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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

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 3

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 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 (Q12-Q17):

NEW QUESTION # 12

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 # 13
A Fusion scenario is triggered by a project status update. The scenario then updates the status, causing repeated execution of the scenario.
Which action should a user take to keep this from happening?

A. When using instant triggers, finish the scenario with the Break directive to prevent the record from being updated again
B. Create a filter after the instant trigger that only passes records that have not been updated by Fusion
C. Schedule the instant trigger to only run at intervals to prevent Fusion from thinking the record has been updated after each run

Answer: B

Explanation:
Step by Step Comprehensive Detailed Explanation:
* Understanding the Problem:
* The scenario is triggered by a project status update.
* After the scenario runs, it updates the project status again, which re-triggers the scenario, creating aloop.
* The goal is to prevent the scenario from re-triggering itself.
* Option Analysis:
* A. When using instant triggers, finish the scenario with the Break directive to prevent the record from being updated again:
* Incorrect. The Break directive is not used to prevent updates; it is used to stop further iterations of a scenario. It does not address the root cause of the loop, which is the re- triggering by updated records.
* B. Create a filter after the instant trigger that only passes records that have not been updated by Fusion:
* Correct. Adding a filter ensures that only records not recently updated by Fusion are processed. This prevents Fusion from re-triggering itself on the same record.
* For example, you could use a condition to check if the Last Updated By field does not equal the Fusion user or if the Last Update Date is older than a certain threshold.
* C. Schedule the instant trigger to only run at intervals to prevent Fusion from thinking the record has been updated after each run:
* Incorrect. Instant triggers are event-driven, and their purpose is to respond to changes immediately. Scheduling them would negate the benefit of instant triggers and does not solve the root problem.
* Why Filtering Records is Best:
* Targeted Control: A filter after the trigger ensures only relevant updates (e.g., those not caused by Fusion) are processed.
* Prevents Loops: By excluding records updated by Fusion, the scenario avoids re-triggering itself.
* Maintains Performance: Filtering prevents unnecessary processing of irrelevant records, improving efficiency.
* How to Implement:
* After the instant trigger module, add a filter module.
* Configure the filter to check the Last Updated By field or a custom flag indicating if the update was performed by Fusion.
* Example: Last Updated By # Fusion User or Update Flag # True.
* If a custom flag is used, ensure the flag is set when Fusion updates the record.
* Alternative Solutions:
* Add a custom field (e.g., "Updated by Fusion") that Fusion sets when it updates a record. This can also be used in the filter condition.
References:This approach aligns with Fusion best practices for preventing infinite loops caused by scenarios re-triggering themselves. Filtering ensures the scenario runs only when necessary, avoiding redundant processing and maintaining performance.

NEW QUESTION # 14
Given the array below, a user wants a comma-separated string of all stat names.

What is the correct expression?

Answer: A

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 # 15
Which statement about Workfront Fusion templates is accurate?

A. Fusion templates are publicly shared scenarios that support the quick development of automations for Workfront enterprise-level customers
B. Fusion templates help customers build Workfront automations for Workfront using simple walk- through guides
C. Fusion templates are only created and shared by Workfront to help customers with common workflow automations
D. Fusion templates allow a user to swap connections in commonly used scenarios to support multiple team automations

Answer: D

Explanation:
* Understanding the Role of Fusion Templates:
* Fusion templates are prebuilt scenario structures designed to help users set up automations efficiently by reusing common workflows.
* They are flexible and can be customized based on the organization's requirements.
* Why Option C is Correct:
* Swap Connections:
* Fusion templates allow users to replace connections (e.g., API connections, authentication tokens) to adapt the scenario for different teams, departments, or environments.
* This makes templates versatile for reuse in scenarios where the logic remains the same, but the data sources or destinations differ.
* Why the Other Options are Incorrect:
* Option A ("Fusion templates are publicly shared scenarios for enterprise-level customers"):
* Fusion templates are not public. They are created by users or Workfront admins for internal use within organizations.
* Option B ("Fusion templates are only created and shared by Workfront"):
* While Workfront provides some default templates, users can also create custom templates tailored to their needs.
* Option D ("Fusion templates help customers build Workfront automations using simple walk-through guides"):
* Fusion templates do not include walkthrough guides. They are structural frameworks for scenarios that users can modify or replicate.
* How Fusion Templates Help:
* Simplify repetitive workflows: Users don't need to recreate scenarios from scratch.
* Enable scalability: Templates can be shared across teams for consistent processes.
* Save time: By swapping connections, the same scenario logic can be used for different use cases.
References and Supporting Documentation:
* Adobe Workfront Fusion Templates Documentation
* Workfront Community: Best Practices for Fusion Templates
Fusion templates enable efficient automation setup by supporting reusable workflows with adaptable connections, making them a powerful tool for scaling team-level automation.

NEW QUESTION # 16
A CSV export from another system provides columns of information about Purchase Orders. The graphic below includes information from each column and an example of data from one row:
The customer wants this information in the title of their Workfront projects in the following order:
1.PO#
2. Name
3. PO Fulfillment Date
4. If a discount was given, include the Discount% and the Approver's Last Name.
Ex. 2837 - Compendium-Premium Running Shoes - 21 /02/16 -15% Discount - UserLast Which expression below represents the project name that the customer wants?

Answer: B

Explanation:
* Understanding the Requirement:
* The project name in Workfront must include:
* Purchase Order Number (PO#).
* Name of the product.
* PO Fulfillment Date (formatted as YY/MM/DD).
* If a discount is provided, append the discount percentage and the approver's last name in the format: 15% Discount - UserLast.
* Example Output:
sql
Copy
2837 - Compendium-Premium Running Shoes - 21/02/16 - 15% Discount - UserLast
* Why Option A is Correct:
* The expression in Option A achieves the desired result step-by-step:
* 3.PO#: Includes the PO number.
* 3.Name: Appends the name of the product.
* formatDate(3.PO Fulfillment Date, YY/MM/DD): Formats the PO Fulfillment Date in the desired YY/MM/DD format.
* if(3.Discount Provided? = "Yes"; "- " + 3.Discount % + " Discount - " + 3.Approver Last Name):
* Uses the if function to check if a discount was provided.
* If "Yes," it appends the discount percentage (3.Discount %) and approver's last name (3.Approver Last Name) with the required format.
* Why the Other Options are Incorrect:
* Option B:
* The expression is incorrect because it places if(3.Discount Provided?...) directly after PO Fulfillment Date without using formatDate for date formatting. This results in an unformatted date.
* Option C:
* Uses parseDate instead of formatDate, which is incorrect in this context. parseDate is used to interpret strings as dates, not to format dates for output.
* Option D:
* The expression does not include any conditional logic for checking if a discount is provided. It simply appends Discount - Approver Last Name regardless of whether a discount was given.
* Steps to Use the Expression in Workfront Fusion:
* Place the expression in the module that defines the project title in Workfront.
* Map the fields (PO#, Name, PO Fulfillment Date, etc.) to the respective columns from the CSV data.
* Test the scenario to ensure the output matches the desired format.
* Final Expression (Option A):
3.PO# + " - " + 3.Name + " - " + formatDate(3.PO Fulfillment Date; YY/MM/DD) + if(3.Discount Provided?
= "Yes"; " - " + 3.Discount % + " Discount - " + 3.Approver Last Name)
References and Supporting Documentation:
* Adobe Workfront Fusion Functions Documentation
* Workfront Community: Handling Conditional Logic and Date Formatting

NEW QUESTION # 17
......

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