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Databricks Databricks-Certified-Data-Engineer-Professional Exam Overview:

Databricks Databricks-Certified-Data-Engineer-Professional Exam Syllabus Topics:

Databricks Certified Data Engineer Professional Sample Questions:

1. A junior data engineer is working to implement logic for a Lakehouse table named silver_device_recordings. The source data contains 100 unique fields in a highly nested JSON structure.
The silver_device_recordings table will be used downstream to power several production monitoring dashboards and a production model. At present, 45 of the 100 fields are being used in at least one of these applications.
The data engineer is trying to determine the best approach for dealing with schema declaration given the highly-nested structure of the data and the numerous fields.
Which of the following accurately presents information about Delta Lake and Databricks that may impact their decision-making process?

A) Because Databricks will infer schema using types that allow all observed data to be processed, setting types manually provides greater assurance of data quality enforcement.
B) Schema inference and evolution on .Databricks ensure that inferred types will always accurately match the data types used by downstream systems.
C) Human labor in writing code is the largest cost associated with data engineering workloads; as such, automating table declaration logic should be a priority in all migration workloads.
D) Because Delta Lake uses Parquet for data storage, data types can be easily evolved by just modifying file footer information in place.
E) The Tungsten encoding used by Databricks is optimized for storing string data; newly-added native support for querying JSON strings means that string types are always most efficient.

2. The data architect has mandated that all tables in the Lakehouse should be configured as external (also known as "unmanaged") Delta Lake tables.
Which approach will ensure that this requirement is met?

A) When configuring an external data warehouse for all table storage, leverage Databricks for all ELT.
B) When a database is being created, make sure that the LOCATION keyword is used.
C) When tables are created, make sure that the EXTERNAL keyword is used in the CREATE TABLE statement.
D) When data is saved to a table, make sure that a full file path is specified alongside the Delta format.
E) When the workspace is being configured, make sure that external cloud object storage has been mounted.

3. Which statement regarding spark configuration on the Databricks platform is true?

A) The Databricks REST API can be used to modify the Spark configuration properties for an interactive cluster without interrupting jobs.
B) Spark configuration properties can only be set for an interactive cluster by creating a global init script.
C) When the same spar configuration property is set for an interactive to the same interactive cluster.
D) Spark configuration set within an notebook will affect all SparkSession attached to the same interactive cluster
E) Spark configuration properties set for an interactive cluster with the Clusters UI will impact all notebooks attached to that cluster.

4. Which of the following technologies can be used to identify key areas of text when parsing Spark Driver log4j output?

A) Scala Datasets
B) Regex
C) Julia
D) C++
E) pyspsark.ml.feature

5. A junior developer complains that the code in their notebook isn't producing the correct results in the development environment. A shared screenshot reveals that while they're using a notebook versioned with Databricks Repos, they're using a personal branch that contains old logic. The desired branch named dev-2.3.9 is not available from the branch selection dropdown.
Which approach will allow this developer to review the current logic for this notebook?

A) Use Repos to merge the current branch and the dev-2.3.9 branch, then make a pull request to sync with the remote repository
B) Use Repos to pull changes from the remote Git repository and select the dev-2.3.9 branch.
C) Use Repos to make a pull request use the Databricks REST API to update the current branch to dev-2.3.9
D) Merge all changes back to the main branch in the remote Git repository and clone the repo again
E) Use Repos to checkout the dev-2.3.9 branch and auto-resolve conflicts with the current branch

Solutions: