AD0-E902 VALID TEST EXPERIENCE - AD0-E902 STUDY MATERIAL

AD0-E902 Valid Test Experience - AD0-E902 Study Material

AD0-E902 Valid Test Experience - AD0-E902 Study Material

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Adobe AD0-E902 Exam Syllabus Topics:

TopicDetails
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
  • 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
  • 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.

Adobe Workfront Fusion Professional Sample Questions (Q43-Q48):

NEW QUESTION # 43
Which module must a user select to upload a document into Workfront and attach it to a task?

  • A. Upload Document while setting the related record
  • B. Create Record for Document Version after Create Record for the document on the task
  • C. Create Record of Document type while setting the related record
  • D. Miscellaneous Action to attach document to a task

Answer: A

Explanation:
* Understanding the Requirement:
* The user wants to upload a document into Workfront and attach it to a specific task.
* This action involves creating a document in Workfront and associating it with a task as a related record.
* Why Option B is Correct:
* TheUpload Documentmodule is specifically designed for uploading files into Workfront.
* It includes the ability to set arelated record(e.g., a task, project, or issue) to which the document will be attached.
* This ensures the document is uploaded and correctly linked to the task in a single operation.
* Why the Other Options are Incorrect:
* Option A ("Create Record for Document Version after Create Record for the document on the task"):
* This involves multiple steps, which are unnecessary. TheUpload Documentmodule already handles both the upload and the attachment in one action.
* Option C ("Create Record of Document type while setting the related record"):
* TheCreate Recordmodule is not designed for file uploads. It only creates metadata records, not the actual document.
* Option D ("Miscellaneous Action to attach document to a task"):
* There is noMiscellaneous Actionspecifically for attaching a document to a task. The Upload Documentmodule is the appropriate choice.
* Steps to Upload a Document in Workfront Fusion:
* Add theUpload Documentmodule to the scenario.
* Specify the file to upload (e.g., from a previous module like Google Drive or an HTTP request).
* Set therelated recordto the target task by providing its ID.
* Run the scenario to upload and attach the document to the task.
References and Supporting Documentation:
* Adobe Workfront Fusion: Upload Document Module
* Workfront Community: Best Practices for Document Management in Fusion The Upload Document module is the most efficient and accurate method for uploading and attaching a document to a task in Workfront.


NEW QUESTION # 44
What two module outputs does a user receive from this expression? (Choose two.)

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

Answer: A,B

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 # 45
A user queried Salesforce for user information, and it returned a name, email address, and user ID. The user would like to assign a task in Workfront.
Which steps are required to assign the task?

  • A. Assign the task using the provided user ID > add the user ID to the assignment field
  • B. Query Workfront for user based on email address > assign task using returned ID
  • C. Query Workfront based on the user's name > assign task using returned email address

Answer: B

Explanation:
* Step 1: Query Workfront for User Based on Email Address
* Salesforce provides the email address of the user. Since Workfront uses user IDs for task assignments, the email address can be used as a unique identifier to query Workfront's database.
* A query module in Workfront Fusion retrieves the corresponding Workfront user ID using the provided email address.
* Step 2: Assign Task Using Returned ID
* After retrieving the Workfront user ID, use it in the assignment field of the task module in Fusion.
* The task assignment process requires a valid user ID, ensuring proper linkage and assignment within Workfront.
* Why Not Other Options?
* A. Assign the task using the provided user ID > add the user ID to the assignment field: The Salesforce user ID is not recognized by Workfront. It is necessary to query Workfront to convert the email into a Workfront-compatible user ID.
* C. Query Workfront based on the user's name > assign task using returned email address:
Workfront uses user IDs, not email addresses, for task assignments. Names are also not unique and could cause assignment errors.
References:
* Adobe Workfront Fusion Documentation: Task Assignments Using User IDs
* Experience League Community: Mapping Salesforce Data to Workfront Tasks


NEW QUESTION # 46
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 Fusion occasionally times out if trying to process over 2000 records within a 40-minute period
  • B. Workfront has a limit to the number of API calls it can receive and stopped the scenario from running
  • C. Workfront Fusion has an execution timeout and likely stopped the scenario from running
  • D. The Workfront API stops integration webhooks if they are hit more than 2000 times in a 10 minute period

Answer: C

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 # 47

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

Answer: B

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 # 48
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