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| Section | Objectives |
|---|---|
| Topic 1: Developing in the Cloud and Best Practices | - Align software modifications with Guidewire Cloud implementation standards
|
| Topic 2: Data Model and Metadata Structures | - Define and extend the application business objects schema
|
| Topic 3: Gosu Rules and Programming Logic | - Implement business logic and rule sets using the Gosu programming language
|
| Topic 4: User Interface and PCF Configuration | - Configure Page Configuration Format (PCF) components and layouts
|
>> Valid InsuranceSuite-Developer Test Notes <<
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NEW QUESTION # 22
ACME Insurance requires that addresses are validated through a postal service in all insurance products.
Which package structure and Gosu class name follow best practice?
Answer: B
Explanation:
Guidewire maintains strict Coding Standards regarding namespace management to prevent conflicts during system upgrades. One of the most fundamental rules in InsuranceSuite Developer Fundamentals is that the gw package prefix is reserved exclusively for Guidewire's internal application code. Developers must never place custom logic, such as a postal service validation utility, inside a package starting with gw (ruling out Options B and C).
The best practice for custom code is to use a package name that begins with a customer-specific identifier, followed by the application code and the functional area. In this scenario, acme.pc.service.postalservice follows the recommended pattern of [Customer].[App] .[Layer].[Feature] . This hierarchy ensures that when Guidewire releases a new version of the software, the custom acme code will not collide with any new classes added to the base product.
Furthermore, the naming of the class itself is significant. While AddressUtil is a functional name, adding the
_Ext or Ext suffix to custom classes-especially those that interact with or extend core platform capabilities- is a common standard in many Guidewire implementations to clearly distinguish custom-written utilities from out-of-the-box components. Option D is the only choice that both respects the forbidden gw namespace rule and provides a clear, logical structure for a service-oriented integration component. This organization facilitates better maintainability and ensures that the custom integration is easily identifiable within the Source Control system.
NEW QUESTION # 23
A business analyst provided a requirement to create a list of Payment Types accepted by vendors. The list will include the values Cash, Credit Card, Debit Card, Check, and EFT. It will be linked to Company Vendors.
Following best practices for creating a new typelist, how can this requirement be configured in the data model?
Answer: B
Explanation:
When a developer needs to introduce an entirely new set of values that does not exist in the base InsuranceSuite product, they must create anew Typelist. According to the Guidewire Data Model architecture, the proper way to define a new, customer-specific typelist is by creating a.tti (Typelist Interface) file within theExtensionsfolder of the configuration.
Following the naming conventions established for Guidewire Cloud and InsuranceSuite extensions, any new metadata object created by a customer should include the_Extsuffix. Therefore, the typelist should be named PaymentType_Ext.tti (Option C). This suffix clearly distinguishes the insurer's custom metadata from any current or future "Out of the Box" (OOTB) typelists provided by Guidewire. By placing it in the Extensions -
> Typelist folder, the developer ensures that the new list is recognized by the metadata compiler and correctly integrated into the application.
It is important to understand why the other options are incorrect:
* Option A:Uses a .ttx file. .ttx files are used only toextend existingbase typelists (adding new codes to a list Guidewire already provides). They cannot be used to define a brand-new list.
* Option B:Uses a .tix extension, which is not a valid Guidewire metadata extension, and places it in the Metadata folder, which is reserved for base product files.
* Option D:Places a .tti in the Metadata folder without the required _Ext suffix, which violates the upgrade-safety principle and risks a name collision with future base product updates.
NEW QUESTION # 24
An insurer ran the DBCC checks against a copy of their PolicyCenter production database in a non-production environment to check for errors before promoting the code to production. Three errors with high counts were found in the category " Data update and reconciliation. " What are two best practices for resolving the errors?
(Select two)
Answer: C,E
Explanation:
Database Consistency Checks (DBCC) are a critical part of the System Health and Quality framework. When these checks return errors, especially in categories like " Data update and reconciliation, " it indicates a mismatch between the database ' s physical state and the application's metadata expectations.
According to Guidewire best practices, the first essential step (Option D) is root cause analysis. A developer must determine why the data is inconsistent. For example, if a high count of errors appears after a code change, it likely means a Gosu rule, an integration, or a newly added required field is not being populated correctly. Fixing the symptom with a SQL script without addressing the code responsible will only lead to the errors recurring. Addressing the logic ensures that the " faucet " of bad data is turned off before attempting to
" mop up " the existing data.
The second best practice (Option E) is leveraging the Guidewire Community and Knowledge Base. Many DBCC errors, particularly those related to base application upgrades or standard entities, are well- documented. Guidewire provides specific remediation scripts or configuration adjustments for known issues.
Options A, B, and C are strictly prohibited under Guidewire SurePath standards. Running SQL scripts " immediately " without analysis can lead to further corruption. Waiting for error counts to increase (Option B) ignores potential system instability. Promoting to production (Option C) while knowing errors exist is a violation of deployment quality gates and can lead to production downtime. By combining technical analysis with community resources, developers ensure a stable transition to the production environment.
NEW QUESTION # 25
The Officials list view in ClaimCenter displays information about an official called to the scene of a loss (for example, police, fire department, ambulance). The base product captures and displays only three fields for officials. An insurer has added additional fields but still only displays three fields. The insurer has requested a way to edit a single record in the list view to view and edit all of the officials fields. Which location type can be used to satisfy this requirement?
Answer: D
Explanation:
In Guidewire InsuranceSuite UI design, balancing information density is a common challenge.List Views (LVs)are optimized for showing multiple records at once but are limited by horizontal screen real estate.
When an entity has more fields than can comfortably fit in a table-as is the case with the expanded
"Officials" entity-Guidewire best practices recommend using aPopup(Option C) for detailed editing.
A Popup is a specializedLocationtype that opens a secondary window over the current page. This allows the developer to embed a fullDetail View (DV)containing all the new fields (police badge numbers, department contact info, etc.) without navigating the user away from the main Claim screen. This "List-Detail" pattern is typically implemented by making one of the fields in the List View (like the Official's name) aLinkor by adding an "Edit" button that calls the popover or push method to launch the Popup.
Other location types are inappropriate for this specific requirement. AForward(Option A) is a non-visual location used for logical branching (deciding where to send a user based on data). APage(Option B) would take the user completely away from the current context, which is disruptive for a simple edit. ALocation Group(Option D) is used for structural navigation in the sidebar, not for individual record interaction. By utilizing a Popup, the developer provides a focused, high-density editing environment that maintains the user's workflow within the ClaimCenter application.
NEW QUESTION # 26
You need to retrieve Claim entity instances created after a specific date. Which methods ensure that the filtering is performed in the database for optimal performance?
Answer: C
Explanation:
In Guidewire InsuranceSuite development, performance is heavily dependent on how data is retrieved from the relational database. When dealing with potentially large datasets, such as the Claim entity, it is critical to perform filtering at the database level (via SQL WHERE clauses) rather than at the application level (in Gosu memory).
The Guidewire Query API provides the primary mechanism for constructing these database-level filters.
When a developer creates a query object (e.g., gw.api.database.Query.make(Claim)), they must use specific methods to define the criteria that will be translated into a SQL query. The compare() method is the standard approach for adding these constraints. It allows the developer to specify the property (such as CreateTime), the comparison operator (such as GreaterThan), and the value (the specific date). Because the compare() method is called directly on the Query object before the query is executed, the filtering happens within the database engine.
In contrast, methods like where() or filter() used on a collection or a QueryBuilder result (Option A, C, and E) often trigger the execution of the query first, fetching all records into the Gosu application server ' s memory, and then discarding the ones that don ' t match. This " in-memory filtering " leads to severe performance degradation, high memory consumption, and potential " Out of Memory " errors. Option D correctly utilizes the Query API ' s ability to refine the result set at the source. Understanding the lifecycle of a query-from construction using compare() to execution-is a fundamental skill for any Guidewire developer to ensure the application remains scalable and responsive under high data volumes.
NEW QUESTION # 27
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