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NEW QUESTION # 16
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 TIME TRAVEL command was run on the table
- D. The VACUUM command was run on the table
- E. The DELETE HISTORY command was run on the table
Answer: E
NEW QUESTION # 17
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 the previous step in the DLT pipeline is static.
- B. CREATE STREAMING LIVE TABLE should be used when data needs to be processed through complicated aggregations.
- 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 data needs to be processed incrementally.
- E. CREATE STREAMING LIVE TABLE should be used when the subsequent step in the DLT pipeline is static.
Answer: D
NEW QUESTION # 18
Which of the following commands can be used to write data into a Delta table while avoiding the writing of duplicate records?
- A. IGNORE
- B. DROP
- C. APPEND
- D. MERGE
- E. INSERT
Answer: D
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 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 individuals that are able to manage the query's refresh schedule.
- C. They can set the query's refresh schedule to end after a certain number of refreshes.
- D. They can set the query's refresh schedule to end on a certain date in the query scheduler.
- E. They can set a limit to the number of DBUs that are consumed by the SQL Endpoint.
Answer: D
NEW QUESTION # 20
Which of the following describes the relationship between Gold tables and Silver tables?
- A. Gold tables are more likely to contain truthful data than Silver tables.
- B. Gold tables are more likely to contain a less refined view of data than Silver tables.
- C. Gold tables are more likely to contain more data than Silver tables.
- D. Gold tables are more likely to contain valuable data than Silver tables.
- E. Gold tables are more likely to contain aggregations than Silver tables.
Answer: B
NEW QUESTION # 21
Which of the following describes the storage organization of a Delta table?
- A. Delta tables are stored in a single file that contains only the data stored within the table.
- B. Delta tables are stored in a collection of files that contain only the data stored within the table.
- C. Delta tables are stored in a collection of files that contain data, history, metadata, and other attributes.
- D. Delta tables store their data in a single file and all metadata in a collection of files in a separate location.
- E. Delta tables are stored in a single file that contains data, history, metadata, and other attributes.
Answer: C
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 Serverless feature for the SQL endpoint.
- B. They can increase the maximum bound of the SQL endpoint's scaling range.
- 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 cluster size of the SQL endpoint.
Answer: B
NEW QUESTION # 23
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 the original task as a dependency of the new task.
- B. They can create a new task in the existing Job and then add it as a dependency of the original task.
- C. They can create a new job from scratch and add both tasks to run concurrently.
- D. They can clone the existing task to a new Job and then edit it to run the new notebook.
- E. They can clone the existing task in the existing Job and update it to run the new notebook.
Answer: D
NEW QUESTION # 24
Which of the following describes the relationship between Bronze tables and raw data?
- A. Bronze tables contain raw data with a schema applied.
- B. Bronze tables contain a less refined view of data than raw data.
- C. Bronze tables contain more truthful data than raw data.
- D. Bronze tables contain aggregates while raw data is unaggregated.
- E. Bronze tables contain less data than raw data files.
Answer: D
NEW QUESTION # 25
A data engineer needs to create a table in Databricks using data from their organization's existing SQLite database.
They run the following command:
Which of the following lines of code fills in the above blank to successfully complete the task?
- A. sqlite
- B. autoloader
- C. org.apache.spark.sql.sqlite
- D. DELTA
- E. org.apache.spark.sql.jdbc
Answer: C
NEW QUESTION # 26
A data engineer has been using a Databricks SQL dashboard to monitor the cleanliness of the input data to an ELT job. The ELT job has its Databricks SQL query that returns the number of input records containing unexpected NULL values. The data engineer wants their entire team to be notified via a messaging webhook whenever this value reaches 100.
Which of the following approaches can the data engineer use to notify their entire team via a messaging webhook whenever the number of NULL values reaches 100?
- A. They can set up an Alert with a new webhook alert destination.
- B. They can set up an Alert without notifications.
- C. They can set up an Alert with a new email alert destination.
- D. They can set up an Alert with a custom template.
- E. They can set up an Alert with one-time notifications.
Answer: A
NEW QUESTION # 27
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. Temporary view
- B. Table
- C. Function
- D. View
- E. Database
Answer: D
NEW QUESTION # 28
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 manipulate the same data using a variety of languages
- D. The ability to distribute complex data operations
- E. The ability to support batch and streaming workloads
Answer: E
NEW QUESTION # 29
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 stores data in open formats.
- D. A data lakehouse allows the use of SQL queries to examine data.
- E. A data lakehouse supports ACID-compliant transactions.
Answer: D
NEW QUESTION # 30
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 be terminated.
- 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 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 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.
- E. All datasets will be updated once and the pipeline will shut down. The compute resources will persist to allow for additional testing.
Answer: E
NEW QUESTION # 31
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 version-controlled across multiple collaborators.
- D. An automated report needs to be refreshed as quickly as possible.
- E. An automated report needs to be runnable by all stakeholders.
Answer: E
NEW QUESTION # 32
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: E
NEW QUESTION # 33
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Databricks-Certified-Data-Engineer-Associate certification exam is designed to test and validate the skills and knowledge of data engineers who work with Databricks. Databricks is a cloud-based data processing and analytics platform that allows companies to process and analyze large amounts of data in real-time. Databricks Certified Data Engineer Associate Exam certification exam covers a range of topics, including data engineering, data processing, and machine learning.
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