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A data engineer is designing a pipeline in Databricks that processes records from a Kafka stream where late- arriving data is common.
Which approach should the data engineer use?

• A. Use a watermark to specify the allowed lateness to accommodate records that arrive after their expected window, ensuring correct aggregation and state management.
• B. Use batch processing and overwrite the entire output table each time to ensure late data is incorporated correctly.
• C. Implement a custom solution using Databricks Jobs to periodically reprocess all historical data.
• D. Use an Auto CDC pipeline with batch tables to simplify late data handling.

A data engineer has created a new cluster using shared access mode with default configurations. The data engineer needs to allow the development team access to view the driver logs if needed.
What are the minimal cluster permissions that allow the development team to accomplish this?

• A. CAN MANAGE
• B. CAN ATTACH TO
• C. CAN RESTART
• D. CAN VIEW

A junior data engineer seeks to leverage Delta Lake ' s Change Data Feed functionality to create a Type 1 table representing all of the values that have ever been valid for all rows in a bronze table created with the property delta.enableChangeDataFeed = true . They plan to execute the following code as a daily job:

Which statement describes the execution and results of running the above query multiple times?

• A. Each time the job is executed, only those records that have been inserted or updated since the last execution will be appended to the target table giving the desired result.
• B. Each time the job is executed, the entire available history of inserted or updated records will be appended to the target table, resulting in many duplicate entries.
• C. Each time the job is executed, the target table will be overwritten using the entire history of inserted or updated records, giving the desired result.
• D. Each time the job is executed, the differences between the original and current versions are calculated; this may result in duplicate entries for some records.
• E. Each time the job is executed, newly updated records will be merged into the target table, overwriting previous values with the same primary keys.

A data engineer has created a transactions Delta table on Databricks that should be used by the analytics team.
The analytics team wants to use the table with another tool that requires Apache Iceberg format.
What should the data engineer do?

• A. Enable uniform on the transactions table to ' iceberg ' so that the table can be read as an Iceberg table.
• B. Convert the transactions Delta table to Iceberg and enable uniform so that the table can be read as a Delta table.
• C. Create an Iceberg copy of the transactions Delta table which can be used by the analytics team.
• D. Require the analytics team to use a tool that supports Delta table.

A distributed team of data analysts share computing resources on an interactive cluster with autoscaling configured. In order to better manage costs and query throughput, the workspace administrator is hoping to evaluate whether cluster upscaling is caused by many concurrent users or resource-intensive queries.
In which location can one review the timeline for cluster resizing events?

• A. Driver ' s log file
• B. Workspace audit logs
• C. Ganglia
• D. Cluster Event Log
• E. Executor ' s log file