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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

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 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

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.

Adobe Workfront Fusion Professional Sample Questions (Q36-Q41):

NEW QUESTION # 36
A series of queries return several JSON packets that include a combination of nested arrays representing objects and their fields.
How should that information be arranged if each object needs to be processed through a portion of the scenario?

A. Define the data structure > Parse the JSON > then process arrays in the Iterator
B. Define the data structure > then run the Iterator to Parse each JSON packet
C. Merge the JSON > Parse the JSON > then use the Iterator
D. Concatenate the JSON > Define the data structures > Parse the JSON > then run the Iterator

Answer: A

Explanation:
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.

NEW QUESTION # 37
A Fusion user notices that a third-party web service is sometimes returning a connection error -"
"service is not reachable". However, the module executes successfully a few minutes later in a new execution.
Which action increases the success rate of the executions?

A. Adding a Break directive to the module
B. Adding an error handler that will notify the system owner
C. Making use of the default error handling

Answer: C

Explanation:
When dealing with intermittent errors, such as "service is not reachable," the default error handling in Adobe Workfront Fusion is often sufficient to improve execution success rates.
* Default Error Handling:
* Fusion automatically retries operations when transient errors, such as network or connection issues, occur.
* By leveraging this built-in functionality, the system will attempt to re-execute the failing module after a brief delay, which is often enough for the external service to become reachable again.
* Why Not Other Options?
* A. Adding an error handler that will notify the system owner: While notifying the owner can be useful for monitoring purposes, it does not directly address improving the success rate of executions.
* C. Adding a Break directive to the module: Adding a Break directive will stop the execution entirely, which is counterproductive in this case, as the service typically becomes reachable again after a short time.
References:
* Adobe Workfront Fusion Documentation: Default Error Handling Mechanisms
* Experience League Community: Managing Intermittent API Errors in Fusion

NEW QUESTION # 38
To meet compliance standards, a user must include a process that tracks every Workfront project update created by Fusion.
What can they do to address this business requirement?

A. Create a Note record related to the record updated
B. Use reporting on the Last Updated by ID and Last Update Date
C. Update the External Reference ID with User ID and Timestamp

Answer: A

Explanation:
Step by Step Comprehensive Detailed Explanation:
* Problem Summary:
* The organization requires a process to track every project update made by Fusion to meet compliance standards.
* This process must provide a clear audit trail of updates, including details like user and timestamp.
* Option Analysis:
* A. Use reporting on the Last Updated by ID and Last Update Date:
* While this provides basic reporting, it only reflects the most recent update and does not maintain a comprehensive history of changes over time.
* B. Update the External Reference ID with User ID and Timestamp:
* Updating the External Reference ID could cause issues if this field is used for other purposes. It is not designed for logging multiple updates.
* C. Create a Note record related to the record updated:
* Correct. Creating a Note record for each update ensures that every change is logged with relevant details (e.g., user, timestamp, update reason). This approach creates a full audit trail that is easily accessible and reportable.
* Why Note Records are Best:
* Audit Trail: Notes provide a clear and searchable history of updates for each project.
* Compliance: Ensures compliance by documenting who made what changes and when.
* Flexibility: Notes can include custom details such as update reasons or additional context, making them more robust than standard fields.
* Implementation:
* In the Fusion scenario, add a module to create a Note record after each update.
* Populate the Note with relevant details, such as:
* User ID ({lastUpdatedBy})
* Timestamp ({lastUpdateDate})
* Description of the change.

NEW QUESTION # 39
A source system provides a list of users and their job roles and departments. The destination system requires the job role values be revised to match the job roles by different department. The end users currently use a spreadsheet to manage that mapping. Updates to this list are infrequent, and management requires more security than the current process offers.
Which method is appropriate for this use case?

A. Spreadsheet
B. Switch
C. Table aggregator
D. Data store

Answer: D

Explanation:
Step by Step Comprehensive Detailed Explanation:
* Scenario Summary:
* The source system provides a list of users, job roles, and departments.
* The destination system requires a mapping of job roles to different departments.
* Updates to this mapping are infrequent, and there is a concern for more security than a spreadsheet offers.
* Option Analysis:
* A. Switch: A switch function in Workfront Fusion is used to make decisions based on specific conditions but does not maintain persistent data like mappings over time. It is not suitable for storing mappings that require infrequent updates.
* B. Spreadsheet: Spreadsheets may be simple to use but are less secure and not ideal for integrating with Workfront Fusion workflows due to their lack of direct integration features or control over changes.
* C. Data store: Adata storein Workfront Fusion is specifically designed for storing persistent data, such as mappings or reference tables. It is secure, easy to manage, and integrates seamlessly with workflows, making it the best choice for this use case.
* D. Table aggregator: A table aggregator is used for combining or processing data within a workflow but is not suitable for storing persistent mappings outside of a running scenario.
* Why Data Store is Appropriate:
* Persistence: A data store is ideal for maintaining the job role and department mappings across scenarios.
* Security: It is managed within Workfront Fusion, offering better control and access restrictions compared to a spreadsheet.
* Ease of Integration: Data stores can be directly queried or updated in Fusion workflows, allowing seamless handling of mappings.
* Scalability: While updates are infrequent, the data store can handle changes easily and scale if the volume of mappings increases.
* Implementation in Workfront Fusion:
* Create adata storefor job roles and departments in Workfront Fusion.
* Set up fields for Job Role and Department in the data store.
* Use Workfront Fusion scenarios to retrieve and update mappings from this data store based on requirements.
References:This approach aligns with the Workfront Fusion documentation on data stores, which are designed for secure and efficient storage of persistent data used across scenarios. See Workfront Fusion resources for data store setup and use cases for further details.

NEW QUESTION # 40
A web service provides the following array named "Colors":

Which expression returns the first ID in the array?

Answer: A

Explanation:
* Understanding the Array and the Task:
* Input Array (Colors):
[
{ "ID": "22342", "name": "Red" },
{ "ID": "33495", "name": "Blue" }
]
* Goal: Extract the first ID from the array, which is "22342".
* Why Option B is Correct:
* The expressionget(map(2.Colors; ID); 1):
* map(2.Colors; ID): Iterates over the array 2.Colors and extracts the ID field from each object. This creates a new array containing just the IDs:["22342", "33495"].
* get(...; 1): Retrieves the first element of the newly created array, which is "22342".
* Why the Other Options are Incorrect:
* Option A (map(2.Colors; ID; ID; 1)):
* This syntax is invalid because the additional ID and 1 parameters are misplaced. The map function requires only two arguments: the array and the field to map.
* Option C (map(get(2.Colors; ID); 1)):
* This incorrectly attempts to use get inside map. The get function does not return a field for mapping, so the syntax is invalid.
* How the Expression Works:
* Step 1: map(2.Colors; ID)
* Extracts the ID field from each object in the Colors array.
* Output: ["22342", "33495"].
* Step 2: get(...; 1)
* Retrieves the first element of the mapped array.
* Output: "22342".
* Use Case in Workfront Fusion:
* This approach is commonly used when processing arrays in Fusion scenarios, ensuring specific elements are accessed without additional looping or complex logic.
References and Supporting Documentation:
* Adobe Workfront Fusion Functions Documentation
* Workfront Community: Using Map and Get Functions
By combining map and get, this expression efficiently extracts the first ID from the array, ensuring correct and reliable results.

NEW QUESTION # 41
......

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