AD0-E902 Adobe Workfront Fusion Professional Questions and Answers

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 the Scenario:

The issue involves end users inputting inconsistent date and currency formats that result in errors in a Workfront Fusion scenario.

The default behavior of Fusion stops the scenario after three retries due to input mismatches or invalid formats.

Why Option A is Correct:

Storing Incomplete Executions: In Adobe Workfront Fusion, enabling "Store incomplete executions" in the scenario settings allows administrators to capture incomplete runs without fully stopping the entire process. This feature stores all relevant data, even from incomplete runs, allowing administrators to identify and correct input issues manually.

Error Troubleshooting: By reviewing incomplete executions, admins can pinpoint where the scenario failed, resolve the issue, and potentially reprocess those incomplete records, preventing complete scenario stoppage.

Why Option B is Incorrect:

The "switch module" can handle specific input variations, but it is not a comprehensive solution for handling unexpected or inconsistent formats entered by end users. While it might mitigate some errors, it does not address the root cause and can miss unanticipated input patterns.

Why Option C is Incorrect:

Setting up an error handling path to notify users and request corrections adds an additional manual step for users but does not resolve the problem efficiently within Fusion. Moreover, this solution does not prevent the scenario from halting after retries.

Steps to Enable Storing Incomplete Executions:

Navigate to the scenario in Adobe Workfront Fusion.

Open theScenario Settingsby clicking the gear icon.

Enable the optionStore Incomplete Executionsunder Execution settings.

Save the settings and activate the scenario.

How This Solves the Problem:

Enabling this setting ensures that no data is lost when the scenario fails due to inconsistent inputs. Admins can access the incomplete executions through the scenario execution history, apply necessary corrections, and retry specific records or steps as needed.

References and Supporting Documentation:

Adobe Workfront Fusion Official Documentation: Scenario Settings

Workfront Community: Handling Incomplete Executions

When dealing with intermittent errors, such as "service is not reachable," the default error handling in Adobe Workfront Fusion is often sufficient to improve execution success rates.

Default Error Handling:

Fusion automatically retries operations when transient errors, such as network or connection issues, occur.

By leveraging this built-in functionality, the system will attempt to re-execute the failing module after a brief delay, which is often enough for the external service to become reachable again.

Why Not Other Options?

A. Adding an error handler that will notify the system owner: While notifying the owner can be useful for monitoring purposes, it does not directly address improving the success rate of executions.

C. Adding a Break directive to the module: Adding a Break directive will stop the execution entirely, which is counterproductive in this case, as the service typically becomes reachable again after a short time.

References:

Adobe Workfront Fusion Documentation: Default Error Handling Mechanisms

Experience League Community: Managing Intermittent API Errors 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

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 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 theorganization levelensures 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 theOrganization Settings:

Go to theAdmin Panelor the organization settings section.

Locate theTime Zonesetting.

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.

References and Supporting Documentation:

Adobe Workfront Fusion Official Documentation: Organization Settings

Workfront Community: Best Practices for Time Zone Configuration

Step by Step Comprehensive Detailed Explanation:

Understanding the Scenario:

In Workfront Fusion, each module in a scenario processes data and generates bundles as output.

The bundle inspector shows the number of bundles (data packets) output by a module during an execution.

Option Analysis:

A. The number of seconds to process the module:

This is incorrect. The number in the bundle inspector does not indicate time but rather the count of output bundles. Processing time is not displayed in this way.

B. The number of output bundles:

Correct. The number displayed in the bundle inspector represents how many bundles the module output during the execution. In the given example, the "Tasks" module outputs1 bundle, and the "Project" module outputs23 bundles.

C. The number of operations performed:

This is incorrect. The bundle inspector displays the number of output bundles, not operations. While operations may be a result of processing bundles, they are tracked separately in Fusion reports.

D. The number of times a module has been edited:

This is incorrect. Editing history is not displayed in the bundle inspector.

Explanation of Bundle Inspector:

Each module processes input data and generates output bundles.

These numbers in the bundle inspector indicate how many bundles the module is outputting in the current run of the scenario.

For example, if a "Search" module retrieves 23 records, the bundle inspector will show 23, meaning the module outputs 23 bundles.

Context of the Given Image:

The "Tasks" module processes and outputs 1 bundle.

The "Project" module processes 1 input bundle (from "Tasks") and outputs 23 bundles.

References:This information is consistent with Workfront Fusion documentation, which explains the bundle inspector's function during scenario execution. The bundle inspector is used to monitor data processing and ensure expected outputs from modules.

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 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

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 Image and Context:

The image provided represents anHTTP modulein Workfront Fusion with a URL that dynamically references various data points (e.g., parameterID, customer.domain, emailAddr).

The structure of the URL indicates a call to the Workfront API (/api/v1.0/), using parameters to pass dynamic data such as parameterID, username, and password.

Why Option A ("Custom API Call") is Correct:

The HTTP module shown in the image is acustom API callbecause it interacts with Workfront's API endpoints by passing dynamic parameters through the URL.

Custom API Callmodules allow users to manually configure requests to endpoints in cases where no predefined Workfront Fusion module exists for the operation. This is evident in the example, where specific fields like parameterID, customer.domain, and others are manually mapped to the API URL.

Example Use Case: Dynamically creating custom form field options by sending a POST/PUT request to the Workfront API with specific parameters (like label and value) for each environment.

Why the Other Options are Incorrect:

Option B ("Misc Action"): This refers to predefined actions in Workfront Fusion for handling simple tasks. The HTTP module is not categorized under Misc Actions as it involves direct API interaction.

Option C ("Read Related Records"): This module is used to fetch data related to Workfront objects (e.g., related tasks or documents). It doesn’t allow dynamic parameter passing or URL customization as seen here.

Option D ("Search"): The Search module is used for querying Workfront objects based on specific criteria but does not involve making direct API calls or sending HTTP requests with custom parameters.

Steps to Configure a Custom API Call in Workfront Fusion:

Add theHTTP Moduleto your scenario.

Select the appropriate HTTP method (e.g., GET, POST, PUT). In this case, aPOSTorPUTmethod would be used to create or update custom form fields.

Enter the API endpoint in theURLfield, as shown in the image.

Map dynamic values to the parameters by referencing fields from previous modules in the scenario. For instance:

customer.domain: Extracted from prior steps.

parameterID, label, and value: Dynamically passed based on input data.

Authenticate the request using a username and password or an API token.

Test the module to ensure the API call works as expected.

How This Solves the Problem:

By using a Custom API Call (via the HTTP module), the user can dynamically interact with the Workfront API to create or modify custom form field options across multiple customer environments, passing the required parameters programmatically.

References and Supporting Documentation:

Adobe Workfront Fusion HTTP Module Documentation

Workfront API Documentation

Workfront Fusion Community Forum: Using HTTP Module for API Calls

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