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 2)
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 6–10
- 6
A developer needs to debug a Spark application that reads from a Kafka stream and writes to a Delta table. The developer wants to see driver logs and interact with the Spark UI in real time while the job runs. The job is small and the developer's workstation has sufficient memory and a stable connection to the cluster. Which deployment mode best suits this scenario?
Select an answer first - 7
In Apache Spark, what is the primary characteristic that distinguishes the three deployment modes (Client, Cluster, Local)?
Select an answer first - 8
A data scientist wants to test a new Spark transformation on a sample dataset before deploying it to a production cluster. The dataset fits in memory on the data scientist's laptop, and the test should complete quickly without requiring a cluster. Which deployment mode should the data scientist use?
Select an answer first - 9
A company runs a production Spark job that processes sensitive data. The job is submitted from a shared jump host that is not secured and is used by multiple teams. The company requires that the driver run in a secure, isolated environment managed by the cluster manager to prevent unauthorized access to the driver's logs and configuration. Which deployment mode should they use?
Select an answer first - 10
In Spark Client mode, where does the driver program run?
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