AD0-E902 Adobe Workfront Fusion Professional Questions and Answers

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

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 indicates29 bundlesof project data were retrieved.

Each bundle contains fields such asID,name, andplannedCompletionDate.

Tools Module (Second Module):

The data from the Workfront module is processed to set variables likeProject NameandProject 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 theWorkfront moduleretrieved 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 theinput and output fields in the Tools moduleare 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.

References 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.

Understanding the Requirement:

The query returns only a partial list of possible values.

The task is to ensure that all results are processed by iterating through multiple queries or pages of data.

Why Option B ("Repeater") is Correct:

TheRepeatermodule is designed to repeat an operation a specified number of times or until a condition is met.

It is commonly used for querying paginated data or when a system limits the number of records returned in a single request.

In this case, the Repeater ensures all possible values are queried by making additional requests to retrieve subsequent pages or results.

Why the Other Options are Incorrect:

Option A ("Aggregator"):

The Aggregator combines multiple data bundles into a single output. It does not handle iterative queries or pagination.

Option C ("Iterator"):

The Iterator splits an array into individual items for processing. It does not handle querying for additional data or looping through requests.

Option D ("Router"):

The Router splits the flow of a scenario into multiple paths based on conditions. It is unrelated to iterative querying.

Steps to Configure the Repeater:

Add theRepeatermodule to your scenario.

Configure the number of repetitions or the condition to continue querying (e.g., based on the presence of additional data).

Link the Repeater to the module responsible for retrieving the data, ensuring it processes all available results.

How This Solves the Problem:

The Repeater module ensures that all possible results are queried by iteratively sending requests until no more data is available.

References and Supporting Documentation:

Adobe Workfront Fusion: Repeater Module Documentation

Workfront Community: Using Flow Control Modules

Understanding the Date Transformation:

Input:March 3, 2021, 10:34 AM

Output:March 1, 2021, 10:34 AM

The transformation subtracts2 daysfrom the input date without altering the time.

Why Option A is Correct:

subDays(now,2) subtracts exactly 2 days from the given date and time.

It preserves the time component of the input (10:34 AM) while shifting the date backward by 2 days, which matches the given output.

Why the Other Options are Incorrect:

Option B ("addHours(now; -48)"): While subtracting 48 hours also results in a 2-day difference, this approach directly modifies the time. The resulting time could shift if the operation crosses daylight saving changes or edge cases with leap seconds. It is less reliable compared to subDays.

Option C ("addDays(today; -4)"): This would subtract 4 days, which does not match the transformation shown in the example.

References and Supporting Documentation:

Adobe Workfront Fusion: Date and Time Functions

Workfront Community: Using Date and Time Expressions

Object ID in CRUD Operations:REST APIs commonly use CRUD operations to interact with resources. TheObject IDserves as a unique identifier for the resource and is generally required for the following actions:

A. Update:

To update a specific resource, the API must know which resource to modify. The Object ID is used to identify the exact resource that should be updated.

Example: A PUT or PATCH request typically requires the Object ID in the URL or body of the request.

URL Example:

PUT /tasks/{id}

B. Delete:

Similarly, when deleting a specific resource, the Object ID is needed to ensure the correct resource is removed.

Example: A DELETE request requires the Object ID in the URL to target the specific resource.

URL Example:

DELETE /tasks/{id}

Why Not Other Options?

C. Respond: This is not a standard CRUD operation in REST APIs and does not involve an Object ID.

D. Create: The Create operation (typically POST) does not require an Object ID because the resource does not yet exist. Instead, the API usually generates the Object ID after creation.

References:

REST API Documentation Best Practices: CRUD Operations

Experience League: Understanding CRUD in Workfront APIs

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 Question:

The scenario must begin as soon as a project update occurs in Adobe Workfront.

The correct Workfront module should continuously monitor for specific changes (in this case, project updates) and trigger the scenario immediately.

Why Option A ("Watch Events") is Correct:

Watch Events Module: This module in Adobe Workfront Fusion is specifically designed to monitor events, such as updates to projects, tasks, or issues, and trigger scenarios as soon as those events occur.

Real-Time Triggering: The "Watch Events" module listens to the Workfront event stream and ensures the scenario starts immediately upon detecting relevant updates.

Example Use Case: Monitoring updates to a project’s status, such as changes in "Completion" or "Progress," to trigger notifications or integrations with other systems.

Why the Other Options are Incorrect:

Option B ("Watch Record"): This module monitors specific Workfront records (e.g., projects, tasks, issues) for new additions or modifications, but it does not initiate scenarios immediately when updates occur. It works better for periodic checks rather than real-time events.

Option C ("Watch Field"): This module monitors changes to specific fields within a Workfront object, but it is not designed for broader event monitoring like project updates. It is more suited for field-specific tracking.

Option D ("Search"): This module performs queries to find specific data in Workfront (e.g., searching for projects based on criteria), but it is not an event-driven module and does not automatically trigger scenarios.

Steps to Configure the Watch Events Module in Workfront Fusion:

In the Fusion scenario editor, add theWatch Eventsmodule as the first step in your scenario.

Configure the module:

Select Workfront Connection: Choose the authorized Workfront account.

Event Object: Specify the object type (e.g., Project, Task, Issue) to monitor.

Event Type: Select the type of event to watch, such as "Update" or "Change."

Save and activate the scenario.

How This Solves the Problem:

Using the Watch Events module ensures the scenario is event-driven and starts automatically when the desired project update occurs. This approach is both efficient and timely, meeting the requirement for immediate initiation.

References and Supporting Documentation:

Adobe Workfront Fusion Official Documentation: Watch Events Module

Workfront Community Forum: Use Cases for Watch Events

Understanding the Issue:

TheWatch Eventsmodule is generating a high number of bundles because it monitors a broad range of project updates in Workfront, resulting in an overwhelming amount of data passing through the scenario.

The goal is to reduce the number of bundles by narrowing the scope of monitored events.

Why Option C is Correct:

Switching to Watch Record:

TheWatch Recordmodule allows users to monitor specific records (e.g., projects, tasks) with additional filtering options in thecriteriaorfilter box.

By applying filters, the module can focus only on relevant updates, significantly reducing the number of bundles being processed.

Example: Filtering for specific project statuses, update types, or assigned users ensures that only relevant changes are captured.

Why the Other Options are Incorrect:

Option A ("Reducing the maximum number of returned events on the trigger"):

This limits the number of bundles processed per cycle but does not address the root cause, which is the broad monitoring scope of theWatch Eventsmodule.

Option B ("Reducing the maximum number of cycles in scenario settings"):

The number of cycles determines how many iterations the scenario performs in one run but does not reduce the number of bundles entering the scenario.

Steps to Use the Watch Record Module:

Replace theWatch Eventsmodule withWatch Record.

Specify the record type to monitor (e.g., Project).

Use the optional filter box to apply criteria, such as specific project fields, statuses, or other conditions.

Activate the scenario to test the refined data flow.

References and Supporting Documentation:

Adobe Workfront Fusion: Watch Record Module

Workfront Community: Managing High Bundle Volumes in Fusion

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 Role of Fusion Templates:

Fusion templates are prebuilt scenario structures designed to help users set up automations efficiently by reusing common workflows.

They are flexible and can be customized based on the organization’s requirements.

Why Option C is Correct:

Swap Connections:

Fusion templates allow users to replace connections (e.g., API connections, authentication tokens) to adapt the scenario for different teams, departments, or environments.

This makes templates versatile for reuse in scenarios where the logic remains the same, but the data sources or destinations differ.

Why the Other Options are Incorrect:

Option A ("Fusion templates are publicly shared scenarios for enterprise-level customers"):

Fusion templates are not public. They are created by users or Workfront admins for internal use within organizations.

Option B ("Fusion templates are only created and shared by Workfront"):

While Workfront provides some default templates, users can also create custom templates tailored to their needs.

Option D ("Fusion templates help customers build Workfront automations using simple walk-through guides"):

Fusion templates do not include walkthrough guides. They are structural frameworks for scenarios that users can modify or replicate.

How Fusion Templates Help:

Simplify repetitive workflows: Users don’t need to recreate scenarios from scratch.

Enable scalability: Templates can be shared across teams for consistent processes.

Save time: By swapping connections, the same scenario logic can be used for different use cases.

References and Supporting Documentation:

Adobe Workfront Fusion Templates Documentation

Workfront Community: Best Practices for Fusion Templates

Fusion templates enable efficient automation setup by supporting reusable workflows with adaptable connections, making them a powerful tool for scaling team-level automation.

Understanding the Requirement:

The user needs to view the exactAPI requestand the correspondingresponsea module executes in Adobe Workfront Fusion.

This is critical for debugging, troubleshooting, or validating API operations within scenarios.

Why Option B is Correct:

Execution History:

Theexecution historylogs detailed information about every module that runs in a scenario.

It provides access to theAPI requestsent, including the headers, parameters, and body.

It also displays theAPI responsereceived, including HTTP status codes, returned data, and error messages (if applicable).

This feature is indispensable for debugging and verifying the behavior of modules.

Why the Other Options are Incorrect:

Option A ("Using the Bundle Inspector"):

The Bundle Inspector provides a view of processed data bundles but does not include API request/response details.

Option C ("Using the Fusion DevTool scenario debugger"):

Fusion does not have a specific "DevTool debugger." The execution history serves this purpose.

Option D ("Using the Fusion DevTool error evaluator"):

While error logs help evaluate issues, they do not directly show the API request/response unless an error occurs. Execution history is a more comprehensive source of this data.

Steps to View Execution History:

Run the scenario or inspect a previously executed scenario.

Navigate to theExecution Historytab for the scenario.

Select a specific module to view itsdetails.

Inspect theAPI request and response, which includes all relevant parameters and data.

References and Supporting Documentation:

Adobe Workfront Fusion Documentation: Execution History

Workfront Community: Debugging with Execution History

In this scenario, the error consistently arises due to the unavailability of a third-party service during high traffic times. This is a temporary issue and does not indicate a problem with the data or process. The recommended approach in such cases is to configure the scenario to retry failed executions:

Update Scenario Settings:

In Workfront Fusion, you can configure scenarios to automatically retry a failed execution.

This option ensures that temporary issues, like service unavailability, are retried after a delay, reducing the chances of the scenario being stopped permanently.

This is particularly useful when dealing with network traffic spikes or third-party API throttling.

Why Not Other Options?

B. Update the Module settings to automatically ignore failed executions: Ignoring failed executions would cause incomplete or incorrect data to flow through the scenario, leading to potential downstream issues.

C. Add an error handler to the Module and select a Break directive: While error handlers are useful, the Break directive stops the scenario from processing further, which is not ideal for a temporary issue.

D. Add an additional route after the failing module with a repeater: Adding a repeater increases complexity and is unnecessary when the retry option is already available in scenario settings.

References:

Adobe Workfront Fusion Documentation: Scenario Settings and Error Handling

Experience League Community: Handling API Rate Limits and Errors in Workfront Fusion