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Databricks Certified Data Engineer Professional Sample Questions:

1. An upstream system is emitting change data capture (CDC) logs that are being written to a cloud object storage directory. Each record in the log indicates the change type (insert, update, or delete) and the values for each field after the change. The source table has a primary key identified by the field pk_id.
For analytical purposes, only the most recent value for each record needs to be recorded in the target Delta Lake table in the Lakehouse. The Databricks job to ingest these records occurs once per hour, but each individual record may have changed multiple times over the course of an hour.
Which solution meets these requirements?

A) Use Delta Lake's change data feed to automatically process CDC data from an external system, propagating all changes to all dependent tables in the Lakehouse.
B) Deduplicate records in each batch by pk_id and overwrite the target table.
C) Iterate through an ordered set of changes to the table, applying each in turn to create the current state of the table, (insert, update, delete), timestamp of change, and the values.
D) Use MERGE INTO to insert, update, or delete the most recent entry for each pk_id into a table, then propagate all changes throughout the system.

2. A data engineer needs to capture pipeline settings from an existing in the workspace, and use them to create and version a JSON file to create a new pipeline. Which command should the data engineer enter in a web terminal configured with the Databricks CLI?

A) Use the get command to capture the settings for the existing pipeline; remove the pipeline_id and rename the pipeline; use this in a create command
B) Use list pipelines to get the specs for all pipelines; get the pipeline spec from the return results parse and use this to create a pipeline
C) Use the alone command to create a copy of an existing pipeline; use the get JSON command to get the pipeline definition; save this to git
D) Stop the existing pipeline; use the returned settings in a reset command

3. A Delta table of weather records is partitioned by date and has the below schema:
date DATE, device_id INT, temp FLOAT, latitude FLOAT, longitude FLOAT
To find all the records from within the Arctic Circle, you execute a query with the below filter:
latitude > 66.3
Which statement describes how the Delta engine identifies which files to load?

A) The Delta log is scanned for min and max statistics for the latitude column
B) The Hive metastore is scanned for min and max statistics for the latitude column
C) All records are cached to attached storage and then the filter is applied
D) All records are cached to an operational database and then the filter is applied
E) The Parquet file footers are scanned for min and max statistics for the latitude column

4. The data science team has created and logged a production model using MLflow. The model accepts a list of column names and returns a new column of type DOUBLE.
The following code correctly imports the production model, loads the customers table containing the customer_id key column into a DataFrame, and defines the feature columns needed for the model.

Which code block will output a DataFrame with the schema "customer_id LONG, predictions DOUBLE"?

A) df.select("customer_id", pandas_udf(model, columns).alias("predictions"))
B) df.map(lambda x:model(x[columns])).select("customer_id, predictions")
C) model.predict(df, columns)
D) df.apply(model, columns).select("customer_id, predictions")
E) df.select("customer_id", model(*columns).alias("predictions"))

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

Solutions: