A Spark application is configured with 10 executors, each with 4 cores and 8 GB of memory. The application performs a series of map and filter transformations. Which component directly runs the tasks for these transformations?

The worker node's operating system

A Spark application is running on a cluster. The driver node is responsible for coordinating task execution. The application is experiencing a bottleneck where tasks are not being scheduled efficiently. The team suspects the driver is overloaded. Which action would most directly reduce the driver's workload?

Increase the memory of the executors

Reduce the number of tasks by increasing partition size

Move the driver to a different worker node

Increase the number of executors

A Spark application is running with executors that each have 2 cores. The application has a stage with 100 tasks. How many tasks can run concurrently within a single executor?

Depends on the memory available

What is a primary responsibility of the Spark driver node?

Storing the data partitions for the application

Executing the individual tasks of a Spark job

Coordinating task execution across the cluster

Providing the physical hardware for the cluster

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 3)

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 11–15

11application · medium
A Spark application is configured with 10 executors, each with 4 cores and 8 GB of memory. The application performs a series of map and filter transformations. Which component directly runs the tasks for these transformations?
Select an answer first
12expert · hard
A Spark application is running on a cluster. The driver node is responsible for coordinating task execution. The application is experiencing a bottleneck where tasks are not being scheduled efficiently. The team suspects the driver is overloaded. Which action would most directly reduce the driver's workload?
Select an answer first
13application · medium
A Spark application is running with executors that each have 2 cores. The application has a stage with 100 tasks. How many tasks can run concurrently within a single executor?
Select an answer first
14application · medium
A team is setting up a new Spark environment. They have a set of machines that will be used to run Spark applications. They plan to have one machine act as the driver and the rest as workers. What is the collection of these machines collectively called?
Select an answer first
15foundation · easy
What is a primary responsibility of the Spark driver node?
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 3)

Questions 11–15

A Spark application is configured with 10 executors, each with 4 cores and 8 GB of memory. The application performs a series of map and filter transformations. Which component directly runs the tasks for these transformations?

A Spark application is running with executors that each have 2 cores. The application has a stage with 100 tasks. How many tasks can run concurrently within a single executor?

A team is setting up a new Spark environment. They have a set of machines that will be used to run Spark applications. They plan to have one machine act as the driver and the rest as workers. What is the collection of these machines collectively called?

What is a primary responsibility of the Spark driver node?

Keep studying — Apache Spark Architecture and Components