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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. An engineer has two DataFrames: df1 (small) and df2 (large). A broadcast join is used:
python
CopyEdit
from pyspark.sql.functions import broadcast
result = df2.join(broadcast(df1), on='id', how='inner')
What is the purpose of using broadcast() in this scenario?
Options:

A) It reduces the number of shuffle operations by replicating the smaller DataFrame to all nodes.
B) It filters the id values before performing the join.
C) It ensures that the join happens only when the id values are identical.
D) It increases the partition size for df1 and df2.

2. 4 of 55.
A developer is working on a Spark application that processes a large dataset using SQL queries. Despite having a large cluster, the developer notices that the job is underutilizing the available resources. Executors remain idle for most of the time, and logs reveal that the number of tasks per stage is very low. The developer suspects that this is causing suboptimal cluster performance.
Which action should the developer take to improve cluster utilization?

A) Increase the value of spark.sql.shuffle.partitions
B) Increase the size of the dataset to create more partitions
C) Enable dynamic resource allocation to scale resources as needed
D) Reduce the value of spark.sql.shuffle.partitions

3. A data engineer needs to write a DataFrame df to a Parquet file, partitioned by the column country, and overwrite any existing data at the destination path.
Which code should the data engineer use to accomplish this task in Apache Spark?

A) df.write.mode("overwrite").parquet("/data/output")
B) df.write.mode("overwrite").partitionBy("country").parquet("/data/output")
C) df.write.partitionBy("country").parquet("/data/output")
D) df.write.mode("append").partitionBy("country").parquet("/data/output")

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

5. 45 of 55.
Which feature of Spark Connect should be considered when designing an application that plans to enable remote interaction with a Spark cluster?

A) It allows for remote execution of Spark jobs.
B) It can be used to interact with any remote cluster using the REST API.
C) It is primarily used for data ingestion into Spark from external sources.
D) It provides a way to run Spark applications remotely in any programming language.

Solutions: