2023 Updated Verified Databricks-Certified-Data-Engineer-Associate Q&As - Pass Guarantee or Full Refund
[Oct-2023] Databricks-Certified-Data-Engineer-Associate Certification with Actual Questions from PassReview
GAQM Databricks-Certified-Data-Engineer-Associate exam is a rigorous and challenging certification that requires candidates to have a strong foundation in data engineering principles and practices. It is recommended that candidates have at least 2-3 years of experience working with big data technologies before attempting the exam. However, there are training courses and study materials available to help candidates prepare for the exam and gain the necessary skills and knowledge.
NEW QUESTION # 18
A data engineer needs to determine whether to use the built-in Databricks Notebooks versioning or version their project using Databricks Repos.
Which of the following is an advantage of using Databricks Repos over the Databricks Notebooks versioning?
- A. Databricks Repos supports the use of multiple branches
- B. Databricks Repos allows users to revert to previous versions of a notebook
- C. Databricks Repos is wholly housed within the Databricks Lakehouse Platform
- D. Databricks Repos automatically saves development progress
- E. Databricks Repos provides the ability to comment on specific changes
Answer: A
NEW QUESTION # 19
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 on a certain date in the query scheduler.
- B. They can set a limit to the number of individuals that are able to manage the query's refresh schedule.
- C. They cannot ensure the query does not cost the organization money beyond the first week of the project's release.
- D. They can set a limit to the number of DBUs that are consumed by the SQL Endpoint.
- E. They can set the query's refresh schedule to end after a certain number of refreshes.
Answer: A
NEW QUESTION # 20
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 once and the pipeline will shut down. The compute resources will persist to allow for additional testing.
- B. All datasets will be updated once and the pipeline will shut down. The compute resources will be terminated.
- C. All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.
- D. All datasets will be updated once and the pipeline will persist without any processing. The compute resources will persist but go unused.
- 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: A
NEW QUESTION # 21
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. INSERT
- C. DROP
- D. IGNORE
- E. MERGE
Answer: E
NEW QUESTION # 22
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 Auto Stop 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 Serverless 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 # 23
Which of the following data lakehouse features results in improved data quality over a traditional data lake?
- A. A data lakehouse provides storage solutions for structured and unstructured data.
- B. A data lakehouse enables machine learning and artificial Intelligence workloads.
- C. A data lakehouse allows the use of SQL queries to examine data.
- D. A data lakehouse stores data in open formats.
- E. A data lakehouse supports ACID-compliant transactions.
Answer: C
NEW QUESTION # 24
Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?
- A. The ability to support batch and streaming workloads
- B. The ability to distribute complex data operations
- C. The ability to collaborate in real time on a single notebook
- D. The ability to manipulate the same data using a variety of languages
- E. The ability to set up alerts for query failures
Answer: A
NEW QUESTION # 25
A data engineer is attempting to drop a Spark SQL table my_table. The data engineer wants to delete all table metadata and data.
They run the following command:
DROP TABLE IF EXISTS my_table
While the object no longer appears when they run SHOW TABLES, the data files still exist.
Which of the following describes why the data files still exist and the metadata files were deleted?
- A. The table's data was larger than 10 GB
- B. The table was managed
- C. The table's data was smaller than 10 GB
- D. The table was external
- E. The table did not have a location
Answer: D
NEW QUESTION # 26
A dataset has been defined using Delta Live Tables and includes an expectations clause:
CONSTRAINT valid_timestamp EXPECT (timestamp > '2020-01-01') ON VIOLATION DROP ROW What is the expected behavior when a batch of data containing data that violates these constraints is processed?
- A. Records that violate the expectation are added to the target dataset and recorded as invalid in the event log.
- B. Records that violate the expectation are dropped from the target dataset and loaded into a quarantine table.
- C. Records that violate the expectation cause the job to fail.
- D. Records that violate the expectation are dropped from the target dataset and recorded as invalid in the event log.
- E. Records that violate the expectation are added to the target dataset and flagged as invalid in a field added to the target dataset.
Answer: A
NEW QUESTION # 27
A data engineer has a single-task Job that runs each morning before they begin working. After identifying an upstream data issue, they need to set up another task to run a new notebook prior to the original task.
Which of the following approaches can the data engineer use to set up the new task?
- A. They can create a new task in the existing Job and then add it as a dependency of the original task.
- B. They can create a new task in the existing Job and then add the original task as a dependency of the new task.
- C. They can create a new job from scratch and add both tasks to run concurrently.
- D. They can clone the existing task in the existing Job and update it to run the new notebook.
- E. They can clone the existing task to a new Job and then edit it to run the new notebook.
Answer: E
NEW QUESTION # 28
A data engineer has realized that they made a mistake when making a daily update to a table. They need to use Delta time travel to restore the table to a version that is 3 days old. However, when the data engineer attempts to time travel to the older version, they are unable to restore the data because the data files have been deleted.
Which of the following explains why the data files are no longer present?
- A. The HISTORY command was run on the table
- B. The OPTIMIZE command was nun on the table
- C. The VACUUM command was run on the table
- D. The DELETE HISTORY command was run on the table
- E. The TIME TRAVEL command was run on the table
Answer: D
NEW QUESTION # 29
Which of the following tools is used by Auto Loader process data incrementally?
- A. Databricks SQL
- B. Unity Catalog
- C. Spark Structured Streaming
- D. Data Explorer
- E. Checkpointing
Answer: C
NEW QUESTION # 30
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 # 31
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 ALL PRIVILEGES ON DATABASE team TO customers;
- B. GRANT ALL PRIVILEGES ON DATABASE customers TO team;
- C. GRANT SELECT CREATE MODIFY USAGE PRIVILEGES ON DATABASE customers TO team;
- D. GRANT SELECT PRIVILEGES ON DATABASE customers TO teams;
- E. GRANT USAGE ON DATABASE customers TO team;
Answer: B
NEW QUESTION # 32
A data analyst has a series of queries in a SQL program. The data analyst wants this program to run every day.
They only want the final query in the program to run on Sundays. They ask for help from the data engineering team to complete this task.
Which of the following approaches could be used by the data engineering team to complete this task?
- A. They could redesign the data model to separate the data used in the final query into a new table.
- B. They could wrap the queries using PySpark and use Python's control flow system to determine when to run the final query.
- C. They could only run the entire program on Sundays.
- D. They could automatically restrict access to the source table in the final query so that it is only accessible on Sundays.
- E. They could submit a feature request with Databricks to add this functionality.
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 Tasks tab in the Jobs UI and click on the active run to review the processing notebook.
- B. They can navigate to the Runs tab in the Jobs UI and click on the active run to review the processing notebook.
- C. They can navigate to the Runs tab in the Jobs UI to immediately review the processing notebook.
- D. There is no way to determine why a Job task is running slowly.
- E. They can navigate to the Tasks tab in the Jobs UI to immediately review the processing notebook.
Answer: B
NEW QUESTION # 34
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. Write-ahead Logs and Idempotent Sinks
- B. Replayable Sources and Idempotent Sinks
- C. Checkpointing and Idempotent Sinks
- D. Checkpointing and Write-ahead Logs
- E. Structured Streaming cannot record the offset range of the data being processed in each trigger.
Answer: C
NEW QUESTION # 35
Which of the following Git operations must be performed outside of Databricks Repos?
- A. Clone
- B. Pull
- C. Commit
- D. Push
- E. Merge
Answer: A
NEW QUESTION # 36
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