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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integration and Extensibility | 10% | - Integration Frameworks
|
| Topic 2: Gosu Programming and Business Logic | 30% | - Rules, Events, and Logging
|
| Topic 3: InsuranceSuite Data Model | 25% | - Data Extensions and Customization
|
| Topic 4: Deployment and Maintenance | 10% | - Build and Deployment Process
|
| Topic 5: PCF Configuration and UI Customization | 25% | - Page Configuration Files (PCF)
|
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NEW QUESTION # 73
Succeed Insurance has a page in PolicyCenter with a large fleet of vehicles. They want multiple filters to show only a subset of vehicles. Which methods follow best practices?
Answer: B
Explanation:
When dealing with alarge fleet of vehicles, performance is the primary concern. Retrieving thousands of vehicle records and filtering them in the application server's memory (Options E and F) is a high-risk anti- pattern that leads to latency and high memory consumption.
The best practice for implementing efficient UI filters on large datasets is to useGosu Standard Query Filters (Option C). These filters are added to the ListView's toolbar. When a user selects a filter (e.g., "Only Heavy Trucks"), the Guidewire platform translates that filter into a SQL WHERE clause. This allows thedatabaseto do the work, returning only the specific subset of vehicles requested. This "Database-First" approach ensures that the application server remains responsive and that the network traffic between the database and the application is kept to a minimum.
Option A (filtering on the Row Iterator) and Option B (using "visible" properties) still require the system to fetch all the data from the database first, which does not solve the underlying performance issue. Using Query Filters is the only scalable solution for InsuranceSuite applications managing high-volume data.
NEW QUESTION # 74
Succeed Insurance is developing multiple policy lines of business (LOB). The LOBs they are implementing are Homeowners (HO), Commercial Auto (CA), and Personal Auto (PA). They want to show key data elements of these LOBs on the exposure screen in ClaimCenter. To support this, you will need to modify the ExposureDetailDV container to support the different LOBs. Following best practices, which of the following implementations should be used?
Answer: B
Explanation:
In Guidewire InsuranceSuite, when a single location must display significantly different content based on a specific property-such as a Line of Business (LOB)-the recommended architectural pattern is to use PCF Modes. While visibility logic (Option A or B) can technically hide or show elements, it leads to " bloated " PCF files that are difficult to maintain and performance-heavy, as the system must evaluate complex Boolean expressions for every element in the container.
Using Modes allows a developer to create multiple versions of an InputSet (or other containers) that share the same name but have different " Mode " identities (e.g., HO, CA, PA). In the parent configuration file (ExposureDetailDV), the developer adds a single InputSetRef. Instead of pointing to a static file, the def attribute points to the shared name of the InputSet, and the mode attribute is set to a dynamic expression, such as Exposure.Claim.LOBCode. At runtime, Guidewire ' s UI engine evaluates this expression and " swaps in " the specific PCF that matches the mode. If no specific mode matches, the system gracefully falls back to the Default mode. This approach promotes modularity, encapsulates LOB-specific logic within separate files, and ensures that the main ExposureDetailDV remains clean and readable. This is a core tenet of PCF Architecture and Dynamic UI management within the InsuranceSuite Developer curriculum.
NEW QUESTION # 75
Which of the following are true about Guidewire Inspections?
Answer: A
Explanation:
Guidewire Inspections are a form of static code analysis integrated directly into Guidewire Studio (which is built on the IntelliJ IDEA platform). These inspections are designed to help developers identify code smells, performance bottlenecks, and violations of Gosu Coding Standards in real-time.
The most important operational fact about inspections (Option E) is that they run automatically as a background task within the Gosu editor. As a developer types code, the IDE continuously analyzes the syntax and logic. If a violation is found-such as an unused variable, a potentially null reference, or an inefficient query-the editor provides immediate visual feedback through highlights (like yellow warnings or red errors) and " gutter " icons. This allows for " Shift-Left " quality management, where issues are corrected the moment they are created, rather than during a later build or code review phase.
While Option C is technically true (profiles can be customized), Option E is the primary characteristic of the tool's behavior as described in the System Health and Quality training. Option B is false because Guidewire provides hundreds of out-of-the-box inspections specifically tailored for InsuranceSuite (e.g., checking for PII in logs or inefficient bundle usage). Option D is incorrect as the primary mode of interaction is the IDE, not a command-line tool. By leveraging these automatic background inspections, developers maintain a high level of code quality and adhere to the SurePath methodology throughout the development lifecycle.
NEW QUESTION # 76
ABPersonVendor is an entity in the base application. An insurer needs to add a new person vendor type for auditors. Which configuration fulfills the requirement and follows the best practices?
Answer: B
Explanation:
In the Guidewire Data Model, representing specialized versions of existing objects is handled throughEntity Inheritance (Subtyping). In this scenario, an "Auditor" is a specific type of "Person Vendor." While they likely share the core attributes of a person vendor (name, tax ID, address), they may have specific requirements or behaviors unique to their role.
According to Guidewire best practices, when you need to create a specialized category of a base entity that requires its own distinct identity or specific additional fields, you should create aSubtype. Option B is the correct implementation: creating ABAuditor_Ext.eti and defining its supertype as ABPersonVendor. This allows the Auditor to inherit all fields, arrays, and foreign keys from the parent vendor entity while allowing the developer to add auditor-specific logic. The use of the .eti extension is correct for defining the new subtype entity, and the _Ext suffix follows the mandatory naming convention for custom extensions.
Option A (adding a column) is less flexible because it doesn't allow for the object-oriented benefits of subtyping, such as specific type-checking in Gosu. Option C (foreign key) creates a "Has-A" relationship rather than an "Is-A" relationship, which complicates the data model and UI logic. Option D is incorrect because an .etx file is used to add fields to anexistingentity, not to define a new specialized entity type.
Subtyping ensures that the "Auditor" can be used anywhere a "Person Vendor" is expected, providing clean, polymorphic behavior across the InsuranceSuite applications.
NEW QUESTION # 77
Which two performance issues of Guidewire core products can be analyzed using the Guidewire Profiler?
(Select two)
Answer: C,E
Explanation:
The Guidewire Profiler is a diagnostic tool designed to help developers identify and resolve performance bottlenecks within the application. It captures detailed " stacks " of execution, showing exactly how much time is spent in Gosu logic, PCF rendering, and database queries.
According to the System Health & Quality training, the Profiler is primarily triggered through specific entry points. The User Interface (Option A) is the most common entry point; by enabling the profiler for a specific web session, a developer can analyze the performance of individual PCF pages, identifying slow-loading widgets or inefficient page queries. Batch Processes (Option B) are the second critical entry point. Since batch jobs (like the Billing/Claims renewal cycles or escalation tasks) often process massive amounts of data, profiling them allows developers to see where the job is lagging-whether it is in the " find " logic or the " execution " logic.
Options C and D are incorrect because the Profiler does not directly analyze the Database Index or the Data Warehouse as standalone entities. While the Profiler can show that a query is slow, determining why (such as a missing index) requires external database management tools or Guidewire's Database Health tools.
Similarly, Client Reflection (Option E) is a UI behavior that occurs in the browser, whereas the Profiler tracks server-side execution. Mastering the use of the Profiler for UI and Batch processes is a fundamental skill for maintaining high system quality in production.
NEW QUESTION # 78
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