PASS GUARANTEED AD0-E902 - ADOBE WORKFRONT FUSION PROFESSIONAL UNPARALLELED DOWNLOAD FEE

Pass Guaranteed AD0-E902 - Adobe Workfront Fusion Professional Unparalleled Download Fee

Pass Guaranteed AD0-E902 - Adobe Workfront Fusion Professional Unparalleled Download Fee

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Adobe Workfront Fusion Professional Sample Questions (Q47-Q52):

NEW QUESTION # 47
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 sleep module just prior to the module generating the error
  • B. Add a module to test the service for errors
  • C. Use an ignore directive on the module generating the error
  • D. Use a break directive on the module generating the error

Answer: A,B


NEW QUESTION # 48
A customer wants all their Salesforce Opportunities to sync with their connected projects in Workfront - approximately 20,000+ projects.
After the admin sets a Workfront Fusion scenario to run each night and perform this action, the scenario is run once to test. After 40 minutes, it unexpectedly stops running.
Why did this occur?

  • A. The Workfront API stops integration webhooks if they are hit more than 2000 times in a 10 minute period
  • B. Workfront Fusion occasionally times out if trying to process over 2000 records within a 40-minute period
  • C. Workfront has a limit to the number of API calls it can receive and stopped the scenario from running
  • D. Workfront Fusion has an execution timeout and likely stopped the scenario from running

Answer: D

Explanation:
* Understanding the Issue:
* The customer is syncing20,000+ Salesforce Opportunitieswith Workfront projects using a scheduled Fusion scenario.
* After running for 40 minutes, the scenario unexpectedly stops.
* Why Option C is Correct:
* Workfront Fusion Execution Timeout:
* Fusion scenarios have a default execution timeout of40 minutesper run.
* If the scenario exceeds this time limit, Fusion automatically stops the execution to avoid resource overuse.
* Handling Large Data Sets:
* Scenarios involving large datasets (like syncing 20,000+ records) may require optimizations, such as breaking the data into smaller chunks using paginated requests or iterators.
* In this case, the scenario stopped because the execution timeout was reached, not due to API limits or webhook restrictions.
* Why the Other Options are Incorrect:
* Option A ("Workfront API call limit"):
* While Workfront does have API rate limits, they are generally generous and not the reason for the scenario stopping. Fusion scenarios are designed to manage API calls efficiently.
* Option B ("Fusion times out if processing over 2000 records in 40 minutes"):
* This is incorrect because Fusion does not have a hard limit on the number of records processed in 40 minutes. The timeout is time-based, not record-based.
* Option D ("Workfront API stops webhooks after 2000 hits in 10 minutes"):
* This does not apply to Fusion scenarios. Webhooks are separate from the API calls initiated by Fusion.
* How to Resolve the Issue:
* Split the Data: Use pagination or batch processing to divide the 20,000+ records into smaller chunks (e.g., 1,000 or 2,000 records per run).
* Adjust Scheduling: Schedule the scenario to run more frequently with smaller batches, ensuring all records are synced over multiple runs.
* Use Iterators: Add an Iterator module to loop through smaller subsets of data, preventing the scenario from exceeding the execution timeout.
* Steps to Optimize the Scenario:
* Add aSearch Moduleto retrieve opportunities in smaller batches (e.g., using limits or pagination parameters).
* Use aRepeater Moduleto process each batch iteratively.
* Save the scenario and schedule it to run nightly or more frequently, depending on the sync requirements.
References and Supporting Documentation:
* Adobe Workfront Fusion: Execution Timeout Limits
* Workfront Community: Managing Large Data Sets in Fusion Scenarios
By optimizing the scenario to handle smaller batches of data, the admin can avoid the execution timeout issue and ensure successful syncing of Salesforce Opportunities with Workfront projects.


NEW QUESTION # 49
A Fusion scenario updates project conditions each night, and should set the project condition to At Risk if there are any high priority open issues on the project. The scenario retrieves all open projects and cycles through the projects. For each project with issues, it retrieves all associated open issues, iterates through them and sets the project condition to At Risk if the issue is high priority or On Target if it is not.
A user notices that Fusion is updating the progress condition multiple times, once for each issue in the project.
How can the developer ensure the project is updated only once?

  • A. Apply the Run Once flow control function
  • B. Record Add an Ignore error directive as an error handler route for the update module
  • C. Change the issue search module to result set of First Matching
  • D. Create a separate scenario to update the overall project condition

Answer: D

Explanation:
Step by Step Comprehensive Detailed Explanation:
* Problem Summary:
* The Fusion scenario updates the project condition multiple times, once for each high-priority issue.
* The desired behavior is to update the project condition only once, based on the overall condition of all associated issues.
* Option Analysis:
* A. Change the issue search module to result set of First Matching:
* This would limit the search to only the first issue. However, this does not account for all issues on the project, leading to incomplete logic for setting the project condition.
* B. Add an Ignore error directive as an error handler route for the update module:
* Ignoring errors does not prevent multiple updates; it only suppresses errors in the workflow.
* C. Create a separate scenario to update the overall project condition:
* Correct. By separating the project update logic into a different scenario, the developer can ensure the condition is updated only once after analyzing all issues. The project condition is calculated holistically, based on the state of all high-priority issues.
* D. Apply the Run Once flow control function:
* "Run Once" controls execution at the scenario level, not within a module's iteration. It cannot prevent multiple updates in this context.
* Why Separate Scenario is Best:
* Simplifies Logic: A separate scenario can be designed to run after all issues have been checked, ensuring only one update per project.
* Avoids Redundancy: Prevents unnecessary API calls to update the same project multiple times.
* Improves Performance: Reduces the number of operations and bundles processed in the main scenario.
* Implementation:
* Create a separate scenario triggered after the issue-checking scenario completes.
* Use aggregate data (e.g., a data store or intermediate processing) to evaluate the overall project condition before performing a single update.


NEW QUESTION # 50
What two module outputs does a user receive from this expression? (Choose two.)

  • A. Collections comma separated
  • B. Non-empty array
  • C. Text value'No Type"
  • D. An empty field

Answer: B,C

Explanation:
* Understanding the Expression:
* The provided expression uses the ifempty function:
ifempty(2.data:types[]; "No Type")
* Structure of the Expression:
* The first parameter, 2.data:types[], is an array being checked for content.
* The second parameter, "No Type", is the fallback value returned if the array is empty or undefined.
* Purpose of ifempty: This function checks if the given value is empty or undefined. If the value is not empty, it returns the value. If the value is empty, it returns the fallback text ("No Type").
* Expected Module Outputs:
* A. Non-empty array:
* If 2.data:types[] is a non-empty array, the function returns the array as-is.
* C. Text value 'No Type':
* If 2.data:types[] is empty or undefined, the function returns the fallback text value "No Type".
* Why the Other Options are Incorrect:
* Option B ("An empty field"):
* The ifempty function does not return an empty field. If the value is empty, it substitutes it with the fallback text ("No Type").
* Option D ("Collections comma separated"):
* The function operates on arrays, but it does not format the output as comma-separated collections. The raw array is returned if non-empty.
* Key Use Cases:
* This type of function is frequently used in Workfront Fusion to handle situations where data might be missing or incomplete, ensuring scenarios continue to run smoothly without errors caused by undefined or empty fields.
* Example Outputs:
* If 2.data:types[] = ["Type1", "Type2"]: The function returns ["Type1", "Type2"].
* If 2.data:types[] = [] or undefined: The function returns "No Type".
References and Supporting Documentation:
* Adobe Workfront Fusion Functions Reference
* Workfront Community: Handling Empty Fields with ifempty


NEW QUESTION # 51
A Fusion scenario is making too many requests to a third-party API, which returns a 429 "Too Many Requests" error Which technique reduces the number of API requests?

  • A. Adding a Retry error handling directive to the Fusion scenario
  • B. Using a Search module to get record IDs and then read those IDs with a Read Record module to pull other data
  • C. Moving Search and GET modules earlier in the scenario instead of pulling more data about the same record multiple times

Answer: C

Explanation:
* Understanding the Issue:
* The scenario is making too many API requests, causing the third-party API to return a429 "Too Many Requests"error, which indicates that the rate limit has been exceeded.
* The solution needs to reduce unnecessary or redundant API requests to prevent hitting the API limits.
* Why Option B is Correct:
* Avoid Redundant Requests:
* PlacingSearchandGETmodules earlier in the scenario ensures that all required data is retrieved in one batch or in fewer requests, rather than repeatedly querying the same record later in the scenario.
* This technique reduces the overall number of API requests sent to the third-party system.
* Efficient Data Flow:
* By structuring the scenario to retrieve all necessary data at the beginning, subsequent modules can reuse the retrieved data instead of making additional API calls.
* Why the Other Options are Incorrect:
* Option A ("Using a Search module and then a Read Record module"):
* This approach can increase API requests, as theSearch moduleretrieves record IDs, and the Read Record modulemakes separate API requests for each record. This often results in more requests than necessary.
* Option C ("Adding a Retry error handling directive"):
* Adding aRetry directivedoes not reduce the number of requests. Instead, it retries failed requests, which could worsen the problem by increasing API traffic.
* Best Practices to Reduce API Requests:
* Consolidate data retrieval into a single module or a smaller number of requests.
* Use caching or intermediate storage (like Fusion Data Stores) to avoid re-fetching the same data.
* Limit the scope of Search modules by using filters or pagination to process smaller, relevant data sets.
References and Supporting Documentation:
* Adobe Workfront Fusion Best Practices: Managing API Rate Limits
* Workfront Community: Error 429 Solutions


NEW QUESTION # 52
......

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