Attempts, one of the three types of items associated with the schedule pipeline in the AWS Data
Pipeline, provides robust data management.
Which of the following statements is NOT true about Attempts?

A.
Attempts provide robust data management.

B.
AWS Data Pipeline retries a failed operation until the count of retries reaches the maximum
number of allowed retry attempts.

C.
An AWS Data Pipeline Attempt object compiles the pipeline components to create a set of
actionable instances.

D.
AWS Data Pipeline Attempt objects track the various attempts, results, and failure reasons if
applicable.

Explanation:
Attempts, one of the three types of items associated with a schedule pipeline in AWS Data
Pipeline, provides robust data management. AWS Data Pipeline retries a failed operation. It
continues to do so until the task reaches the maximum number of allowed retry attempts. Attempt
objects track the various attempts, results, and failure reasons if applicable. Essentially, it is the
instance with a counter. AWS Data Pipeline performs retries using the same resources from the
previous attempts, such as Amazon EMR clusters and EC2 instances.
http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-how-tasks-scheduled.html