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Whatever your professional, working towards a Adobe Workfront Fusion Professional AD0-E902 certification or designation takes a significant amount of effort and time. Once you have put all your effort, and investment and prepared well then you will be in a position to pass the Adobe Workfront Fusion Professional AD0-E902 Certification Exam. But once you get success in the Adobe Workfront Fusion Professional AD0-E902 test you’ll be eligible to avail all the personal and professional benefits associated with Adobe Workfront Fusion Professional AD0-E902 certification.
Adobe Workfront Fusion Professional Sample Questions (Q10-Q15):
NEW QUESTION # 10
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. Use the Workfront Custom API module to set up the connection using API calls to the third-party system
- B. Create a new connection to the third-party system in the connections area and then the Universal Connectors will be available for use
- C. Determine the API structure and authentication protocols for the third-party system and then use the appropriate Universal Connector
Answer: C
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 # 11
Given the array below, a user wants a comma-separated string of all stat names.
What is the correct expression?
- A.
- B.
- C.
- D.
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 # 12
A global customer has end users who input date and currency data into fields in inconsistent formats. Despite continued training efforts, this continues to be an issue. Unfortunately, the third-party service that the end users are using does not support forcing a required field format. These input mistakes do not happen frequently, but they currently stop the scenario from executing after the default three retries.
In Fusion, which action can the admin take to ensure that errors are corrected after they occur in a scenario?
- A. Use the switch module to catch dates not in the required format and convert the common misused patterns into the appropriate format to prevent the scenario from stopping after three failed executions.
- B. Set up an error handling path that will catch errors in the end user's inputs and message the users in an email update that they need to try again.
- C. Select storing of Incomplete Executions in the scenario settings. The customer admin can then filter and search the execution history to resolve errors as they occur.
Answer: C
Explanation:
* Understanding the Scenario:
* The issue involves end users inputting inconsistent date and currency formats that result in errors in a Workfront Fusion scenario.
* The default behavior of Fusion stops the scenario after three retries due to input mismatches or invalid formats.
* Why Option A is Correct:
* Storing Incomplete Executions: In Adobe Workfront Fusion, enabling "Store incomplete executions" in the scenario settings allows administrators to capture incomplete runs without fully stopping the entire process. This feature stores all relevant data, even from incomplete runs, allowing administrators to identify and correct input issues manually.
* Error Troubleshooting: By reviewing incomplete executions, admins can pinpoint where the scenario failed, resolve the issue, and potentially reprocess those incomplete records, preventing complete scenario stoppage.
* Why Option B is Incorrect:
* The "switch module" can handle specific input variations, but it is not a comprehensive solution for handling unexpected or inconsistent formats entered by end users. While it might mitigate some errors, it does not address the root cause and can miss unanticipated input patterns.
* Why Option C is Incorrect:
* Setting up an error handling path to notify users and request corrections adds an additional manual step for users but does not resolve the problem efficiently within Fusion. Moreover, this solution does not prevent the scenario from halting after retries.
* Steps to Enable Storing Incomplete Executions:
* Navigate to the scenario in Adobe Workfront Fusion.
* Open theScenario Settingsby clicking the gear icon.
* Enable the optionStore Incomplete Executionsunder Execution settings.
* Save the settings and activate the scenario.
* How This Solves the Problem:
* Enabling this setting ensures that no data is lost when the scenario fails due to inconsistent inputs.
Admins can access the incomplete executions through the scenario execution history, apply necessary corrections, and retry specific records or steps as needed.
References and Supporting Documentation:
* Adobe Workfront Fusion Official Documentation: Scenario Settings
* Workfront Community: Handling Incomplete Executions
NEW QUESTION # 13
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. Using the Misc Action module for the project to assign all Copywriter assignments to the user
- B. Searching for Tasks in the project with the Copywriter role and assign the user to each task
- C. Searching for all assignments in the project where the role is Copywriter and add the user to each assignment
Answer: A
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 # 14
In a scenario, there are two aggregators displaying different numbers in the bundle inspector: Aggregator 1 displays a 1, and Aggregator 2 displays a 10. What is a possible reason for this difference?
- A. Aggregator 1's route is set to process the 1st bundle only, and Aggregator 2's route is set to process all bundles
- B. The source module for the aggregators are different
- C. The scenario's router is set to only allow projects through the route to Aggregator 1 and only allows tasks through the route to Aggregator 2
- D. Aggregator 2 displays a 10 in the bundle inspector because it is set to repeat 10 times
Answer: B
Explanation:
Step by Step Comprehensive Detailed Explanation:
* Understanding the Scenario:
* The diagram shows two routes, each leading to an aggregator module (Aggregator 1 and Aggregator 2).
* The bundle inspector indicates different output counts for the two aggregators: Aggregator 1 displays 1, and Aggregator 2 displays 10.
* Option Analysis:
* A. Aggregator 1's route is set to process the 1st bundle only, and Aggregator 2's route is set to process all bundles:
* Incorrect. Aggregators process data from their input modules based on their configuration.
While filters or limits might be applied earlier in the flow, the scenario does not suggest that the aggregator's configuration explicitly limits bundles in this way.
* B. The source module for the aggregators are different:
* Correct. The two aggregators receive input from different modules. For example, Aggregator 1 might aggregate bundles from "Projects," which outputs a single bundle, while Aggregator 2 aggregates bundles from "Issues," which outputs 10 bundles. This explains the differing numbers in the bundle inspector.
* C. Aggregator 2 displays a 10 in the bundle inspector because it is set to repeat 10 times:
* Incorrect. Aggregators do not "repeat" a specific number of times. Instead, they process the input bundles passed to them and output a result based on the aggregation logic.
* D. The scenario's router is set to only allow projects through the route to Aggregator 1 and only allows tasks through the route to Aggregator 2:
* Incorrect. While the router might direct specific bundles (e.g., "Projects" to Aggregator 1 and "Issues" to Aggregator 2), the difference in bundle counts is determined by the source modules, not by the router's configuration alone.
* Why Source Modules Determine Bundle Counts:
* Each aggregator processes data from a source module. If the source module outputs different numbers of bundles, the aggregators will show different bundle counts.
* In this example, "Projects" might output only 1 bundle (e.g., 1 project), while "Issues" outputs 10 bundles (e.g., 10 issues).
* How to Verify:
* Inspect the source modules feeding into each aggregator. Check the number of bundles they produce during the scenario run.
* Confirm that the aggregators are aggregating based on their respective inputs.
References:This explanation aligns with Workfront Fusion's handling of bundles and aggregation logic.
Differences in bundle counts at the aggregator level are typically due to differences in the source module outputs, as shown in the scenario.
NEW QUESTION # 15
......
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