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The Databricks Databricks-Certified-Data-Engineer-Associate exam is a 90-minute online exam that consists of 60 multiple-choice questions. Databricks-Certified-Data-Engineer-Associate exam covers various topics such as data ingestion, data transformation, data modeling, data warehousing, and data analysis. Databricks-Certified-Data-Engineer-Associate exam is designed to validate the candidate's ability to work with Databricks in a production environment.
NEW QUESTION # 15
A data engineer wants to create a data entity from a couple of tables. The data entity must be used by other data engineers in other sessions. It also must be saved to a physical location.
Which of the following data entities should the data engineer create?
- A. View
- B. Function
- C. Temporary view
- D. Database
- E. Table
Answer: A
NEW QUESTION # 16
A data engineer has a Job with multiple tasks that runs nightly. Each of the tasks runs slowly because the clusters take a long time to start.
Which of the following actions can the data engineer perform to improve the start up time for the clusters used for the Job?
- A. They can configure the clusters to be single-node
- B. They can configure the clusters to autoscale for larger data sizes
- C. They can use clusters that are from a cluster pool
- D. They can use endpoints available in Databricks SQL
- E. They can use jobs clusters instead of all-purpose clusters
Answer: E
NEW QUESTION # 17
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 clone the existing task in the existing Job and update it to run the new notebook.
- C. They can create a new task in the existing Job and then add the original task as a dependency of the new task.
- D. They can create a new job from scratch and add both tasks to run concurrently.
- E. They can clone the existing task to a new Job and then edit it to run the new notebook.
Answer: E
NEW QUESTION # 18
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 VACUUM command was run on the table
- B. The TIME TRAVEL command was run on the table
- C. The OPTIMIZE command was nun on the table
- D. The DELETE HISTORY command was run on the table
- E. The HISTORY command was run on the table
Answer: D
NEW QUESTION # 19
A data engineer has left the organization. The data team needs to transfer ownership of the data engineer's Delta tables to a new data engineer. The new data engineer is the lead engineer on the data team.
Assuming the original data engineer no longer has access, which of the following individuals must be the one to transfer ownership of the Delta tables in Data Explorer?
- A. Databricks account representative
- B. This transfer is not possible
- C. Original data engineer
- D. Workspace administrator
- E. New lead data engineer
Answer: E
NEW QUESTION # 20
Which of the following commands can be used to write data into a Delta table while avoiding the writing of duplicate records?
- A. MERGE
- B. IGNORE
- C. INSERT
- D. APPEND
- E. DROP
Answer: A
NEW QUESTION # 21
A data engineer is designing a data pipeline. The source system generates files in a shared directory that is also used by other processes. As a result, the files should be kept as is and will accumulate in the directory. The data engineer needs to identify which files are new since the previous run in the pipeline, and set up the pipeline to only ingest those new files with each run.
Which of the following tools can the data engineer use to solve this problem?
- A. Unity Catalog
- B. Databricks SQL
- C. Delta Lake
- D. Auto Loader
- E. Data Explorer
Answer: D
NEW QUESTION # 22
Which of the following commands will return the location of database customer360?
- A. DESCRIBE LOCATION customer360;
- B. ALTER DATABASE customer360 SET DBPROPERTIES ('location' = '/user'};
- C. USE DATABASE customer360;
- D. DROP DATABASE customer360;
- E. DESCRIBE DATABASE customer360;
Answer: E
NEW QUESTION # 23
Which of the following data lakehouse features results in improved data quality over a traditional data lake?
- A. A data lakehouse allows the use of SQL queries to examine data.
- B. A data lakehouse provides storage solutions for structured and unstructured data.
- C. A data lakehouse enables machine learning and artificial Intelligence workloads.
- D. A data lakehouse supports ACID-compliant transactions.
- E. A data lakehouse stores data in open formats.
Answer: A
NEW QUESTION # 24
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 shut down. The compute resources will persist to allow for additional testing.
- C. All datasets will be updated once and the pipeline will shut down. The compute resources will be terminated.
- 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: B
NEW QUESTION # 25
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. SELECT * FROM my_table WHERE age > 25;
- B. UPDATE my_table WHERE age <= 25;
- C. UPDATE my_table WHERE age > 25;
- D. DELETE FROM my_table WHERE age > 25;
- E. DELETE FROM my_table WHERE age <= 25;
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 dropped from the target dataset and recorded as invalid in the event log.
- B. Records that violate the expectation are added to the target dataset and recorded as invalid in the event log.
- C. Records that violate the expectation cause the job to fail.
- D. Records that violate the expectation are dropped from the target dataset and loaded into a quarantine table.
- 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: B
NEW QUESTION # 27
Which of the following describes the relationship between Bronze tables and raw data?
- A. Bronze tables contain a less refined view of data than raw data.
- B. Bronze tables contain aggregates while raw data is unaggregated.
- C. Bronze tables contain less data than raw data files.
- D. Bronze tables contain more truthful data than raw data.
- E. Bronze tables contain raw data with a schema applied.
Answer: B
NEW QUESTION # 28
A data analyst has created a Delta table sales that is used by the entire data analysis team. They want help from the data engineering team to implement a series of tests to ensure the data is clean. However, the data engineering team uses Python for its tests rather than SQL.
Which of the following commands could the data engineering team use to access sales in PySpark?
- A. spark.sql("sales")
- B. SELECT * FROM sales
- C. There is no way to share data between PySpark and SQL.
- D. spark.delta.table("sales")
- E. spark.table("sales")
Answer: D
NEW QUESTION # 29
Which of the following tools is used by Auto Loader process data incrementally?
- A. Unity Catalog
- B. Databricks SQL
- C. Data Explorer
- D. Spark Structured Streaming
- E. Checkpointing
Answer: D
NEW QUESTION # 30
Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?
- A. The ability to distribute complex data operations
- B. The ability to manipulate the same data using a variety of languages
- C. The ability to collaborate in real time on a single notebook
- D. The ability to support batch and streaming workloads
- E. The ability to set up alerts for query failures
Answer: D
NEW QUESTION # 31
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("5 seconds")
- B. trigger(once="5 seconds")
- C. trigger()
- D. trigger(continuous="5 seconds")
- E. trigger(processingTime="5 seconds")
Answer: E
NEW QUESTION # 32
Which of the following is hosted completely in the control plane of the classic Databricks architecture?
- A. Driver node
- B. JDBC data source
- C. Worker node
- D. Databricks Filesystem
- E. Databricks web application
Answer: A
NEW QUESTION # 33
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The GAQM Databricks-Certified-Data-Engineer-Associate certification is an essential credential for individuals and organizations working with big data using Databricks. It validates the candidate's skills and knowledge of data engineering concepts and their ability to design and implement data pipelines using Databricks. Databricks Certified Data Engineer Associate Exam certification is globally recognized and highly respected in the industry, making it a valuable asset for anyone looking to advance their career in the field of data engineering.
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