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

Databricks Certified Data Engineer Professional Sample Questions:

1. The data engineer team has been tasked with configured connections to an external database that does not have a supported native connector with Databricks. The external database already has data security configured by group membership. These groups map directly to user group already created in Databricks that represent various teams within the company. A new login credential has been created for each group in the external database. The Databricks Utilities Secrets module will be used to make these credentials available to Databricks users. Assuming that all the credentials are configured correctly on the external database and group membership is properly configured on Databricks, which statement describes how teams can be granted the minimum necessary access to using these credentials?

A) "Read" permissions should be set on a secret scope containing only those credentials that will be used by a given team.
B) No additional configuration is necessary as long as all users are configured as administrators in the workspace where secrets have been added.
C) "Read'' permissions should be set on a secret key mapped to those credentials that will be used by a given team.
D) "Manage" permission should be set on a secret scope containing only those credentials that will be used by a given team.

2. Which statement describes a key benefit of an end-to-end test?

A) It provides testing coverage for all code paths and branches.
B) It closely simulates real world usage of your application.
C) It pinpoint errors in the building blocks of your application.
D) It makes it easier to automate your test suite

3. A data architect has heard about lake's built-in versioning and time travel capabilities. For auditing purposes they have a requirement to maintain a full of all valid street addresses as they appear in the customers table.
The architect is interested in implementing a Type 1 table, overwriting existing records with new values and relying on Delta Lake time travel to support long-term auditing. A data engineer on the project feels that a Type 2 table will provide better performance and scalability. Which piece of information is critical to this decision?

A) Delta Lake only supports Type 0 tables; once records are inserted to a Delta Lake table, they cannot be modified.
B) Delta Lake time travel does not scale well in cost or latency to provide a long-term versioning solution.
C) Data corruption can occur if a query fails in a partially completed state because Type 2 tables requires setting multiple fields in a single update.
D) Shallow clones can be combined with Type 1 tables to accelerate historic queries for long-term versioning.
E) Delta Lake time travel cannot be used to query previous versions of these tables because Type 1 changes modify data files in place.

4. Which statement describes the correct use of pyspark.sql.functions.broadcast?

A) It marks a column as small enough to store in memory on all executors, allowing a broadcast join.
B) It caches a copy of the indicated table on all nodes in the cluster for use in all future queries during the cluster lifetime.
C) It marks a DataFrame as small enough to store in memory on all executors, allowing a broadcast join.
D) It caches a copy of the indicated table on attached storage volumes for all active clusters within a Databricks workspace.
E) It marks a column as having low enough cardinality to properly map distinct values to available partitions, allowing a broadcast join.

5. An analytics team wants to run a short-term experiment in Databricks SQL on the customer transactions Delta table (about 20 billion records) created by the data engineering team. Which strategy should the data engineering team use to ensure minimal downtime and no impact on the ongoing ETL processes?

A) Give the analytics team direct access to the production table.
B) Deep clone the table for the analytics team.
C) Create a new table for the analytics team using a CTAS statement.
D) Shallow clone the table for the analytics team.

Solutions: