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Adobe Workfront Fusion Professional Sample Questions (Q37-Q42):

NEW QUESTION # 37
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. Nesting multiple mapping panel functions instead of setting and resetting variables when transforming data in more than one way
C. Setting the scenario to Auto Commit in scenario settings

Answer: B

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 # 38
A Fusion designer discovers that an iteration is processing thousands of bundles, though it should not need to.
What should the designer do to reduce the number of bundles?

A. Configure the trigger module to filter out unnecessary records
B. Configure the scenario settings to reduce the number of cycles per execution
C. Configure the trigger module to reduce the maximum number of results that Fusion will process during one execution cycle

Answer: A

Explanation:
Step by Step Comprehensive Detailed Explanation:
* Problem Summary:
* A trigger module is causing excessive iteration processing thousands of bundles unnecessarily.
* The goal is to optimize the scenario by reducing the number of processed bundles.
* Option Analysis:
* A. Configure the trigger module to reduce the maximum number of results:
* Reducing the maximum number of results processed per cycle limits the number of bundles processed at a time, but it does not solve the root issue of processing unnecessary records.
* B. Configure the trigger module to filter out unnecessary records:
* Filtering at the trigger level ensures that only the required records are fetched for processing, addressing the root cause of excessive bundle processing. This is the correct answer.
* C. Configure scenario settings to reduce cycles per execution:
* Limiting execution cycles reduces the overall runtime but does not directly address the number of bundles being processed unnecessarily.
* Why Filtering at the Trigger is Best:
* Efficiency: By setting up filters directly in the trigger, you ensure that only relevant data is retrieved.
* Performance: Reducing the number of unnecessary bundles improves processing speed and reduces resource usage.
* Accuracy: Filtering ensures only actionable data enters the workflow, maintaining scenario integrity.
* How to Implement:
* Open the trigger module settings.
* Add appropriate filters to exclude unnecessary records. For example:
* Add conditions to filter out old data or irrelevant statuses.
* Use fields like updatedDate, status, or any other criteria relevant to the workflow.
* Test the trigger module to verify that only relevant bundles are retrieved.
References:These answers are based on Workfront Fusion best practices for optimizing scenarios, as outlined in the Fusion documentation. Proper use of mapping panel functions and trigger filters ensures scenarios are efficient and scalable.

NEW QUESTION # 39

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. Aggregator 2 displays a 10 in the bundle inspector because it is set to repeat 10 times
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

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 # 40
A source system provides a list of users and their job roles and departments. The destination system requires the job role values be revised to match the job roles by different department. The end users currently use a spreadsheet to manage that mapping. Updates to this list are infrequent, and management requires more security than the current process offers.
Which method is appropriate for this use case?

A. Table aggregator
B. Switch
C. Spreadsheet
D. Data store

Answer: D

Explanation:
Step by Step Comprehensive Detailed Explanation:
* Scenario Summary:
* The source system provides a list of users, job roles, and departments.
* The destination system requires a mapping of job roles to different departments.
* Updates to this mapping are infrequent, and there is a concern for more security than a spreadsheet offers.
* Option Analysis:
* A. Switch: A switch function in Workfront Fusion is used to make decisions based on specific conditions but does not maintain persistent data like mappings over time. It is not suitable for storing mappings that require infrequent updates.
* B. Spreadsheet: Spreadsheets may be simple to use but are less secure and not ideal for integrating with Workfront Fusion workflows due to their lack of direct integration features or control over changes.
* C. Data store: Adata storein Workfront Fusion is specifically designed for storing persistent data, such as mappings or reference tables. It is secure, easy to manage, and integrates seamlessly with workflows, making it the best choice for this use case.
* D. Table aggregator: A table aggregator is used for combining or processing data within a workflow but is not suitable for storing persistent mappings outside of a running scenario.
* Why Data Store is Appropriate:
* Persistence: A data store is ideal for maintaining the job role and department mappings across scenarios.
* Security: It is managed within Workfront Fusion, offering better control and access restrictions compared to a spreadsheet.
* Ease of Integration: Data stores can be directly queried or updated in Fusion workflows, allowing seamless handling of mappings.
* Scalability: While updates are infrequent, the data store can handle changes easily and scale if the volume of mappings increases.
* Implementation in Workfront Fusion:
* Create adata storefor job roles and departments in Workfront Fusion.
* Set up fields for Job Role and Department in the data store.
* Use Workfront Fusion scenarios to retrieve and update mappings from this data store based on requirements.
References:This approach aligns with the Workfront Fusion documentation on data stores, which are designed for secure and efficient storage of persistent data used across scenarios. See Workfront Fusion resources for data store setup and use cases for further details.

NEW QUESTION # 41
A Fusion Developer receives frequent notifications that a specific Scenario has been stopped. Upon investigation, the developer notes that there is nothing wrong with the data or process in the scenario, but that the error always occurs on a specific module that calls a third-party system. The error recorded is consistently a service unavailable error, particularly during times of high network traffic to the target system.
Which action should the Fusion Developer take to reduce the number of times the scenario is automatically stopped by Fusion?

A. Add an additional route after the failing module with a repeater to retry errors.
B. Update the Module settings to automatically ignore failed executions.
C. Add an error handler to the Module and select a Break directive.
D. Update the Scenario settings to automatically retry failed executions.

Answer: D

Explanation:
In this scenario, the error consistently arises due to the unavailability of a third-party service during high traffic times. This is a temporary issue and does not indicate a problem with the data or process. The recommended approach in such cases is to configure the scenario to retry failed executions:
* Update Scenario Settings:
* In Workfront Fusion, you can configure scenarios to automatically retry a failed execution.
* This option ensures that temporary issues, like service unavailability, are retried after a delay, reducing the chances of the scenario being stopped permanently.
* This is particularly useful when dealing with network traffic spikes or third-party API throttling.
* Why Not Other Options?
* B. Update the Module settings to automatically ignore failed executions: Ignoring failed executions would cause incomplete or incorrect data to flow through the scenario, leading to potential downstream issues.
* C. Add an error handler to the Module and select a Break directive: While error handlers are useful, the Break directive stops the scenario from processing further, which is not ideal for a temporary issue.
* D. Add an additional route after the failing module with a repeater: Adding a repeater increases complexity and is unnecessary when the retry option is already available in scenario settings.
References:
* Adobe Workfront Fusion Documentation: Scenario Settings and Error Handling
* Experience League Community: Handling API Rate Limits and Errors in Workfront Fusion

NEW QUESTION # 42
......

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Adobe AD0-E902 Official Practice Test - AD0-E902 Exam Syllabus

AD0-E902 Exam Syllabus | Latest AD0-E902 Exam Labs

Adobe Workfront Fusion Professional Sample Questions (Q37-Q42):

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