AD0-E902 Adobe Workfront Fusion Professional Questions and Answers

Understanding the Requirement:

The input is an array containing objects, and the goal is to extract all the stat.name values into acomma-separated string.

Example Input:

[

{

"base_stat": 48,

"effort": 1,

"stat": {

"name": "hp",

"url": "https://pokeapi.co/api/v2/stat/1/"

}

},

{

"base_stat": 48,

"effort": 0,

"stat": {

"name": "attack",

"url": "https://pokeapi.co/api/v2/stat/2/"

}

}

]

Example Output:"hp, attack"

Why Option B is Correct:

The expressionjoin(map(2.data: stats[]; stats.stat.name); ", "):

map: Iterates through each object in the array (2.data: stats[]) and extracts the stat.name field.

join: Combines the extracted values into a single string, separated by a comma and space (", ").

Breaking it down:

map(2.data: stats[]; stats.stat.name) → Creates an array of names: ["hp", "attack"].

join(...; ", ") → Converts the array into the string "hp, attack".

Why the Other Options are Incorrect:

Option A: join(2.data: stats[]; stat.name; ", ")

This syntax is incorrect because it attempts to directly access stat.name within the join function without first mapping the values.

Option C: join(map(2.data: stats[]; stat.name); ", ")

The mapping references stat.name directly but does not account for the nested structure (stats.stat.name).

Option D: join(flatten(2.data: stats[]); ", ")

The flatten function is unnecessary here as the data is already structured. It would not properly extract the stat.name values.

Steps to Implement in Workfront Fusion:

Add aMapping/Transformation Module.

Use the join(map(...)) function as described to transform the input array into a comma-separated string.

Test the output to ensure it correctly generates the desired format.

How This Solves the Problem:

The map function ensures the proper extraction of nested stat.name values.

The join function combines these values into the desired format efficiently.

References and Supporting Documentation:

Adobe Workfront Fusion Functions Documentation

Workfront Community: Using Map and Join Functions

The combination of map and join ensures that the stat names are extracted and formatted into a single comma-separated string, as required.

Step by Step Comprehensive Detailed Explanation:

Problem Summary:

The scenario has become too large due to the high number of modules.

The goal is to reduce the number of modules by optimizing how data is transformed.

Option Analysis:

A. Nesting multiple mapping panel functions:

Nesting multiple functions in the mapping panel (e.g., using if(), concat(), replace()) eliminates the need for separate modules to set and reset variables for each transformation.

This is a highly efficient technique to transform data in fewer modules, making it the correct answer.

B. Using a Compose a string module and Text Parser:

This involves additional modules (Compose a string + Text Parser) instead of reducing the number of modules. It is not an optimal solution to this problem.

C. Setting the scenario to Auto Commit:

The Auto Commit setting helps with transactional control and does not reduce the number of modules in a scenario.

Why Nesting Mapping Functions is Effective:

Efficiency: Complex transformations can be performed inline within a single mapping panel.

Readability: Proper nesting and naming conventions make it easier to understand the logic without adding unnecessary modules.

Scalability: This approach keeps the scenario compact and reduces complexity as the scenario grows.

How to Implement:

Open the mapping panel in relevant modules.

Use multiple nested functions like if(), concat(), add(), etc., within the mapping expressions.

Test the mapping thoroughly to ensure correctness.

In Adobe Workfront Fusion, error handling directives are used to manage and respond to errors during scenario execution. These directives allow the implementation of conditional or nested error handling mechanisms, ensuring workflows can adapt and recover from unexpected issues efficiently. Among the features and modules provided by Fusion:

Filters:

Filters are essential components in Workfront Fusion. They allow you to define specific conditions to control the flow of data between modules.

They enable conditional processing by allowing or restricting the passage of data based on defined criteria, which is fundamental for creating dynamic and conditional workflows.

When used with error handling, filters can evaluate whether certain data meets criteria to determine alternative pathways, thus enabling conditional error handling.

Routers:

Routers split the execution of a scenario into multiple branches based on specific conditions.

Each branch can be configured to handle different error types or conditions, allowing nested error handling and custom error recovery paths.

They are particularly useful when you need to define distinct responses for various error cases within a single scenario.

Eliminated Options:

A. Text Parser: While text parsers process and extract data from strings, they are not directly involved in error handling within scenarios.

C. Workfront App: The Workfront app is primarily for interacting with Workfront features and functionalities, not directly related to error handling within Fusion scenarios.

References:

Adobe Workfront Fusion Documentation: Error Handling Directives Overview

Adobe Workfront Community: Filters and Routers in Conditional Logic Workflows

Experience League Documentation:https://experienceleague.adobe.com

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

Step by Step Comprehensive Detailed Explanation:

Understanding the Problem:

Multiple JSON packets with nested arrays are being returned by queries.

The goal is to process each object within these JSON arrays through the scenario.

Option Analysis:

A. Define the data structure > then run the Iterator to Parse each JSON packet:

Incorrect. While defining a data structure is necessary, running the Iterator first would fail to process the JSON properly if it is not parsed.

B. Concatenate the JSON > Define the data structures > Parse the JSON > then run the Iterator:

Incorrect. Concatenation is unnecessary for this scenario since each JSON packet can be parsed and processed independently.

C. Define the data structure > Parse the JSON > then process arrays in the Iterator:

Correct. The correct approach involves defining a data structure to map the JSON, parsing it to extract the data into usable fields, and then using an Iterator module to process each object in the nested arrays.

D. Merge the JSON > Parse the JSON > then use the Iterator:

Incorrect. Merging JSON packets is not required unless you explicitly need to combine data from multiple packets into a single structure, which is not mentioned in this scenario.

Why This Workflow Works:

Defining the Data Structure: Helps Fusion understand and map the JSON fields for processing.

Parsing the JSON: Extracts the data into fields and arrays that can be further processed.

Using the Iterator: Breaks down the nested arrays into individual objects for sequential processing through the scenario.

Implementation Steps:

Use aDefine Data Structuremodule to define the JSON schema (fields, arrays, and objects).

Add aParse JSONmodule to convert raw JSON packets into mapped data fields.

Add anIteratormodule to process individual objects in the nested arrays.

Understanding the Array and the Task:

Input Array (Colors):

[

{ "ID": "22342", "name": "Red" },

{ "ID": "33495", "name": "Blue" }

]

Goal: Extract the first ID from the array, which is "22342".

Why Option B is Correct:

The expressionget(map(2.Colors; ID); 1):

map(2.Colors; ID): Iterates over the array 2.Colors and extracts the ID field from each object. This creates a new array containing just the IDs:["22342", "33495"].

get(...; 1): Retrieves the first element of the newly created array, which is "22342".

Why the Other Options are Incorrect:

Option A (map(2.Colors; ID; ID; 1)):

This syntax is invalid because the additional ID and 1 parameters are misplaced. The map function requires only two arguments: the array and the field to map.

Option C (map(get(2.Colors; ID); 1)):

This incorrectly attempts to use get inside map. The get function does not return a field for mapping, so the syntax is invalid.

How the Expression Works:

Step 1: map(2.Colors; ID)

Extracts the ID field from each object in the Colors array.

Output: ["22342", "33495"].

Step 2: get(...; 1)

Retrieves the first element of the mapped array.

Output: "22342".

Use Case in Workfront Fusion:

This approach is commonly used when processing arrays in Fusion scenarios, ensuring specific elements are accessed without additional looping or complex logic.

References and Supporting Documentation:

Adobe Workfront Fusion Functions Documentation

Workfront Community: Using Map and Get Functions

By combining map and get, this expression efficiently extracts the first ID from the array, ensuring correct and reliable results.

When encountering the error429: Too many requests, which indicates the web service is being overwhelmed by requests, the following actions can help:

A. Add a Sleep Module:

Adding aSleepmodule introduces a delay between iterations, reducing the frequency of API calls.

By slowing down the rate of requests, you avoid hitting the rate limits of the web service, thus reducing the chances of receiving a 429 error.

This approach is useful for managing high-volume iterations without overloading the external service.

C. Add a Module to Test the Service for Errors:

Adding a module to test the service's response before making a call can help prevent the 429 error by checking if the service is ready to handle requests.

This preemptive check allows the scenario to conditionally execute, ensuring that it doesn't overwhelm the service and respects the API rate limits.

Why Not Other Options?

B. Use an Ignore Directive: Ignoring errors can be risky because it would cause the scenario to ignore 429 errors, possibly leading to failed API calls that are not addressed. Ignoring an error doesn’t solve the issue of too many requests being sent to the service.

D. Use a Break Directive: TheBreakdirective would stop the execution, which is counterproductive when trying to resolve the issue by reducing the rate of requests. It would not address the root cause of too many requests.

References:

Adobe Workfront Fusion Documentation: Handling API Rate Limiting with Sleep and Error Handling

Experience League Community: Managing Web Service Errors in High-Volume Iterations

Understanding the Requirement:

The desired output format for the project name in ServiceNow is:Two-Digit Year - Reference Number - Project Name

This requires dynamically constructing a string by combining:

The current year in a two-digit format.

ThereferenceNumber(a variable or input).

Thename(a variable or input, likely the project name).

Why Option C is Correct:

The concat function combines multiple strings into a single string.

Expression:

concat(formatDate(now;YY), " - ", referenceNumber, " - ", name)

This ensures proper formatting with hyphens and spaces between the elements.

Breaking Down the Components:

formatDate(now;YY): Retrieves the current year in a two-digit format (e.g., "23" for 2023).

" - ": Adds the required separator.

referenceNumber: Dynamically adds the reference number.

name: Dynamically adds the project name.

Why the Other Options are Incorrect:

Option A ("formatDate(now;YY) - referenceNumber - name"):

This is not valid because it does not explicitly use a string concatenation function.

Option B ("join(formatDate(now;YY) - referenceNumber - name"):

The join function is used for concatenating elements of an array, not individual strings. Since the inputs are not in an array, this function will not work.

How This Solves the Problem:

The concat function correctly constructs the string with the desired format, dynamically generating the project name for ServiceNow based on the given inputs.

References and Supporting Documentation:

Adobe Workfront Fusion Functions Documentation

Workfront Community: Using the concat Function

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 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 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

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