Databricks-Certified-Professional-Data-Engineer practice materials Questions Answers

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Databricks-Certified-Professional-Data-Engineer
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Databricks Certified Data Engineer Professional Exam
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Jun 01,2026

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Page: 1 / 24
Total Questions: 120

Questions & Answers PDF

• Question 1

  

  The data architect has mandated that all tables in the Lakehouse should be configured as external (also known as "unmanaged") Delta Lake tables.Which approach will ensure that this requirement is met?

  • When a database is being created, make sure that the LOCATION keyword is used.
  • When configuring an external data warehouse for all table storage, leverage Databricks for all ELT.
  • When data is saved to a table, make sure that a full file path is specified alongside the Delta format.
  • When tables are created, make sure that the EXTERNAL keyword is used in the CREATE TABLE statement.
  • When the workspace is being configured, make sure that external cloud object storage has been mounted.

  Reveal Answer Answer: D Next Question

• Question 2

  

  The Databricks workspace administrator has configured interactive clusters for each of the data engineering groups. To control costs, clusters are set to terminate after 30 minutes of inactivity. Each user should be able to execute workloads against their assigned clusters at any time of the day.Assuming users have been added to a workspace but not granted any permissions, which of the following describes the minimal permissions a user would need to start and attach to an already configured cluster.

  • "Can Manage" privileges on the required cluster
  • Workspace Admin privileges, cluster creation allowed. "Can Attach To" privileges on the required cluster
  • Cluster creation allowed. "Can Attach To" privileges on the required cluster
  • "Can Restart" privileges on the required cluster
  • Cluster creation allowed. "Can Restart" privileges on the required cluster

  Reveal Answer Answer: D Next Question

• Question 3

  

  The business reporting tem requires that data for their dashboards be updated every hour. The total processing time for the pipeline that extracts transforms and load the data for their pipeline runs in 10 minutes.Assuming normal operating conditions, which configuration will meet their service-level agreement requirements with the lowest cost?

  • Schedule a jo to execute the pipeline once and hour on a dedicated interactive cluster.
  • Schedule a Structured Streaming job with a trigger interval of 60 minutes.
  • Schedule a job to execute the pipeline once hour on a new job cluster.
  • Configure a job that executes every time new data lands in a given directory.

  Reveal Answer Answer: C Next Question

• Question 4

  

  A Delta Lake table was created with the below query:Realizing that the original query had a typographical error, the below code was executed: ALTER TABLE prod.sales_by_stor RENAME TO prod.sales_by_storeWhich result will occur after running the second command?

  • The table reference in the metastore is updated and no data is changed.
  • The table name change is recorded in the Delta transaction log.
  • All related files and metadata are dropped and recreated in a single ACID transaction.
  • The table reference in the metastore is updated and all data files are moved.
  • A new Delta transaction log Is created for the renamed table.

  Reveal Answer Answer: A Next Question

• Question 5

  

  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 6

  

  A developer has successfully configured credential for Databricks Repos and cloned a remote Git repository. Hey don not have privileges to make changes to the main branch, which is the only branch currently visible in their workspace.Use Response to pull changes from the remote Git repository commit and push changes to a branch that appeared as a changes were pulled.

  • Use Repos to merge all differences and make a pull request back to the remote repository.
  • Use repos to merge all difference and make a pull request back to the remote repository.
  • Use Repos to create a new branch commit all changes and push changes to the remote Git repertory.
  • Use repos to create a fork of the remote repository commit all changes and make a pull request on the source repository

  Reveal Answer Answer: C Next Question

• Question 7

  

  A junior data engineer has been asked to develop a streaming data pipeline with a grouped aggregation using DataFrame df. The pipeline needs to calculate the average humidity and average temperature for each non-overlapping five-minute interval. Events are recorded once per minute per device.Streaming DataFrame df has the following schema:"device_id INT, event_time TIMESTAMP, temp FLOAT, humidity FLOAT" Code block:Choose the response that correctly fills in the blank within the code block to complete this task.

  • to_interval("event_time", "5 minutes").alias("time")
  • window("event_time", "5 minutes").alias("time")
  • "event_time"
  • window("event_time", "10 minutes").alias("time")
  • lag("event_time", "10 minutes").alias("time")

  Reveal Answer Answer: B Next Question

• Question 8

  

  What is a method of installing a Python package scoped at the notebook level to all nodes in the currently active cluster?

  • Use &Pip install in a notebook cell
  • Run source env/bin/activate in a notebook setup script
  • Install libraries from PyPi using the cluster UI
  • Use &sh install in a notebook cell

  Reveal Answer Answer: C Next Question

• Question 9

  

  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 10

  

  A data pipeline uses Structured Streaming to ingest data from kafka to Delta Lake. Data is being stored in a bronze table, and includes the Kafka_generated timesamp, key, and value. Three months after the pipeline is deployed the data engineering team has noticed some latency issued during certain times of the day.A senior data engineer updates the Delta Table's schema and ingestion logic to include the current timestamp (as recoded by Apache Spark) as well the Kafka topic and partition. The team plans to use the additional metadata fields to diagnose the transient processing delays:Which limitation will the team face while diagnosing this problem?

  • New fields not be computed for historic records.
  • Updating the table schema will invalidate the Delta transaction log metadata.
  • Updating the table schema requires a default value provided for each file added.
  • Spark cannot capture the topic partition fields from the kafka source.

  Reveal Answer Answer: A Next Question

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Total Questions: 120

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