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| Section | Objectives |
|---|---|
| Data Model and Metadata Structures | - Define and extend the application business objects schema
|
| Developing in the Cloud and Best Practices | - Align software modifications with Guidewire Cloud implementation standards
|
| User Interface and PCF Configuration | - Configure Page Configuration Format (PCF) components and layouts
|
| Gosu Rules and Programming Logic | - Implement business logic and rule sets using the Gosu programming language
|
>> Standard InsuranceSuite-Developer Answers <<
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NEW QUESTION # 84
In ClaimCenter, the Desktop- > Claims page contains a ListView that is backed by a View Entity ClaimDesktopView.eti. The company would like to add a column to the Claim Validation Level in this List View. Following best practice, which of the following steps are required to fulfill this requirement?
Answer: C
Explanation:
View Entities (.eti files ending in View) are specialized data model objects used to provide high-performance, read-only data for ListViews. They function similarly to a SQL View, joining multiple tables to retrieve only the specific fields needed for a display grid.
When extending a base view entity like ClaimDesktopView, standard data model tags like column or typekey (Option B) are not used. Instead, Guidewire provides a specific set of " View Entity " tags. Because ValidationLevel is a typelist on the Claim entity, the correct tag to use in the .etx file is viewEntityTypekey (Option C). This tag tells the platform that the field is derived from a typelist and ensures that the UI renders it with the correct localized display names and icons.
The path attribute is equally critical; it defines the " traversal " from the view entity to the source data. Since ClaimDesktopView typically has a link to the Claim entity, the path Claim.ValidationLevel correctly instructs the system to pull the value from the related Claim record. While best practices for standard entities usually mandate the _Ext suffix, view entities often mirror the base field name for clarity unless a collision occurs.
However, the use of the viewEntityTypekey tag is the fundamental architectural requirement for this task, as computedTypekey and computedColumn (Options A and D) are intended for logic-heavy Gosu expressions rather than simple database-backed path traversals.
NEW QUESTION # 85
Which GUnit base class is used for tests that involve Gosu queries in PolicyCenter?
Answer: A
Explanation:
In theGuidewire System Health & Qualitytraining, understanding the hierarchy of GUnit base classes is essential for writing effective automated tests.
While GUnitTestClassBase (Option A) provides basic testing functionality, it does not necessarily initialize the full application server environment or the database connection required for complex operations. For tests that require thefull Guidewire stack-including the ability to executeGosu queriesagainst the database or interact with the bundle-developers must usePCServerTestClassBase(Option D) in PolicyCenter (or CCServerTestClassBase in ClaimCenter).
This base class ensures that:
* The Guidewire Application Server environment is "mocked" or started.
* The current user session is authenticated.
* The database transaction manager (Bundles) is available for queries and commits.
Using a lower-level base class for a query-based test would result in a NullPointerException or a NoSessionException because the Query API requires an active server context to translate Gosu into SQL.
NEW QUESTION # 86
A developer has modified the DesktopActivities list view in ClaimCenter to add a date cell to display the claim date of loss for each row. The list view is backed by the view entity ActivityDesktopView. The screenshot provided shows the current configuration of the new date cell with the value ActivityDesktopView.Claim.LossDate.
Which action should be taken to configure the date cell to follow best practices?
Answer: D
Explanation:
In Guidewire InsuranceSuite, View Entities are specialized data model objects designed specifically for high- performance data retrieval in ListViews (LVs). Unlike standard entities, View Entities act similarly to database views, allowing the application to fetch a flattened set of data from multiple related tables in a single, optimized SQL query.
According to PCF Configuration and Data Model best practices, when a developer adds a column to a ListView backed by a View Entity, the value for that cell should ideally be a direct property of the View Entity itself. In the provided screenshot, the developer is using " dot-traversal " logic: ActivityDesktopView.
Claim.LossDate. This configuration requires the UI engine to traverse from the View Entity to the related Claim entity for every single row rendered in the list. While functional, this creates a significant performance overhead, as it can lead to " N+1 " query problems or inefficient memory usage when the list contains a large number of activities.
The verified best practice is to Extend the view entity (via an .etx file) to include the desired field. By adding a viewEntityColumn or viewEntityTypekey to ActivityDesktopView with a path of Claim.LossDate, the Guidewire platform includes this data in the initial projection of the SQL query used to populate the list.
Consequently, the ListView can access the date directly as ActivityDesktopView.LossDate_Ext. This architectural approach ensures that the user interface remains responsive and follows the SurePath performance standards required for both on-premise and Cloud-native Guidewire implementations.
NEW QUESTION # 87
Which of the following are true about Guidewire Inspections?
Answer: C
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 # 88
An insurance carrier plans to launch a new product for various types of Recreational Vehicles (RVs)-such as motorhomes, boats, motorcycles, and jet skis. When collecting information to quote a policy, all RVs share some common details (like purchase date, price, year, make, and model), but each type also has its own unique properties. According to best practices, what should be done to configure the User Interface so that only the relevant RV details are shown when creating a policy quote? Select Two
Answer: A,D
Explanation:
In the Guidewire Page Configuration Framework (PCF), the primary goal for handling polymorphic data- such as a base Recreational Vehicle entity with various subtypes-is to maximize code reuse while providing a dynamic user experience. According to theInsuranceSuite Developer Fundamentalscourse, the best practice for this scenario involves a "Master-Detail" design pattern utilizingModal PCFs.
The first step (Option D) is to create a primaryDetail View (DV). This DV acts as the foundation for the UI and contains all the fields that are shared across all RV types, such as PurchaseDate, Price, and Model. By centralizing these common fields, the developer ensures that any global changes to RV data (like adding a
"Condition" field) only need to be made in one place, rather than across multiple fragmented pages.
The second step (Option E) addresses the unique properties of each RV type. Rather than cluttering the main DV with every possible field and using complex "visible" expressions (which is what Option C suggests and is discouraged due to performance and maintenance overhead), developers should use anInput Set Refwith theModeproperty set. Each specific RV type (e.g., Boat, Motorcycle) has its own separate Input Set. At runtime, the Guidewire application looks at the RV type of the current object and automatically renders the corresponding Input Set. This "Modal" approach is the standard architectural way to handle subtypes in PolicyCenter and ClaimCenter. Options A, B, and F are incorrect because they either introduce unnecessary navigation complexity or fail to leverage the built-in dynamic rendering capabilities of the PCF framework.
NEW QUESTION # 89
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