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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
- 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
- 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.
Adobe Workfront Fusion Professional Sample Questions (Q28-Q33):
NEW QUESTION # 28
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 # 29
Which two statements about working with incomplete executions are true? (Choose two.)
- A. When resolving an incomplete execution, the scenario will process the bundle of data through the remainder of the scenario not yet executed
- B. Incomplete executions should be avoided because they only give visibility into better scenario design
- C. When incomplete executions are togged, a user must review the History tab to understand the error and then manually run the entire scenario to resolve
- D. Incomplete executions are not stored by default. This option must be enabled in the scenario settings in each scenario
Answer: A,D
Explanation:
* B. Incomplete Executions Are Not Stored by Default:
* By default, Workfront Fusion does not store incomplete executions unless this setting is explicitly enabled in the scenario's settings.
* This feature needs to be activated for troubleshooting and manually resolving incomplete executions later.
* D. Resolving Incomplete Executions:
* When an incomplete execution is resumed, the scenario picks up from the point of failure and processes the remaining steps with the data bundle that caused the error.
* This ensures that the scenario completes its intended process without restarting entirely.
* Why Not Other Options?
* A. When incomplete executions are togged, a user must review the History tab to understand the error and then manually run the entire scenario to resolve: This is incorrect because incomplete executions do not require restarting the entire scenario; they continue from the point of failure.
* C. Incomplete executions should be avoided because they only give visibility into better scenario design: This statement is misleading. Incomplete executions are often inevitable and provide critical insights into handling errors and improving scenarios.
References:
* Adobe Workfront Fusion Documentation: Working with Incomplete Executions
* Experience League Community: How to Enable and Manage Incomplete Executions in Fusion
NEW QUESTION # 30
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. Create a separate scenario to update the overall project condition
- B. Record Add an Ignore error directive as an error handler route for the update module
- C. Change the issue search module to result set of First Matching
- D. Apply the Run Once flow control function
Answer: A
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 # 31
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. Email > Data Store > Workfront > Salesforce >
- D. Google Drive > Email > Workfront > Data Store > 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 # 32
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. Aggregator 1's route is set to process the 1st bundle only, and Aggregator 2's route is set to process all bundles
- B. The source module for the aggregators are different
- C. 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
- D. Aggregator 2 displays a 10 in the bundle inspector because it is set to repeat 10 times
Answer: B
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 # 33
......
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