2025 Databricks-Certified-Data-Engineer-Associate: The Best New Databricks Certified Data Engineer Associate Exam Study Guide
2025 Databricks-Certified-Data-Engineer-Associate: The Best New Databricks Certified Data Engineer Associate Exam Study Guide
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The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Certification Exam is designed for data engineers who want to demonstrate their expertise in building and managing data pipelines using Databricks. Databricks is a cloud-based platform that allows data engineers to easily build and manage data pipelines using Apache Spark. Databricks Certified Data Engineer Associate Exam certification exam covers a wide range of topics related to data engineering, including data pipeline architecture, data modeling, data ingestion, data processing, and data storage.
Databricks Certified Data Engineer Associate certification is a valuable credential for professionals who work in data engineering. Databricks Certified Data Engineer Associate Exam certification demonstrates that the candidate has a deep understanding of data engineering concepts and has the skills and experience to work with Databricks effectively. Employers often look for candidates who hold this certification when hiring for data engineering roles, as it validates the candidate's expertise and knowledge in the field.
Databricks Certified Data Engineer Associate Exam Sample Questions (Q39-Q44):
NEW QUESTION # 39
A data engineer wants to create a new table containing the names of customers that live in France.
They have written the following command:
A senior data engineer mentions that it is organization policy to include a table property indicating that the new table includes personally identifiable information (PII).
Which of the following lines of code fills in the above blank to successfully complete the task?
- A. COMMENT "Contains PII"
- B. "COMMENT PII"
- C. There is no way to indicate whether a table contains PII.
- D. TBLPROPERTIES PII
- E. PII
Answer: A
Explanation:
In Databricks, when creating a table, you can add a comment to columns or the entire table to provide more information about the data it contains. In this case, since it's organization policy to indicate that the new table includes personally identifiable information (PII), option D is correct. The line of code would be added after defining the table structure and before closing with a semicolon. References: Data Engineer Associate Exam Guide, CREATE TABLE USING (Databricks SQL)
NEW QUESTION # 40
An engineering manager uses a Databricks SQL query to monitor ingestion latency for each data source. The manager checks the results of the query every day, but they are manually rerunning the query each day and waiting for the results.
Which of the following approaches can the manager use to ensure the results of the query are updated each day?
- A. They can schedule the query to run every 12 hours from the Jobs UI.
- B. They can schedule the query to run every 1 day from the Jobs UI.
- C. They can schedule the query to refresh every 1 day from the SQL endpoint's page in Databricks SQL.
- D. They can schedule the query to refresh every 12 hours from the SQL endpoint's page in Databricks SQL.
- E. They can schedule the query to refresh every 1 day from the query's page in Databricks SQL.
Answer: E
Explanation:
Databricks SQL allows users to schedule queries to run automatically at a specified frequency and time zone.
This can help users to keep their dashboards or alerts updated with the latest data. To schedule a query, users need to do the following steps:
* In the Query Editor, click Schedule > Add schedule to open a menu with schedule settings.
* Choose when to run the query. Use the dropdown pickers to specify the frequency, period, starting time, and time zone. Optionally, select the Show cron syntax checkbox to edit the schedule in Quartz Cron Syntax.
* Choose More options to show optional settings. Users can also choose a name for the schedule, and a SQL warehouse to power the query.
* Click Create. The query will run automatically according to the schedule.
The other options are incorrect because they do not refer to the correct location or frequency to schedule the query. The query's page in Databricks SQL is the place where users can edit, run, or schedule the query. The SQL endpoint's page in Databricks SQL is the place where users can manage the SQL warehouses and SQL endpoints. The Jobs UI is the place where users can create, run, or schedule jobs that execute notebooks, JARs, or Python scripts. References: Schedule a query, What are Databricks SQL alerts?, Jobs.
NEW QUESTION # 41
In order for Structured Streaming to reliably track the exact progress of the processing so that it can handle any kind of failure by restarting and/or reprocessing, which of the following two approaches is used by Spark to record the offset range of the data being processed in each trigger?
- A. Checkpointing and Write-ahead Logs
- B. Checkpointing and Idempotent Sinks
- C. Structured Streaming cannot record the offset range of the data being processed in each trigger.
- D. Write-ahead Logs and Idempotent Sinks
- E. Replayable Sources and Idempotent Sinks
Answer: A
Explanation:
Structured Streaming uses checkpointing and write-ahead logs to record the offset range of the data being processed in each trigger. This ensures that the engine can reliably track the exact progress of the processing and handle any kind of failure by restarting and/or reprocessing. Checkpointing is the mechanism of saving the state of a streaming query to fault-tolerant storage (such as HDFS) so that it can be recovered after a failure. Write-ahead logs are files that record the offset range of the data being processed in each trigger and are written to the checkpoint location before the processing starts. These logs are used to recover the query state and resume processing from the last processed offset range in case of a failure. Reference: Structured Streaming Programming Guide, Fault Tolerance Semantics
NEW QUESTION # 42
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.
Answer: B
Explanation:
Explanation
https://www.w3schools.com/python/python_functions.asp
NEW QUESTION # 43
Which of the following is hosted completely in the control plane of the classic Databricks architecture?
- A. Worker node
- B. Driver node
- C. Databricks Filesystem
- D. JDBC data source
- E. Databricks web application
Answer: B
NEW QUESTION # 44
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