Free PDF 2025 Databricks-Certified-Professional-Data-Engineer: Marvelous Databricks Certified Professional Data Engineer Exam Exam Sample Questions

For Databricks aspirants wishing to clear the Databricks test and become a Databricks Certified Professional Data Engineer Exam certification holder, DumpsMaterials Databricks Databricks-Certified-Professional-Data-Engineer practice material is an excellent resource. By preparing with DumpsMaterials actual Databricks Databricks-Certified-Professional-Data-Engineer Exam Questions, you can take get success on first attempt and take an important step toward accelerating your career. Download updated Databricks-Certified-Professional-Data-Engineer exam questions today and start preparation.

Databricks Certified Professional Data Engineer certification exam covers a range of topics, including data ingestion, data transformation, data storage, and data analysis. Databricks-Certified-Professional-Data-Engineer Exam is designed to test your knowledge of Databricks and its associated tools and technologies, as well as your ability to design, build, and maintain data pipelines using Databricks. By passing this certification exam, you will demonstrate your ability to work with big data and create data pipelines that are efficient, reliable, and scalable.

>> Databricks-Certified-Professional-Data-Engineer Exam Sample Questions <<

Don't Miss Amazing Offers - Buy Databricks Databricks-Certified-Professional-Data-Engineer Actual Dumps Today

Databricks provides the most reliable and authentic Databricks Databricks-Certified-Professional-Data-Engineer Exam prep material there is. The 3 kinds of Databricks Databricks-Certified-Professional-Data-Engineer Preparation formats ensure that there are no lacking points in a student when he attempts the actual Databricks-Certified-Professional-Data-Engineer exam.

Databricks Certified Professional Data Engineer certification exam covers a wide range of topics, including data ingestion, data processing, data storage, and data analysis. Candidates are required to demonstrate their ability to design and implement data solutions using Databricks, as well as their understanding of best practices for data engineering. Databricks-Certified-Professional-Data-Engineer exam consists of multiple-choice questions and takes approximately two hours to complete.

Databricks-Certified-Professional-Data-Engineer exam consists of multiple-choice questions and hands-on, real-world scenarios that test the candidate's ability to design, build, and deploy data pipelines on Databricks. Databricks-Certified-Professional-Data-Engineer Exam covers various topics, including data engineering concepts, Databricks architecture, data processing using Spark, and data integration with other systems. Databricks Certified Professional Data Engineer Exam certification program provides a comprehensive learning experience that prepares candidates to become skilled data engineers and provides them with a competitive edge in the job market.

Databricks Certified Professional Data Engineer Exam Sample Questions (Q87-Q92):

NEW QUESTION # 87
The data engineering team maintains the following code:

Assuming that this code produces logically correct results and the data in the source table has been de- duplicated and validated, which statement describes what will occur when this code is executed?

A. The silver_customer_sales table will be overwritten by aggregated values calculated from all records in the gold_customer_lifetime_sales_summary table as a batch job.
B. The gold_customer_lifetime_sales_summary table will be overwritten by aggregated values calculated from all records in the silver_customer_sales table as a batch job.
C. An incremental job will leverage running information in the state store to update aggregate values in the gold_customer_lifetime_sales_summary table.
D. A batch job will update the gold_customer_lifetime_sales_summary table, replacing only those rows that have different values than the current version of the table, using customer_id as the primary key.
E. An incremental job will detect if new rows have been written to the silver_customer_sales table; if new rows are detected, all aggregates will be recalculated and used to overwrite the gold_customer_lifetime_sales_summary table.

Answer: B

Explanation:
This code is using the pyspark.sql.functions library to group the silver_customer_sales table by customer_id and then aggregate the data using the minimum sale date, maximum sale total, and sum of distinct order ids.
The resulting aggregated data is then written to the gold_customer_lifetime_sales_summary table, overwriting any existing data in that table. This is a batch job that does not use any incremental or streaming logic, and does not perform any merge or update operations. Therefore, the code will overwrite the gold table with the aggregated values from the silver table every time it is executed. References:
* https://docs.databricks.com/spark/latest/dataframes-datasets/introduction-to-dataframes-python.html
* https://docs.databricks.com/spark/latest/dataframes-datasets/transforming-data-with-dataframes.html
* https://docs.databricks.com/spark/latest/dataframes-datasets/aggregating-data-with-dataframes.html

NEW QUESTION # 88
A nightly job ingests data into a Delta Lake table using the following code:

The next step in the pipeline requires a function that returns an object that can be used to manipulate new records that have not yet been processed to the next table in the pipeline.
Which code snippet completes this function definition?
def new_records():

A. return spark.read.option("readChangeFeed", "true").table ("bronze")
B. return spark.readStream.table("bronze")
C.
D.
E. return spark.readStream.load("bronze")

Answer: D

Explanation:
https://docs.databricks.com/en/delta/delta-change-data-feed.html

NEW QUESTION # 89
A data engineer is testing a collection of mathematical functions, one of which calculates the area under a curve as described by another function.

Which kind of the test does the above line exemplify?

A. Unit
B. Manual
C. Integration
D. functional

Answer: A

Explanation:
A unit test is designed to verify the correctness of a small, isolated piece of code, typically a single function.
Testing a mathematical function that calculates the area under acurve is an example of a unit test because it is testing a specific, individual function to ensure it operates as expected.
References:
* Software Testing Fundamentals: Unit Testing

NEW QUESTION # 90
A member of the data engineering team has submitted a short notebook that they wish to schedule as part of a larger data pipeline. Assume that the commands provided below produce the logically correct results when run as presented.

Which command should be removed from the notebook before scheduling it as a job?

A. Cmd 4
B. Cmd 3
C. Cmd 6
D. Cmd 5
E. Cmd 2

Answer: C

Explanation:
Cmd 6 is the command that should be removed from the notebook before scheduling it as a job. This command is selecting all the columns from the finalDF dataframe and displaying them in the notebook. This is not necessary for the job, as the finalDF dataframe is already written to a table in Cmd 7. Displaying the dataframe in the notebook will only consume resources and time, and it will not affect the output of the job.
Therefore, Cmd 6 is redundant and should be removed.
The other commands are essential for the job, as they perform the following tasks:
* Cmd 1: Reads the raw_data table into a Spark dataframe called rawDF.
* Cmd 2: Prints the schema of the rawDF dataframe, which is useful for debugging and understanding the data structure.
* Cmd 3: Selects all the columns from the rawDF dataframe, as well as the nested columns from the values struct column, and creates a new dataframe called flattenedDF.
* Cmd 4: Drops the values column from the flattenedDF dataframe, as it is no longer needed after flattening, and creates a new dataframe called finalDF.
* Cmd 5: Explains the physical plan of the finalDF dataframe, which is useful for optimizing and tuning the performance of the job.
* Cmd 7: Writes the finalDF dataframe to a table called flat_data, using the append mode to add new data to the existing table.

NEW QUESTION # 91
The data engineering team has configured a Databricks SQL query and alert to monitor the values in a Delta Lake table. Therecent_sensor_recordingstable contains an identifyingsensor_idalongside thetimestampandtemperaturefor the most recent 5 minutes of recordings.
The below query is used to create the alert:

The query is set to refresh each minute and always completes in less than 10 seconds. The alert is set to trigger whenmean (temperature) > 120. Notifications are triggered to be sent at most every 1 minute.
If this alert raises notifications for 3 consecutive minutes and then stops, which statement must be true?

A. The source query failed to update properly for three consecutive minutes and then restarted
B. Therecent_sensor_recordingstable was unresponsive for three consecutive runs of the query
C. The average temperature recordings for at least one sensor exceeded 120 on three consecutive executions of the query
D. The maximum temperature recording for at least one sensor exceeded 120 on three consecutive executions of the query
E. The total average temperature across all sensors exceeded 120 on three consecutive executions of the query

Answer: C

Explanation:
This is the correct answer because the query is using a GROUP BY clause on the sensor_id column, which means it will calculate the mean temperature for each sensor separately. The alert will trigger when the mean temperature for any sensor is greater than 120, which means at least one sensor had an average temperature above 120 for three consecutive minutes. The alert will stop when the mean temperature for all sensors drops below 120. Verified References: [Databricks Certified Data Engineer Professional], under "SQL Analytics" section; Databricks Documentation, under "Alerts" section.

NEW QUESTION # 92
......

New Databricks-Certified-Professional-Data-Engineer Test Objectives: https://www.dumpsmaterials.com/Databricks-Certified-Professional-Data-Engineer-real-torrent.html