[Jul 01, 2023] ITexamReview Databricks-Certified-Data-Engineer-Associate dumps & GAQM: Date Centre sure practice dumps
GAQM Databricks-Certified-Data-Engineer-Associate Actual Questions and Braindumps
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.
NEW QUESTION # 18
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()
- B. trigger("5 seconds")
- C. trigger(once="5 seconds")
- D. trigger(continuous="5 seconds")
- E. trigger(processingTime="5 seconds")
Answer: E
NEW QUESTION # 19
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. Auto Loader
- C. Databricks SQL
- D. Delta Lake
- E. Data Explorer
Answer: B
NEW QUESTION # 20
Which of the following tools is used by Auto Loader process data incrementally?
- A. Spark Structured Streaming
- B. Unity Catalog
- C. Checkpointing
- D. Databricks SQL
- E. Data Explorer
Answer: A
NEW QUESTION # 21
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 was external
- B. The table's data was smaller than 10 GB
- C. The table did not have a location
- D. The table's data was larger than 10 GB
- E. The table was managed
Answer: A
NEW QUESTION # 22
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. SELECT * FROM sales
- B. spark.table("sales")
- C. spark.sql("sales")
- D. There is no way to share data between PySpark and SQL.
- E. spark.delta.table("sales")
Answer: E
NEW QUESTION # 23
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 Write-ahead Logs
- B. Replayable Sources and Idempotent Sinks
- C. Structured Streaming cannot record the offset range of the data being processed in each trigger.
- D. Write-ahead Logs and Idempotent Sinks
- E. Checkpointing and Idempotent Sinks
Answer: E
NEW QUESTION # 24
Which of the following commands will return the location of database customer360?
- A. DROP DATABASE customer360;
- B. DESCRIBE LOCATION customer360;
- C. ALTER DATABASE customer360 SET DBPROPERTIES ('location' = '/user'};
- D. DESCRIBE DATABASE customer360;
- E. USE DATABASE customer360;
Answer: D
NEW QUESTION # 25
A data engineer wants to schedule their Databricks SQL dashboard to refresh once per day, but they only want the associated SQL endpoint to be running when it is necessary.
Which of the following approaches can the data engineer use to minimize the total running time of the SQL endpoint used in the refresh schedule of their dashboard?
- A. They can turn on the Auto Stop feature for the SQL endpoint.
- B. They can reduce the cluster size of the SQL endpoint.
- C. They can ensure the dashboard's SQL endpoint is not one of the included query's SQL endpoint.
- D. They can set up the dashboard's SQL endpoint to be serverless.
- E. They can ensure the dashboard's SQL endpoint matches each of the queries' SQL endpoints.
Answer: A
NEW QUESTION # 26
A data engineer needs to apply custom logic to string column city in table stores for a specific use case. In order to apply this custom logic at scale, the data engineer wants to create a SQL user-defined function (UDF).
Which of the following code blocks creates this SQL UDF?
- A.
- B.
- C.
- D.
- E.
Answer: D
NEW QUESTION # 27
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 submit a feature request with Databricks to add this functionality.
- B. They could automatically restrict access to the source table in the final query so that it is only accessible on Sundays.
- C. They could redesign the data model to separate the data used in the final query into a new table.
- D. They could wrap the queries using PySpark and use Python's control flow system to determine when to run the final query.
- E. They could only run the entire program on Sundays.
Answer: D
NEW QUESTION # 28
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 job from scratch and add both tasks to run concurrently.
- B. They can clone the existing task to a new Job and then edit 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 clone the existing task in the existing Job and update it to run the new notebook.
- E. They can create a new task in the existing Job and then add it as a dependency of the original task.
Answer: B
NEW QUESTION # 29
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 made reproducible.
- B. An automated report needs to be tested to identify errors.
- C. An automated report needs to be runnable by all stakeholders.
- D. An automated report needs to be version-controlled across multiple collaborators.
- E. An automated report needs to be refreshed as quickly as possible.
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: C
NEW QUESTION # 31
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. APPEND
- C. DROP
- D. INSERT
- E. IGNORE
Answer: A
NEW QUESTION # 32
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 be deployed for the update and terminated when the pipeline is stopped.
- 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 shut down. The compute resources will persist to allow for additional testing.
- E. All datasets will be updated once and the pipeline will persist without any processing. The compute resources will persist but go unused.
Answer: D
NEW QUESTION # 33
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. There is no way to indicate whether a table contains PII.
- B. "COMMENT PII"
- C. COMMENT "Contains PII"
- D. PII
- E. TBLPROPERTIES PII
Answer: E
NEW QUESTION # 34
A data engineer has three tables in a Delta Live Tables (DLT) pipeline. They have configured the pipeline to drop invalid records at each table. They notice that some data is being dropped due to quality concerns at some point in the DLT pipeline. They would like to determine at which table in their pipeline the data is being dropped.
Which of the following approaches can the data engineer take to identify the table that is dropping the records?
- A. They can navigate to the DLT pipeline page, click on each table, and view the data quality statistics.
- B. They can set up DLT to notify them via email when records are dropped.
- C. They cannot determine which table is dropping the records.
- D. They can navigate to the DLT pipeline page, click on the "Error" button, and review the present errors.
- E. They can set up separate expectations for each table when developing their DLT pipeline.
Answer: D
NEW QUESTION # 35
Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?
- A. The ability to collaborate in real time on a single notebook
- B. The ability to set up alerts for query failures
- C. The ability to support batch and streaming workloads
- D. The ability to distribute complex data operations
- E. The ability to manipulate the same data using a variety of languages
Answer: C
NEW QUESTION # 36
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The certification exam focuses on various topics related to data engineering, including data ingestion, data processing, data warehousing, and data analytics. It also covers the fundamentals of big data processing and distributed computing, making it an ideal certification for professionals who want to work with large-scale data sets.
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