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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 data engineer observes that an upstream streaming source sends duplicate records, where duplicates share the same key and have at most a 30-minute difference in event_timestamp. The engineer adds:
dropDuplicatesWithinWatermark("event_timestamp", "30 minutes")
What is the result?

A) It accepts watermarks in seconds and the code results in an error
B) It removes all duplicates regardless of when they arrive
C) It removes duplicates that arrive within the 30-minute window specified by the watermark
D) It is not able to handle deduplication in this scenario

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

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

3. A data engineer is working on a Streaming DataFrame streaming_df with the given streaming data:

Which operation is supported with streamingdf ?

A) streaming_df. select (countDistinct ("Name") )
B) streaming_df.orderBy("timestamp").limit(4)
C) streaming_df.groupby("Id") .count ()
D) streaming_df.filter (col("count") < 30).show()

4. 11 of 55.
Which Spark configuration controls the number of tasks that can run in parallel on an executor?

A) spark.executor.cores
B) spark.executor.memory
C) spark.sql.shuffle.partitions
D) spark.task.maxFailures

5. A data engineer needs to persist a file-based data source to a specific location. However, by default, Spark writes to the warehouse directory (e.g., /user/hive/warehouse). To override this, the engineer must explicitly define the file path.
Which line of code ensures the data is saved to a specific location?
Options:

A) users.write.saveAsTable("default_table").option("path", "/some/path")
B) users.write.option("path", "/some/path").saveAsTable("default_table")
C) users.write.saveAsTable("default_table", path="/some/path")
D) users.write(path="/some/path").saveAsTable("default_table")

Solutions: