AD0-E902 Adobe Workfront Fusion Professional Questions and Answers

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

When encountering the error429: Too many requests, which indicates the web service is being overwhelmed by requests, the following actions can help:

A. Add a Sleep Module:

Adding aSleepmodule introduces a delay between iterations, reducing the frequency of API calls.

By slowing down the rate of requests, you avoid hitting the rate limits of the web service, thus reducing the chances of receiving a 429 error.

This approach is useful for managing high-volume iterations without overloading the external service.

C. Add a Module to Test the Service for Errors:

Adding a module to test the service's response before making a call can help prevent the 429 error by checking if the service is ready to handle requests.

This preemptive check allows the scenario to conditionally execute, ensuring that it doesn't overwhelm the service and respects the API rate limits.

Why Not Other Options?

B. Use an Ignore Directive: Ignoring errors can be risky because it would cause the scenario to ignore 429 errors, possibly leading to failed API calls that are not addressed. Ignoring an error doesn’t solve the issue of too many requests being sent to the service.

D. Use a Break Directive: TheBreakdirective would stop the execution, which is counterproductive when trying to resolve the issue by reducing the rate of requests. It would not address the root cause of too many requests.

References:

Adobe Workfront Fusion Documentation: Handling API Rate Limiting with Sleep and Error Handling

Experience League Community: Managing Web Service Errors in High-Volume Iterations

Understanding the Issue:

The scenario is making too many API requests, causing the third-party API to return a429 "Too Many Requests"error, which indicates that the rate limit has been exceeded.

The solution needs to reduce unnecessary or redundant API requests to prevent hitting the API limits.

Why Option B is Correct:

Avoid Redundant Requests:

PlacingSearchandGETmodules earlier in the scenario ensures that all required data is retrieved in one batch or in fewer requests, rather than repeatedly querying the same record later in the scenario.

This technique reduces the overall number of API requests sent to the third-party system.

Efficient Data Flow:

By structuring the scenario to retrieve all necessary data at the beginning, subsequent modules can reuse the retrieved data instead of making additional API calls.

Why the Other Options are Incorrect:

Option A ("Using a Search module and then a Read Record module"):

This approach can increase API requests, as theSearch moduleretrieves record IDs, and theRead Record modulemakes separate API requests for each record. This often results in more requests than necessary.

Option C ("Adding a Retry error handling directive"):

Adding aRetry directivedoes not reduce the number of requests. Instead, it retries failed requests, which could worsen the problem by increasing API traffic.

Best Practices to Reduce API Requests:

Consolidate data retrieval into a single module or a smaller number of requests.

Use caching or intermediate storage (like Fusion Data Stores) to avoid re-fetching the same data.

Limit the scope of Search modules by using filters or pagination to process smaller, relevant data sets.

References and Supporting Documentation:

Adobe Workfront Fusion Best Practices: Managing API Rate Limits

Workfront Community: Error 429 Solutions

Understanding the Issue:

The customer is syncing20,000+ Salesforce Opportunitieswith Workfront projects using a scheduled Fusion scenario.

After running for 40 minutes, the scenario unexpectedly stops.

Why Option C is Correct:

Workfront Fusion Execution Timeout:

Fusion scenarios have a default execution timeout of40 minutesper run.

If the scenario exceeds this time limit, Fusion automatically stops the execution to avoid resource overuse.

Handling Large Data Sets:

Scenarios involving large datasets (like syncing 20,000+ records) may require optimizations, such as breaking the data into smaller chunks using paginated requests or iterators.

In this case, the scenario stopped because the execution timeout was reached, not due to API limits or webhook restrictions.

Why the Other Options are Incorrect:

Option A ("Workfront API call limit"):

While Workfront does have API rate limits, they are generally generous and not the reason for the scenario stopping. Fusion scenarios are designed to manage API calls efficiently.

Option B ("Fusion times out if processing over 2000 records in 40 minutes"):

This is incorrect because Fusion does not have a hard limit on the number of records processed in 40 minutes. The timeout is time-based, not record-based.

Option D ("Workfront API stops webhooks after 2000 hits in 10 minutes"):

This does not apply to Fusion scenarios. Webhooks are separate from the API calls initiated by Fusion.

How to Resolve the Issue:

Split the Data: Use pagination or batch processing to divide the 20,000+ records into smaller chunks (e.g., 1,000 or 2,000 records per run).

Adjust Scheduling: Schedule the scenario to run more frequently with smaller batches, ensuring all records are synced over multiple runs.

Use Iterators: Add an Iterator module to loop through smaller subsets of data, preventing the scenario from exceeding the execution timeout.

Steps to Optimize the Scenario:

Add aSearch Moduleto retrieve opportunities in smaller batches (e.g., using limits or pagination parameters).

Use aRepeater Moduleto process each batch iteratively.

Save the scenario and schedule it to run nightly or more frequently, depending on the sync requirements.

References and Supporting Documentation:

Adobe Workfront Fusion: Execution Timeout Limits

Workfront Community: Managing Large Data Sets in Fusion Scenarios

By optimizing the scenario to handle smaller batches of data, the admin can avoid the execution timeout issue and ensure successful syncing of Salesforce Opportunities with Workfront projects.

Understanding the Requirement:

The user wants to enableresource sharingin Fusion, includingconnections,data stores, andkeys.

Resource sharing is necessary to allow multiple scenarios or users to access shared resources efficiently within the same Fusion environment.

Why Option B ("Create a new team") is Correct:

Teams in Fusion:

Teams are a feature in Adobe Workfront Fusion designed to group users together within an organization.

By creating ateam, you can enableshared accessto resources such as API connections, data stores, and authentication keys, streamlining collaboration and avoiding duplication.

Resource Sharing with Teams:

All members of the team can access shared resources (e.g., connections), allowing consistent and collaborative scenario development and execution.

Example: If multiple users within a team need to use the same API connection, creating a team allows the connection to be configured once and shared among all team members.

Why the Other Options are Incorrect:

Option A ("Create a new group"):

Groups in Fusion are used primarily for organizing scenarios or categorizing users but do not inherently allow sharing of resources like connections or keys. Groups lack the resource-sharing functionality of teams.

Option C ("Create a new organization"):

Organizations in Fusion represent the highest-level administrative entity. While creating an organization allows resource sharing among all users within the organization, it is not the recommended solution for managing resource sharing in smaller or more focused groups, such as project teams.

Steps to Create a New Team and Share Resources:

Log in to Adobe Workfront Fusion.

Navigate to theAdmin PanelorTeam Managementsection.

SelectCreate a New Teamand provide a name for the team.

Assign users to the team by adding their Fusion accounts.

Configure shared resources (e.g., connections, data stores, keys) to be accessible by the team.

Save the settings, and all team members will now have access to the shared resources.

How This Solves the Problem:

Creating a team ensures that all resources, such as connections, data stores, and keys, are accessible to team members without requiring individual duplication or configuration. It simplifies collaboration and promotes consistency across scenarios.

References and Supporting Documentation:

Adobe Workfront Fusion: Teams Overview

Workfront Community: Managing Teams and Resource Sharing

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.

Understanding the Requirement:

The user wants to test the first half of the scenario for consistency without executing the remaining modules.

This requires halting further execution after a specific point in the scenario.

Why Option D ("Break") is Correct:

TheBreakmodule is a flow control module in Adobe Workfront Fusion that stops the execution of all subsequent modules in the scenario.

It is specifically designed for scenarios where you want to terminate execution after testing or processing a portion of the flow.

Example Use Case: After ensuring the first set of modules processes data correctly, the Break module prevents the execution of later modules to avoid unintended actions or changes.

Why the Other Options are Incorrect:

Option A ("Router"):

The Router splits the execution flow into multiple branches but does not stop the execution of subsequent modules.

Option B ("Sleep"):

The Sleep module pauses execution for a specified time but does not disable subsequent modules permanently.

Option C ("Ignore"):

There is no "Ignore" module in Workfront Fusion.

Steps to Use the Break Module:

Insert theBreakmodule at the point where you want to stop execution.

Save and run the scenario to test the flow up to the Break module.

Once satisfied with the results, remove or bypass the Break module to continue testing or finalizing the full scenario.

How This Solves the Problem:

The Break module allows targeted testing of specific sections of the scenario while preventing unwanted execution of subsequent actions, making it a safe and efficient way to debug workflows.

References and Supporting Documentation:

Adobe Workfront Fusion Flow Control Modules Documentation

Workfront Community: Using the Break Module in Scenario Development

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.

Step by Step Comprehensive Detailed Explanation:

Understanding the Problem:

Multiple JSON packets with nested arrays are being returned by queries.

The goal is to process each object within these JSON arrays through the scenario.

Option Analysis:

A. Define the data structure > then run the Iterator to Parse each JSON packet:

Incorrect. While defining a data structure is necessary, running the Iterator first would fail to process the JSON properly if it is not parsed.

B. Concatenate the JSON > Define the data structures > Parse the JSON > then run the Iterator:

Incorrect. Concatenation is unnecessary for this scenario since each JSON packet can be parsed and processed independently.

C. Define the data structure > Parse the JSON > then process arrays in the Iterator:

Correct. The correct approach involves defining a data structure to map the JSON, parsing it to extract the data into usable fields, and then using an Iterator module to process each object in the nested arrays.

D. Merge the JSON > Parse the JSON > then use the Iterator:

Incorrect. Merging JSON packets is not required unless you explicitly need to combine data from multiple packets into a single structure, which is not mentioned in this scenario.

Why This Workflow Works:

Defining the Data Structure: Helps Fusion understand and map the JSON fields for processing.

Parsing the JSON: Extracts the data into fields and arrays that can be further processed.

Using the Iterator: Breaks down the nested arrays into individual objects for sequential processing through the scenario.

Implementation Steps:

Use aDefine Data Structuremodule to define the JSON schema (fields, arrays, and objects).

Add aParse JSONmodule to convert raw JSON packets into mapped data fields.

Add anIteratormodule to process individual objects in the nested arrays.

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

Workfront's training on scenario testing emphasizes the importance of a well-structured test plan to ensure scenario reliability and accuracy. The three essential elements include:

B. Description of Expected Behavior:

This provides clarity on what the scenario is supposed to achieve when executed successfully.

It serves as a benchmark for evaluating the outcome of test executions.

C. Specific Event/Trigger per Scenario:

Identifying and testing specific triggers ensures that the scenario starts under the correct conditions.

This is crucial for verifying the proper configuration of the scenario’s start point.

D. Description of Testing Steps:

Outlining step-by-step instructions for the testing process ensures that all aspects of the scenario are tested systematically.

It helps identify potential bottlenecks or areas for improvement in the scenario’s configuration.

Why Not Other Options?

A. Roadmap requirements: This pertains to project planning and is not directly relevant to scenario testing.

E. Executive sponsor expectations: While valuable for overall project alignment, it is not an essential component of a technical test plan.

References:

Workfront Training Materials: Best Practices for Scenario Testing

Experience League Documentation: How to Design and Execute a Test Plan for Workfront Fusion Scenarios

Understanding the Issue:

TheWatch Eventsmodule is generating a high number of bundles because it monitors a broad range of project updates in Workfront, resulting in an overwhelming amount of data passing through the scenario.

The goal is to reduce the number of bundles by narrowing the scope of monitored events.

Why Option C is Correct:

Switching to Watch Record:

TheWatch Recordmodule allows users to monitor specific records (e.g., projects, tasks) with additional filtering options in thecriteriaorfilter box.

By applying filters, the module can focus only on relevant updates, significantly reducing the number of bundles being processed.

Example: Filtering for specific project statuses, update types, or assigned users ensures that only relevant changes are captured.

Why the Other Options are Incorrect:

Option A ("Reducing the maximum number of returned events on the trigger"):

This limits the number of bundles processed per cycle but does not address the root cause, which is the broad monitoring scope of theWatch Eventsmodule.

Option B ("Reducing the maximum number of cycles in scenario settings"):

The number of cycles determines how many iterations the scenario performs in one run but does not reduce the number of bundles entering the scenario.

Steps to Use the Watch Record Module:

Replace theWatch Eventsmodule withWatch Record.

Specify the record type to monitor (e.g., Project).

Use the optional filter box to apply criteria, such as specific project fields, statuses, or other conditions.

Activate the scenario to test the refined data flow.

References and Supporting Documentation:

Adobe Workfront Fusion: Watch Record Module

Workfront Community: Managing High Bundle Volumes in Fusion