AD0-E902 Authorized Exam Dumps | AD0-E902 Valid Test Answers

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Adobe AD0-E902 Exam Syllabus Topics:

Topic	Details
Topic 1	Testing and Error Handling: This section of the exam measures the skills of Quality Assurance Engineers and evaluates the principles of testing and error handling in Fusion. Candidates must define test plans and test cases, identify directives for handling unreliable services, and configure custom error handling mechanisms. One specific skill tested is applying the correct error-handling directive to manage service disruptions.
Topic 2	Foundational Technical Concepts: This section of the exam measures the skills of Fusion Developers and covers core technical concepts related to data transformation, function nesting, and expression formation in Fusion. Candidates must understand how to modify field formats, use appropriate functions, and work with data manipulation techniques. One key skill evaluated is selecting the correct function to transform data between different formats.
Topic 3	Scenario Design and Architecture: This section of the exam measures the skills of Solution Architects and focuses on designing and structuring Fusion scenarios efficiently. Candidates must determine the correct steps to parse JSON, perform data lookups, and distinguish between different triggers. Understanding system limitations, module selection, and timezone handling is also essential. One key skill assessed is identifying the appropriate method for uploading documents while managing access controls.
Topic 4	Working with APIs: This section of the exam measures the skills of Integration Specialists and assesses knowledge of API interactions within Fusion. Candidates must handle rate-limiting errors, identify ways to integrate third-party APIs and determine the correct module types when built-in functionalities are unavailable. One critical skill evaluated is implementing a solution for API rate limits to ensure seamless integration.

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Adobe Workfront Fusion Professional Sample Questions (Q11-Q16):

NEW QUESTION # 11
Which action makes it possible to see the exact API request and the response a module executes?

A. Using the Fusion DevTool error evaluator
B. Using the Fusion DevTool scenario debugger
C. Using the Bundle Inspector
D. Using the execution history

Answer: D

Explanation:
* Understanding the Requirement:
* The user needs to view the exactAPI requestand the correspondingresponsea module executes in Adobe Workfront Fusion.
* This is critical for debugging, troubleshooting, or validating API operations within scenarios.
* Why Option B is Correct:
* Execution History:
* Theexecution historylogs detailed information about every module that runs in a scenario.
* It provides access to theAPI requestsent, including the headers, parameters, and body.
* It also displays theAPI responsereceived, including HTTP status codes, returned data, and error messages (if applicable).
* This feature is indispensable for debugging and verifying the behavior of modules.
* Why the Other Options are Incorrect:
* Option A ("Using the Bundle Inspector"):
* The Bundle Inspector provides a view of processed data bundles but does not include API request/response details.
* Option C ("Using the Fusion DevTool scenario debugger"):
* Fusion does not have a specific "DevTool debugger." The execution history serves this purpose.
* Option D ("Using the Fusion DevTool error evaluator"):
* While error logs help evaluate issues, they do not directly show the API request/response unless an error occurs. Execution history is a more comprehensive source of this data.
* Steps to View Execution History:
* Run the scenario or inspect a previously executed scenario.
* Navigate to theExecution Historytab for the scenario.
* Select a specific module to view itsdetails.
* Inspect theAPI request and response, which includes all relevant parameters and data.
References and Supporting Documentation:
* Adobe Workfront Fusion Documentation: Execution History
* Workfront Community: Debugging with Execution History

NEW QUESTION # 12
Given the array below, a user wants a comma-separated string of all stat names.

What is the correct expression?

Answer: C

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 # 13
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 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
C. 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
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 # 14

This scenario shows a 1 in the bundle inspector for the Tasks module and a 23 in the bundle inspector for the Project module.
What does the number in the bundle inspector represent?

A. The number of output bundles
B. The number of seconds to process the module
C. The number of operations performed
D. The number of times a module has been edited

Answer: A

Explanation:
Step by Step Comprehensive Detailed Explanation:
* Understanding the Scenario:
* In Workfront Fusion, each module in a scenario processes data and generates bundles as output.
* The bundle inspector shows the number of bundles (data packets) output by a module during an execution.
* Option Analysis:
* A. The number of seconds to process the module:
* This is incorrect. The number in the bundle inspector does not indicate time but rather the count of output bundles. Processing time is not displayed in this way.
* B. The number of output bundles:
* Correct. The number displayed in the bundle inspector represents how many bundles the module output during the execution. In the given example, the "Tasks" module outputs1 bundle, and the "Project" module outputs23 bundles.
* C. The number of operations performed:
* This is incorrect. The bundle inspector displays the number of output bundles, not operations. While operations may be a result of processing bundles, they are tracked separately in Fusion reports.
* D. The number of times a module has been edited:
* This is incorrect. Editing history is not displayed in the bundle inspector.
* Explanation of Bundle Inspector:
* Each module processes input data and generates output bundles.
* These numbers in the bundle inspector indicate how many bundles the module is outputting in the current run of the scenario.
* For example, if a "Search" module retrieves 23 records, the bundle inspector will show 23, meaning the module outputs 23 bundles.
* Context of the Given Image:
* The "Tasks" module processes and outputs 1 bundle.
* The "Project" module processes 1 input bundle (from "Tasks") and outputs 23 bundles.
References:This information is consistent with Workfront Fusion documentation, which explains the bundle inspector's function during scenario execution. The bundle inspector is used to monitor data processing and ensure expected outputs from modules.

NEW QUESTION # 15
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. Router
B. Aggregator
C. Repeater
D. Iterator

Answer: C

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 # 16
......

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AD0-E902 Authorized Exam Dumps | AD0-E902 Valid Test Answers

Adobe AD0-E902 Exam Syllabus Topics:

2025 Adobe AD0-E902 –The Best Authorized Exam Dumps

Adobe Workfront Fusion Professional Sample Questions (Q11-Q16):

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