AD0-E902 DUMP TORRENT, NEW AD0-E902 EXAM QUESTION

AD0-E902 Dump Torrent, New AD0-E902 Exam Question

AD0-E902 Dump Torrent, New AD0-E902 Exam Question

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Adobe AD0-E902 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 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 (Q35-Q40):

NEW QUESTION # 35
A scenario is too large, with too many modules. Which technique can reduce the number of modules?

  • A. Using a Compose a string module to combine variables and module output. Then use the Text Parser to parse the data and assign to variables
  • B. Setting the scenario to Auto Commit in scenario settings
  • C. Nesting multiple mapping panel functions instead of setting and resetting variables when transforming data in more than one way

Answer: C

Explanation:
Step by Step Comprehensive Detailed Explanation:
* Problem Summary:
* The scenario has become too large due to the high number of modules.
* The goal is to reduce the number of modules by optimizing how data is transformed.
* Option Analysis:
* A. Nesting multiple mapping panel functions:
* Nesting multiple functions in the mapping panel (e.g., using if(), concat(), replace()) eliminates the need for separate modules to set and reset variables for each transformation.
* This is a highly efficient technique to transform data in fewer modules, making it the correct answer.
* B. Using a Compose a string module and Text Parser:
* This involves additional modules (Compose a string + Text Parser) instead of reducing the number of modules. It is not an optimal solution to this problem.
* C. Setting the scenario to Auto Commit:
* The Auto Commit setting helps with transactional control and does not reduce the number of modules in a scenario.
* Why Nesting Mapping Functions is Effective:
* Efficiency: Complex transformations can be performed inline within a single mapping panel.
* Readability: Proper nesting and naming conventions make it easier to understand the logic without adding unnecessary modules.
* Scalability: This approach keeps the scenario compact and reduces complexity as the scenario grows.
* How to Implement:
* Open the mapping panel in relevant modules.
* Use multiple nested functions like if(), concat(), add(), etc., within the mapping expressions.
* Test the mapping thoroughly to ensure correctness.


NEW QUESTION # 36
What two module outputs does a user receive from this expression? (Choose two.)

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

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 # 37
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. Record Add an Ignore error directive as an error handler route for the update module
  • B. Create a separate scenario to update the overall project condition
  • C. Apply the Run Once flow control function
  • D. Change the issue search module to result set of First Matching

Answer: B

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 # 38
A series of queries return several JSON packets that include a combination of nested arrays representing objects and their fields.
How should that information be arranged if each object needs to be processed through a portion of the scenario?

  • A. Define the data structure > Parse the JSON > then process arrays in the Iterator
  • B. Define the data structure > then run the Iterator to Parse each JSON packet
  • C. Merge the JSON > Parse the JSON > then use the Iterator
  • D. Concatenate the JSON > Define the data structures > Parse the JSON > then run the Iterator

Answer: A

Explanation:
Step by Step Comprehensive Detailed Explanation:
* Understanding the Problem:
* Multiple JSON packets with nested arrays are being returned by queries.
* The goal is to process each object within these JSON arrays through the scenario.
* Option Analysis:
* A. Define the data structure > then run the Iterator to Parse each JSON packet:
* Incorrect. While defining a data structure is necessary, running the Iterator first would fail to process the JSON properly if it is not parsed.
* B. Concatenate the JSON > Define the data structures > Parse the JSON > then run the Iterator:
* Incorrect. Concatenation is unnecessary for this scenario since each JSON packet can be parsed and processed independently.
* C. Define the data structure > Parse the JSON > then process arrays in the Iterator:
* Correct. The correct approach involves defining a data structure to map the JSON, parsing it to extract the data into usable fields, and then using an Iterator module to process each object in the nested arrays.
* D. Merge the JSON > Parse the JSON > then use the Iterator:
* Incorrect. Merging JSON packets is not required unless you explicitly need to combine data from multiple packets into a single structure, which is not mentioned in this scenario.
* Why This Workflow Works:
* Defining the Data Structure: Helps Fusion understand and map the JSON fields for processing.
* Parsing the JSON: Extracts the data into fields and arrays that can be further processed.
* Using the Iterator: Breaks down the nested arrays into individual objects for sequential processing through the scenario.
* Implementation Steps:
* Use aDefine Data Structuremodule to define the JSON schema (fields, arrays, and objects).
* Add aParse JSONmodule to convert raw JSON packets into mapped data fields.
* Add anIteratormodule to process individual objects in the nested arrays.


NEW QUESTION # 39
In this image,

all items are displayed in a position that does not hide their execution sequence. In what order do the modules execute?

  • A. Email > Data Store > Workfront > Salesforce >
  • B. Google Drive > Email > Workfront > Data Store > Salesforce
  • C. Email > Workfronl > Data Store > Salesforce > Google Drive
  • D. Google Drive Google Drive > Email > Data Store > Workfront > Salesforce

Answer: D

Explanation:
* Understanding the Diagram:
* The image depicts a Workfront Fusion scenario usingRoutersto split and manage multiple execution paths.
* Fusion executes modules in aleft-to-rightandtop-to-bottomsequence along each path. Routers direct the flow to downstream modules.
* Determining the Execution Sequence:
* Path 1:
* The first path begins withGoogle Drive. The Router branches out, directing execution sequentially to other modules.
* Path 2:
* The second path starts withEmailand continues downwards through the remaining modules.
* Order Within Branches:
* After passing through a Router, each branch completes its sequence of modules before moving to the next Router.
* Why Option D is Correct:
* Execution begins from the leftmost module (Google Drive) and flows rightward. The sequence is as follows:
* Google Drive
* Email
* Data Store
* Workfront
* Salesforce
* This matches the visual layout and Fusion's execution rules for scenarios with Routers.
* Why the Other Options are Incorrect:
* Option A ("Google Drive > Email > Workfront > Data Store > Salesforce"):
* Incorrect becauseWorkfrontdoes not precedeData Storein the execution order.
* Option B ("Email > Workfront > Data Store > Salesforce > Google Drive"):
* Incorrect because execution begins withGoogle Drive, not Email.
* Option C ("Email > Data Store > Workfront > Salesforce"):
* Incorrect because it excludesGoogle Driveas the starting point and places modules out of sequence.
* Execution Rules in Workfront Fusion:
* Fusion executes modules in the order they appear visually, starting from left to right and top to bottom within each branch.
* Routers split the execution into separate branches, which are completed sequentially.
References and Supporting Documentation:
* Adobe Workfront Fusion: Execution Flow Rules
* Workfront Community: Understanding Router and Module Execution
The correct execution sequence is Google Drive > Email > Data Store > Workfront > Salesforce, ensuring all paths are processed as per the scenario's layout.


NEW QUESTION # 40
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