A company is planning to expose a Spark Connect endpoint to external partners. They have strict security requirements, including the need to authenticate each partner and audit their activity. What should they implement?

Use basic authentication with a single username and password.

Use a VPN for all partners and rely on the VPN's authentication.

Use mutual TLS (mTLS) for authentication and enable detailed logging on the Spark Connect server.

Use a shared API key for all partners and disable logging to reduce overhead.

A company wants to allow external partners to run Spark jobs on their cluster without giving them access to the cluster's internal network. They plan to use Spark Connect. Which security measure is essential to protect the Spark Connect endpoint?

Use a shared secret in the connection string.

Enable authentication and TLS encryption on the Spark Connect endpoint.

Restrict the number of concurrent connections.

Disable the Spark UI to prevent information leakage.

Which of the following is a key benefit of Spark Connect?

It allows clients to be upgraded independently of the server

It requires all clients to use the same programming language

It eliminates the need for a cluster manager

It automatically scales the cluster based on workload

How do you create a Spark session using the Spark Connect API in Python?

SparkSession.builder.remote("sc://localhost").getOrCreate()

SparkSession.builder.connect("sc://localhost").getOrCreate()

SparkSession.builder.master("local[*]").getOrCreate()

SparkSession.builder.appName("myapp").getOrCreate()

How does Spark Connect change the way Spark applications are deployed?

Applications must be written in Scala to use Spark Connect

Applications can run outside the cluster and connect to Spark remotely

Applications run inside the Spark driver process

Applications must be submitted to the cluster using spark-submit

DatabricksCertified Associate Developer for Apache Spark

Domain 6Objective 1

Describe the Features of Spark Connect. ASSOCIATE-DEVELOPER-APACHE-SPARK Practice Questions (Page 3)

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 19 practice questions to prepare you well beyond it. (estimate)

19questions here

4free pages

4concepts

5%of the exam

Questions 11–15

11expert · hard
A company is planning to expose a Spark Connect endpoint to external partners. They have strict security requirements, including the need to authenticate each partner and audit their activity. What should they implement?
Select an answer first
12application · medium
A company wants to allow external partners to run Spark jobs on their cluster without giving them access to the cluster's internal network. They plan to use Spark Connect. Which security measure is essential to protect the Spark Connect endpoint?
Select an answer first
13foundation · easy
Which of the following is a key benefit of Spark Connect?
Select an answer first
14foundation · easy
How do you create a Spark session using the Spark Connect API in Python?
Select an answer first
15foundation · easy
How does Spark Connect change the way Spark applications are deployed?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to ASSOCIATE-DEVELOPER-APACHE-SPARK

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by Databricks. “ASSOCIATE-DEVELOPER-APACHE-SPARK” is a trademark of its owner, used for identification only.