Understanding the Issue:

The scenario is making too many API requests, causing the third-party API to return a 429 '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:

Placing Search and GET modules 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 the Search module retrieves record IDs, and the Read Record module makes separate API requests for each record. This often results in more requests than necessary.

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

Adding a Retry directive does 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.

Reference and Supporting Documentation:

Adobe Workfront Fusion Best Practices: Managing API Rate Limits

Workfront Community: Error 429 Solutions

Understanding the Requirement:

If a third-party system does not have a dedicated app connector in Workfront Fusion, users can still build an integration using Universal Connectors.

Universal Connectors in Fusion allow users to configure custom API calls, enabling communication with systems that lack pre-built integrations.

Steps to Build the Integration:

Determine the API Structure: Review the third-party system's API documentation to understand the available endpoints, data formats (e.g., JSON, XML), and request/response structure.

Identify Authentication Protocols: Determine how the third-party system handles authentication (e.g., API keys, OAuth 2.0, Basic Auth).

Configure the Universal Connector: Use modules like HTTP Request or Webhook to make API calls to the third-party system based on the documented structure.

Why Not Other Options?

B . Create a new connection to the third-party system in the connections area and then the Universal Connectors will be available for use: Creating a new connection in the connections area is only applicable for predefined connectors, not for Universal Connectors, which require manual configuration for unsupported systems.

C . Use the Workfront Custom API module to set up the connection using API calls to the third-party system: The Workfront Custom API module is specifically designed for Workfront's own API, not for connecting to third-party systems.

Adobe Workfront Fusion Documentation: Using Universal Connectors for Custom Integrations

Experience League Community: Integrating Third-Party Systems Using Workfront Fusion Universal Modules

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.

Adobe Workfront Fusion Documentation: Working with Incomplete Executions

Experience League Community: How to Enable and Manage Incomplete Executions in Fusion

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 a Define Data Structure module to define the JSON schema (fields, arrays, and objects).

Add a Parse JSON module to convert raw JSON packets into mapped data fields.

Add an Iterator module to process individual objects in the nested arrays.

Understanding the Questio n:

The scenario must begin as soon as a project update occurs in Adobe Workfront.

The correct Workfront module should continuously monitor for specific changes (in this case, project updates) and trigger the scenario immediately.

Why Option A ('Watch Events') is Correct:

Watch Events Module: This module in Adobe Workfront Fusion is specifically designed to monitor events, such as updates to projects, tasks, or issues, and trigger scenarios as soon as those events occur.

Real-Time Triggering: The 'Watch Events' module listens to the Workfront event stream and ensures the scenario starts immediately upon detecting relevant updates.

Example Use Case: Monitoring updates to a project's status, such as changes in 'Completion' or 'Progress,' to trigger notifications or integrations with other systems.

Why the Other Options are Incorrect:

Option B ('Watch Record'): This module monitors specific Workfront records (e.g., projects, tasks, issues) for new additions or modifications, but it does not initiate scenarios immediately when updates occur. It works better for periodic checks rather than real-time events.

Option C ('Watch Field'): This module monitors changes to specific fields within a Workfront object, but it is not designed for broader event monitoring like project updates. It is more suited for field-specific tracking.

Option D ('Search'): This module performs queries to find specific data in Workfront (e.g., searching for projects based on criteria), but it is not an event-driven module and does not automatically trigger scenarios.

Steps to Configure the Watch Events Module in Workfront Fusion:

In the Fusion scenario editor, add the Watch Events module as the first step in your scenario.

Configure the module:

Select Workfront Connection: Choose the authorized Workfront account.

Event Object: Specify the object type (e.g., Project, Task, Issue) to monitor.

Event Type: Select the type of event to watch, such as 'Update' or 'Change.'

Save and activate the scenario.

How This Solves the Problem:

Using the Watch Events module ensures the scenario is event-driven and starts automatically when the desired project update occurs. This approach is both efficient and timely, meeting the requirement for immediate initiation.

Reference and Supporting Documentation:

Adobe Workfront Fusion Official Documentation: Watch Events Module

Workfront Community Forum: Use Cases for Watch Events