DatabricksCertified Data Engineer Associate
Domain 1Objective 2
Understand Databricks Data Intelligence Platform’s Compute Services, Including Their Characteristics, Limitations, and Cost Models, and Select the Most Suitable Option for Each Workload Use Case. DATA-ENGINEER-ASSOCIATE Practice Questions (Page 3)
Part of the Databricks Intelligence Platform domain, which accounts for 6% of the DATA-ENGINEER-ASSOCIATE exam. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~2–4 in this domain), expect 1–2 from this objective — we provide 15 practice questions to prepare you well beyond it. (estimate)
15questions here
3free pages
5concepts
6%of the exam
Questions 11–15
- 11
Which of the following is a limitation of Serverless Compute in Databricks?
Select an answer first - 12
A data engineering team needs to run a scheduled ETL job that processes a moderate amount of data every hour. The job is not latency-sensitive, but the team wants to minimize costs. They also need to use a custom library that is not available in the default Databricks runtime. Which compute option should they choose?
Select an answer first - 13
A team needs to run a one-time data transformation job using Python and Spark. They want to minimize operational overhead and do not want to manage cluster infrastructure. Which compute service is the most suitable?
Select an answer first - 14
Which compute service in Databricks typically has a higher per-DBU cost compared to Classic Compute, but offers the benefit of not requiring you to manage or scale clusters?
Select an answer first - 15
Which compute service in Databricks allows you to configure autoscaling and choose specific Databricks Runtime versions for your cluster?
Select an answer first
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