DatabricksCertified Associate Developer for Apache Spark
Domain 6Objective 2
Describe the Different Deployment Mode Types (Client, Cluster, Local) in the Apache Spark™ Environment. ASSOCIATE-DEVELOPER-APACHE-SPARK Practice Questions (Page 1)
Part of the Using Spark Connect to deploy applications domain, which accounts for 5% of the ASSOCIATE-DEVELOPER-APACHE-SPARK exam. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~2–3 in this domain), expect 1–2 from this objective — we provide 16 practice questions to prepare you well beyond it. (estimate)
16questions here
4free pages
5concepts
5%of the exam
Questions 1–5
- 1
Which deployment mode is most appropriate for running a quick unit test of a Spark DataFrame transformation on a developer's workstation?
Select an answer first - 2
What is a primary benefit of running the driver in Cluster mode compared to Client mode?
Select an answer first - 3
A team is developing a Spark application that will be deployed to a production cluster. The team wants to test the application in an environment that closely mimics production, including the cluster manager's resource scheduling, but without the overhead of a full cluster. They have a single powerful server available. Which deployment mode should they use for this test?
Select an answer first - 4
A company has a Spark job that must be submitted from a laptop that is on a different network than the cluster. The laptop can reach the cluster's master node, but not the worker nodes. The job requires the driver to communicate with executors on the worker nodes. Which deployment mode will work in this scenario?
Select an answer first - 5
Which of the following correctly lists the three deployment modes available in Apache Spark?
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