Understanding the Issue:

The customer is syncing20,000+ Salesforce Opportunitieswith Workfront projects using a scheduled Fusion scenario.

After running for 40 minutes, the scenario unexpectedly stops.

Why Option C is Correct:

Workfront Fusion Execution Timeout:

Fusion scenarios have a default execution timeout of40 minutesper run.

If the scenario exceeds this time limit, Fusion automatically stops the execution to avoid resource overuse.

Handling Large Data Sets:

Scenarios involving large datasets (like syncing 20,000+ records) may require optimizations, such as breaking the data into smaller chunks using paginated requests or iterators.

In this case, the scenario stopped because the execution timeout was reached, not due to API limits or webhook restrictions.

Why the Other Options are Incorrect:

Option A ("Workfront API call limit"):

While Workfront does have API rate limits, they are generally generous and not the reason for the scenario stopping. Fusion scenarios are designed to manage API calls efficiently.

Option B ("Fusion times out if processing over 2000 records in 40 minutes"):

This is incorrect because Fusion does not have a hard limit on the number of records processed in 40 minutes. The timeout is time-based, not record-based.

Option D ("Workfront API stops webhooks after 2000 hits in 10 minutes"):

This does not apply to Fusion scenarios. Webhooks are separate from the API calls initiated by Fusion.

How to Resolve the Issue:

Split the Data: Use pagination or batch processing to divide the 20,000+ records into smaller chunks (e.g., 1,000 or 2,000 records per run).

Adjust Scheduling: Schedule the scenario to run more frequently with smaller batches, ensuring all records are synced over multiple runs.

Use Iterators: Add an Iterator module to loop through smaller subsets of data, preventing the scenario from exceeding the execution timeout.

Steps to Optimize the Scenario:

Add aSearch Moduleto retrieve opportunities in smaller batches (e.g., using limits or pagination parameters).

Use aRepeater Moduleto process each batch iteratively.

Save the scenario and schedule it to run nightly or more frequently, depending on the sync requirements.

References and Supporting Documentation:

Adobe Workfront Fusion: Execution Timeout Limits

Workfront Community: Managing Large Data Sets in Fusion Scenarios

By optimizing the scenario to handle smaller batches of data, the admin can avoid the execution timeout issue and ensure successful syncing of Salesforce Opportunities with Workfront projects.