Databricks Certified Data Engineer Associate
QUESTIONS AND CORRECT DETAILED
ANSWERS 2026 (VERIFIED ANSWERS)
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How does Lakehouse replace the dependency on using Data lakes
and Data warehouses in a Data and Analytics solution?
a. Open, direct access to data stored in standard data formats.
b. Supports ACID transactions.
c. Supports BI and Machine learning workloads
d. Support for end-to-end streaming and batch workloads
e. All the above......ANSWER.......e. All the above
xplanation
Lakehouse combines the benefits of a data warehouse and data
lakes,
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Lakehouse = Data Lake + DataWarehouse
Here are some of the major benefits of a lakehouse
You are currently working on storing data you received from
different customer surveys, this data is highly unstructured and
changes over time, why Lakehouse is a better choice compared to a
Data warehouse?
a. Lakehouse supports schema enforcement and evolution,
traditional data warehouses lack schema evolution.
b. Lakehouse supports SQL
c. Lakehouse supports ACID
d. Lakehouse enforces data integrity
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e. Lakehouse supports primary and foreign keys like a data
warehouse......ANSWER.......a. Lakehouse supports schema
enforcement and evolution, traditional data warehouses lack
schema evolution.
Which of the following locations hosts the driver and worker nodes
of a Databricks-managed cluster?
a. Data plane
b. Control plane
c. Databricks Filesystem
d. JDBC data source
e. Databricks web application......ANSWER.......a. Data plane
xplanation
The answer is Data Plane, which is where compute(all-
purpose, Job Cluster, DLT) are stored this is generally a
customer cloud account, there is one exception SQL
Warehouses, currently there are 3 types of SQL Warehouse
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compute available(classic, pro, serverless), in classic and pro
compute is located in customer cloud account but serverless
computed is located in Databricks cloud account.
You have written a notebook to generate a summary data set for
reporting, Notebook was scheduled using the job cluster, but you
realized it takes an average of 8 minutes to start the cluster, what
feature can be used to start the cluster in a timely fashion?
a. Setup an additional job to run ahead of the actual job so the
cluster is running second job starts
b. Use the Databricks cluster pools feature to reduce the startup
time
c. Use Databricks Premium edition instead of Databricks standard
edition