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Adobe AD0-E902 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 2
- 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 3
- 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 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.
Adobe Workfront Fusion Professional Sample Questions (Q45-Q50):
NEW QUESTION # 45
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. Workfront has a limit to the number of API calls it can receive and stopped the scenario from running
- B. Workfront Fusion has an execution timeout and likely stopped the scenario from running
- C. The Workfront API stops integration webhooks if they are hit more than 2000 times in a 10 minute period
- D. Workfront Fusion occasionally times out if trying to process over 2000 records within a 40-minute period
Answer: B
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 # 46
A Fusion user notices that a third-party web service is sometimes returning a connection error -"
"service is not reachable". However, the module executes successfully a few minutes later in a new execution.
Which action increases the success rate of the executions?
- A. Adding an error handler that will notify the system owner
- B. Making use of the default error handling
- C. Adding a Break directive to the module
Answer: B
Explanation:
When dealing with intermittent errors, such as "service is not reachable," the default error handling in Adobe Workfront Fusion is often sufficient to improve execution success rates.
* Default Error Handling:
* Fusion automatically retries operations when transient errors, such as network or connection issues, occur.
* By leveraging this built-in functionality, the system will attempt to re-execute the failing module after a brief delay, which is often enough for the external service to become reachable again.
* Why Not Other Options?
* A. Adding an error handler that will notify the system owner: While notifying the owner can be useful for monitoring purposes, it does not directly address improving the success rate of executions.
* C. Adding a Break directive to the module: Adding a Break directive will stop the execution entirely, which is counterproductive in this case, as the service typically becomes reachable again after a short time.
References:
* Adobe Workfront Fusion Documentation: Default Error Handling Mechanisms
* Experience League Community: Managing Intermittent API Errors in Fusion
NEW QUESTION # 47
A Fusion Developer receives frequent notifications that a specific Scenario has been stopped. Upon investigation, the developer notes that there is nothing wrong with the data or process in the scenario, but that the error always occurs on a specific module that calls a third-party system. The error recorded is consistently a service unavailable error, particularly during times of high network traffic to the target system.
Which action should the Fusion Developer take to reduce the number of times the scenario is automatically stopped by Fusion?
- A. Update the Scenario settings to automatically retry failed executions.
- B. Add an additional route after the failing module with a repeater to retry errors.
- C. Add an error handler to the Module and select a Break directive.
- D. Update the Module settings to automatically ignore failed executions.
Answer: A
Explanation:
In this scenario, the error consistently arises due to the unavailability of a third-party service during high traffic times. This is a temporary issue and does not indicate a problem with the data or process. The recommended approach in such cases is to configure the scenario to retry failed executions:
* Update Scenario Settings:
* In Workfront Fusion, you can configure scenarios to automatically retry a failed execution.
* This option ensures that temporary issues, like service unavailability, are retried after a delay, reducing the chances of the scenario being stopped permanently.
* This is particularly useful when dealing with network traffic spikes or third-party API throttling.
* Why Not Other Options?
* B. Update the Module settings to automatically ignore failed executions: Ignoring failed executions would cause incomplete or incorrect data to flow through the scenario, leading to potential downstream issues.
* C. Add an error handler to the Module and select a Break directive: While error handlers are useful, the Break directive stops the scenario from processing further, which is not ideal for a temporary issue.
* D. Add an additional route after the failing module with a repeater: Adding a repeater increases complexity and is unnecessary when the retry option is already available in scenario settings.
References:
* Adobe Workfront Fusion Documentation: Scenario Settings and Error Handling
* Experience League Community: Handling API Rate Limits and Errors in Workfront Fusion
NEW QUESTION # 48
A user notices that all task due dates for an organization are in the wrong time zone.
What is the simplest way to change the time zone so that it applies to all dates used in the organization's scenarios?
- A. Change the scenario's time zone default
- B. Change the time zone in the computer's localization settings
- C. Set a variable for every date in the scenario that formats the date to the desired time zone by using the formatDate function
- D. Change the Fusion organization's time zone
Answer: D
Explanation:
* Understanding the Issue:
* The user observes that all task due dates are incorrect due to a mismatch in the time zone.
* The solution must ensure that the correct time zone is applied universally across all scenarios and dates within the organization's Fusion instance.
* Why Option B is Correct:
* Fusion Organization's Time Zone Setting:
* Changing the time zone at theorganization levelensures that all scenarios within the organization adopt the updated time zone setting.
* This change applies globally, making it the simplest and most efficient method to ensure consistency across all dates and scenarios.
* This adjustment prevents the need for scenario-specific or localized changes, saving time and reducing errors.
* Why the Other Options are Incorrect:
* Option A ("Set a variable for every date using formatDate"):
* While the formatDate function can adjust time zones for individual dates, applying this approach to every date in every scenario is highly inefficient and error-prone. It does not offer a global solution.
* Option C ("Change the scenario's time zone default"):
* Scenarios in Fusion do not have a specific "time zone default" setting. The organization's time zone setting is the controlling factor.
* Option D ("Change the time zone in the computer's localization settings"):
* Fusion scenarios run on cloud servers, not the user's local machine. Changing the computer's time zone would have no effect on the scenarios' behavior.
* Steps to Change the Organization's Time Zone:
* Log in to Adobe Workfront Fusion.
* Navigate to theOrganization Settings:
* Go to theAdmin Panelor the organization settings section.
* Locate theTime Zonesetting.
* Select the desired time zone from the dropdown list.
* Save the changes.
* All scenarios will now adopt the updated time zone setting.
* How This Solves the Problem:
* Changing the organization's time zone applies a consistent time zone across all dates used in scenarios. This ensures accuracy without requiring individual scenario adjustments or manual interventions.
References and Supporting Documentation:
* Adobe Workfront Fusion Official Documentation: Organization Settings
* Workfront Community: Best Practices for Time Zone Configuration
NEW QUESTION # 49
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 # 50
......
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