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Adobe AD0-E902 Exam Syllabus Topics:

Topic
Details

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

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

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 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.

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Adobe Workfront Fusion Professional Sample Questions (Q10-Q15):

NEW QUESTION # 10
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 > Workfronl > Data Store > Salesforce > Google Drive
B. Google Drive Google Drive > Email > Data Store > Workfront > Salesforce
C. Google Drive > Email > Workfront > Data Store > Salesforce
D. Email > Data Store > Workfront > Salesforce >

Answer: B

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 # 11
A Fusion designer needs to create a Fusion scenario that will assign a user to each task with the Copywriter job role on a project.
Which method results in the fewest number of operations?

A. Searching for Tasks in the project with the Copywriter role and assign the user to each task
B. Using the Misc Action module for the project to assign all Copywriter assignments to the user
C. Searching for all assignments in the project where the role is Copywriter and add the user to each assignment

Answer: B

Explanation:
Step by Step Comprehensive Detailed Explanation:
* Scenario Context:
* The goal is to assign a user to all tasks on a project where the role is Copywriter.
* The chosen method should minimize the number of operations to ensure efficiency.
* Option Analysis:
* A. Searching for all assignments in the project where the role is Copywriter and add the user to each assignment:
* This approach involves searching assignments, iterating through them, and adding the user individually. Each iteration generates multiple operations, making it less efficient.
* B. Searching for Tasks in the project with the Copywriter role and assign the user to each task:
* Similar to Option A, this approach also requires iterating through tasks and assigning users one by one, resulting in a higher number of operations.
* C. Using the Misc Action module for the project to assign all Copywriter assignments to the user:
* Correct. The Misc Action module can perform bulk actions (e.g., assigning users to roles) in a single operation.
* This method is the most efficient, as it minimizes the number of operations while achieving the same result.
* Why the Misc Action Module is Best:
* Efficiency: Bulk operations reduce the number of API calls and iterations.
* Performance: Using fewer operations optimizes scenario execution and reduces resource consumption.
* Simplicity: Avoids the complexity of iterating through tasks or assignments individually.
* Implementation:
* Add a Misc Action module to the scenario.
* Configure the module to assign the user to all tasks with the Copywriter role on the selected project.
* Test the module to ensure it performs the bulk assignment as expected.

NEW QUESTION # 12
Data coming from a third-party system contains a field that needs to be transformed into one of three possible choices.
Which function supports this transformation?

A. Switch
B. Split
C. Slice

Answer: A

Explanation:
* Understanding the Requirement:
* The field data from a third-party system needs to be transformed into one of three possible choices.
* This transformation implies conditional logic, where the output depends on the value of the input field.
* Why Option A ("Switch") is Correct:
* TheSwitchfunction evaluates a given input against multiple cases and outputs a corresponding value based on the matched condition.
* For example:
switch(field, "value1", "choice1", "value2", "choice2", "defaultChoice")
* If field equals "value1", the output is "choice1".
* If field equals "value2", the output is "choice2".
* If no conditions match, the output is "defaultChoice".
* This functionality perfectly fits the requirement to transform the input into one of three possible choices.
* Why the Other Options are Incorrect:
* Option B ("Slice"):
* The slice function is used for extracting a portion of a string or array but does not support conditional transformations.
* Option C ("Split"):
* The split function divides a string into an array based on a specified delimiter. It is not designed for conditional logic or value mapping.
* How This Solves the Problem:
* The Switch function allows flexible and dynamic transformations, ensuring the field data is mapped to the correct choice based on its value.
References and Supporting Documentation:
* Adobe Workfront Fusion Functions Documentation
* Workfront Community: Using the Switch Function for Conditional Logic

NEW QUESTION # 13
Given the array below, a user wants a comma-separated string of all stat names.

What is the correct expression?

Answer: C

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 # 14

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

Answer: A

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 # 15
......

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