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Adobe Workfront Fusion Professional Sample Questions (Q26-Q31):

NEW QUESTION # 26
A Fusion designer needs to create a Fusion scenario that will assign a user to each task with the Copywriter job role on a project.
Which method results in the fewest number of operations?

A. Searching for all assignments in the project where the role is Copywriter and add the user to each assignment
B. Using the Misc Action module for the project to assign all Copywriter assignments to the user
C. Searching for Tasks in the project with the Copywriter role and assign the user to each task

Answer: B

Explanation:
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.

NEW QUESTION # 27
Given the array below, a user wants a comma-separated string of all stat names.

What is the correct expression?

Answer: B

Explanation:
* Understanding the Requirement:
* The input is an array containing objects, and the goal is to extract all the stat.name values into a comma-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.

NEW QUESTION # 28
Given this Fusion scenario, a user needs to access multiple fields from the Workfront module for mapped expressions in the HTTP PUT requests.

Which action should the user take?

A. Set Multiple Variables module after the Workfront module. Get Variable modules just before each HTTP module for the specific variables needed in each bottom path.
B. Set Multiple Variables module after the Workfront module. Get Multiple Variables between the Text Parser and the bottom Router.
C. Set Variable module after the Workfront module. Get Variable modules just before each HTTP module in the bottom paths.

Answer: B

Explanation:
* 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

NEW QUESTION # 29
A customer wants all their Salesforce Opportunities to sync with their connected projects in Workfront - approximately 20,000+ projects.
After the admin sets a Workfront Fusion scenario to run each night and perform this action, the scenario is run once to test. After 40 minutes, it unexpectedly stops running.
Why did this occur?

A. Workfront Fusion has an execution timeout and likely stopped the scenario from running
B. The Workfront API stops integration webhooks if they are hit more than 2000 times in a 10 minute period
C. Workfront Fusion occasionally times out if trying to process over 2000 records within a 40-minute period
D. Workfront has a limit to the number of API calls it can receive and stopped the scenario from running

Answer: A

Explanation:
* 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.

NEW QUESTION # 30
A Fusion designer is unhappy with the high number of bundles passing through an instant Watch Events module that monitors Workfront project updates.
Which action reduces the number of bundles passing through the module?

A. Reducing the maximum number of cycles in scenario setting
B. Changing the module type to Watch Record and applying criteria in the optional filter box
C. Reducing the maximum number of returned events on the trigger

Answer: B

Explanation:
* 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

NEW QUESTION # 31
......

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AD0-E902 EXAM GUIDE - AD0-E902 STUDY TOOLS & AD0-E902 EXAM TORRENT

AD0-E902 Exam Guide - AD0-E902 Study Tools & AD0-E902 Exam Torrent