Free Adobe AD0-E902 Practice Exam with Questions & Answers | Set: 2

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.

Understanding Instant and Polling Triggers:

Instant Triggers:

Rely on webhooks to receive real-time data from a third-party system.

The external system sends a notification (webhook) to Fusion whenever an event occurs, triggering the scenario immediately.

Polling Triggers:

Regularly check (poll) the third-party system for new or updated records at scheduled intervals.

These are slower because they involve repeated API requests.

Why Option B is Correct:

Speed and Efficiency:

Instant triggers process data faster because they act immediately upon receiving a webhook. Polling triggers, on the other hand, may take time depending on the polling frequency and can result in unnecessary delays.

Reduced Load on Systems:

Instant triggers generate fewer API calls than polling triggers, which continuously check for new records even if no changes have occurred.

Best Practice: Use instant triggers whenever supported by the third-party system to ensure faster and more efficient scenario execution.

Why the Other Options are Incorrect:

Option A ("Instant triggers store received webhooks in a queue"):

Webhooks do not store data in a queue; they simply notify Fusion of events in real-time. Polling triggers also do not store records but remember the last processed record.

Option C ("A user must set up a webhook in Fusion"):

Instant triggers require setting up webhooks in the external system, not in Fusion. Fusion provides the webhook endpoint, but the user must configure the source system to send data.

Option D ("Only polling triggers can be set to run on a schedule"):

This is incorrect because instant triggers do not rely on schedules; they operate in real-time. Polling triggers, however, run on schedules and are used when instant triggers are unavailable.

References and Supporting Documentation:

Adobe Workfront Fusion Triggers Documentation

Workfront Community: Differences Between Instant and Polling Triggers

Instant triggers are the preferred option when available, as they provide real-time data processing with greater speed and efficiency than polling triggers.