Real GAQM Databricks-Certified-Data-Engineer-Associate Exam Questions Study Guide [Q20-Q43]

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Real GAQM Databricks-Certified-Data-Engineer-Associate Exam Questions Study Guide

Updated and Accurate Databricks-Certified-Data-Engineer-Associate Questions for passing the exam Quickly


The Databricks Certified Data Engineer Associate exam is a comprehensive exam that tests candidates on a range of topics related to data engineering on the Databricks platform. The exam covers topics such as data ingestion, data transformation, data storage, and data processing. Candidates are also tested on their knowledge of the Databricks platform, including its architecture, tools, and features.

 

NEW QUESTION # 20
A data engineering team has two tables. The first table march_transactions is a collection of all retail transactions in the month of March. The second table april_transactions is a collection of all retail transactions in the month of April. There are no duplicate records between the tables.
Which of the following commands should be run to create a new table all_transactions that contains all records from march_transactions and april_transactions without duplicate records?

  • A. CREATE TABLE all_transactions AS
    SELECT * FROM march_transactions
    MERGE SELECT * FROM april_transactions;
  • B. CREATE TABLE all_transactions AS
    SELECT * FROM march_transactions
    INTERSECT SELECT * from april_transactions;
  • C. CREATE TABLE all_transactions AS
    SELECT * FROM march_transactions
    INNER JOIN SELECT * FROM april_transactions;
  • D. CREATE TABLE all_transactions AS
    SELECT * FROM march_transactions
    OUTER JOIN SELECT * FROM april_transactions;
  • E. CREATE TABLE all_transactions AS
    SELECT * FROM march_transactions
    UNION SELECT * FROM april_transactions;

Answer: E


NEW QUESTION # 21
Which of the following describes the storage organization of a Delta table?

  • A. Delta tables store their data in a single file and all metadata in a collection of files in a separate location.
  • B. Delta tables are stored in a collection of files that contain data, history, metadata, and other attributes.
  • C. Delta tables are stored in a single file that contains only the data stored within the table.
  • D. Delta tables are stored in a single file that contains data, history, metadata, and other attributes.
  • E. Delta tables are stored in a collection of files that contain only the data stored within the table.

Answer: B


NEW QUESTION # 22
A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.
The cade block used by the data engineer is below:

If the data engineer only wants the query to execute a micro-batch to process data every 5 seconds, which of the following lines of code should the data engineer use to fill in the blank?

  • A. trigger(once="5 seconds")
  • B. trigger(processingTime="5 seconds")
  • C. trigger()
  • D. trigger(continuous="5 seconds")
  • E. trigger("5 seconds")

Answer: B


NEW QUESTION # 23
Which of the following code blocks will remove the rows where the value in column age is greater than 25 from the existing Delta table my_table and save the updated table?

  • A. UPDATE my_table WHERE age <= 25;
  • B. SELECT * FROM my_table WHERE age > 25;
  • C. DELETE FROM my_table WHERE age <= 25;
  • D. UPDATE my_table WHERE age > 25;
  • E. DELETE FROM my_table WHERE age > 25;

Answer: E


NEW QUESTION # 24
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 Idempotent Sinks
  • B. Checkpointing and Write-ahead Logs
  • C. Structured Streaming cannot record the offset range of the data being processed in each trigger.
  • D. Replayable Sources and Idempotent Sinks
  • E. Write-ahead Logs and Idempotent Sinks

Answer: A


NEW QUESTION # 25
A new data engineering team team. has been assigned to an ELT project. The new data engineering team will need full privileges on the database customers to fully manage the project.
Which of the following commands can be used to grant full permissions on the database to the new data engineering team?

  • A. GRANT SELECT PRIVILEGES ON DATABASE customers TO teams;
  • B. GRANT USAGE ON DATABASE customers TO team;
  • C. GRANT SELECT CREATE MODIFY USAGE PRIVILEGES ON DATABASE customers TO team;
  • D. GRANT ALL PRIVILEGES ON DATABASE customers TO team;
  • E. GRANT ALL PRIVILEGES ON DATABASE team TO customers;

Answer: D


NEW QUESTION # 26
Which of the following describes a scenario in which a data team will want to utilize cluster pools?

  • A. An automated report needs to be tested to identify errors.
  • B. An automated report needs to be runnable by all stakeholders.
  • C. An automated report needs to be refreshed as quickly as possible.
  • D. An automated report needs to be version-controlled across multiple collaborators.
  • E. An automated report needs to be made reproducible.

Answer: B


NEW QUESTION # 27
An engineering manager wants to monitor the performance of a recent project using a Databricks SQL query.
For the first week following the project's release, the managerwants the query results to be updated every minute. However, the manager is concerned that the compute resources used for the query will be left running and cost the organization a lot of money beyond the first week of the project's release.
Which of the following approaches can the engineering team use to ensure the query does not cost the organization any money beyond the first week of the project's release?

  • A. They can set the query's refresh schedule to end after a certain number of refreshes.
  • B. They cannot ensure the query does not cost the organization money beyond the first week of the project's release.
  • C. They can set the query's refresh schedule to end on a certain date in the query scheduler.
  • D. They can set a limit to the number of individuals that are able to manage the query's refresh schedule.
  • E. They can set a limit to the number of DBUs that are consumed by the SQL Endpoint.

Answer: C


NEW QUESTION # 28
A Delta Live Table pipeline includes two datasets defined using STREAMING LIVE TABLE. Three datasets are defined against Delta Lake table sources using LIVE TABLE.
The table is configured to run in Production mode using the Continuous Pipeline Mode.
Assuming previously unprocessed data exists and all definitions are valid, what is the expected outcome after clicking Start to update the pipeline?

  • A. All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.
  • B. All datasets will be updated once and the pipeline will persist without any processing. The compute resources will persist but go unused.
  • C. All datasets will be updated once and the pipeline will shut down. The compute resources will persist to allow for additional testing.
  • D. All datasets will be updated once and the pipeline will shut down. The compute resources will be terminated.
  • E. All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will be deployed for the update and terminated when the pipeline is stopped.

Answer: C


NEW QUESTION # 29
Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?

  • A.
  • B.
  • C.
  • D.
  • E.

Answer: B


NEW QUESTION # 30
Which of the following tools is used by Auto Loader process data incrementally?

  • A. Unity Catalog
  • B. Checkpointing
  • C. Spark Structured Streaming
  • D. Data Explorer
  • E. Databricks SQL

Answer: C


NEW QUESTION # 31
A data organization leader is upset about the data analysis team's reports being different from the data engineering team's reports. The leader believes the siloed nature of their organization's data engineering and data analysis architectures is to blame.
Which of the following describes how a data lakehouse could alleviate this issue?

  • A. Both teams would be able to collaborate on projects in real-time
  • B. Both teams would reorganize to report to the same department
  • C. Both teams would autoscale their work as data size evolves
  • D. Both teams would use the same source of truth for their work
  • E. Both teams would respond more quickly to ad-hoc requests

Answer: D


NEW QUESTION # 32
Which of the following commands can be used to write data into a Delta table while avoiding the writing of duplicate records?

  • A. APPEND
  • B. MERGE
  • C. INSERT
  • D. IGNORE
  • E. DROP

Answer: B


NEW QUESTION # 33
A single Job runs two notebooks as two separate tasks. A data engineer has noticed that one of the notebooks is running slowly in the Job's current run. The data engineer asks a tech lead for help in identifying why this might be the case.
Which of the following approaches can the tech lead use to identify why the notebook is running slowly as part of the Job?

  • A. They can navigate to the Runs tab in the Jobs UI and click on the active run to review the processing notebook.
  • B. There is no way to determine why a Job task is running slowly.
  • C. They can navigate to the Tasks tab in the Jobs UI and click on the active run to review the processing notebook.
  • D. They can navigate to the Tasks tab in the Jobs UI to immediately review the processing notebook.
  • E. They can navigate to the Runs tab in the Jobs UI to immediately review the processing notebook.

Answer: A


NEW QUESTION # 34
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. TBLPROPERTIES PII
  • B. There is no way to indicate whether a table contains PII.
  • C. PII
  • D. "COMMENT PII"
  • E. COMMENT "Contains PII"

Answer: A


NEW QUESTION # 35
Which of the following describes the relationship between Gold tables and Silver tables?

  • A. Gold tables are more likely to contain a less refined view of data than Silver tables.
  • B. Gold tables are more likely to contain more data than Silver tables.
  • C. Gold tables are more likely to contain valuable data than Silver tables.
  • D. Gold tables are more likely to contain truthful data than Silver tables.
  • E. Gold tables are more likely to contain aggregations than Silver tables.

Answer: A


NEW QUESTION # 36
Which of the following benefits is provided by the array functions from Spark SQL?

  • A. An ability to work with data within certain partitions and windows
  • B. An ability to work with data in a variety of types at once
  • C. An ability to work with complex, nested data ingested from JSON files
  • D. An ability to work with an array of tables for procedural automation
  • E. An ability to work with time-related data in specified intervals

Answer: A


NEW QUESTION # 37
A data analysis team has noticed that their Databricks SQL queries are running too slowly when connected to their always-on SQL endpoint. They claim that this issue is present when many members of the team are running small queries simultaneously. They ask the data engineering team for help. The data engineering team notices that each of the team's queries uses the same SQL endpoint.
Which of the following approaches can the data engineering team use to improve the latency of the team's queries?

  • A. They can turn on the Serverless feature for the SQL endpoint.
  • B. They can increase the maximum bound of the SQL endpoint's scaling range.
  • C. They can increase the cluster size of the SQL endpoint.
  • D. They can turn on the Auto Stop feature for the SQL endpoint.
  • E. They can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to
    "Reliability Optimized."

Answer: B


NEW QUESTION # 38
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The Databricks Certified Data Engineer Associate certification is a valuable credential for data engineers who want to demonstrate their expertise in working with Databricks. The certification is recognized by leading organizations and can help data engineers to advance their careers. The certification is also a great way for data engineers to demonstrate their commitment to ongoing professional development and to stay up to date with the latest trends and technologies in the field.

 

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