AD0-E902 Exam Dumps - Adobe Workfront Questions and Answers

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

Understanding the Scenario:

The scenario includes two modules:

Workfront Search Module: Fetches data (likely project details).

Tools Module: Manipulates and sets multiple variables.

What the Images Show:

Workfront Search Module (First Module):

The output indicates29 bundlesof project data were retrieved.

Each bundle contains fields such asID,name, andplannedCompletionDate.

Tools Module (Second Module):

The data from the Workfront module is processed to set variables likeProject NameandProject Due Date.

Output includes transformed values, such as appending the approver’s name ("Joan Harris") to the project name and updating the project due date.

Why Option C is Correct:

Delivery of 29 Bundles: The Workfront module retrieved 29 project bundles and passed them to the Tools module.

Data Manipulation in Tools Module: The second module modified the data, such as appending "Joan Harris" to the project name and updating the due date to a different value. This is evident from the changes in the output of the Tools module compared to the input from the Workfront module.

Why the Other Options are Incorrect:

Option A:

Incorrect because theWorkfront moduleretrieved 29 bundles, not just 1 bundle. Additionally, the project name and planned completion date were manipulated in the second module, not the first.

Option B:

Incorrect because the retrieved data pertains to projects, not tasks.

Option D:

Incorrect because theinput and output fields in the Tools moduleare not identical. The data was clearly manipulated within the Tools module.

How This Scenario Operates:

The Workfront module fetches raw data, which is then processed in the Tools module. The processed variables (e.g., modified project names and due dates) are prepared for further use in subsequent scenario steps.

References and Supporting Documentation:

Adobe Workfront Fusion Documentation: Bundle Inspector

Workfront Community: Using Tools Module for Data Manipulation

The correct interpretation is that the first module delivered 29 bundles to the second module, where data manipulations occurred to modify the project name and planned completion date.

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

Step-by-Step Explanation

Purpose of the Query:

The task is to retrievefield optionsfrom acustom form field. This operation involves fetching data, not creating or modifying it, which requires a GET method.

Correct API Structure:

The URL must follow Workfront's API structure:

ruby

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https://{your-workfront-domain}/attask/api/{version}/{endpoint}

OptionBfollows this standard structure, where:

wfdomain.workfront.com is the placeholder for the Workfront instance.

/attask/api/v12.0 specifies the API version.

/PARAM/search is the endpoint to search for parameters or fields.

Why Not Other Options?

A: The use of POST is incorrect because it is meant for creating or updating resources, not retrieving data. Additionally, the URL structure is incorrect and includes unnecessary query strings (username, password) not relevant for this operation.

C: While the method GET is correct, the URL (PARAM/search) is incomplete and lacks the required Workfront API structure, making it invalid.

References

Workfront API Documentation: Querying and Retrieving Custom Form Field Data

Experience League Community: Best Practices for Using GET Methods in Workfront API=========================

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.