Databricks Databricks-Certified-Professional-Data-Engineer Free Sample Exam Questions 2026

Here you can get the actual Databricks Databricks-Certified-Professional-Data-Engineer exam questions and answers in PDF for free and for all questions premium file. These best Databricks Certified Data Engineer Professional Exam Databricks-Certified-Professional-Data-Engineer PDF questions are for every Databricks users. Real Databricks-Certified-Professional-Data-Engineer exam dumps that will assist you to crack the %certification% certification exam in the PDF format. For Advance preparation premium PDF files available for perfect exam preparation on reilable price option.

UNLOCK FULL
Databricks-Certified-Professional-Data-Engineer Exam Features

In Just $35 You can Access

• All Official Question Types
• Interactive Web-Based Practice Test Software
• No Installation or 3rd Party Software Required
• Customize your practice sessions (Free Demo)
• 24/7 Customer Support

Get Full Access

Page: 1 / 24
Total Questions: 120

Questions & Answers PDF

• Question 1

  

  Which statement describes the default execution mode for Databricks Auto Loader?

  • New files are identified by listing the input directory; new files are incrementally and idempotentlyloaded into the target Delta Lake table.
  • Cloud vendor-specific queue storage and notification services are configured to track newly arriving files; new files are incrementally and impotently into the target Delta Lake table.
  • Webhook trigger Databricks job to run anytime new data arrives in a source directory; new data automatically merged into target tables using rules inferred from the data.
  • New files are identified by listing the input directory; the target table is materialized by directory querying all valid files in the source directory.

  Reveal Answer Answer: A Next Question

• Question 2

  

  An hourly batch job is configured to ingest data files from a cloud object storage container where each batch represent all records produced by the source system in a given hour. The batch job to process these records into the Lakehouse is sufficiently delayed to ensure no late-arriving data is missed. The user_id field represents a unique key for the data, which has the following schema:user_id BIGINT, username STRING, user_utc STRING, user_region STRING, last_login BIGINT, auto_pay BOOLEAN, last_updated BIGINTNew records are all ingested into a table named account_history which maintains a full record of all data in the same schema as the source. The next table in the system is named account_current and is implemented as a Type 1 table representing the most recent value for each unique user_id.Assuming there are millions of user accounts and tens of thousands of records processed hourly, which implementation can be used to efficiently update the described account_current table as part of each hourly batch job?

  • Use Auto Loader to subscribe to new files in the account history directory; configure a Structured Streaminq trigger once job to batch update newly detected files into the account current table.
  • Overwrite the account current table with each batch using the results of a query against the account history table grouping by user id and filtering for the max value of last updated.
  • Filter records in account history using the last updated field and the most recent hour processed, as well as the max last iogin by user id write a merge statement to update or insert the most recentvalue for each user id.
  • Use Delta Lake version history to get the difference between the latest version of account history and one version prior, then write these records to account current.
  • Filter records in account history using the last updated field and the most recent hour processed, making sure to deduplicate on username; write a merge statement to update or insert the
  • most recent value for each username.

  Reveal Answer Answer: C Next Question

• Question 3

  

  An external object storage container has been mounted to the location /mnt/finance_eda_bucket. The following logic was executed to create a database for the finance team:After the database was successfully created and permissions configured, a member of the finance team runs the following code:If all users on the finance team are members of the finance group, which statement describes how the tx_sales table will be created?

  • A logical table will persist the query plan to the Hive Metastore in the Databricks control plane.
  • An external table will be created in the storage container mounted to /mnt/finance eda bucket.
  • A logical table will persist the physical plan to the Hive Metastore in the Databricks control plane.
  • An managed table will be created in the storage container mounted to /mnt/finance eda bucket.
  • A managed table will be created in the DBFS root storage container.

  Reveal Answer Answer: A Next Question

• Question 4

  

  Which statement regarding spark configuration on the Databricks platform is true?

  • Spark configuration properties set for an interactive cluster with the Clusters UI will impact all notebooks attached to that cluster.
  • When the same spar configuration property is set for an interactive to the same interactive cluster.
  • Spark configuration set within an notebook will affect all SparkSession attached to the same interactive cluster
  • The Databricks REST API can be used to modify the Spark configuration properties for an interactive cluster without interrupting jobs.

  Reveal Answer Answer: A Next Question

• Question 5

  

  A junior developer complains that the code in their notebook isn't producing the correct results in the development environment. A shared screenshot reveals that while they're using a notebook versioned with Databricks Repos, they're using a personal branch that contains old logic. The desired branch named dev-2.3.9 is not available from the branch selection dropdown.Which approach will allow this developer to review the current logic for this notebook?

  • Use Repos to make a pull request use the Databricks REST API to update the current branch to dev-2.3.9
  • Use Repos to pull changes from the remote Git repository and select the dev-2.3.9 branch.
  • Use Repos to checkout the dev-2.3.9 branch and auto-resolve conflicts with the current branch
  • Merge all changes back to the main branch in the remote Git repository and clone the repo again
  • Use Repos to merge the current branch and the dev-2.3.9 branch, then make a pull request to sync with the remote repository

  Reveal Answer Answer: B Next Question

• Question 6

  

  A Structured Streaming job deployed to production has been experiencing delays during peak hours of the day. At present, during normal execution, each microbatch of data is processed in less than 3 seconds. During peak hours of the day, execution time for each microbatch becomes very inconsistent, sometimes exceeding 30 seconds. The streaming write is currently configured with a trigger interval of 10 seconds.Holding all other variables constant and assuming records need to be processed in less than 10 seconds, which adjustment will meet the requirement?

  • Decrease the trigger interval to 5 seconds; triggering batches more frequently allows idle executors to begin processing the next batch while longer running tasks from previous batches finish.
  • Increase the trigger interval to 30 seconds; setting the trigger interval near the maximum execution time observed for each batch is always best practice to ensure no records are dropped.
  • The trigger interval cannot be modified without modifying the checkpoint directory; to maintain the current stream state, increase the number of shufle partitions to maximize parallelism.
  • Use the trigger once option and configure a Databricks job to execute the query every 10 seconds; this ensures all backlogged records are processed with each batch.
  • Decrease the trigger interval to 5 seconds; triggering batches more frequently may prevent records from backing up and large batches from causing spill.

  Reveal Answer Answer: E Next Question

• Question 7

  

  The DevOps team has configured a production workload as a collection of notebooks scheduled to run daily using the Jobs Ul. A new data engineering hire is onboarding to the team and has requested access to one of these notebooks to review the production logic.What are the maximum notebook permissions that can be granted to the user without allowing accidental changes to production code or data?

  • Can manage
  • Can edit
  • Can run
  • Can Read

  Reveal Answer Answer: D Next Question

• Question 8

  

  Review the following error traceback:Which statement describes the error being raised?

  • The code executed was PvSoark but was executed in a Scala notebook.
  • There is no column in the table named heartrateheartrateheartrate
  • There is a type error because a column object cannot be multiplied.
  • There is a type error because a DataFrame object cannot be multiplied.
  • There is a syntax error because the heartrate column is not correctly identified as a column.

  Reveal Answer Answer: E Next Question

• Question 9

  

  What is the first of a Databricks Python notebook when viewed in a text editor?

  • %python
  • % Databricks notebook source
  • -- Databricks notebook source
  • //Databricks notebook source

  Reveal Answer Answer: B Next Question

• Question 10

  

  The DevOps team has configured a production workload as a collection of notebooks scheduled to run daily using the Jobs UI. A new data engineering hire is onboarding to the team and has requested access to one of these notebooks to review the production logic.What are the maximum notebook permissions that can be granted to the user without allowing accidental changes to production code or data?

  • Can Manage
  • Can Edit
  • No permissions
  • Can Read
  • Can Run

  Reveal Answer Answer: C Next Question

Page: 1 / 24
Total Questions: 120

Previous Page Next Page