
DatabricksCertified Associate Developer for Apache Spark
Domain 1Objective 7
Identify the Features of the Apache Spark Modules, Including Core, Spark SQL, DataFrames, Pandas API on Spark, Structured Streaming, and MLib. ASSOCIATE-DEVELOPER-APACHE-SPARK Practice Questions (Page 2)
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 25 practice questions to prepare you well beyond it. (estimate)
25questions here
5free pages
6concepts
20%of the exam
Questions 6–10
- 6
Which of the following is a capability of MLlib?
Select an answer first - 7
A team is building a real-time fraud detection system. They are using Structured Streaming to process transactions. They need to join the streaming transaction data with a static DataFrame containing known fraudulent account IDs. They also need to ensure that the system can recover from a failure without reprocessing old data. Which approach should they use?
Select an answer first - 8
Which Spark module allows you to run SQL queries directly on data files and also provides the DataFrame API?
Select an answer first - 9
What is the purpose of the Pandas API on Spark?
Select an answer first - 10
What is a key characteristic of Structured Streaming?
Select an answer first
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