Adobe AD0-E902 Exam Dumps

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.

Understanding the Expression:

The provided expression uses the ifempty function:

ifempty(2.data:types[]; 'No Type')

Structure of the Expression:

The first parameter, 2.data:types[], is an array being checked for content.

The second parameter, 'No Type', is the fallback value returned if the array is empty or undefined.

Purpose of ifempty: This function checks if the given value is empty or undefined. If the value is not empty, it returns the value. If the value is empty, it returns the fallback text ('No Type').

Expected Module Outputs:

A . Non-empty array:

If 2.data:types[] is a non-empty array, the function returns the array as-is.

C . Text value 'No Type':

If 2.data:types[] is empty or undefined, the function returns the fallback text value 'No Type'.

Why the Other Options are Incorrect:

Option B ('An empty field'):

The ifempty function does not return an empty field. If the value is empty, it substitutes it with the fallback text ('No Type').

Option D ('Collections comma separated'):

The function operates on arrays, but it does not format the output as comma-separated collections. The raw array is returned if non-empty.

Key Use Cases:

This type of function is frequently used in Workfront Fusion to handle situations where data might be missing or incomplete, ensuring scenarios continue to run smoothly without errors caused by undefined or empty fields.

Example Outputs:

If 2.data:types[] = ['Type1', 'Type2']: The function returns ['Type1', 'Type2'].

If 2.data:types[] = [] or undefined: The function returns 'No Type'.

Reference and Supporting Documentation:

Adobe Workfront Fusion Functions Reference

Workfront Community: Handling Empty Fields with ifempty

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.

Reference: 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.

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 outputs 1 bundle, and the 'Project' module outputs 23 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.

Reference: 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.

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.

Adobe Workfront Fusion Documentation: Scenario Settings and Error Handling

Experience League Community: Handling API Rate Limits and Errors in Workfront Fusion