In this image, all items are displayed in a position that does not hide their execution sequence. In what order do the modules execute?
Correct Answer: D
* Understanding the Diagram: * The image depicts a Workfront Fusion scenario usingRoutersto split and manage multiple execution paths. * Fusion executes modules in aleft-to-rightandtop-to-bottomsequence along each path. Routers direct the flow to downstream modules. * Determining the Execution Sequence: * Path 1: * The first path begins withGoogle Drive. The Router branches out, directing execution sequentially to other modules. * Path 2: * The second path starts withEmailand continues downwards through the remaining modules. * Order Within Branches: * After passing through a Router, each branch completes its sequence of modules before moving to the next Router. * Why Option D is Correct: * Execution begins from the leftmost module (Google Drive) and flows rightward. The sequence is as follows: * Google Drive * Email * Data Store * Workfront * Salesforce * This matches the visual layout and Fusion's execution rules for scenarios with Routers. * Why the Other Options are Incorrect: * Option A ("Google Drive > Email > Workfront > Data Store > Salesforce"): * Incorrect becauseWorkfrontdoes not precedeData Storein the execution order. * Option B ("Email > Workfront > Data Store > Salesforce > Google Drive"): * Incorrect because execution begins withGoogle Drive, not Email. * Option C ("Email > Data Store > Workfront > Salesforce"): * Incorrect because it excludesGoogle Driveas the starting point and places modules out of sequence. * Execution Rules in Workfront Fusion: * Fusion executes modules in the order they appear visually, starting from left to right and top to bottom within each branch. * Routers split the execution into separate branches, which are completed sequentially. References and Supporting Documentation: * Adobe Workfront Fusion: Execution Flow Rules * Workfront Community: Understanding Router and Module Execution The correct execution sequence is Google Drive > Email > Data Store > Workfront > Salesforce, ensuring all paths are processed as per the scenario's layout.
Question 2
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?
Correct Answer: C
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.
Question 3
Given the array below, a user wants a comma-separated string of all stat names. What is the correct expression?
Correct Answer: B
* 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.
Question 4
Which two actions are best practices for making a Fusion scenario easier to read, share and understand? (Choose two.)
Correct Answer: A,C
Step by Step Comprehensive Detailed Explanation: * Best Practices for Scenario Clarity: * Workfront Fusion scenarios can become complex. Adopting practices that enhance readability, shareability, and understanding ensures the scenario can be maintained and used effectively by others. * Option Analysis: * A. Naming all modules by providing short but relevant labels: * Correct. Proper naming helps identify the function of each module at a glance. For example, instead of generic names like "Project Search," use "Search High Priority Projects." * This makes it easier to debug, share, and update the scenario. * B. Insert Note Modules at the beginning of the scenario: * Incorrect. While notes are useful, inserting a Note module at the beginning is not always necessary unless clarification is required for the initial step. Adding notes throughout the scenario (Option C) is more beneficial. * C. Add notes where applicable to clarify what is happening: * Correct. Adding comments or notes helps explain the purpose of certain steps, making the scenario easier to understand for collaborators or when revisiting it in the future. * D. Attach the requirements document using the scenario settings: * Incorrect. Attaching a requirements document might be useful for reference but does not directly contribute to scenario readability or understanding within the interface. * Implementation Tips: * Use descriptive names for modules that clearly indicate their purpose (e.g., "Update Project Status" instead of "Update Record"). * Add comments or notes at decision points or complex mapping expressions to explain logic.
Question 5
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?
Correct Answer: C
* 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
