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[General] Useful Databricks - Databricks-Certified-Data-Engineer-Associate Actualtest

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【General】 Useful Databricks - Databricks-Certified-Data-Engineer-Associate Actualtest

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q79-Q84):NEW QUESTION # 79
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 manager wants 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 the query's refresh schedule to end on a certain date in the query scheduler.
  • C. They can set a limit to the number of DBUs that are consumed by the SQL Endpoint.
  • D. They can set the query's refresh schedule to end after a certain number of refreshes.
  • E. They can set a limit to the number of individuals that are able to manage the query's refresh schedule.
Answer: B
Explanation:
In Databricks SQL, you can use scheduled query executions to update your dashboards or enable routine alerts. By default, your queries do not have a schedule. To set the schedule, you can use the dropdown pickers to specify the frequency, period, starting time, and time zone. You can also choose to end the schedule on a certain date by selecting the End date checkbox and picking a date from the calendar. This way, you can ensure that the query does not run beyond the first week of the project's release and does not incur any additional cost. Option A is incorrect, as setting a limit to the number of DBUs does not stop the query from running. Option B is incorrect, as there is no option to end the schedule after a certain number of refreshes. Option C is incorrect, as there is a way to ensure the query does not cost the organization money beyond the first week of the project's release. Option D is incorrect, as setting a limit to the number of individuals who can manage the query's refresh schedule does not affect the query's execution or cost. Reference: Schedule a query, Schedule a query - Azure Databricks - Databricks SQL

NEW QUESTION # 80
Which of the following approaches should be used to send the Databricks Job owner an email in the case that the Job fails?
  • A. There is no way to notify the Job owner in the case of Job failure
  • B. MLflow Model Registry Webhooks
  • C. Manually programming in an alert system in each cell of the Notebook
  • D. Setting up an Alert in the Notebook
  • E. Setting up an Alert in the Job page
Answer: E
Explanation:
Explanation
https://docs.databricks.com/en/w ... -notifications.html

NEW QUESTION # 81
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 in the existing Job and update it to run the new notebook.
  • B. They can create a new job from scratch and add both tasks to run concurrently.
  • 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 task in the existing Job and then add it as a dependency of the original task.
  • E. They can clone the existing task to a new Job and then edit it to run the new notebook.
Answer: D
Explanation:
To set up the new task to run a new notebook prior to the original task in a single-task Job, the data engineer can use the following approach: In the existing Job, create a new task that corresponds to the new notebook that needs to be run. Set up the new task with the appropriate configuration, specifying the notebook to be executed and any necessary parameters or dependencies. Once the new task is created, designate it as a dependency of the original task in the Job configuration. This ensures that the new task is executed before the original task.

NEW QUESTION # 82
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 Idempotent Sinks
  • B. Write-ahead Logs and Idempotent Sinks
  • C. Checkpointing and Write-ahead Logs
  • D. Structured Streaming cannot record the offset range of the data being processed in each trigger.
  • E. Replayable Sources and Idempotent Sinks
Answer: C
Explanation:
Structured Streaming uses checkpointing and write-ahead logs to record the offset range of the data being processed in each trigger. This ensures that the engine can reliably track the exact progress of the processing and handle any kind of failure by restarting and/or reprocessing. Checkpointing is the mechanism of saving the state of a streaming query to fault-tolerant storage (such as HDFS) so that it can be recovered after a failure.
Write-ahead logs are files that record the offset range of the data being processed in each trigger and are written to the checkpoint location before the processing starts. These logs are used to recover the query state and resume processing from the last processed offset range in case of a failure. References: Structured Streaming Programming Guide, Fault Tolerance Semantics

NEW QUESTION # 83
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: E
Explanation:
The best practice is to use "Complete" as output mode instead of "append" when working with aggregated tables. Since gold layer is work final aggregated tables, the only option with output mode as complete is option E.

NEW QUESTION # 84
......
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