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| Section | Weight | Objectives |
|---|---|---|
| Deployment and Maintenance | 10% | - Build and Deployment Process
|
| InsuranceSuite Data Model | 25% | - Data Extensions and Customization
|
| Integration and Extensibility | 10% | - Integration Frameworks
|
| Gosu Programming and Business Logic | 30% | - Gosu Language Basics
|
| PCF Configuration and UI Customization | 25% | - UI Components and Behavior
|
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NEW QUESTION # 23
A developer runs Database Consistency Checks for a new ClaimCenter release in a QA environment running a copy of the production database. Analysis of the output identifies data errors in both the QA and production data. Which two options follow best practices for correcting the data? (Select two)
Answer: C,E
Explanation:
Maintaining data integrity is the highest priority in a Guidewire implementation. WhenDatabase Consistency Checksidentify errors that exist in the production environment, the resolution process must be rigorous, audited, and safe.
According to theGuidewire System Health & Qualitycurriculum, developers should never attempt to fix production data errors using "ad-hoc" methods like Scratchpad (Option B) or standard Import utilities (Option C), as these bypass the complex referential integrity and validation logic inherent in the application.
Instead, the best practice involves two paths. First, for errors rooted in complex application logic, the developer shouldwrite a Gosu script and request a review from Guidewire Support(Option D). Guidewire Support provides a "Data Fix" service to ensure the script won't have unintended side effects on the database schema or application stability.
Second, if the error is purely at the database level (e.g., a broken foreign key or orphan record), the developer shouldwork with the insurer's database group to create a SQL script(Option E). However, this scriptmust be tested in a QA environment(that uses a copy of production data) before execution to verify that it correctly resolves the consistency check failure without damaging other data relationships. Option A is incorrect because "Production Data Fix Tool" is not a standard standalone tool name provided in the base product for this purpose.
NEW QUESTION # 24
This sample code uses array expansion with dot notation and has performance issues:
What best practice is recommended to resolve the performance issues?
Answer: D
Explanation:
In the Guidewire InsuranceSuite Developer training, specifically within theAdvanced Gosumodules, the
"Array Expansion Operator" (*.) is identified as a double-edged sword. While it provides a clean, declarative syntax for gathering properties from an array of objects into a new collection, it is a common source of performance degradation in complex configurations.
The technical reason for this performance hit is that every time the expansion operator is invoked, Gosu must create anintermediate, temporary collectionin memory to hold the projected values. If you are expanding multiple levels (e.g., Claim.Exposures*.Contacts*.Address), the system is essentially building multiple
"throwaway" lists in the application server's heap. For large datasets, this leads to high memory overhead and triggers frequent garbage collection cycles, which slows down the entire application.
Guidewire's official recommendation is torewrite the code using a nested for loop(Option A). By using explicit procedural iteration, the developer eliminates the need for these hidden intermediate collections. A nested loop allows for "streaming" the data-processing each item as it is reached rather than collecting everything into a list first. This is significantly more memory-efficient. Additionally, nested loops allow developers to integrate "early exit" logic or filters that can prevent the system from even attempting to load certain records from the database, further optimizing the transaction. Following this best practice ensures that the code is not only easier to debug using the Guidewire Profiler but also scales predictably as the insurer's data volume grows.
NEW QUESTION # 25
An insurer stores the date a company was established in the company records. A business analyst identified a new requirement to calculate a company ' s years in business at the time a loss occurred. The years in business will be determined using the date established field and the claim date of loss.
The image below shows the Contact structure in the data model:
Which configuration steps will satisfy the requirement? (Select two)
Answer: F
Explanation:
In Guidewire development, the preferred way to extend base entities with business logic or derived data is through Gosu Enhancements. This approach allows you to add properties or methods to an entity that appear as if they were part of the original class.
1. Enhancement Location and Package (Option A)
According to the Guidewire InsuranceSuite Developer Fundamentals guide, any custom enhancement must be placed in a customer-specific package (e.g., si.pc.contact for Succeed Insurance). Using the gw package (Options D and E) is strictly prohibited as it is reserved for Guidewire ' s internal product code. Because " Date Established " is specific to the Company entity (as indicated in the Contact hierarchy), the enhancement should target the Company entity directly.
2. Using a Getter Property (Option G)
The requirement is to " calculate " a value based on existing data. The most efficient and readable way to implement this in Gosu is via a getter property (property get). Unlike a standard function (Option B), a getter property allows you to access the value in PCFs or rules using simple dot notation (e.g., myCompany.
YearsInBusiness_Ext), making the code cleaner and more maintainable.
Why other options are incorrect:
* Option B: While a function would technically work, a getter property is the best practice for a value that logically represents a " read-only " attribute of the entity.
* Option C: A setter is used to write data to a field. Since " Years in Business " is a derived calculation, it should not be manually set; it should be calculated on-the-fly from the source date fields.
* Options D and E: As mentioned, these use the gw package, which violates upgrade-safety standards and would cause the " Cloud Assurance " checks to fail.
By creating a Company enhancement in the customer ' s package and providing a property get, the developer creates a reusable, performant solution that follows the platform ' s core architectural principles.
NEW QUESTION # 26
A developer needs to prepare their local configuration changes for inclusion in the shared Bitbucket repository. According to the training, which actions, performed using Git-based commands in a GWCP context, are essential for this process? (Choose 3)
Answer: A,C,E
Explanation:
In the context of Developing in the Cloud and using the Guidewire Cloud Platform (GWCP), managing source code follows standard Git-based workflows integrated with Atlassian Bitbucket. For a developer to successfully share their local configuration changes with the rest of the team, they must follow a sequence that ensures code integrity and avoids " merge hell. " The first essential step is Committing the changes locally (Option B). This records the developer ' s progress in their local repository ' s history. However, because other developers may have pushed changes to the shared repository in the meantime, the developer must synchronize their local environment. This is achieved by Pulling the latest changes from the remote repository and rebasing (Option A). Rebasing is preferred in the Guidewire curriculum because it creates a clean, linear project history by moving the developer ' s custom commits to the " tip " of the updated master or feature branch. Finally, once the local branch is current and all conflicts are resolved, the developer must Push the finished branch to the remote Bitbucket repository (Option E). Only after the code is in Bitbucket can it be picked up by TeamCity for automated building and testing.
Deploying to a planet (Option C) and creating build schedules (Option D) are downstream activities that occur after the code has been successfully merged into the shared repository. Similarly, Quality Gates (Option F) are pre-configured environment standards rather than a step in the Git commit-and-push workflow. Adhering to the commit-rebase-push cycle is the verified best practice for collaborative cloud development.
NEW QUESTION # 27
The Panel Ref in the screenshot below displays a List View with a toolbar. Add and Remove buttons have been added to the toolbar, but they appear in red, indicating an error. The Row Iterator has toAdd and toRemove buttons correctly defined.
What needs to be configured to fix the error?
Answer: A
Explanation:
In Guidewire InsuranceSuite PCF Configuration, maintaining the logical connection between UI widgets is fundamental to a functional interface. A common pattern in Guidewire applications involves a PanelRef that contains both a Toolbar and a ListView. When standard buttons such as Add or Remove are placed on a toolbar to manipulate the data within an associated list, they must be explicitly linked to the specific RowIterator that governs that list.
Even if the RowIterator itself has the necessary logic defined in its toAdd and toRemove properties (which specify the Gosu code to execute when an item is added or deleted), the Toolbar buttons remain " contextless
" until their iterator property is configured. In Guidewire Studio, these buttons appear in red to indicate a validation error because the system does not know which collection of data the buttons are intended to act upon. By setting the iterator property of the Add and Remove buttons to match the ID of the RowIterator in the ListView, the developer establishes the required bridge.
This configuration is a core part of Container Widget Usage and PCF Architecture. Without this link, the system cannot determine which object should be passed to the toAdd logic or which selected row should be passed to the toRemove logic. Proper configuration ensures that the buttons are only active when the appropriate RowIterator is in scope and that the application maintains data integrity during UI-driven array modifications. Following this best practice allows the Studio compiler to validate the action and ensures a seamless user experience where toolbar actions correctly target the intended data set.
NEW QUESTION # 28
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