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

1. A developer notices that all the post-shuffle partitions in a dataset are smaller than the value set forspark.sql.
adaptive.maxShuffledHashJoinLocalMapThreshold.
Which type of join will Adaptive Query Execution (AQE) choose in this case?

A) A broadcast nested loop join
B) A shuffled hash join
C) A sort-merge join
D) A Cartesian join

2. Which feature of Spark Connect is considered when designing an application to enable remote interaction with the Spark cluster?

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

3. A data engineer is running a Spark job to process a dataset of 1 TB stored in distributed storage. The cluster has 10 nodes, each with 16 CPUs. Spark UI shows:
Low number of Active Tasks
Many tasks complete in milliseconds
Fewer tasks than available CPUs
Which approach should be used to adjust the partitioning for optimal resource allocation?

A) Set the number of partitions by dividing the dataset size (1 TB) by a reasonable partition size, such as
128 MB
B) Set the number of partitions equal to the total number of CPUs in the cluster
C) Set the number of partitions to a fixed value, such as 200
D) Set the number of partitions equal to the number of nodes in the cluster

4. A developer is running Spark SQL queries and notices underutilization of resources. Executors are idle, and the number of tasks per stage is low.
What should the developer do to improve cluster utilization?

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

5. A data engineer is running a batch processing job on a Spark cluster with the following configuration:
10 worker nodes
16 CPU cores per worker node
64 GB RAM per node
The data engineer wants to allocate four executors per node, each executor using four cores.
What is the total number of CPU cores used by the application?

A) 40
B) 80
C) 64
D) 160

Solutions: