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

1. What is the benefit of Adaptive Query Execution (AQE)?

A) It enables the adjustment of the query plan during runtime, handling skewed data, optimizing join strategies, and improving overall query performance.
B) It optimizes query execution by parallelizing tasks and does not adjust strategies based on runtime metrics like data skew.
C) It automatically distributes tasks across nodes in the clusters and does not perform runtime adjustments to the query plan.
D) It allows Spark to optimize the query plan before execution but does not adapt during runtime.

2. Given the code:

df = spark.read.csv("large_dataset.csv")
filtered_df = df.filter(col("error_column").contains("error"))
mapped_df = filtered_df.select(split(col("timestamp")," ").getItem(0).alias("date"), lit(1).alias("count")) reduced_df = mapped_df.groupBy("date").sum("count") reduced_df.count() reduced_df.show() At which point will Spark actually begin processing the data?

A) When the groupBy transformation is applied
B) When the count action is applied
C) When the show action is applied
D) When the filter transformation is applied

3. Which configuration can be enabled to optimize the conversion between Pandas and PySpark DataFrames using Apache Arrow?

A) spark.conf.set("spark.sql.execution.arrow.pyspark.enabled", "true")
B) spark.conf.set("spark.sql.execution.arrow.enabled", "true")
C) spark.conf.set("spark.sql.arrow.pandas.enabled", "true")
D) spark.conf.set("spark.pandas.arrow.enabled", "true")

4. A data analyst builds a Spark application to analyze finance data and performs the following operations:filter, select,groupBy, andcoalesce.
Which operation results in a shuffle?

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

5. A data engineer is building a Structured Streaming pipeline and wants the pipeline to recover from failures or intentional shutdowns by continuing where the pipeline left off.
How can this be achieved?

A) By configuring the optioncheckpointLocationduringreadStream
B) By configuring the optionrecoveryLocationduringwriteStream
C) By configuring the optioncheckpointLocationduringwriteStream
D) By configuring the optionrecoveryLocationduring the SparkSession initialization

Solutions: