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Databricks Certified Professional Data Engineer Sample Questions:

1. To reduce storage and compute costs, the data engineering team has been tasked with curating a series of aggregate tables leveraged by business intelligence dashboards, customer-facing applications, production machine learning models, and ad hoc analytical queries.
The data engineering team has been made aware of new requirements from a customer-facing application, which is the only downstream workload they manage entirely. As a result, an aggregate table used by numerous teams across the organization will need to have a number of fields renamed, and additional fields will also be added.
Which of the solutions addresses the situation while minimally interrupting other teams in the organization without increasing the number of tables that need to be managed?

A) Configure a new table with all the requisite fields and new names and use this as the source for the customer-facing application; create a view that maintains the original data schema and table name by aliasing select fields from the new table.
B) Replace the current table definition with a logical view defined with the query logic currently writing the aggregate table; create a new table to power the customer-facing application.
C) Add a table comment warning all users that the table schema and field names will be changing on a given date; overwrite the table in place to the specifications of the customer-facing application.
D) Create a new table with the required schema and new fields and use Delta Lake's deep clone functionality to sync up changes committed to one table to the corresponding table.
E) Send all users notice that the schema for the table will be changing; include in the communication the logic necessary to revert the new table schema to match historic queries.

2. 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) "Manage" permission should be set on a secret scope containing only those credentials that will be used by a given team.
D) ''Read'' permissions should be set on a secret key mapped to those credentials that will be used by a given team.

3. Which statement describes integration testing?

A) Requires manual intervention
B) Requires an automated testing framework
C) Validates an application use case
D) Validates behavior of individual elements of your application
E) Validates interactions between subsystems of your application

4. An upstream source writes Parquet data as hourly batches to directories named with the current date. A nightly batch job runs the following code to ingest all data from the previous day as indicated by the date variable:

Assume that the fields customer_id and order_id serve as a composite key to uniquely identify each order.
If the upstream system is known to occasionally produce duplicate entries for a single order hours apart, which statement is correct?

A) Each write to the orders table will only contain unique records; if existing records with the same key are present in the target table, the operation will tail.
B) Each write to the orders table will run deduplication over the union of new and existing records, ensuring no duplicate records are present.
C) Each write to the orders table will only contain unique records, and only those records without duplicates in the target table will be written.
D) Each write to the orders table will only contain unique records; if existing records with the same key are present in the target table, these records will be overwritten.
E) Each write to the orders table will only contain unique records, but newly written records may have duplicates already present in the target table.

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

Solutions:

Question # 1 Answer: A

Question # 2 Answer: A

Question # 3 Answer: C

Question # 4 Answer: E

Question # 5 Answer: A