Free Practice Questions for Adobe AD0-E902 Exam

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.

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

Understanding the Requirement:

The desired output format for the project name in ServiceNow is:Two-Digit Year - Reference Number - Project Name

This requires dynamically constructing a string by combining:

The current year in a two-digit format.

ThereferenceNumber(a variable or input).

Thename(a variable or input, likely the project name).

Why Option C is Correct:

The concat function combines multiple strings into a single string.

Expression:

concat(formatDate(now;YY), " - ", referenceNumber, " - ", name)

This ensures proper formatting with hyphens and spaces between the elements.

Breaking Down the Components:

formatDate(now;YY): Retrieves the current year in a two-digit format (e.g., "23" for 2023).

" - ": Adds the required separator.

referenceNumber: Dynamically adds the reference number.

name: Dynamically adds the project name.

Why the Other Options are Incorrect:

Option A ("formatDate(now;YY) - referenceNumber - name"):

This is not valid because it does not explicitly use a string concatenation function.

Option B ("join(formatDate(now;YY) - referenceNumber - name"):

The join function is used for concatenating elements of an array, not individual strings. Since the inputs are not in an array, this function will not work.

How This Solves the Problem:

The concat function correctly constructs the string with the desired format, dynamically generating the project name for ServiceNow based on the given inputs.

References and Supporting Documentation:

Adobe Workfront Fusion Functions Documentation

Workfront Community: Using the concat Function

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.

Understanding the Scenario:

The image represents a Workfront Fusion scenario with a Workfront module, HTTP modules, and routers splitting the execution path.

The goal is to reuse multiple fields from the Workfront module (e.g., data extracted or processed earlier in the flow) as mapped expressions in HTTP PUT requests located in the bottom paths.

Why Option A is Correct:

Set Multiple Variables Module: This module allows you to define and store multiple variables at a single point in the scenario (e.g., after the Workfront module). These variables can then be reused throughout subsequent steps in the scenario.

Get Multiple Variables Module: By placing this module between the Text Parser and the bottom Router, you can retrieve all previously stored variables, ensuring consistent access across all branches of the flow. This avoids redundancy and ensures the data is easily accessible for each HTTP request in the bottom paths.

Why the Other Options are Incorrect:

Option B ("Set Multiple Variables after Workfront, Get Variables before each HTTP module"): This is partially correct but less efficient. Adding multiple Get Variable modules before each HTTP request results in repetitive configuration and increases maintenance complexity.

Option C ("Set Variable and Get Variable for each HTTP module"): Using individual Set and Get Variable modules increases duplication. This approach requires separate variables for each data point, which is inefficient compared to using the Set/Get Multiple Variables module for multiple fields at once.

Steps to Configure the Solution:

After the Workfront module:

Add aSet Multiple Variablesmodule.

Define all the fields required for the HTTP PUT requests as variables, mapping them from the Workfront module outputs.

Between the Text Parser and the bottom Router:

Add aGet Multiple Variablesmodule.

Retrieve the previously stored variables, ensuring they are accessible for all paths.

In the HTTP modules on each bottom path:

Use the retrieved variables for mapping in the PUT requests.

How This Solves the Problem:

This approach centralizes variable management, making it easier to access and modify data as needed.

It avoids redundancy, as variables are defined once and reused across all paths, reducing the risk of errors and ensuring consistency.

References and Supporting Documentation:

Adobe Workfront Fusion: Variables Module Overview

Workfront Community: Efficient Use of Variables in Fusion