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Databricks-Certified-Data-Engineer-Associate Pack
Vendor: Databricks
Exam Code: Databricks-Certified-Data-Engineer-Associate
Exam Name: Databricks Certified Data Engineer Associate Exam
Exam Questions: 109
Last Updated: May 25, 2026
Related Certifications: Data Engineer Associate
Exam Tags: Associate-level certification Data Engineers and Data Professionals
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Free Databricks Databricks-Certified-Data-Engineer-Associate Exam Actual Questions

Question No. 1

Which of the following commands will return the number of null values in the member_id column?

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Correct Answer: C

To return the number of null values in the member_id column, the best option is to use the count_if function, which counts the number of rows that satisfy a given condition. In this case, the condition is that the member_id column is null. The other options are either incorrect or not supported by Spark SQL. Option A will return the number of non-null values in the member_id column. Option B will not work because there is no count_null function in Spark SQL. Option D will not work because there is no null function in Spark SQL. Option E will not work because there is no count_null function in Spark SQL.Reference:

Built-in Functions - Spark SQL, Built-in Functions

count_if - Spark SQL, Built-in Functions


Question No. 2

A data engineer has been using a Databricks SQL dashboard to monitor the cleanliness of the input data to a data analytics dashboard for a retail use case. The job has a Databricks SQL query that returns the number of store-level records where sales is equal to zero. The data engineer wants their entire team to be notified via a messaging webhook whenever this value is greater than 0.

Which of the following approaches can the data engineer use to notify their entire team via a messaging webhook whenever the number of stores with $0 in sales is greater than zero?

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Correct Answer: D

A webhook alert destination is a notification destination that allows Databricks to send HTTP POST requests to a third-party endpoint when an alert is triggered. This enables the data engineer to integrate Databricks alerts with their preferred messaging or collaboration platform, such as Slack, Microsoft Teams, or PagerDuty. To set up a webhook alert destination, the data engineer needs to create and configure a webhook connector in their messaging platform, and then add the webhook URL to the Databricks notification destination. After that, the data engineer can create an alert for their Databricks SQL query, and select the webhook alert destination as the notification destination. The alert can be configured with a custom condition, such as when the number of stores with $0 in sales is greater than zero, and a custom message template, such as ''Alert: {number_of_stores} stores have $0 in sales''. The alert can also be configured with a recurrence interval, such as every hour, to check the query result periodically. When the alert condition is met, the data engineer and their team will receive a notification via the messaging webhook, with the custom message and a link to the Databricks SQL query. The other options are either not suitable for sending notifications via a messaging webhook (A, B, E), or not suitable for sending recurring notifications .Reference:Databricks Documentation - Manage notification destinations,Databricks Documentation - Create alerts for Databricks SQL queries,Databricks Documentation - Configure alert conditions and messages.


Question No. 3

Which of the following describes the type of workloads that are always compatible with Auto Loader?

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Correct Answer: B

Auto Loader is a Structured Streaming source that incrementally and efficiently processes new data files as they arrive in cloud storage. It supports both Python and SQL in Delta Live Tables, which are ideal for building streaming data pipelines. Auto Loader can handle near real-time ingestion of millions of files per hour and provide exactly-once guarantees when writing data into Delta Lake. Auto Loader is not designed for dashboard, machine learning, serverless, or batch workloads, which have different requirements and characteristics.Reference:What is Auto Loader?,Delta Live Tables


Question No. 4

A data engineer that is new to using Python needs to create a Python function to add two integers together and return the sum?

Which of the following code blocks can the data engineer use to complete this task?

A)

B)

C)

D)

E)

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Correct Answer: D

https://www.w3schools.com/python/python_functions.asp

https://www.geeksforgeeks.org/python-functions/


Question No. 5

A data engineer needs access to a table new_table, but they do not have the correct permissions. They can ask the table owner for permission, but they do not know who the table owner is.

Which of the following approaches can be used to identify the owner of new_table?

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Correct Answer: C

he approach that can be used to identify the owner of new_table is to review the Owner field in the table's page in Data Explorer.Data Explorer is a web-based interface that allows users to browse, create, and manage data objects such as tables, views, and functions in Databricks1.The table's page in Data Explorer provides various information about the table, such as its schema, partitions, statistics, history, and permissions2.The Owner field shows the name and email address of the user who created or owns the table3. The data engineer can use this information to contact the table owner and request for permission to access the table.

The other options are not correct or reliable for identifying the owner of new_table.Reviewing the Permissions tab in the table's page in Data Explorer can show the users and groups who have access to the table, but not necessarily the owner4.Reviewing the Owner field in the table's page in the cloud storage solution can be misleading, as the owner of the data files may not be the same as the owner of the table5. There is a way to identify the owner of the table, as explained above, so option E is false.


1:Data Explorer | Databricks on AWS

2:Table details | Databricks on AWS

3:Set owner when creating a view in databricks sql - Databricks - 9978

4:Table access control | Databricks on AWS

5:External tables | Databricks on AWS

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