Free and Premium Adobe AD0-E902 Dumps Questions Answers

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

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.

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

Step by Step Comprehensive Detailed Explanation:

Understanding the Problem:

The scenario is triggered by a project status update.

After the scenario runs, it updates the project status again, which re-triggers the scenario, creating aloop.

The goal is to prevent the scenario from re-triggering itself.

Option Analysis:

A. When using instant triggers, finish the scenario with the Break directive to prevent the record from being updated again:

Incorrect. The Break directive is not used to prevent updates; it is used to stop further iterations of a scenario. It does not address the root cause of the loop, which is the re-triggering by updated records.

B. Create a filter after the instant trigger that only passes records that have not been updated by Fusion:

Correct. Adding a filter ensures that only records not recently updated by Fusion are processed. This prevents Fusion from re-triggering itself on the same record.

For example, you could use a condition to check if the Last Updated By field does not equal the Fusion user or if the Last Update Date is older than a certain threshold.

C. Schedule the instant trigger to only run at intervals to prevent Fusion from thinking the record has been updated after each run:

Incorrect. Instant triggers are event-driven, and their purpose is to respond to changes immediately. Scheduling them would negate the benefit of instant triggers and does not solve the root problem.

Why Filtering Records is Best:

Targeted Control: A filter after the trigger ensures only relevant updates (e.g., those not caused by Fusion) are processed.

Prevents Loops: By excluding records updated by Fusion, the scenario avoids re-triggering itself.

Maintains Performance: Filtering prevents unnecessary processing of irrelevant records, improving efficiency.

How to Implement:

After the instant trigger module, add a filter module.

Configure the filter to check the Last Updated By field or a custom flag indicating if the update was performed by Fusion.

Example: Last Updated By ≠ Fusion User or Update Flag ≠ True.

If a custom flag is used, ensure the flag is set when Fusion updates the record.

Alternative Solutions:

Add a custom field (e.g., "Updated by Fusion") that Fusion sets when it updates a record. This can also be used in the filter condition.

References:This approach aligns with Fusion best practices for preventing infinite loops caused by scenarios re-triggering themselves. Filtering ensures the scenario runs only when necessary, avoiding redundant processing and maintaining performance.

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:

sql

Copy

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)

References and Supporting Documentation:

Adobe Workfront Fusion Functions Documentation

Workfront Community: Handling Conditional Logic and Date Formatting

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

Step by Step Comprehensive Detailed Explanation:

Scenario Context:

The goal is to assign a user to all tasks on a project where the role is Copywriter.

The chosen method should minimize the number of operations to ensure efficiency.

Option Analysis:

A. Searching for all assignments in the project where the role is Copywriter and add the user to each assignment:

This approach involves searching assignments, iterating through them, and adding the user individually. Each iteration generates multiple operations, making it less efficient.

B. Searching for Tasks in the project with the Copywriter role and assign the user to each task:

Similar to Option A, this approach also requires iterating through tasks and assigning users one by one, resulting in a higher number of operations.

C. Using the Misc Action module for the project to assign all Copywriter assignments to the user:

Correct. The Misc Action module can perform bulk actions (e.g., assigning users to roles) in a single operation.

This method is the most efficient, as it minimizes the number of operations while achieving the same result.

Why the Misc Action Module is Best:

Efficiency: Bulk operations reduce the number of API calls and iterations.

Performance: Using fewer operations optimizes scenario execution and reduces resource consumption.

Simplicity: Avoids the complexity of iterating through tasks or assignments individually.

Implementation:

Add a Misc Action module to the scenario.

Configure the module to assign the user to all tasks with the Copywriter role on the selected project.

Test the module to ensure it performs the bulk assignment as expected.

Understanding the Issue:

The customer is syncing20,000+ Salesforce Opportunitieswith Workfront projects using a scheduled Fusion scenario.

After running for 40 minutes, the scenario unexpectedly stops.

Why Option C is Correct:

Workfront Fusion Execution Timeout:

Fusion scenarios have a default execution timeout of40 minutesper run.

If the scenario exceeds this time limit, Fusion automatically stops the execution to avoid resource overuse.

Handling Large Data Sets:

Scenarios involving large datasets (like syncing 20,000+ records) may require optimizations, such as breaking the data into smaller chunks using paginated requests or iterators.

In this case, the scenario stopped because the execution timeout was reached, not due to API limits or webhook restrictions.

Why the Other Options are Incorrect:

Option A ("Workfront API call limit"):

While Workfront does have API rate limits, they are generally generous and not the reason for the scenario stopping. Fusion scenarios are designed to manage API calls efficiently.

Option B ("Fusion times out if processing over 2000 records in 40 minutes"):

This is incorrect because Fusion does not have a hard limit on the number of records processed in 40 minutes. The timeout is time-based, not record-based.

Option D ("Workfront API stops webhooks after 2000 hits in 10 minutes"):

This does not apply to Fusion scenarios. Webhooks are separate from the API calls initiated by Fusion.

How to Resolve the Issue:

Split the Data: Use pagination or batch processing to divide the 20,000+ records into smaller chunks (e.g., 1,000 or 2,000 records per run).

Adjust Scheduling: Schedule the scenario to run more frequently with smaller batches, ensuring all records are synced over multiple runs.

Use Iterators: Add an Iterator module to loop through smaller subsets of data, preventing the scenario from exceeding the execution timeout.

Steps to Optimize the Scenario:

Add aSearch Moduleto retrieve opportunities in smaller batches (e.g., using limits or pagination parameters).

Use aRepeater Moduleto process each batch iteratively.

Save the scenario and schedule it to run nightly or more frequently, depending on the sync requirements.

References and Supporting Documentation:

Adobe Workfront Fusion: Execution Timeout Limits

Workfront Community: Managing Large Data Sets in Fusion Scenarios

By optimizing the scenario to handle smaller batches of data, the admin can avoid the execution timeout issue and ensure successful syncing of Salesforce Opportunities with Workfront projects.

Understanding the Requirement:

The user wants to test the first half of the scenario for consistency without executing the remaining modules.

This requires halting further execution after a specific point in the scenario.

Why Option D ("Break") is Correct:

TheBreakmodule is a flow control module in Adobe Workfront Fusion that stops the execution of all subsequent modules in the scenario.

It is specifically designed for scenarios where you want to terminate execution after testing or processing a portion of the flow.

Example Use Case: After ensuring the first set of modules processes data correctly, the Break module prevents the execution of later modules to avoid unintended actions or changes.

Why the Other Options are Incorrect:

Option A ("Router"):

The Router splits the execution flow into multiple branches but does not stop the execution of subsequent modules.

Option B ("Sleep"):

The Sleep module pauses execution for a specified time but does not disable subsequent modules permanently.

Option C ("Ignore"):

There is no "Ignore" module in Workfront Fusion.

Steps to Use the Break Module:

Insert theBreakmodule at the point where you want to stop execution.

Save and run the scenario to test the flow up to the Break module.

Once satisfied with the results, remove or bypass the Break module to continue testing or finalizing the full scenario.

How This Solves the Problem:

The Break module allows targeted testing of specific sections of the scenario while preventing unwanted execution of subsequent actions, making it a safe and efficient way to debug workflows.

References and Supporting Documentation:

Adobe Workfront Fusion Flow Control Modules Documentation

Workfront Community: Using the Break Module in Scenario Development

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

Step by Step Comprehensive Detailed Explanation:

Understanding the Error:

The error message [403] The caller does not have permission is aGoogle API permission error.

It typically indicates that the user or application does not have the required access rights to perform the requested action on the Google Slide presentation.

Option Analysis:

A. Reauthorize their Google connection:

This step might be necessary if the user's credentials or token have expired, but this is not the primary issue here since the error specifically states apermission problem.

B. Update Google sharing permissions for the document:

Correct. The error suggests that the Google Slide document has not been shared with the user or service account being used in Fusion. Updating the sharing settings to grant proper permissions (e.g., "Editor" or "Viewer" access) will resolve the issue.

C. Contact Workfront Support to troubleshoot the root cause:

While Workfront Support can help with Fusion-related issues, this error originates from Google and is unrelated to Workfront's systems.

D. Search the Google status site to determine the cause:

The Google status site is useful for identifying system-wide outages, but this is a user-specific permission issue, not a Google platform-wide problem.

Steps to Resolve:

Open the Google Slide presentation.

Update the sharing permissions:

Grant access to the Google account or service account being used in Fusion.

Ensure the account has at leastEditoror appropriate access rights.

Save the changes and rerun the Fusion scenario.

Why Updating Permissions is Best:

This action directly addresses the root cause of the error, which is inadequate access rights.

Once permissions are updated, Fusion will be able to connect to and manipulate the Google Slide document as intended.

References:The [403] The caller does not have permission error is documented in Google API troubleshooting guides, which recommend verifying and updating document sharing settings for resolving access issues.

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.

To determine if a task ID is valid in Workfront, you can use theSearch Recordmodule. This module allows you to search for records, such as tasks, within Workfront based on a given ID.

Search Record Module:

This module can be used to search for a specific task in Workfront by its task ID.

If the task ID is valid, it will return the task details; if the task ID is invalid, it will return an error or no results.

TheSearch Recordmodule is designed to check if a specific record exists in Workfront, making it ideal for verifying the validity of a task ID.

Why Not Other Options?

A. Read Record: This module reads a specific record by ID but does not search across multiple records. It may not provide the flexibility needed to check if a task ID is valid without knowing the exact task ID.

B. Read Related Record: This module is used to read a related record (e.g., reading the project related to a task). It is not suitable for validating a task ID directly.

References:

Adobe Workfront Fusion Documentation: Search Record Module Usage

Experience League Community: Verifying Record IDs in Workfront Fusion

Understanding the Requirement:

If a third-party system does not have a dedicated app connector in Workfront Fusion, users can still build an integration using Universal Connectors.

Universal Connectors in Fusion allow users to configure custom API calls, enabling communication with systems that lack pre-built integrations.

Steps to Build the Integration:

Determine the API Structure: Review the third-party system's API documentation to understand the available endpoints, data formats (e.g., JSON, XML), and request/response structure.

Identify Authentication Protocols: Determine how the third-party system handles authentication (e.g., API keys, OAuth 2.0, Basic Auth).

Configure the Universal Connector: Use modules likeHTTP RequestorWebhookto make API calls to the third-party system based on the documented structure.

Why Not Other Options?

B. Create a new connection to the third-party system in the connections area and then the Universal Connectors will be available for use: Creating a new connection in the connections area is only applicable for predefined connectors, not for Universal Connectors, which require manual configuration for unsupported systems.

C. Use the Workfront Custom API module to set up the connection using API calls to the third-party system: The Workfront Custom API module is specifically designed for Workfront’s own API, not for connecting to third-party systems.

References:

Adobe Workfront Fusion Documentation: Using Universal Connectors for Custom Integrations

Experience League Community: Integrating Third-Party Systems Using Workfront Fusion Universal Modules

Step-by-Step Explanation

Purpose of the Query:

The task is to retrievefield optionsfrom acustom form field. This operation involves fetching data, not creating or modifying it, which requires a GET method.

Correct API Structure:

The URL must follow Workfront's API structure:

ruby

Copy

OptionBfollows this standard structure, where:

wfdomain.workfront.com is the placeholder for the Workfront instance.

/attask/api/v12.0 specifies the API version.

/PARAM/search is the endpoint to search for parameters or fields.

Why Not Other Options?

A: The use of POST is incorrect because it is meant for creating or updating resources, not retrieving data. Additionally, the URL structure is incorrect and includes unnecessary query strings (username, password) not relevant for this operation.

C: While the method GET is correct, the URL (PARAM/search) is incomplete and lacks the required Workfront API structure, making it invalid.

References

Workfront API Documentation: Querying and Retrieving Custom Form Field Data

Experience League Community: Best Practices for Using GET Methods in Workfront API=========================