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Databricks Certified Data Engineer Professional Sample Questions:

1. A data engineering team has a time-consuming data ingestion job with three data sources. Each notebook takes about one hour to load new data. One day, the job fails because a notebook update introduced a new required configuration parameter. The team must quickly fix the issue and load the latest data from the failing source. Which action should the team take?

A) Repair the run with the new parameter, and update the task by adding the missing task parameter.
B) Update the task by adding the missing task parameter, and manually run the job.
C) Repair the run with the new parameter.
D) Share the analysis with the failing notebook owner so that they can fix it quickly.

2. The marketing team is looking to share data in an aggregate table with the sales organization, but the field names used by the teams do not match, and a number of marketing specific fields have not been approval for the sales org.
Which of the following solutions addresses the situation while emphasizing simplicity?

A) Create a view on the marketing table selecting only these fields approved for the sales team alias the names of any fields that should be standardized to the sales naming conventions.
B) Add a parallel table write to the current production pipeline, updating a new sales table that varies as required from marketing table.
C) Use a CTAS statement to create a derivative table from the marketing table configure a production jon to propagation changes.
D) Create a new table with the required schema and use Delta Lake's DEEP CLONE functionality to sync up changes committed to one table to the corresponding table.
E) Instruct the marketing team to download results as a CSV and email them to the sales organization.

3. The business reporting tem requires that data for their dashboards be updated every hour. The total processing time for the pipeline that extracts transforms and load the data for their pipeline runs in 10 minutes.
Assuming normal operating conditions, which configuration will meet their service-level agreement requirements with the lowest cost?

A) Configure a job that executes every time new data lands in a given directory.
B) Schedule a Structured Streaming job with a trigger interval of 60 minutes.
C) Schedule a job to execute the pipeline once an hour on a dedicated interactive cluster.
D) Schedule a job to execute the pipeline once an hour on a new job cluster.

4. A Data engineer wants to run unit's tests using common Python testing frameworks on python functions defined across several Databricks notebooks currently used in production. How can the data engineer run unit tests against function that work with data in production?

A) Define units test and functions within the same notebook
B) Define and import unit test functions from a separate Databricks notebook
C) Run unit tests against non-production data that closely mirrors production
D) Define and unit test functions using Files in Repos

5. A data engineer is designing an append-only pipeline that needs to handle both batch and streaming data in Delta Lake. The team wants to ensure that the streaming component can efficiently track which data has already been processed. Which configuration should be set to enable this?

A) partitionBy
B) checkpointLocation
C) overwriteSchema
D) mergeSchema

Solutions: