AD0-E902 Exam Dumps : Adobe Workfront Fusion Professional

Step by Step Comprehensive Detailed Explanation:

Understanding the Error:

The error message [403] The caller does not have permission is aGoogle API permission error.

It typically indicates that the user or application does not have the required access rights to perform the requested action on the Google Slide presentation.

Option Analysis:

A. Reauthorize their Google connection:

This step might be necessary if the user's credentials or token have expired, but this is not the primary issue here since the error specifically states apermission problem.

B. Update Google sharing permissions for the document:

Correct. The error suggests that the Google Slide document has not been shared with the user or service account being used in Fusion. Updating the sharing settings to grant proper permissions (e.g., "Editor" or "Viewer" access) will resolve the issue.

C. Contact Workfront Support to troubleshoot the root cause:

While Workfront Support can help with Fusion-related issues, this error originates from Google and is unrelated to Workfront's systems.

D. Search the Google status site to determine the cause:

The Google status site is useful for identifying system-wide outages, but this is a user-specific permission issue, not a Google platform-wide problem.

Steps to Resolve:

Open the Google Slide presentation.

Update the sharing permissions:

Grant access to the Google account or service account being used in Fusion.

Ensure the account has at leastEditoror appropriate access rights.

Save the changes and rerun the Fusion scenario.

Why Updating Permissions is Best:

This action directly addresses the root cause of the error, which is inadequate access rights.

Once permissions are updated, Fusion will be able to connect to and manipulate the Google Slide document as intended.

References:The [403] The caller does not have permission error is documented in Google API troubleshooting guides, which recommend verifying and updating document sharing settings for resolving access issues.

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.

Step by Step Comprehensive Detailed Explanation:

Problem Summary:

A trigger module is causing excessive iteration processing thousands of bundles unnecessarily.

The goal is to optimize the scenario by reducing the number of processed bundles.

Option Analysis:

A. Configure the trigger module to reduce the maximum number of results:

Reducing the maximum number of results processed per cycle limits the number of bundles processed at a time, but it does not solve the root issue of processing unnecessary records.

B. Configure the trigger module to filter out unnecessary records:

Filtering at the trigger level ensures that only the required records are fetched for processing, addressing the root cause of excessive bundle processing. This is the correct answer.

C. Configure scenario settings to reduce cycles per execution:

Limiting execution cycles reduces the overall runtime but does not directly address the number of bundles being processed unnecessarily.

Why Filtering at the Trigger is Best:

Efficiency: By setting up filters directly in the trigger, you ensure that only relevant data is retrieved.

Performance: Reducing the number of unnecessary bundles improves processing speed and reduces resource usage.

Accuracy: Filtering ensures only actionable data enters the workflow, maintaining scenario integrity.

How to Implement:

Open the trigger module settings.

Add appropriate filters to exclude unnecessary records. For example:

Add conditions to filter out old data or irrelevant statuses.

Use fields like updatedDate, status, or any other criteria relevant to the workflow.

Test the trigger module to verify that only relevant bundles are retrieved.

References:These answers are based on Workfront Fusion best practices for optimizing scenarios, as outlined in the Fusion documentation. Proper use of mapping panel functions and trigger filters ensures scenarios are efficient and scalable.