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NEW QUESTION # 38
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?
Answer: B
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 # 39
A Fusion designer is unhappy with the high number of bundles passing through an instant Watch Events module that monitors Workfront project updates.
Which action reduces the number of bundles passing through the module?
Answer: C
Explanation:
* 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
NEW QUESTION # 40
A user needs to find a fields options within a custom form field. The details for the request are shown in the image below:
Which option is applicable for the URL text box?
Answer: C
Explanation:
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=========================
NEW QUESTION # 41
A global customer has end users who input date and currency data into fields in inconsistent formats. Despite continued training efforts, this continues to be an issue. Unfortunately, the third-party service that the end users are using does not support forcing a required field format. These input mistakes do not happen frequently, but they currently stop the scenario from executing after the default three retries.
In Fusion, which action can the admin take to ensure that errors are corrected after they occur in a scenario?
Answer: C
Explanation:
* Understanding the Scenario:
* The issue involves end users inputting inconsistent date and currency formats that result in errors in a Workfront Fusion scenario.
* The default behavior of Fusion stops the scenario after three retries due to input mismatches or invalid formats.
* Why Option A is Correct:
* Storing Incomplete Executions: In Adobe Workfront Fusion, enabling "Store incomplete executions" in the scenario settings allows administrators to capture incomplete runs without fully stopping the entire process. This feature stores all relevant data, even from incomplete runs, allowing administrators to identify and correct input issues manually.
* Error Troubleshooting: By reviewing incomplete executions, admins can pinpoint where the scenario failed, resolve the issue, and potentially reprocess those incomplete records, preventing complete scenario stoppage.
* Why Option B is Incorrect:
* The "switch module" can handle specific input variations, but it is not a comprehensive solution for handling unexpected or inconsistent formats entered by end users. While it might mitigate some errors, it does not address the root cause and can miss unanticipated input patterns.
* Why Option C is Incorrect:
* Setting up an error handling path to notify users and request corrections adds an additional manual step for users but does not resolve the problem efficiently within Fusion. Moreover, this solution does not prevent the scenario from halting after retries.
* Steps to Enable Storing Incomplete Executions:
* Navigate to the scenario in Adobe Workfront Fusion.
* Open theScenario Settingsby clicking the gear icon.
* Enable the optionStore Incomplete Executionsunder Execution settings.
* Save the settings and activate the scenario.
* How This Solves the Problem:
* Enabling this setting ensures that no data is lost when the scenario fails due to inconsistent inputs.
Admins can access the incomplete executions through the scenario execution history, apply necessary corrections, and retry specific records or steps as needed.
References and Supporting Documentation:
* Adobe Workfront Fusion Official Documentation: Scenario Settings
* Workfront Community: Handling Incomplete Executions
NEW QUESTION # 42
A scenario is too large, with too many modules. Which technique can reduce the number of modules?
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 # 43
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