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Adobe AD0-E902 Exam Syllabus Topics:

Topic
Details

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

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 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

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.

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Adobe Workfront Fusion Professional Sample Questions (Q36-Q41):

NEW QUESTION # 36

In a scenario, there are two aggregators displaying different numbers in the bundle inspector: Aggregator 1 displays a 1, and Aggregator 2 displays a 10. What is a possible reason for this difference?

A. The source module for the aggregators are different
B. The scenario's router is set to only allow projects through the route to Aggregator 1 and only allows tasks through the route to Aggregator 2
C. Aggregator 1's route is set to process the 1st bundle only, and Aggregator 2's route is set to process all bundles
D. Aggregator 2 displays a 10 in the bundle inspector because it is set to repeat 10 times

Answer: A

Explanation:
Step by Step Comprehensive Detailed Explanation:
* Understanding the Scenario:
* The diagram shows two routes, each leading to an aggregator module (Aggregator 1 and Aggregator 2).
* The bundle inspector indicates different output counts for the two aggregators: Aggregator 1 displays 1, and Aggregator 2 displays 10.
* Option Analysis:
* A. Aggregator 1's route is set to process the 1st bundle only, and Aggregator 2's route is set to process all bundles:
* Incorrect. Aggregators process data from their input modules based on their configuration.
While filters or limits might be applied earlier in the flow, the scenario does not suggest that the aggregator's configuration explicitly limits bundles in this way.
* B. The source module for the aggregators are different:
* Correct. The two aggregators receive input from different modules. For example, Aggregator 1 might aggregate bundles from "Projects," which outputs a single bundle, while Aggregator 2 aggregates bundles from "Issues," which outputs 10 bundles. This explains the differing numbers in the bundle inspector.
* C. Aggregator 2 displays a 10 in the bundle inspector because it is set to repeat 10 times:
* Incorrect. Aggregators do not "repeat" a specific number of times. Instead, they process the input bundles passed to them and output a result based on the aggregation logic.
* D. The scenario's router is set to only allow projects through the route to Aggregator 1 and only allows tasks through the route to Aggregator 2:
* Incorrect. While the router might direct specific bundles (e.g., "Projects" to Aggregator 1 and "Issues" to Aggregator 2), the difference in bundle counts is determined by the source modules, not by the router's configuration alone.
* Why Source Modules Determine Bundle Counts:
* Each aggregator processes data from a source module. If the source module outputs different numbers of bundles, the aggregators will show different bundle counts.
* In this example, "Projects" might output only 1 bundle (e.g., 1 project), while "Issues" outputs 10 bundles (e.g., 10 issues).
* How to Verify:
* Inspect the source modules feeding into each aggregator. Check the number of bundles they produce during the scenario run.
* Confirm that the aggregators are aggregating based on their respective inputs.
References:This explanation aligns with Workfront Fusion's handling of bundles and aggregation logic.
Differences in bundle counts at the aggregator level are typically due to differences in the source module outputs, as shown in the scenario.

NEW QUESTION # 37
Which two features or modules can be used to create conditional or nested error handling when using Error Handling Directives? (Choose two.)

A. Text Parser
B. Filters
C. Routers
D. Workfront app

Answer: B,C

Explanation:
In Adobe Workfront Fusion, error handling directives are used to manage and respond to errors during scenario execution. These directives allow the implementation of conditional or nested error handling mechanisms, ensuring workflows can adapt and recover from unexpected issues efficiently. Among the features and modules provided by Fusion:
* Filters:
* Filters are essential components in Workfront Fusion. They allow you to define specific conditions to control the flow of data between modules.
* They enable conditional processing by allowing or restricting the passage of data based on defined criteria, which is fundamental for creating dynamic and conditional workflows.
* When used with error handling, filters can evaluate whether certain data meets criteria to determine alternative pathways, thus enabling conditional error handling.
* Routers:
* Routers split the execution of a scenario into multiple branches based on specific conditions.
* Each branch can be configured to handle different error types or conditions, allowing nested error handling and custom error recovery paths.
* They are particularly useful when you need to define distinct responses for various error cases within a single scenario.
Eliminated Options:
* A. Text Parser: While text parsers process and extract data from strings, they are not directly involved in error handling within scenarios.
* C. Workfront App: The Workfront app is primarily for interacting with Workfront features and functionalities, not directly related to error handling within Fusion scenarios.
References:
* Adobe Workfront Fusion Documentation: Error Handling Directives Overview
* Adobe Workfront Community: Filters and Routers in Conditional Logic Workflows
* Experience League Documentation:https://experienceleague.adobe.com

NEW QUESTION # 38
Given the array below, a user wants a comma-separated string of all stat names.

What is the correct expression?

Answer: D

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 # 39
In a scenario that searches for recently completed tasks, a user notices the following input and output for a date transformation.
Input: March 3, 2021 10:34 AM Output: March 1, 2021 10:34 AM
Which expression produces this date transformation?

A. subDays(now,2)
B. addHours(now; -48)
C. addDays(today; -4)

Answer: A

Explanation:
* Understanding the Date Transformation:
* Input:March 3, 2021, 10:34 AM
* Output:March 1, 2021, 10:34 AM
* The transformation subtracts2 daysfrom the input date without altering the time.
* Why Option A is Correct:
* subDays(now,2) subtracts exactly 2 days from the given date and time.
* It preserves the time component of the input (10:34 AM) while shifting the date backward by 2 days, which matches the given output.
* Why the Other Options are Incorrect:
* Option B ("addHours(now; -48)"): While subtracting 48 hours also results in a 2-day difference, this approach directly modifies the time. The resulting time could shift if the operation crosses daylight saving changes or edge cases with leap seconds. It is less reliable compared to subDays.
* Option C ("addDays(today; -4)"): This would subtract 4 days, which does not match the transformation shown in the example.
References and Supporting Documentation:
* Adobe Workfront Fusion: Date and Time Functions
* Workfront Community: Using Date and Time Expressions

NEW QUESTION # 40
What are two required elements of a test case? (Choose two.)

A. Clear procedure for completing the test
B. Source code being tested
C. Name of test owner
D. Expected outcome of test

Answer: A,D

Explanation:
* A. Expected Outcome of Test
* A test case must clearly state what the expected outcome is, providing a standard against which the results can be measured.
* This ensures testers can validate whether the scenario behaves as intended.
* C. Clear Procedure for Completing the Test
* A well-defined procedure outlines the exact steps required to execute the test, ensuring consistent and repeatable testing.
* This reduces ambiguity and helps identify whether errors are due to the scenario configuration or improper test execution.
* Why Not Other Options?
* B. Name of Test Owner: While helpful for accountability, the name of the test owner is not a required component of the test case itself.
* D. Source Code Being Tested: Fusion scenarios do not typically involve source code. Instead, the focus is on workflow execution and configuration, making this element irrelevant.
References:
* Workfront Training Materials: Test Case Design Best Practices
* Adobe Workfront Fusion Documentation: Testing and Debugging Scenarios

NEW QUESTION # 41
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