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 Development 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 at set intervals until the pipeline is shut down. The compute resources will persist until the pipeline is shut down.
• C.All datasets will be updated once and the pipeline will persist without any processing. The compute resources will persist but go unused.
• 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 at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.

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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.sql("sales")
• E.spark.delta.table("sales")

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Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?

• A.The ability to distribute complex data operations
• 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 support batch and streaming workloads
• E.The ability to collaborate in real time on a single notebook

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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.There is no way to share data between PySpark and SQL.
• C.spark.sql("sales")
• D.spark.delta.table("sales")
• E.spark.table("sales")

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Which of the following describes the relationship between Gold tables and Silver tables?

• A.Gold tables are more likely to contain aggregations than Silver tables.
• B.Gold tables are more likely to contain valuable data than Silver tables.
• C.Gold tables are more likely to contain a less refined view of data than Silver tables.
• D.Gold tables are more likely to contain more data than Silver tables.
• E.Gold tables are more likely to contain truthful data than Silver tables.

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