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Adobe Workfront Fusion Professional Sample Questions (Q30-Q35):
NEW QUESTION # 30
Which statement about Workfront Fusion templates is accurate?
- A. Fusion templates are publicly shared scenarios that support the quick development of automations for Workfront enterprise-level customers
- B. Fusion templates help customers build Workfront automations for Workfront using simple walk- through guides
- C. Fusion templates allow a user to swap connections in commonly used scenarios to support multiple team automations
- D. Fusion templates are only created and shared by Workfront to help customers with common workflow automations
Answer: C
Explanation:
* Understanding the Role of Fusion Templates:
* Fusion templates are prebuilt scenario structures designed to help users set up automations efficiently by reusing common workflows.
* They are flexible and can be customized based on the organization's requirements.
* Why Option C is Correct:
* Swap Connections:
* Fusion templates allow users to replace connections (e.g., API connections, authentication tokens) to adapt the scenario for different teams, departments, or environments.
* This makes templates versatile for reuse in scenarios where the logic remains the same, but the data sources or destinations differ.
* Why the Other Options are Incorrect:
* Option A ("Fusion templates are publicly shared scenarios for enterprise-level customers"):
* Fusion templates are not public. They are created by users or Workfront admins for internal use within organizations.
* Option B ("Fusion templates are only created and shared by Workfront"):
* While Workfront provides some default templates, users can also create custom templates tailored to their needs.
* Option D ("Fusion templates help customers build Workfront automations using simple walk-through guides"):
* Fusion templates do not include walkthrough guides. They are structural frameworks for scenarios that users can modify or replicate.
* How Fusion Templates Help:
* Simplify repetitive workflows: Users don't need to recreate scenarios from scratch.
* Enable scalability: Templates can be shared across teams for consistent processes.
* Save time: By swapping connections, the same scenario logic can be used for different use cases.
References and Supporting Documentation:
* Adobe Workfront Fusion Templates Documentation
* Workfront Community: Best Practices for Fusion Templates
Fusion templates enable efficient automation setup by supporting reusable workflows with adaptable connections, making them a powerful tool for scaling team-level automation.
NEW QUESTION # 31
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. Concatenate the JSON > Define the data structures > Parse the JSON > then run the Iterator
- C. Define the data structure > Parse the JSON > then process arrays in the Iterator
- D. Merge the JSON > Parse the JSON > then use 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 # 32
A Fusion user needs to connect Workfront with a third-party system that does not have a dedicated app connector in Fusion.
What should the user do to build this integration?
- A. Determine the API structure and authentication protocols for the third-party system and then use the appropriate Universal Connector
- B. Use the Workfront Custom API module to set up the connection using API calls to the third-party system
- C. Create a new connection to the third-party system in the connections area and then the Universal Connectors will be available for use
Answer: A
Explanation:
* 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
NEW QUESTION # 33
A solution requested for a use case requires that the scenario is initiated with project updates.
Which Workfront app module will start the scenario immediately?
- A. Watch Events
- B. Search
- C. Watch Record
- D. Watch Field
Answer: A
Explanation:
* Understanding the Question:
* The scenario must begin as soon as a project update occurs in Adobe Workfront.
* The correct Workfront module should continuously monitor for specific changes (in this case, project updates) and trigger the scenario immediately.
* Why Option A ("Watch Events") is Correct:
* Watch Events Module: This module in Adobe Workfront Fusion is specifically designed to monitor events, such as updates to projects, tasks, or issues, and trigger scenarios as soon as those events occur.
* Real-Time Triggering: The "Watch Events" module listens to the Workfront event stream and ensures the scenario starts immediately upon detecting relevant updates.
* Example Use Case: Monitoring updates to a project's status, such as changes in "Completion" or
"Progress," to trigger notifications or integrations with other systems.
* Why the Other Options are Incorrect:
* Option B ("Watch Record"): This module monitors specific Workfront records (e.g., projects, tasks, issues) for new additions or modifications, but it does not initiate scenarios immediately when updates occur. It works better for periodic checks rather than real-time events.
* Option C ("Watch Field"): This module monitors changes to specific fields within a Workfront object, but it is not designed for broader event monitoring like project updates. It is more suited for field-specific tracking.
* Option D ("Search"): This module performs queries to find specific data in Workfront (e.g., searching for projects based on criteria), but it is not an event-driven module and does not automatically trigger scenarios.
* Steps to Configure the Watch Events Module in Workfront Fusion:
* In the Fusion scenario editor, add theWatch Eventsmodule as the first step in your scenario.
* Configure the module:
* Select Workfront Connection: Choose the authorized Workfront account.
* Event Object: Specify the object type (e.g., Project, Task, Issue) to monitor.
* Event Type: Select the type of event to watch, such as "Update" or "Change."
* Save and activate the scenario.
* How This Solves the Problem:
* Using the Watch Events module ensures the scenario is event-driven and starts automatically when the desired project update occurs. This approach is both efficient and timely, meeting the requirement for immediate initiation.
References and Supporting Documentation:
* Adobe Workfront Fusion Official Documentation: Watch Events Module
* Workfront Community Forum: Use Cases for Watch Events
NEW QUESTION # 34
What information can be understood from the images of this bundle inspector?
- A. The first module delivered 29 bundles of data to the second module. Data manipulations happened in the second module to change the project name and planned completion date
- B. The trigger module returned 1 bundle of project data with only the project ID, name, and planned completion date getting passed to the second module in the scenario
- C. The project name and planned completion date were changed in the trigger module because the input and output fields in the second module are the same
- D. The trigger module returned 29 bundles of task data with only the task ID. name, and planned completion date getting passed to the second module in the scenario
Answer: A
Explanation:
* 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 Nameand Project 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.
NEW QUESTION # 35
......
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