recreate the users_vw and query the data using Spark
D) Query the users_vw using Spark

5. 21 of 55.
What is the behavior of the function date_sub(start, days) if a negative value is passed into the days parameter?

A) The same start date will be returned.
B) The number of days specified will be added to the start date.
C) The number of days specified will be removed from the start date.
D) An error message of an invalid parameter will be returned.

Solutions: