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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

Understanding the Issue:

The customer is syncing20,000+ Salesforce Opportunitieswith Workfront projects using a scheduled Fusion scenario.

After running for 40 minutes, the scenario unexpectedly stops.

Why Option C is Correct:

Workfront Fusion Execution Timeout:

Fusion scenarios have a default execution timeout of40 minutesper run.

If the scenario exceeds this time limit, Fusion automatically stops the execution to avoid resource overuse.

Handling Large Data Sets:

Scenarios involving large datasets (like syncing 20,000+ records) may require optimizations, such as breaking the data into smaller chunks using paginated requests or iterators.

In this case, the scenario stopped because the execution timeout was reached, not due to API limits or webhook restrictions.

Why the Other Options are Incorrect:

Option A ("Workfront API call limit"):

While Workfront does have API rate limits, they are generally generous and not the reason for the scenario stopping. Fusion scenarios are designed to manage API calls efficiently.

Option B ("Fusion times out if processing over 2000 records in 40 minutes"):

This is incorrect because Fusion does not have a hard limit on the number of records processed in 40 minutes. The timeout is time-based, not record-based.

Option D ("Workfront API stops webhooks after 2000 hits in 10 minutes"):

This does not apply to Fusion scenarios. Webhooks are separate from the API calls initiated by Fusion.

How to Resolve the Issue:

Split the Data: Use pagination or batch processing to divide the 20,000+ records into smaller chunks (e.g., 1,000 or 2,000 records per run).

Adjust Scheduling: Schedule the scenario to run more frequently with smaller batches, ensuring all records are synced over multiple runs.

Use Iterators: Add an Iterator module to loop through smaller subsets of data, preventing the scenario from exceeding the execution timeout.

Steps to Optimize the Scenario:

Add aSearch Moduleto retrieve opportunities in smaller batches (e.g., using limits or pagination parameters).

Use aRepeater Moduleto process each batch iteratively.

Save the scenario and schedule it to run nightly or more frequently, depending on the sync requirements.

References and Supporting Documentation:

Adobe Workfront Fusion: Execution Timeout Limits

Workfront Community: Managing Large Data Sets in Fusion Scenarios

By optimizing the scenario to handle smaller batches of data, the admin can avoid the execution timeout issue and ensure successful syncing of Salesforce Opportunities with Workfront projects.

Understanding the Requirement:

The project name in Workfront must include:

Purchase Order Number (PO#).

Name of the product.

PO Fulfillment Date (formatted as YY/MM/DD).

If a discount is provided, append the discount percentage and the approver's last name in the format: 15% Discount - UserLast.

Example Output:

sql

Copy

2837 - Compendium-Premium Running Shoes - 21/02/16 - 15% Discount - UserLast

Why Option A is Correct:

The expression in Option A achieves the desired result step-by-step:

3.PO#: Includes the PO number.

3.Name: Appends the name of the product.

formatDate(3.PO Fulfillment Date, YY/MM/DD): Formats the PO Fulfillment Date in the desired YY/MM/DD format.

if(3.Discount Provided? = "Yes"; "- " + 3.Discount % + " Discount - " + 3.Approver Last Name):

Uses the if function to check if a discount was provided.

If "Yes," it appends the discount percentage (3.Discount %) and approver's last name (3.Approver Last Name) with the required format.

Why the Other Options are Incorrect:

Option B:

The expression is incorrect because it places if(3.Discount Provided?...) directly after PO Fulfillment Date without using formatDate for date formatting. This results in an unformatted date.

Option C:

Uses parseDate instead of formatDate, which is incorrect in this context. parseDate is used to interpret strings as dates, not to format dates for output.

Option D:

The expression does not include any conditional logic for checking if a discount is provided. It simply appends Discount - Approver Last Name regardless of whether a discount was given.

Steps to Use the Expression in Workfront Fusion:

Place the expression in the module that defines the project title in Workfront.

Map the fields (PO#, Name, PO Fulfillment Date, etc.) to the respective columns from the CSV data.

Test the scenario to ensure the output matches the desired format.

Final Expression (Option A):

3.PO# + " - " + 3.Name + " - " + formatDate(3.PO Fulfillment Date; YY/MM/DD) + if(3.Discount Provided? = "Yes"; " - " + 3.Discount % + " Discount - " + 3.Approver Last Name)

References and Supporting Documentation:

Adobe Workfront Fusion Functions Documentation

Workfront Community: Handling Conditional Logic and Date Formatting

Understanding the Requirement:

The field data from a third-party system needs to be transformed into one of three possible choices.

This transformation implies conditional logic, where the output depends on the value of the input field.

Why Option A ("Switch") is Correct:

TheSwitchfunction evaluates a given input against multiple cases and outputs a corresponding value based on the matched condition.

For example:

switch(field, "value1", "choice1", "value2", "choice2", "defaultChoice")

If field equals "value1", the output is "choice1".

If field equals "value2", the output is "choice2".

If no conditions match, the output is "defaultChoice".

This functionality perfectly fits the requirement to transform the input into one of three possible choices.

Why the Other Options are Incorrect:

Option B ("Slice"):

The slice function is used for extracting a portion of a string or array but does not support conditional transformations.

Option C ("Split"):

The split function divides a string into an array based on a specified delimiter. It is not designed for conditional logic or value mapping.

How This Solves the Problem:

The Switch function allows flexible and dynamic transformations, ensuring the field data is mapped to the correct choice based on its value.

References and Supporting Documentation:

Adobe Workfront Fusion Functions Documentation

Workfront Community: Using the Switch Function for Conditional Logic

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.

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.

Step by Step Comprehensive Detailed Explanation:

Understanding the Error:

The error message [403] The caller does not have permission is aGoogle API permission error.

It typically indicates that the user or application does not have the required access rights to perform the requested action on the Google Slide presentation.

Option Analysis:

A. Reauthorize their Google connection:

This step might be necessary if the user's credentials or token have expired, but this is not the primary issue here since the error specifically states apermission problem.

B. Update Google sharing permissions for the document:

Correct. The error suggests that the Google Slide document has not been shared with the user or service account being used in Fusion. Updating the sharing settings to grant proper permissions (e.g., "Editor" or "Viewer" access) will resolve the issue.

C. Contact Workfront Support to troubleshoot the root cause:

While Workfront Support can help with Fusion-related issues, this error originates from Google and is unrelated to Workfront's systems.

D. Search the Google status site to determine the cause:

The Google status site is useful for identifying system-wide outages, but this is a user-specific permission issue, not a Google platform-wide problem.

Steps to Resolve:

Open the Google Slide presentation.

Update the sharing permissions:

Grant access to the Google account or service account being used in Fusion.

Ensure the account has at leastEditoror appropriate access rights.

Save the changes and rerun the Fusion scenario.

Why Updating Permissions is Best:

This action directly addresses the root cause of the error, which is inadequate access rights.

Once permissions are updated, Fusion will be able to connect to and manipulate the Google Slide document as intended.

References:The [403] The caller does not have permission error is documented in Google API troubleshooting guides, which recommend verifying and updating document sharing settings for resolving access issues.

Understanding the Expression:

The provided expression uses the ifempty function:

ifempty(2.data:types[]; "No Type")

Structure of the Expression:

The first parameter, 2.data:types[], is an array being checked for content.

The second parameter, "No Type", is the fallback value returned if the array is empty or undefined.

Purpose of ifempty: This function checks if the given value is empty or undefined. If the value is not empty, it returns the value. If the value is empty, it returns the fallback text ("No Type").

Expected Module Outputs:

A. Non-empty array:

If 2.data:types[] is a non-empty array, the function returns the array as-is.

C. Text value 'No Type':

If 2.data:types[] is empty or undefined, the function returns the fallback text value "No Type".

Why the Other Options are Incorrect:

Option B ("An empty field"):

The ifempty function does not return an empty field. If the value is empty, it substitutes it with the fallback text ("No Type").

Option D ("Collections comma separated"):

The function operates on arrays, but it does not format the output as comma-separated collections. The raw array is returned if non-empty.

Key Use Cases:

This type of function is frequently used in Workfront Fusion to handle situations where data might be missing or incomplete, ensuring scenarios continue to run smoothly without errors caused by undefined or empty fields.

Example Outputs:

If 2.data:types[] = ["Type1", "Type2"]: The function returns ["Type1", "Type2"].

If 2.data:types[] = [] or undefined: The function returns "No Type".

References and Supporting Documentation:

Adobe Workfront Fusion Functions Reference

Workfront Community: Handling Empty Fields with ifempty

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.

Understanding the Requirement:

The user wants to enableresource sharingin Fusion, includingconnections,data stores, andkeys.

Resource sharing is necessary to allow multiple scenarios or users to access shared resources efficiently within the same Fusion environment.

Why Option B ("Create a new team") is Correct:

Teams in Fusion:

Teams are a feature in Adobe Workfront Fusion designed to group users together within an organization.

By creating ateam, you can enableshared accessto resources such as API connections, data stores, and authentication keys, streamlining collaboration and avoiding duplication.

Resource Sharing with Teams:

All members of the team can access shared resources (e.g., connections), allowing consistent and collaborative scenario development and execution.

Example: If multiple users within a team need to use the same API connection, creating a team allows the connection to be configured once and shared among all team members.

Why the Other Options are Incorrect:

Option A ("Create a new group"):

Groups in Fusion are used primarily for organizing scenarios or categorizing users but do not inherently allow sharing of resources like connections or keys. Groups lack the resource-sharing functionality of teams.

Option C ("Create a new organization"):

Organizations in Fusion represent the highest-level administrative entity. While creating an organization allows resource sharing among all users within the organization, it is not the recommended solution for managing resource sharing in smaller or more focused groups, such as project teams.

Steps to Create a New Team and Share Resources:

Log in to Adobe Workfront Fusion.

Navigate to theAdmin PanelorTeam Managementsection.

SelectCreate a New Teamand provide a name for the team.

Assign users to the team by adding their Fusion accounts.

Configure shared resources (e.g., connections, data stores, keys) to be accessible by the team.

Save the settings, and all team members will now have access to the shared resources.

How This Solves the Problem:

Creating a team ensures that all resources, such as connections, data stores, and keys, are accessible to team members without requiring individual duplication or configuration. It simplifies collaboration and promotes consistency across scenarios.

References and Supporting Documentation:

Adobe Workfront Fusion: Teams Overview

Workfront Community: Managing Teams and Resource Sharing