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

2. A data engineer is reviewing a Spark application that applies several transformations to a DataFrame but notices that the job does not start executing immediately.
Which two characteristics of Apache Spark's execution model explain this behavior?
Choose 2 answers:

A) The Spark engine optimizes the execution plan during the transformations, causing delays.
B) Transformations are evaluated lazily.
C) The Spark engine requires manual intervention to start executing transformations.
D) Only actions trigger the execution of the transformation pipeline.
E) Transformations are executed immediately to build the lineage graph.

3. 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) filter
B) groupBy
C) coalesce
D) select

4. A Spark developer is building an app to monitor task performance. They need to track the maximum task processing time per worker node and consolidate it on the driver for analysis.
Which technique should be used?

A) Configure the Spark UI to automatically collect maximum times
B) Use an RDD action like reduce() to compute the maximum time
C) Use an accumulator to record the maximum time on the driver
D) Broadcast a variable to share the maximum time among workers

5. A data engineer replaces the exact percentile() function with approx_percentile() to improve performance, but the results are drifting too far from expected values.
Which change should be made to solve the issue?

A) Decrease the value of the accuracy parameter in order to decrease the memory usage but also improve the accuracy
B) Decrease the first value of the percentage parameter to increase the accuracy of the percentile ranges
C) Increase the last value of the percentage parameter to increase the accuracy of the percentile ranges
D) Increase the value of the accuracy parameter in order to increase the memory usage but also improve the accuracy

Solutions: