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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
- 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 3
- 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.
Topic 4
- 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.
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Adobe Workfront Fusion Professional Sample Questions (Q43-Q48):
NEW QUESTION # 43
A user notices that all task due dates for an organization are in the wrong time zone.
What is the simplest way to change the time zone so that it applies to all dates used in the organization's scenarios?
- A. Set a variable for every date in the scenario that formats the date to the desired time zone by using the formatDate function
- B. Change the scenario's time zone default
- C. Change the time zone in the computer's localization settings
- D. Change the Fusion organization's time zone
Answer: D
Explanation:
* Understanding the Issue:
* The user observes that all task due dates are incorrect due to a mismatch in the time zone.
* The solution must ensure that the correct time zone is applied universally across all scenarios and dates within the organization's Fusion instance.
* Why Option B is Correct:
* Fusion Organization's Time Zone Setting:
* Changing the time zone at theorganization levelensures that all scenarios within the organization adopt the updated time zone setting.
* This change applies globally, making it the simplest and most efficient method to ensure consistency across all dates and scenarios.
* This adjustment prevents the need for scenario-specific or localized changes, saving time and reducing errors.
* Why the Other Options are Incorrect:
* Option A ("Set a variable for every date using formatDate"):
* While the formatDate function can adjust time zones for individual dates, applying this approach to every date in every scenario is highly inefficient and error-prone. It does not offer a global solution.
* Option C ("Change the scenario's time zone default"):
* Scenarios in Fusion do not have a specific "time zone default" setting. The organization's time zone setting is the controlling factor.
* Option D ("Change the time zone in the computer's localization settings"):
* Fusion scenarios run on cloud servers, not the user's local machine. Changing the computer's time zone would have no effect on the scenarios' behavior.
* Steps to Change the Organization's Time Zone:
* Log in to Adobe Workfront Fusion.
* Navigate to theOrganization Settings:
* Go to theAdmin Panelor the organization settings section.
* Locate theTime Zonesetting.
* Select the desired time zone from the dropdown list.
* Save the changes.
* All scenarios will now adopt the updated time zone setting.
* How This Solves the Problem:
* Changing the organization's time zone applies a consistent time zone across all dates used in scenarios. This ensures accuracy without requiring individual scenario adjustments or manual interventions.
References and Supporting Documentation:
* Adobe Workfront Fusion Official Documentation: Organization Settings
* Workfront Community: Best Practices for Time Zone Configuration
NEW QUESTION # 44
Given this Fusion scenario, a user needs to access multiple fields from the Workfront module for mapped expressions in the HTTP PUT requests.
Which action should the user take?
- A. Set Multiple Variables module after the Workfront module. Get Multiple Variables between the Text Parser and the bottom Router.
- B. Set Multiple Variables module after the Workfront module. Get Variable modules just before each HTTP module for the specific variables needed in each bottom path.
- C. Set Variable module after the Workfront module. Get Variable modules just before each HTTP module in the bottom paths.
Answer: A
Explanation:
* 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
NEW QUESTION # 45
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. 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
- C. Nesting multiple mapping panel functions instead of setting and resetting variables when transforming data in more than one way
Answer: C
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 # 46
Which statement about the differences between instant and polling triggers is true?
- A. A user should use instant triggers when available because instant triggers allow Fusion to process bundles of data faster than polling triggers
- B. A user must set up a webhook in Fusion to use Instant Triggers that make polling triggers easier to use and more reliable in scenarios
- C. Only polling triggers can be set to run on a schedule and should be used to avoid shutdown of third- party systems during working hours
- D. To keep track of records processed, instant triggers store received webhooks in a queue, whereas polling triggers remember which records have already been processed
Answer: A
Explanation:
* Understanding Instant and Polling Triggers:
* Instant Triggers:
* Rely on webhooks to receive real-time data from a third-party system.
* The external system sends a notification (webhook) to Fusion whenever an event occurs, triggering the scenario immediately.
* Polling Triggers:
* Regularly check (poll) the third-party system for new or updated records at scheduled intervals.
* These are slower because they involve repeated API requests.
* Why Option B is Correct:
* Speed and Efficiency:
* Instant triggers process data faster because they act immediately upon receiving a webhook. Polling triggers, on the other hand, may take time depending on the polling frequency and can result in unnecessary delays.
* Reduced Load on Systems:
* Instant triggers generate fewer API calls than polling triggers, which continuously check for new records even if no changes have occurred.
* Best Practice: Use instant triggers whenever supported by the third-party system to ensure faster and more efficient scenario execution.
* Why the Other Options are Incorrect:
* Option A ("Instant triggers store received webhooks in a queue"):
* Webhooks do not store data in a queue; they simply notify Fusion of events in real-time.
Polling triggers also do not store records but remember the last processed record.
* Option C ("A user must set up a webhook in Fusion"):
* Instant triggers require setting up webhooks in the external system, not in Fusion. Fusion provides the webhook endpoint, but the user must configure the source system to send data.
* Option D ("Only polling triggers can be set to run on a schedule"):
* This is incorrect because instant triggers do not rely on schedules; they operate in real-time.
Polling triggers, however, run on schedules and are used when instant triggers are unavailable.
References and Supporting Documentation:
* Adobe Workfront Fusion Triggers Documentation
* Workfront Community: Differences Between Instant and Polling Triggers Instant triggers are the preferred option when available, as they provide real-time data processing with greater speed and efficiency than polling triggers.
NEW QUESTION # 47
In a scenario, there are two aggregators displaying different numbers in the bundle inspector: Aggregator 1 displays a 1, and Aggregator 2 displays a 10. What is a possible reason for this difference?
- A. Aggregator 2 displays a 10 in the bundle inspector because it is set to repeat 10 times
- B. 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
- C. Aggregator 1's route is set to process the 1st bundle only, and Aggregator 2's route is set to process all bundles
- D. The source module for the aggregators are different
Answer: D
Explanation:
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.
NEW QUESTION # 48
......
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