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Adobe Workfront Fusion Professional Sample Questions (Q39-Q44):

NEW QUESTION # 39
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 Multiple Variables between the Text Parser and the bottom Router.
B. 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.
C. Set Variable module after the Workfront module. Get Variable modules just before each HTTP module in the bottom paths.

Answer: A

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 # 40
A CSV export from another system provides columns of information about Purchase Orders. The graphic below includes information from each column and an example of data from one row:
The customer wants this information in the title of their Workfront projects in the following order:
1.PO#
2. Name
3. PO Fulfillment Date
4. If a discount was given, include the Discount% and the Approver's Last Name.
Ex. 2837 - Compendium-Premium Running Shoes - 21 /02/16 -15% Discount - UserLast Which expression below represents the project name that the customer wants?

Answer: C

Explanation:
* 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

NEW QUESTION # 41
A series of queries return several JSON packets that include a combination of nested arrays representing objects and their fields.
How should that information be arranged if each object needs to be processed through a portion of the scenario?

A. Define the data structure > then run the Iterator to Parse each JSON packet
B. Merge the JSON > Parse the JSON > then use the Iterator
C. Define the data structure > Parse the JSON > then process arrays in the Iterator
D. Concatenate the JSON > Define the data structures > Parse the JSON > then run the Iterator

Answer: C

Explanation:
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.

NEW QUESTION # 42
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 returned events on the trigger
B. Changing the module type to Watch Record and applying criteria in the optional filter box
C. Reducing the maximum number of cycles in scenario setting

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 # 43
A query returns a partial list of possible values.
Which flow control module should be used to ensure all the possible results are queried?

A. Repeater
B. Router
C. Iterator
D. Aggregator

Answer: A

Explanation:
* 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

NEW QUESTION # 44
......

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