Adobe Adobe Workfront Fusion Professional AD0-E902 Exam Dumps: Updated Questions & Answers (October 2025)

Understanding the Diagram:

The image depicts a Workfront Fusion scenario usingRoutersto split and manage multiple execution paths.

Fusion executes modules in aleft-to-rightandtop-to-bottomsequence along each path. Routers direct the flow to downstream modules.

Determining the Execution Sequence:

Path 1:

The first path begins withGoogle Drive. The Router branches out, directing execution sequentially to other modules.

Path 2:

The second path starts withEmailand continues downwards through the remaining modules.

Order Within Branches:

After passing through a Router, each branch completes its sequence of modules before moving to the next Router.

Why Option D is Correct:

Execution begins from the leftmost module (Google Drive) and flows rightward. The sequence is as follows:

Google Drive

Email

Data Store

Workfront

Salesforce

This matches the visual layout and Fusion's execution rules for scenarios with Routers.

Why the Other Options are Incorrect:

Option A ("Google Drive > Email > Workfront > Data Store > Salesforce"):

Incorrect becauseWorkfrontdoes not precedeData Storein the execution order.

Option B ("Email > Workfront > Data Store > Salesforce > Google Drive"):

Incorrect because execution begins withGoogle Drive, not Email.

Option C ("Email > Data Store > Workfront > Salesforce"):

Incorrect because it excludesGoogle Driveas the starting point and places modules out of sequence.

Execution Rules in Workfront Fusion:

Fusion executes modules in the order they appear visually, starting from left to right and top to bottom within each branch.

Routers split the execution into separate branches, which are completed sequentially.

References and Supporting Documentation:

Adobe Workfront Fusion: Execution Flow Rules

Workfront Community: Understanding Router and Module Execution

The correct execution sequence is Google Drive > Email > Data Store > Workfront > Salesforce, ensuring all paths are processed as per the scenario's layout.

Understanding the Issue:

The scenario is making too many API requests, causing the third-party API to return a429 "Too Many Requests"error, which indicates that the rate limit has been exceeded.

The solution needs to reduce unnecessary or redundant API requests to prevent hitting the API limits.

Why Option B is Correct:

Avoid Redundant Requests:

PlacingSearchandGETmodules earlier in the scenario ensures that all required data is retrieved in one batch or in fewer requests, rather than repeatedly querying the same record later in the scenario.

This technique reduces the overall number of API requests sent to the third-party system.

Efficient Data Flow:

By structuring the scenario to retrieve all necessary data at the beginning, subsequent modules can reuse the retrieved data instead of making additional API calls.

Why the Other Options are Incorrect:

Option A ("Using a Search module and then a Read Record module"):

This approach can increase API requests, as theSearch moduleretrieves record IDs, and theRead Record modulemakes separate API requests for each record. This often results in more requests than necessary.

Option C ("Adding a Retry error handling directive"):

Adding aRetry directivedoes not reduce the number of requests. Instead, it retries failed requests, which could worsen the problem by increasing API traffic.

Best Practices to Reduce API Requests:

Consolidate data retrieval into a single module or a smaller number of requests.

Use caching or intermediate storage (like Fusion Data Stores) to avoid re-fetching the same data.

Limit the scope of Search modules by using filters or pagination to process smaller, relevant data sets.

References and Supporting Documentation:

Adobe Workfront Fusion Best Practices: Managing API Rate Limits

Workfront Community: Error 429 Solutions

Understanding the Expression:

The provided expression uses the ifempty function:

ifempty(2.data:types[]; "No Type")

Structure of the Expression:

The first parameter, 2.data:types[], is an array being checked for content.

The second parameter, "No Type", is the fallback value returned if the array is empty or undefined.

Purpose of ifempty: This function checks if the given value is empty or undefined. If the value is not empty, it returns the value. If the value is empty, it returns the fallback text ("No Type").

Expected Module Outputs:

A. Non-empty array:

If 2.data:types[] is a non-empty array, the function returns the array as-is.

C. Text value 'No Type':

If 2.data:types[] is empty or undefined, the function returns the fallback text value "No Type".

Why the Other Options are Incorrect:

Option B ("An empty field"):

The ifempty function does not return an empty field. If the value is empty, it substitutes it with the fallback text ("No Type").

Option D ("Collections comma separated"):

The function operates on arrays, but it does not format the output as comma-separated collections. The raw array is returned if non-empty.

Key Use Cases:

This type of function is frequently used in Workfront Fusion to handle situations where data might be missing or incomplete, ensuring scenarios continue to run smoothly without errors caused by undefined or empty fields.

Example Outputs:

If 2.data:types[] = ["Type1", "Type2"]: The function returns ["Type1", "Type2"].

If 2.data:types[] = [] or undefined: The function returns "No Type".

References and Supporting Documentation:

Adobe Workfront Fusion Functions Reference

Workfront Community: Handling Empty Fields with ifempty

A. Expected Outcome of Test

A test case must clearly state what the expected outcome is, providing a standard against which the results can be measured.

This ensures testers can validate whether the scenario behaves as intended.

C. Clear Procedure for Completing the Test

A well-defined procedure outlines the exact steps required to execute the test, ensuring consistent and repeatable testing.

This reduces ambiguity and helps identify whether errors are due to the scenario configuration or improper test execution.

Why Not Other Options?

B. Name of Test Owner: While helpful for accountability, the name of the test owner is not a required component of the test case itself.

D. Source Code Being Tested: Fusion scenarios do not typically involve source code. Instead, the focus is on workflow execution and configuration, making this element irrelevant.

References:

Workfront Training Materials: Test Case Design Best Practices

Adobe Workfront Fusion Documentation: Testing and Debugging Scenarios

Understanding HTTP Response Codes:HTTP response codes are standardized codes that indicate the result of a request made to a server:

2xx (Success): Indicates that the request was successfully received, understood, and processed by the server.

200 OK: Specifically means that the request was successful, and the response contains the requested data or confirms the operation's success.

Response Code for Creating a Record:

When using an HTTP module in Fusion to create a new record, a response code of200confirms that the request to the server was successfully processed and the record creation was successful.

Why Not Other Options?

A. GREEN: This is not a valid HTTP response code. It might represent a status in some systems but is unrelated to HTTP standards.

C. 402: This code indicates a payment required error, meaning the request cannot be fulfilled until payment is made.

D. 500: This is a server-side error, indicating that something went wrong on the server during processing.

References:

HTTP Status Code Documentation: 200 Success Response

Adobe Workfront Fusion Documentation: HTTP Module and Response Codes

Step by Step Comprehensive Detailed Explanation:

Understanding the Requirement:

The user needs to archive the last five versions of a scenario for one year.

Archiving ensures there is a record of previous versions in case rollback or review is needed.

Option Analysis:

A. Save the scenario frequently:

Incorrect. While frequent saving ensures changes are not lost, it does not provide an archival mechanism for version history.

B. Download the scenario blueprints:

Correct. Downloading blueprints of the scenario allows the user to store version snapshots externally. Blueprints include the complete design and settings of the scenario, making them ideal for archival purposes.

C. Clone the scenario anytime the design changes:

Incorrect. Cloning creates duplicates of the scenario but does not inherently manage or track version history for archival purposes.

D. Find previous versions using the History tab:

Incorrect. The History tab only shows recent edits and logs but does not provide a long-term archiving solution.

Why Downloading Blueprints is Best:

External Storage: Blueprints can be downloaded and stored securely for long-term use.

Restoration: A saved blueprint can be re-imported into Fusion to restore a scenario exactly as it was.

Version Control: Allows the user to manually manage and organize multiple scenario versions over time.

Implementation Steps:

Go to the scenario in Workfront Fusion.

Use theDownload Blueprintoption to save a copy of the scenario.

Label and organize the blueprints by version and date for easy retrieval later.

Understanding the Scenario:

The image represents a Workfront Fusion scenario with a Workfront module, HTTP modules, and routers splitting the execution path.

The goal is to reuse multiple fields from the Workfront module (e.g., data extracted or processed earlier in the flow) as mapped expressions in HTTP PUT requests located in the bottom paths.

Why Option A is Correct:

Set Multiple Variables Module: This module allows you to define and store multiple variables at a single point in the scenario (e.g., after the Workfront module). These variables can then be reused throughout subsequent steps in the scenario.

Get Multiple Variables Module: By placing this module between the Text Parser and the bottom Router, you can retrieve all previously stored variables, ensuring consistent access across all branches of the flow. This avoids redundancy and ensures the data is easily accessible for each HTTP request in the bottom paths.

Why the Other Options are Incorrect:

Option B ("Set Multiple Variables after Workfront, Get Variables before each HTTP module"): This is partially correct but less efficient. Adding multiple Get Variable modules before each HTTP request results in repetitive configuration and increases maintenance complexity.

Option C ("Set Variable and Get Variable for each HTTP module"): Using individual Set and Get Variable modules increases duplication. This approach requires separate variables for each data point, which is inefficient compared to using the Set/Get Multiple Variables module for multiple fields at once.

Steps to Configure the Solution:

After the Workfront module:

Add aSet Multiple Variablesmodule.

Define all the fields required for the HTTP PUT requests as variables, mapping them from the Workfront module outputs.

Between the Text Parser and the bottom Router:

Add aGet Multiple Variablesmodule.

Retrieve the previously stored variables, ensuring they are accessible for all paths.

In the HTTP modules on each bottom path:

Use the retrieved variables for mapping in the PUT requests.

How This Solves the Problem:

This approach centralizes variable management, making it easier to access and modify data as needed.

It avoids redundancy, as variables are defined once and reused across all paths, reducing the risk of errors and ensuring consistency.

References and Supporting Documentation:

Adobe Workfront Fusion: Variables Module Overview

Workfront Community: Efficient Use of Variables in Fusion

Understanding the Requirement:

The user wants to enableresource sharingin Fusion, includingconnections,data stores, andkeys.

Resource sharing is necessary to allow multiple scenarios or users to access shared resources efficiently within the same Fusion environment.

Why Option B ("Create a new team") is Correct:

Teams in Fusion:

Teams are a feature in Adobe Workfront Fusion designed to group users together within an organization.

By creating ateam, you can enableshared accessto resources such as API connections, data stores, and authentication keys, streamlining collaboration and avoiding duplication.

Resource Sharing with Teams:

All members of the team can access shared resources (e.g., connections), allowing consistent and collaborative scenario development and execution.

Example: If multiple users within a team need to use the same API connection, creating a team allows the connection to be configured once and shared among all team members.

Why the Other Options are Incorrect:

Option A ("Create a new group"):

Groups in Fusion are used primarily for organizing scenarios or categorizing users but do not inherently allow sharing of resources like connections or keys. Groups lack the resource-sharing functionality of teams.

Option C ("Create a new organization"):

Organizations in Fusion represent the highest-level administrative entity. While creating an organization allows resource sharing among all users within the organization, it is not the recommended solution for managing resource sharing in smaller or more focused groups, such as project teams.

Steps to Create a New Team and Share Resources:

Log in to Adobe Workfront Fusion.

Navigate to theAdmin PanelorTeam Managementsection.

SelectCreate a New Teamand provide a name for the team.

Assign users to the team by adding their Fusion accounts.

Configure shared resources (e.g., connections, data stores, keys) to be accessible by the team.

Save the settings, and all team members will now have access to the shared resources.

How This Solves the Problem:

Creating a team ensures that all resources, such as connections, data stores, and keys, are accessible to team members without requiring individual duplication or configuration. It simplifies collaboration and promotes consistency across scenarios.

References and Supporting Documentation:

Adobe Workfront Fusion: Teams Overview

Workfront Community: Managing Teams and Resource Sharing

Step 1: Query Workfront for User Based on Email Address

Salesforce provides the email address of the user. Since Workfront uses user IDs for task assignments, the email address can be used as a unique identifier to query Workfront’s database.

A query module in Workfront Fusion retrieves the corresponding Workfront user ID using the provided email address.

Step 2: Assign Task Using Returned ID

After retrieving the Workfront user ID, use it in the assignment field of the task module in Fusion.

The task assignment process requires a valid user ID, ensuring proper linkage and assignment within Workfront.

Why Not Other Options?

A. Assign the task using the provided user ID > add the user ID to the assignment field: The Salesforce user ID is not recognized by Workfront. It is necessary to query Workfront to convert the email into a Workfront-compatible user ID.

C. Query Workfront based on the user's name > assign task using returned email address: Workfront uses user IDs, not email addresses, for task assignments. Names are also not unique and could cause assignment errors.

References:

Adobe Workfront Fusion Documentation: Task Assignments Using User IDs

Experience League Community: Mapping Salesforce Data to Workfront Tasks

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.