Syntax, serialization, data validation, and other user errors can occur when running Spark applications. View the numbered list and select the option that places this numbered list in the order of how Spark handles application errors. <ol> <li> view the driver event log to locate the cause of an application failure. </li> <li> If all attempts to run the task fail, Spark reports an error to the driver and the application is terminated. </li> <li> If a task fails due to an error, Spark can attempt to rerun the task for a set number of retries. </li> </ol>

Yes! This answer is correct. Spark can rerun tasks. If all attempts to run the task fail, Spark reports an error to the driver and the application is terminated. Then, view the driver event log to locate the cause of an application failure.

Graded Quiz: Introduction To Monitoring & Tuning » Week 6 » Introduction To Big Data With Spark And Hadoop

Q: Select the option that includes the available tabs within the Apache Spark User Interface.

Yes! This answer is correct! All these tabbed options are available within the Spark Application UI. However, the SQL tab is optional, and is displayed based on the application.

Q: Which action triggers job creation and schedules the tasks?

Feedback: Yes! This answer is correct! This action triggers the job creation and schedules the tasks, as the previous operations are all lazily computed.

Q: Select an option to filI in the blank. If a DataFrame is not cached, then different random features would be generated with each action on the DataFrame, because the function _____ is called each time.

Yes! If a DataFrame is not cached, then different random features would be generated with each action on the DataFrame, because the function ‘rand()’is called each time.