An engineering manager uses a Databricks SQL query to monitor ingestion latency for each data source. The manager checks the results of the query every day, but they are manually rerunning the query each day and waiting for the results.
Which of the following approaches can the manager use to ensure the results of the query are updated each day?

• A.They can schedule the query to refresh every 1 day from the SQL endpoint's page in Databricks SQL.
• B.They can schedule the query to refresh every 12 hours from the SQL endpoint's page in Databricks SQL.
• C.They can schedule the query to refresh every 1 day from the query's page in Databricks SQL.
• D.They can schedule the query to run every 1 day from the Jobs UI.
• E.They can schedule the query to run every 12 hours from the Jobs UI.

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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.Write-ahead Logs and Idempotent Sinks
• B.Checkpointing and Write-ahead Logs
• C.Checkpointing and Idempotent Sinks
• D.Structured Streaming cannot record the offset range of the data being processed in each trigger.
• E.Replayable Sources and Idempotent Sinks

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A dataset has been defined using Delta Live Tables and includes an expectations clause:
CONSTRAINT valid_timestamp EXPECT (timestamp > '2020-01-01') ON VIOLATION FAIL UPDATE 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 cause the job to fail.
• C.Records that violate the expectation are dropped from the target dataset and loaded into a quarantine table.
• D.Records that violate the expectation are added to the target dataset and recorded as invalid in the event log.
• E.Records that violate the expectation are added to the target dataset and flagged as invalid in a field added to the target dataset.

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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 Runs tab in the Jobs UI to immediately review the processing notebook.
• B.They can navigate to the Tasks tab in the Jobs UI and click on the active run to review the processing notebook.
• C.They can navigate to the Runs tab in the Jobs UI and click on the active run to review the processing notebook.
• D.There is no way to determine why a Job task is running slowly.
• E.They can navigate to the Tasks tab in the Jobs UI to immediately review the processing notebook.

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A data engineer needs to create a table in Databricks using data from a CSV file at location /path/to/csv.
They run the following command:

Which of the following lines of code fills in the above blank to successfully complete the task?

• A.USING DELTA
• B.USING CSV
• C.FROM CSV
• D.FROM "path/to/csv"
• E.None of these lines of code are needed to successfully complete the task

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