A Spark application is running with executors that have limited memory. The application caches a DataFrame and also performs a shuffle. The team notices that the cached data is evicted during the shuffle. What is the most likely reason?

The cached data was no longer needed

Execution memory needed more space and evicted storage memory blocks

The cluster manager forced eviction

The driver requested eviction to free memory

What is the primary function of worker nodes in a Spark cluster?

Compiling Spark code into bytecode

Executing tasks and storing data partitions

Running the main() function of the application

Managing the cluster's resource allocation

Which of the following is a use of memory in Spark executors?

Running the driver's main() function

Caching data for reuse across queries

Storing the application's source code

Managing the cluster's resource allocation

DatabricksCertified Associate Developer for Apache Spark

Domain 1Objective 2

Identify the Role of Core Components of Apache Spark™'s Architecture, Including Cluster, Driver Node, Worker Nodes/executors, CPU Cores, and Memory. ASSOCIATE-DEVELOPER-APACHE-SPARK Practice Questions (Page 1)

Part of the Apache Spark Architecture and Components domain, which accounts for 20% of the ASSOCIATE-DEVELOPER-APACHE-SPARK exam. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~7–12 in this domain), expect 1–2 from this objective — we provide 28 practice questions to prepare you well beyond it. (estimate)

28questions here

6free pages

6concepts

20%of the exam

Questions 1–5

1application · medium
A Spark application is running with executors that have limited memory. The application caches a DataFrame and also performs a shuffle. The team notices that the cached data is evicted during the shuffle. What is the most likely reason?
Select an answer first
2application · medium
A Spark application uses a large DataFrame that is cached in memory. Later, the application performs a shuffle operation that requires additional memory. Which memory region is used for the shuffle data?
Select an answer first
3foundation · easy
What is the primary function of worker nodes in a Spark cluster?
Select an answer first
4foundation · easy
Which of the following is a use of memory in Spark executors?
Select an answer first
5application · medium
A Spark application caches a frequently used DataFrame and also performs a shuffle-heavy join. The executors have limited memory, and the team observes that the cached data is being evicted during the shuffle. Which memory region is most likely being reclaimed to accommodate shuffle data?
Select an answer first

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Identify the Role of Core Components of Apache Spark™'s Architecture, Including Cluster, Driver Node, Worker Nodes/executors, CPU Cores, and Memory. ASSOCIATE-DEVELOPER-APACHE-SPARK Practice Questions (Page 1)

Questions 1–5

A Spark application is running with executors that have limited memory. The application caches a DataFrame and also performs a shuffle. The team notices that the cached data is evicted during the shuffle. What is the most likely reason?

A Spark application uses a large DataFrame that is cached in memory. Later, the application performs a shuffle operation that requires additional memory. Which memory region is used for the shuffle data?

What is the primary function of worker nodes in a Spark cluster?

Which of the following is a use of memory in Spark executors?

A Spark application caches a frequently used DataFrame and also performs a shuffle-heavy join. The executors have limited memory, and the team observes that the cached data is being evicted during the shuffle. Which memory region is most likely being reclaimed to accommodate shuffle data?

Keep studying — Apache Spark Architecture and Components