HOTSPOT
You have a pipeline that contains an input dataset in Microsoft Azure Table Storage and an output dataset in
Azure Blob storage.

You have the following JSON data.
Use the drop-down menus to select the answer choice that completes each statement based on the information
presented in the JSON data.
NOTE: Each correct selection is worth one point.
Hot Area:

Answer:

Explanation:
Box 1: Every three days at 10.00
anchorDateTime defines the absolute position in time used by the scheduler to compute dataset slice
boundaries.
“frequency”: “<Specifies the time unit for data slice production. Supported frequency: Minute, Hour, Day, Week,
Month>”,
“interval”: “<Specifies the interval within the defined frequency. For example, frequency set to ‘Hour’ and interval
set to 1 indicates that new data slices should be produced hourly>
Box 2: Every minute up to three times.
retryInterval is the wait time between a failure and the next attempt. This setting applies to present time. If the
previous try failed, the next try is after the retryInterval period.
Example: 00:01:00 (1 minute)
Example: If it is 1:00 PM right now, we begin the first try. If the duration to complete the first validation check is
1 minute and the operation failed, the next retry is at 1:00 + 1min (duration) + 1min (retry interval) = 1:02 PM.
For slices in the past, there is no delay. The retry happens immediately.
retryTimeout is the timeout for each retry attempt.
maximumRetry is the number of times to check for the availability of the external data.
https://docs.microsoft.com/en-us/azure/data-factory/data-factory-create-datasets