PDF AD0-E902 Cram Exam | AD0-E902 Detailed Answers

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Adobe AD0-E902 Exam Syllabus Topics:

Topic	Details
Topic 1	Foundational Technical Concepts: This section of the exam measures the skills of Fusion Developers and covers core technical concepts related to data transformation, function nesting, and expression formation in Fusion. Candidates must understand how to modify field formats, use appropriate functions, and work with data manipulation techniques. One key skill evaluated is selecting the correct function to transform data between different formats.
Topic 2	Working with APIs: This section of the exam measures the skills of Integration Specialists and assesses knowledge of API interactions within Fusion. Candidates must handle rate-limiting errors, identify ways to integrate third-party APIs and determine the correct module types when built-in functionalities are unavailable. One critical skill evaluated is implementing a solution for API rate limits to ensure seamless integration.
Topic 3	Scenario Design and Architecture: This section of the exam measures the skills of Solution Architects and focuses on designing and structuring Fusion scenarios efficiently. Candidates must determine the correct steps to parse JSON, perform data lookups, and distinguish between different triggers. Understanding system limitations, module selection, and timezone handling is also essential. One key skill assessed is identifying the appropriate method for uploading documents while managing access controls.
Topic 4	Testing and Error Handling: This section of the exam measures the skills of Quality Assurance Engineers and evaluates the principles of testing and error handling in Fusion. Candidates must define test plans and test cases, identify directives for handling unreliable services, and configure custom error handling mechanisms. One specific skill tested is applying the correct error-handling directive to manage service disruptions.

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Adobe AD0-E902 Detailed Answers - Reliable AD0-E902 Test Simulator

The Adobe AD0-E902 exam offers a great opportunity for beginner and experienced to validate their expertise in a short time period. To do this they just need to pass the Adobe Workfront Fusion Professional AD0-E902 Certification Exam which is not an easy task. And PassLeader offfers latest AD0-E902 exam practice, exam pattern and practice exam online.

Adobe Workfront Fusion Professional Sample Questions (Q39-Q44):

NEW QUESTION # 39
Given the array below, a user wants a comma-separated string of all stat names.

What is the correct expression?

Answer: C

Explanation:
* Understanding the Requirement:
* The input is an array containing objects, and the goal is to extract all the stat.name values into a comma-separated string.
* Example Input:
[
{
"base_stat": 48,
"effort": 1,
"stat": {
"name": "hp",
"url": "https://pokeapi.co/api/v2/stat/1/"
}
},
{
"base_stat": 48,
"effort": 0,
"stat": {
"name": "attack",
"url": "https://pokeapi.co/api/v2/stat/2/"
}
}
]
* Example Output:"hp, attack"
* Why Option B is Correct:
* The expressionjoin(map(2.data: stats[]; stats.stat.name); ", "):
* map: Iterates through each object in the array (2.data: stats[]) and extracts the stat.name field.
* join: Combines the extracted values into a single string, separated by a comma and space (", ").
* Breaking it down:
* map(2.data: stats[]; stats.stat.name) # Creates an array of names: ["hp", "attack"].
* join(...; ", ") # Converts the array into the string "hp, attack".
* Why the Other Options are Incorrect:
* Option A: join(2.data: stats[]; stat.name; ", ")
* This syntax is incorrect because it attempts to directly access stat.name within the join function without first mapping the values.
* Option C: join(map(2.data: stats[]; stat.name); ", ")
* The mapping references stat.name directly but does not account for the nested structure (stats.stat.name).
* Option D: join(flatten(2.data: stats[]); ", ")
* The flatten function is unnecessary here as the data is already structured. It would not properly extract the stat.name values.
* Steps to Implement in Workfront Fusion:
* Add aMapping/Transformation Module.
* Use the join(map(...)) function as described to transform the input array into a comma-separated string.
* Test the output to ensure it correctly generates the desired format.
* How This Solves the Problem:
* The map function ensures the proper extraction of nested stat.name values.
* The join function combines these values into the desired format efficiently.
References and Supporting Documentation:
* Adobe Workfront Fusion Functions Documentation
* Workfront Community: Using Map and Join Functions
The combination of map and join ensures that the stat names are extracted and formatted into a single comma-separated string, as required.

NEW QUESTION # 40
A scenario is too large, with too many modules. Which technique can reduce the number of modules?

A. Setting the scenario to Auto Commit in scenario settings
B. Nesting multiple mapping panel functions instead of setting and resetting variables when transforming data in more than one way
C. Using a Compose a string module to combine variables and module output. Then use the Text Parser to parse the data and assign to variables

Answer: B

Explanation:
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.

NEW QUESTION # 41
What information can be understood from the images of this bundle inspector?

A. The trigger module returned 29 bundles of task data with only the task ID. name, and planned completion date getting passed to the second module in the scenario
B. The project name and planned completion date were changed in the trigger module because the input and output fields in the second module are the same
C. The trigger module returned 1 bundle of project data with only the project ID, name, and planned completion date getting passed to the second module in the scenario
D. The first module delivered 29 bundles of data to the second module. Data manipulations happened in the second module to change the project name and planned completion date

Answer: D

Explanation:
* 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 Nameand Project 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.

NEW QUESTION # 42
A user queried Salesforce for user information, and it returned a name, email address, and user ID. The user would like to assign a task in Workfront.
Which steps are required to assign the task?

A. Assign the task using the provided user ID > add the user ID to the assignment field
B. Query Workfront based on the user's name > assign task using returned email address
C. Query Workfront for user based on email address > assign task using returned ID

Answer: C

Explanation:
* Step 1: Query Workfront for User Based on Email Address
* Salesforce provides the email address of the user. Since Workfront uses user IDs for task assignments, the email address can be used as a unique identifier to query Workfront's database.
* A query module in Workfront Fusion retrieves the corresponding Workfront user ID using the provided email address.
* Step 2: Assign Task Using Returned ID
* After retrieving the Workfront user ID, use it in the assignment field of the task module in Fusion.
* The task assignment process requires a valid user ID, ensuring proper linkage and assignment within Workfront.
* Why Not Other Options?
* A. Assign the task using the provided user ID > add the user ID to the assignment field: The Salesforce user ID is not recognized by Workfront. It is necessary to query Workfront to convert the email into a Workfront-compatible user ID.
* C. Query Workfront based on the user's name > assign task using returned email address:
Workfront uses user IDs, not email addresses, for task assignments. Names are also not unique and could cause assignment errors.
References:
* Adobe Workfront Fusion Documentation: Task Assignments Using User IDs
* Experience League Community: Mapping Salesforce Data to Workfront Tasks

NEW QUESTION # 43
In a Fusion scenario, a new project in Workfront will trigger the creation of a new project in ServiceNow. The name of the project in ServiceNow will be constructed in the following format:
Two Digit Year - Reference Number - Project Name
Which expression will generate the correct string?

A. formatDate(now;YY) - referenceNumber - name
B. concat(formatDate(now;YY) - referenceNumber - name)
C. join(formatDate(now;YY) - referenceNumber - name)

Answer: B

Explanation:
* 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

NEW QUESTION # 44
......

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PDF AD0-E902 CRAM EXAM | AD0-E902 DETAILED ANSWERS

PDF AD0-E902 Cram Exam | AD0-E902 Detailed Answers