Adobe AD0-E902 Exam Dumps

Understanding the Requirement:

The project name in Workfront must include:

Purchase Order Number (PO#).

Name of the product.

PO Fulfillment Date (formatted as YY/MM/DD).

If a discount is provided, append the discount percentage and the approver's last name in the format: 15% Discount - UserLast.

Example Output:

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2837 - Compendium-Premium Running Shoes - 21/02/16 - 15% Discount - UserLast

Why Option A is Correct:

The expression in Option A achieves the desired result step-by-step:

3.PO#: Includes the PO number.

3.Name: Appends the name of the product.

formatDate(3.PO Fulfillment Date, YY/MM/DD): Formats the PO Fulfillment Date in the desired YY/MM/DD format.

if(3.Discount Provided? = 'Yes'; '- ' + 3.Discount % + ' Discount - ' + 3.Approver Last Name):

Uses the if function to check if a discount was provided.

If 'Yes,' it appends the discount percentage (3.Discount %) and approver's last name (3.Approver Last Name) with the required format.

Why the Other Options are Incorrect:

Option B:

The expression is incorrect because it places if(3.Discount Provided?...) directly after PO Fulfillment Date without using formatDate for date formatting. This results in an unformatted date.

Option C:

Uses parseDate instead of formatDate, which is incorrect in this context. parseDate is used to interpret strings as dates, not to format dates for output.

Option D:

The expression does not include any conditional logic for checking if a discount is provided. It simply appends Discount - Approver Last Name regardless of whether a discount was given.

Steps to Use the Expression in Workfront Fusion:

Place the expression in the module that defines the project title in Workfront.

Map the fields (PO#, Name, PO Fulfillment Date, etc.) to the respective columns from the CSV data.

Test the scenario to ensure the output matches the desired format.

Final Expression (Option A):

3.PO# + ' - ' + 3.Name + ' - ' + formatDate(3.PO Fulfillment Date; YY/MM/DD) + if(3.Discount Provided? = 'Yes'; ' - ' + 3.Discount % + ' Discount - ' + 3.Approver Last Name)

Reference and Supporting Documentation:

Adobe Workfront Fusion Functions Documentation

Workfront Community: Handling Conditional Logic and Date Formatting

Step by Step Comprehensive Detailed Explanation:

Best Practices for Scenario Clarity:

Workfront Fusion scenarios can become complex. Adopting practices that enhance readability, shareability, and understanding ensures the scenario can be maintained and used effectively by others.

Option Analysis:

A . Naming all modules by providing short but relevant labels:

Correct. Proper naming helps identify the function of each module at a glance. For example, instead of generic names like 'Project Search,' use 'Search High Priority Projects.'

This makes it easier to debug, share, and update the scenario.

B . Insert Note Modules at the beginning of the scenario:

Incorrect. While notes are useful, inserting a Note module at the beginning is not always necessary unless clarification is required for the initial step. Adding notes throughout the scenario (Option C) is more beneficial.

C . Add notes where applicable to clarify what is happening:

Correct. Adding comments or notes helps explain the purpose of certain steps, making the scenario easier to understand for collaborators or when revisiting it in the future.

D . Attach the requirements document using the scenario settings:

Incorrect. Attaching a requirements document might be useful for reference but does not directly contribute to scenario readability or understanding within the interface.

Implementation Tips:

Use descriptive names for modules that clearly indicate their purpose (e.g., 'Update Project Status' instead of 'Update Record').

Add comments or notes at decision points or complex mapping expressions to explain logic.

Understanding the Issue:

The user observes that all task due dates are incorrect due to a mismatch in the time zone.

The solution must ensure that the correct time zone is applied universally across all scenarios and dates within the organization's Fusion instance.

Why Option B is Correct:

Fusion Organization's Time Zone Setting:

Changing the time zone at the organization level ensures that all scenarios within the organization adopt the updated time zone setting.

This change applies globally, making it the simplest and most efficient method to ensure consistency across all dates and scenarios.

This adjustment prevents the need for scenario-specific or localized changes, saving time and reducing errors.

Why the Other Options are Incorrect:

Option A ('Set a variable for every date using formatDate'):

While the formatDate function can adjust time zones for individual dates, applying this approach to every date in every scenario is highly inefficient and error-prone. It does not offer a global solution.

Option C ('Change the scenario's time zone default'):

Scenarios in Fusion do not have a specific 'time zone default' setting. The organization's time zone setting is the controlling factor.

Option D ('Change the time zone in the computer's localization settings'):

Fusion scenarios run on cloud servers, not the user's local machine. Changing the computer's time zone would have no effect on the scenarios' behavior.

Steps to Change the Organization's Time Zone:

Log in to Adobe Workfront Fusion.

Navigate to the Organization Settings:

Go to the Admin Panel or the organization settings section.

Locate the Time Zone setting.

Select the desired time zone from the dropdown list.

Save the changes.

All scenarios will now adopt the updated time zone setting.

How This Solves the Problem:

Changing the organization's time zone applies a consistent time zone across all dates used in scenarios. This ensures accuracy without requiring individual scenario adjustments or manual interventions.

Reference and Supporting Documentation:

Adobe Workfront Fusion Official Documentation: Organization Settings

Workfront Community: Best Practices for Time Zone Configuration

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.

Reference 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.

Understanding the Scenario:

The scenario includes two modules:

Workfront Search Module: Fetches data (likely project details).

Tools Module: Manipulates and sets multiple variables.

What the Images Show:

Workfront Search Module (First Module):

The output indicates 29 bundles of project data were retrieved.

Each bundle contains fields such as ID, name, and plannedCompletionDate.

Tools Module (Second Module):

The data from the Workfront module is processed to set variables like Project Name and Project Due Date.

Output includes transformed values, such as appending the approver's name ('Joan Harris') to the project name and updating the project due date.

Why Option C is Correct:

Delivery of 29 Bundles: The Workfront module retrieved 29 project bundles and passed them to the Tools module.

Data Manipulation in Tools Module: The second module modified the data, such as appending 'Joan Harris' to the project name and updating the due date to a different value. This is evident from the changes in the output of the Tools module compared to the input from the Workfront module.

Why the Other Options are Incorrect:

Option A:

Incorrect because the Workfront module retrieved 29 bundles, not just 1 bundle. Additionally, the project name and planned completion date were manipulated in the second module, not the first.

Option B:

Incorrect because the retrieved data pertains to projects, not tasks.

Option D:

Incorrect because the input and output fields in the Tools module are not identical. The data was clearly manipulated within the Tools module.

How This Scenario Operates:

The Workfront module fetches raw data, which is then processed in the Tools module. The processed variables (e.g., modified project names and due dates) are prepared for further use in subsequent scenario steps.

Reference and Supporting Documentation:

Adobe Workfront Fusion Documentation: Bundle Inspector

Workfront Community: Using Tools Module for Data Manipulation

The correct interpretation is that the first module delivered 29 bundles to the second module, where data manipulations occurred to modify the project name and planned completion date.