ADOBE AD0-E902 QUESTIONS [2025]

Adobe AD0-E902 Questions [2025]

Adobe AD0-E902 Questions [2025]

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Adobe AD0-E902 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
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
  • 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.

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Adobe Workfront Fusion Professional Sample Questions (Q33-Q38):

NEW QUESTION # 33
A Fusion scenario is triggered by a project status update. The scenario then updates the status, causing repeated execution of the scenario.
Which action should a user take to keep this from happening?

  • A. Create a filter after the instant trigger that only passes records that have not been updated by Fusion
  • B. When using instant triggers, finish the scenario with the Break directive to prevent the record from being updated again
  • C. Schedule the instant trigger to only run at intervals to prevent Fusion from thinking the record has been updated after each run

Answer: A


NEW QUESTION # 34
A custom API call to a web service is used inside of a high volume iteration. The module that calls the web service sometimes returns an error - 429: Too many requests.
Which two actions may be used to address this error? (Choose two.)

  • A. Add a module to test the service for errors
  • B. Add a sleep module just prior to the module generating the error
  • C. Use a break directive on the module generating the error
  • D. Use an ignore directive on the module generating the error

Answer: A,B

Explanation:
When encountering the error429: Too many requests, which indicates the web service is being overwhelmed by requests, the following actions can help:
* A. Add a Sleep Module:
* Adding aSleepmodule introduces a delay between iterations, reducing the frequency of API calls.
* By slowing down the rate of requests, you avoid hitting the rate limits of the web service, thus reducing the chances of receiving a 429 error.
* This approach is useful for managing high-volume iterations without overloading the external service.
* C. Add a Module to Test the Service for Errors:
* Adding a module to test the service's response before making a call can help prevent the 429 error by checking if the service is ready to handle requests.
* This preemptive check allows the scenario to conditionally execute, ensuring that it doesn't overwhelm the service and respects the API rate limits.
* Why Not Other Options?
* B. Use an Ignore Directive: Ignoring errors can be risky because it would cause the scenario to ignore 429 errors, possibly leading to failed API calls that are not addressed. Ignoring an error doesn't solve the issue of too many requests being sent to the service.
* D. Use a Break Directive: TheBreakdirective would stop the execution, which is counterproductive when trying to resolve the issue by reducing the rate of requests. It would not address the root cause of too many requests.
References:
* Adobe Workfront Fusion Documentation: Handling API Rate Limiting with Sleep and Error Handling
* Experience League Community: Managing Web Service Errors in High-Volume Iterations


NEW QUESTION # 35
A source system provides a list of users and their job roles and departments. The destination system requires the job role values be revised to match the job roles by different department. The end users currently use a spreadsheet to manage that mapping. Updates to this list are infrequent, and management requires more security than the current process offers.
Which method is appropriate for this use case?

  • A. Data store
  • B. Spreadsheet
  • C. Switch
  • D. Table aggregator

Answer: A

Explanation:
Step by Step Comprehensive Detailed Explanation:
* Scenario Summary:
* The source system provides a list of users, job roles, and departments.
* The destination system requires a mapping of job roles to different departments.
* Updates to this mapping are infrequent, and there is a concern for more security than a spreadsheet offers.
* Option Analysis:
* A. Switch: A switch function in Workfront Fusion is used to make decisions based on specific conditions but does not maintain persistent data like mappings over time. It is not suitable for storing mappings that require infrequent updates.
* B. Spreadsheet: Spreadsheets may be simple to use but are less secure and not ideal for integrating with Workfront Fusion workflows due to their lack of direct integration features or control over changes.
* C. Data store: Adata storein Workfront Fusion is specifically designed for storing persistent data, such as mappings or reference tables. It is secure, easy to manage, and integrates seamlessly with workflows, making it the best choice for this use case.
* D. Table aggregator: A table aggregator is used for combining or processing data within a workflow but is not suitable for storing persistent mappings outside of a running scenario.
* Why Data Store is Appropriate:
* Persistence: A data store is ideal for maintaining the job role and department mappings across scenarios.
* Security: It is managed within Workfront Fusion, offering better control and access restrictions compared to a spreadsheet.
* Ease of Integration: Data stores can be directly queried or updated in Fusion workflows, allowing seamless handling of mappings.
* Scalability: While updates are infrequent, the data store can handle changes easily and scale if the volume of mappings increases.
* Implementation in Workfront Fusion:
* Create adata storefor job roles and departments in Workfront Fusion.
* Set up fields for Job Role and Department in the data store.
* Use Workfront Fusion scenarios to retrieve and update mappings from this data store based on requirements.
References:This approach aligns with the Workfront Fusion documentation on data stores, which are designed for secure and efficient storage of persistent data used across scenarios. See Workfront Fusion resources for data store setup and use cases for further details.


NEW QUESTION # 36
A Fusion designer discovers that an iteration is processing thousands of bundles, though it should not need to.
What should the designer do to reduce the number of bundles?

  • A. Configure the trigger module to filter out unnecessary records
  • B. Configure the scenario settings to reduce the number of cycles per execution
  • C. Configure the trigger module to reduce the maximum number of results that Fusion will process during one execution cycle

Answer: A

Explanation:
Step by Step Comprehensive Detailed Explanation:
* Problem Summary:
* A trigger module is causing excessive iteration processing thousands of bundles unnecessarily.
* The goal is to optimize the scenario by reducing the number of processed bundles.
* Option Analysis:
* A. Configure the trigger module to reduce the maximum number of results:
* Reducing the maximum number of results processed per cycle limits the number of bundles processed at a time, but it does not solve the root issue of processing unnecessary records.
* B. Configure the trigger module to filter out unnecessary records:
* Filtering at the trigger level ensures that only the required records are fetched for processing, addressing the root cause of excessive bundle processing. This is the correct answer.
* C. Configure scenario settings to reduce cycles per execution:
* Limiting execution cycles reduces the overall runtime but does not directly address the number of bundles being processed unnecessarily.
* Why Filtering at the Trigger is Best:
* Efficiency: By setting up filters directly in the trigger, you ensure that only relevant data is retrieved.
* Performance: Reducing the number of unnecessary bundles improves processing speed and reduces resource usage.
* Accuracy: Filtering ensures only actionable data enters the workflow, maintaining scenario integrity.
* How to Implement:
* Open the trigger module settings.
* Add appropriate filters to exclude unnecessary records. For example:
* Add conditions to filter out old data or irrelevant statuses.
* Use fields like updatedDate, status, or any other criteria relevant to the workflow.
* Test the trigger module to verify that only relevant bundles are retrieved.
References:These answers are based on Workfront Fusion best practices for optimizing scenarios, as outlined in the Fusion documentation. Proper use of mapping panel functions and trigger filters ensures scenarios are efficient and scalable.


NEW QUESTION # 37
Which action makes it possible to see the exact API request and the response a module executes?

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

Answer: A

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 # 38
......

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