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NEW QUESTION # 27
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 single file that contains only the data stored within the table.
- C. Delta tables are stored in a collection of files that contain 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 data, history, metadata, and other attributes.
Answer: E
NEW QUESTION # 28
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 made reproducible.
- C. An automated report needs to be version-controlled across multiple collaborators.
- D. An automated report needs to be runnable by all stakeholders.
- E. An automated report needs to be refreshed as quickly as possible.
Answer: D
NEW QUESTION # 29
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("5 seconds")
- C. trigger()
- D. trigger(processingTime="5 seconds")
- E. trigger(continuous="5 seconds")
Answer: D
NEW QUESTION # 30
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. MERGE
- D. IGNORE
- E. DROP
Answer: C
NEW QUESTION # 31
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. DELETE FROM my_table WHERE age <= 25;
- D. DELETE FROM my_table WHERE age > 25;
- E. UPDATE my_table WHERE age > 25;
Answer: D
NEW QUESTION # 32
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 to immediately review the processing notebook.
- B. They can navigate to the Runs tab in the Jobs UI to immediately review the processing notebook.
- C. There is no way to determine why a Job task is running slowly.
- D. They can navigate to the Tasks tab in the Jobs UI and click on the active run to review the processing notebook.
- E. They can navigate to the Runs tab in the Jobs UI and click on the active run to review the processing notebook.
Answer: E
NEW QUESTION # 33
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 increase the cluster size of the SQL endpoint.
- B. They can turn on the Serverless feature for the SQL endpoint.
- C. They can turn on the Auto Stop feature for the SQL endpoint.
- D. They can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to
"Reliability Optimized." - E. They can increase the maximum bound of the SQL endpoint's scaling range.
Answer: E
NEW QUESTION # 34
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 automatically restrict access to the source table in the final query so that it is only accessible on Sundays.
- B. They could only run the entire program 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 submit a feature request with Databricks to add this functionality.
- E. They could wrap the queries using PySpark and use Python's control flow system to determine when to run the final query.
Answer: E
NEW QUESTION # 35
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 is wholly housed within the Databricks Lakehouse Platform
- B. Databricks Repos automatically saves development progress
- C. Databricks Repos allows users to revert to previous versions of a notebook
- D. Databricks Repos supports the use of multiple branches
- E. Databricks Repos provides the ability to comment on specific changes
Answer: D
NEW QUESTION # 36
Which of the following describes when to use the CREATE STREAMING LIVE TABLE (formerly CREATE INCREMENTAL LIVE TABLE) syntax over the CREATE LIVE TABLE syntax when creating Delta Live Tables (DLT) tables using SQL?
- A. CREATE STREAMING LIVE TABLE should be used when data needs to be processed through complicated aggregations.
- B. CREATE STREAMING LIVE TABLE should be used when data needs to be processed incrementally.
- C. CREATE STREAMING LIVE TABLE is redundant for DLT and it does not need to be used.
- D. CREATE STREAMING LIVE TABLE should be used when the previous step in the DLT pipeline is static.
- E. CREATE STREAMING LIVE TABLE should be used when the subsequent step in the DLT pipeline is static.
Answer: B
NEW QUESTION # 37
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.table("sales")
- B. SELECT * FROM sales
- C. There is no way to share data between PySpark and SQL.
- D. spark.delta.table("sales")
- E. spark.sql("sales")
Answer: D
NEW QUESTION # 38
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 set up the dashboard's SQL endpoint to be serverless.
- B. They can turn on the Auto Stop feature for the SQL endpoint.
- C. They can reduce the cluster size of the SQL endpoint.
- D. They can ensure the dashboard's SQL endpoint is not one of the included query's SQL endpoint.
- E. They can ensure the dashboard's SQL endpoint matches each of the queries' SQL endpoints.
Answer: B
NEW QUESTION # 39
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 cannot ensure the query does not cost the organization money beyond the first week of the project's release.
- B. They can set a limit to the number of DBUs that are consumed by the SQL Endpoint.
- C. They can set the query's refresh schedule to end after a certain number of refreshes.
- 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 the query's refresh schedule to end on a certain date in the query scheduler.
Answer: E
NEW QUESTION # 40
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 clone the existing task to a new Job and then edit it to run the new notebook.
- 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 job from scratch and add both tasks to run concurrently.
- D. They can create a new task in the existing Job and then add the original task as a dependency of the new task.
- E. They can create a new task in the existing Job and then add it as a dependency of the original task.
Answer: A
NEW QUESTION # 41
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 set up DLT to notify them via email when records are dropped.
- B. They can navigate to the DLT pipeline page, click on each table, and view the data quality statistics.
- C. They can set up separate expectations for each table when developing their DLT pipeline.
- D. They can navigate to the DLT pipeline page, click on the "Error" button, and review the present errors.
- E. They cannot determine which table is dropping the records.
Answer: D
NEW QUESTION # 42
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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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