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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: InsuranceSuite Data Model | 25% | - Entities and Relationships
|
| Topic 2: Gosu Programming and Business Logic | 30% | - Rules, Events, and Logging
|
| Topic 3: Integration and Extensibility | 10% | - Integration Frameworks
|
| Topic 4: PCF Configuration and UI Customization | 25% | - Page Configuration Files (PCF)
|
| Topic 5: Deployment and Maintenance | 10% | - Build and Deployment Process
|
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NEW QUESTION # 123
In the screenshot below
A developer has added a tab labeled Delinquencies to the tab bar of BillingCenter. This tab will contain several pages. The first page in the tab will display a summary of the currently-selected delinquency, the second page will show the associated policy, and the third page will show the associated account.
What PCF container will be used to configure this requirement?
Answer: B
Explanation:
In the Guidewire Page Configuration Framework (PCF), locations are organized into a hierarchical structure to manage navigation and user context. When a requirement involves grouping multiple related pages under a single entry point-such as a Tab in the Tab Bar or a sidebar menu-the correct container to use is a Location Group.
1. The Role of a Location Group
A Location Group is a " non-leaf " node in the PCF navigation tree. It does not display content itself; instead, it contains other locations (Pages, Popups, or even other Location Groups). In the context of the " Delinquencies " tab, the Location Group serves as the parent container that defines:
* The Tab entry in the top-level navigation.
* The list of child pages (Summary, Policy, Account).
* The navigation menu (usually appearing on the left side of the screen) that allows users to switch between these three pages.
2. Why Other Options are Incorrect
* Option A (Location Ref): This is a widget inside a container (like a Location Group or a Section) that simply points to another location. It is a " pointer, " not the organizational container itself.
* Option C (Location Ref Iterator): This is used to dynamically generate a set of links or locations based on an array of data (e.g., a tab for each Open Claim). It is not the standard way to define a static three- page tab structure.
* Option D (Location): This is a generic term that encompasses Pages, Popups, and Worksheets. A single
" Location " (specifically a Page) can only display one set of data. It cannot manage the multiple-page navigation required by the " Delinquencies " tab.
According to the InsuranceSuite Developer Fundamentals guide, using a Location Group ensures that the user
' s context (like the selected Delinquency ID) is maintained as they click through the different sub-pages within that group. This provides a seamless UX where the application " remembers " which record is being inspected even as the view changes.
NEW QUESTION # 124
A business analyst has a new requirement for an additional filter on Desktop Activities. Which two options can be used to filter a query-backed ListView? (Select two)
Answer: B,D
Explanation:
In Guidewire PCF development, filtering aquery-backed ListView(one that uses a QueryProcessor) must be done efficiently to avoid loading thousands of records into memory. According to theInsuranceSuite Developer Fundamentalscourse, the standard tool for this is theToolbarFilterwidget.
AToolbarFilteracts as a container for one or moreToolbarFilterOptionwidgets (Option C). Each option represents a choice in the dropdown menu for the user. To ensure performance, specifically for query-backed lists, the developer should use aGosu standard query filter(Option B) in the filter property. Unlike a "bean filter," which filters objects already in memory, a query filter allows the Guidewire platform to modify the underlying SQL statement. This ensures that only the records matching the selected filter are ever retrieved from the database, significantly reducing the application server's load.
Options D and E are "anti-patterns." Manual looping or creating custom arrays bypasses the optimized Query API, leading to "OutOfMemory" errors or severe performance degradation when dealing with large volumes of data, such as an insurer's entire set of desktop activities.
NEW QUESTION # 125
A developer has completed a configuration change in an InsuranceSuite application on their local environment. According to the development lifecycle described in the training, which initial steps are required to move this change towards testing and deployment? Select Two
Answer: A,D
Explanation:
The Guidewire Cloud Platform (GWCP) development lifecycle is built around a modern CI/CD (Continuous Integration/Continuous Delivery) pipeline. This process moves code from a developer ' s local workstation through various " Planets " (environments) using integrated tools like Bitbucket, TeamCity, and Guidewire Home.
The first step in moving a local change toward production is committing and pushing the code to Bitbucket (Option C). Bitbucket serves as the centralized Git-based source code repository. This action triggers the " Build " phase of the lifecycle. Once the code is in Bitbucket, the next step involves the CI server, TeamCity.
TeamCity is responsible for compiling the Gosu code, running automated GUnit tests, and performing static code analysis (Quality Gates). While TeamCity is often configured to trigger automatically upon a push, a developer may need to manually trigger or monitor the build via Guidewire Home (Option D) if they need immediate feedback or if the automation is set to a specific schedule.
Options such as " Deploying directly to pre-production " (Option A) are impossible in the GWCP model, as code must first pass through the " Dev " planet and satisfy quality gates before being promoted. " Scheduling automated builds " (Option B) is an administrative task, not an initial step for a developer ' s specific change.
Finally, " creating a star system " (Option E) refers to the infrastructure setup usually handled by Guidewire Cloud operations, not a part of the standard code-change lifecycle. Following the C and D sequence ensures that the code is properly versioned, tested, and validated before it ever reaches a runtime environment.
NEW QUESTION # 126
An insurer wants to determine how many activities have been generated to review a denial decision with an Account Manager. A developer has written this query:
uses gw.api.database.Query
var queryResults = Query.make(Activity).select().toCollection().where(
\ act - > act.ActivityPattern.Code == " account_denial " )
This query does not perform as well as it should. Where should the results be filtered to follow best practices?
Answer: A
Explanation:
In Guidewire InsuranceSuite, the performance of an application is heavily dependent on how efficiently it interacts with the database. The Gosu Query API is designed to allow developers to retrieve exactly the data they need by translating Gosu logic into optimized SQL statements.
The developer's current approach in the code snippet is a significant anti-pattern. By calling .select().
toCollection(), the system executes a broad SQL query that retrieves every single record from the Activity table and loads them into the application server ' s memory (the " Bundle " ). Only after these potentially thousands of records are in memory does the .where() block filter them. This causes high memory consumption, increased network latency, and unnecessary pressure on the application server's garbage collector.
According to the Gosu Queries lesson in the InsuranceSuite Developer Fundamentals course, the best practice is to filter results In the database (Option D). This is achieved by using the compare() or join() methods on the Query object before calling .select(). For example, using query.compare(Activity#ActivityPattern, Equals, myPattern) ensures that the filtering is handled by the database engine via a SQL WHERE clause.
Consequently, only the specific records that match the " account_denial " criteria are sent over the network and loaded into memory. Following this practice minimizes the data " payload, " reduces the execution time of the logic, and ensures the application remains scalable even as the volume of activities grows over time.
Adhering to database-side filtering is a core requirement for passing Quality Gates in Guidewire Cloud environments.
NEW QUESTION # 127
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: F
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 # 128
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