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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integration and Extensibility | 10% | - Integration Frameworks
|
| Topic 2: Deployment and Maintenance | 10% | - Build and Deployment Process
|
| Topic 3: Gosu Programming and Business Logic | 30% | - Gosu Language Basics
|
| Topic 4: InsuranceSuite Data Model | 25% | - Entities and Relationships
|
| Topic 5: PCF Configuration and UI Customization | 25% | - UI Components and Behavior
|
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NEW QUESTION # 124
According to best practices, which two requirements should be implemented using a Pre-Update Rule? (Select two)
Answer: B,C
Explanation:
Pre-Update Rules occupy a specific place in the Guidewire Rules Engine lifecycle. They execute after a user clicks " Update " but before the data is actually committed to the database. This makes them the ideal location for logic that needs to perform " cross-entity " synchronization or final data adjustments within the same transaction (the " Bundle " ).
Option A is a classic Pre-Update use case. If a developer needs to ensure that a change to one entity (a Contact) propagates to related entities (unissued Checks) in a single atomic transaction, the Pre-Update rule is the correct place. Because the system is already in the process of saving, any changes made to the checks in this rule will be included in the same database commit, ensuring data consistency.
Option C is another best practice. Since the Pre-Update rule runs while the system still has access to the " original " values of the fields in the database (via the bean ' s ChangedFields or OriginalValue properties), it is the last opportunity to generate an audit log or " History " entry that compares the old data with the new data before the old data is overwritten.
In contrast, Option B should be handled in a Post-Setup or Event Fired rule to ensure the workflow only starts if the database commit actually succeeds. Option D (Assignment) should be handled by the Assignment Engine, which has its own dedicated rule sets. Using Pre-Update rules for these tasks would violate the architectural separation of concerns and could lead to performance issues or data corruption.
NEW QUESTION # 125
Which GUnit base class is used for tests that involve Gosu queries in PolicyCenter?
Answer: A
Explanation:
When developing automated tests in Guidewire PolicyCenter, choosing the correct GUnit Base Class is essential for determining the scope and capabilities of the test.
For tests that involve Gosu Queries, the test must have access to the application's persistence layer and the database environment. PCServerTestClassBase is the standard base class used for these " Integration Tests. " When a test class extends PCServerTestClassBase, the GUnit runner initializes a full server environment, including the database schema and the Bundle management system. This allows the test to create data, commit it to a temporary transaction, and then execute Gosu queries against the database to verify the results.
In contrast, PCUnitTestClassBase (Option A) is intended for " Pure Unit Tests. " These tests are faster because they do not start the server or connect to the database. They are used for testing isolated logic or utility methods that do not rely on entity persistence. If a developer attempts to execute a query within a class extending PCUnitTestClassBase, the test will likely fail with a " No active bundle " or " Database not available " error. GUnitTestClassBase (Option D) is a generic base class and often lacks the PolicyCenter- specific configurations provided by the PC prefixed classes. Therefore, for any scenario requiring database interaction-which is fundamental to verifying Gosu queries-PCServerTestClassBase is the required architectural choice.
NEW QUESTION # 126
Succeed Insurance has information that they want to display on multiple pages with the same layout. Which PCF container types can be used to meet this requirement? (Choose 3)
Answer: B,C,E
Explanation:
One of the primary goals of PCF Configuration is modularity and reuse. Guidewire provides specific Container Widgets that allow developers to define a layout once and reference it in multiple locations throughout the application.
* DetailView (DV): This is the standard container for displaying field-value pairs, typically organized in columns. A DV can be defined as a standalone PCF file and then referenced on multiple pages (like a Policy File screen and a Claim Summary screen) using a DetailViewRef.
* ListView (LV): This container is used for tabular data or grids. Similar to DVs, LVs are often created as separate files so that the same table structure (with the same columns, sorting, and filtering) can be reused across different parts of the suite.
* InputSet: This is a more granular container used specifically within DetailViews. An InputSet allows a developer to group a set of related widgets (like an address block or a set of contact fields). By using an InputSetRef, a developer can ensure that the " Address Layout " is identical on every screen that requires it, drastically reducing maintenance time.
In contrast, Popups, LocationGroups, and Worksheets are classified as Locations, not containers. Locations define where a user is in the application (the URL or navigation state), whereas Containers (DV, LV, InputSet) define how the data is laid out inside those locations. Selecting these three containers allows for a " DRY " (Don ' t Repeat Yourself) development approach, which is a key best practice in InsuranceSuite Developer Fundamentals.
NEW QUESTION # 127
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: A
Explanation:
In Guidewire development, the preferred way to extend base entities with business logic or derived data is throughGosu 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 theGuidewire InsuranceSuite Developer Fundamentalsguide, any custom enhancement must be placed in acustomer-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 agetter 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:Asetteris used towritedata 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 # 128
During an implementation, which Git branch contains code across all releases including code under active development?
Answer: B
Explanation:
In the context of Source Control Management (SCM) for Guidewire implementations, especially within the Guidewire Cloud Platform (GWCP), a robust branching strategy is essential for coordinating work across multiple teams and releases.
The Mainline branch (sometimes referred to as the develop branch in Gitflow, though Guidewire training specifically uses the term " Mainline " ) serves as the primary integration point for all active development. It represents the " trunk " of the code tree where all completed features, bug fixes, and configuration changes are merged after passing initial testing. Because it contains the cumulative progress of all developers and workstreams, it acts as the source of truth for the current state of the application.
While Release branches (Option C) are used to stabilize a specific version of the code for deployment to UAT or Production, and the Master/Production branch (Options B and D) represents the code currently live in production, the Mainline is unique because it holds the code destined for future releases as well.
Following the SurePath methodology, developers create " Feature " or " User Story " branches from the Mainline. Once a story is complete and verified with GUnit tests, it is merged back into the Mainline. This ensures that the build chain in TeamCity is always testing the most recent, integrated version of the configuration. Maintaining the integrity of the Mainline branch is critical for the " Continuous Delivery " model required by the Guidewire Cloud.
NEW QUESTION # 129
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