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| Section | Objectives |
|---|---|
| Guidewire Platform Fundamentals | - Platform architecture basics - InsuranceSuite product overview |
| Deployment and Environment Management | - Environment configuration - Deployment lifecycle and best practices |
| Gosu Programming | - Core Gosu syntax and constructs - Business logic implementation in Guidewire |
| Testing and Debugging | - Debugging tools and techniques - Unit testing in Guidewire environment |
| User Interface (PCF) | - Page Configuration Files (PCF) structure - UI customization and navigation flows |
| InsuranceSuite Architecture | - Data flow and system integration concepts - PolicyCenter, BillingCenter, ClaimCenter interaction |
| Business Rules and Logic | - Validation rules and workflows - Rule execution order and lifecycle |
| Integration and APIs | - Web services and integration patterns - Inbound and outbound integration mechanisms |
| Data Model and Configuration | - Entity model and extensions - Typelist configuration and metadata |
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NEW QUESTION # 82
Which two are capabilities of the Guidewire Profiler? (Select two)
Answer: A,B
Explanation:
TheGuidewire Profileris an essential diagnostic tool used to capture and analyze performance data from the perspective of the application server. Its primary function is to help developers identify "hotspots"-areas of the code that consume excessive time or resources-during the execution of a specific transaction, such as a page load, a batch process, or a web service call.
According to theSystem Health & Qualitycurriculum, the first major capability of the Profiler istracking time spent within Guidewire application code(Option A). When profiling is active, the tool records the execution time of Gosu methods, business rules, and even PCF expressions. It provides a hierarchical "stack trace" view, allowing developers to see exactly which function or rule is responsible for a delay. This is particularly useful for detecting inefficient loops or complex logic that may be slowing down the user experience.
The second key capability isproviding timing information for external service calls(Option D). In a modern InsuranceSuite ecosystem, applications frequently communicate with external systems for credit scores, address validation, or payment processing. The Profiler monitors these "exit points" (such as SOAP or REST integrations) and records the duration of each call. By analyzing this data, a developer can determine if a performance issue is internal to the Guidewire application or if it is caused by a slow response from an external vendor's API.
It is important to note that the Profiler is aserver-side tool. It does not measure browser-side rendering time (Option E) or network latency between the client and the server (Option C). While it provides metadata about database queries, its focus is on the application's execution of those queries rather than raw network latency (Option B). By focusing on internal code and external integrations, the Profiler gives developers a clear view of the application's functional performance.
NEW QUESTION # 83
What is a purpose of logging in deployed systems that follows best practices?
Answer: D
Explanation:
In the context of Guidewire InsuranceSuite, logging serves as a critical diagnostic and security tool. However, it must be implemented with a strict focus on Compliance and Performance. According to the Gosu Rules and Logging curriculum, the primary purpose of logging in a production (deployed) environment is to capture significant business and technical events that provide an audit trail for system behavior. This includes tracking successful transaction completions, identifying failure points in integration calls, and recording administrative actions.
A significant portion of the training emphasizes what not to log. Options B and C describe the logging of Personally Identifiable Information (PII) and sensitive credentials (bank account numbers and passwords).
Logging such data is a severe violation of Security Best Practices and regulatory standards like GDPR, HIPAA, and PCI-DSS. Guidewire Cloud standards mandate that logs must be scrubbed of any sensitive data to prevent data leaks. Furthermore, logging every single database query (Option D) is generally discouraged in production because it creates massive " log bloat " and incurs a heavy performance penalty due to disk I/O.
By following the best practice of logging significant events, developers ensure that support teams have enough information to troubleshoot functional issues (using tools like CloudWatch or Datadog) without compromising customer privacy or degrading system responsiveness. Effective logging strikes a balance between visibility and security, ensuring that the " story " of a transaction can be reconstructed without exposing the sensitive data within it.
NEW QUESTION # 84
A developer needs to prepare their local configuration changes for inclusion in the shared Bitbucket repository. According to the training, which actions, performed using Git-based commands in a GWCP context, are essential for this process? (Choose 3)
Answer: B,C,D
Explanation:
In the context of Developing in the Cloud and using the Guidewire Cloud Platform (GWCP), managing source code follows standard Git-based workflows integrated with Atlassian Bitbucket. For a developer to successfully share their local configuration changes with the rest of the team, they must follow a sequence that ensures code integrity and avoids " merge hell. " The first essential step is Committing the changes locally (Option B). This records the developer ' s progress in their local repository ' s history. However, because other developers may have pushed changes to the shared repository in the meantime, the developer must synchronize their local environment. This is achieved by Pulling the latest changes from the remote repository and rebasing (Option A). Rebasing is preferred in the Guidewire curriculum because it creates a clean, linear project history by moving the developer ' s custom commits to the " tip " of the updated master or feature branch. Finally, once the local branch is current and all conflicts are resolved, the developer must Push the finished branch to the remote Bitbucket repository (Option E). Only after the code is in Bitbucket can it be picked up by TeamCity for automated building and testing.
Deploying to a planet (Option C) and creating build schedules (Option D) are downstream activities that occur after the code has been successfully merged into the shared repository. Similarly, Quality Gates (Option F) are pre-configured environment standards rather than a step in the Git commit-and-push workflow. Adhering to the commit-rebase-push cycle is the verified best practice for collaborative cloud development.
NEW QUESTION # 85
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,E
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 # 86
What configuration item is needed to add ABContact.Notes to PendingContactChangeView following best practices?
Answer: B
Explanation:
In Guidewire InsuranceSuite, View Entities are specialized data model objects used primarily to provide flattened, high-performance data for ListViews (LVs). They function similarly to a database view, joining multiple related entities into a single virtual record to minimize the number of database queries required when rendering a page.
The screenshot provided shows PendingContactChangeView.eti. As indicated by the " This is a read-only file
" warning in the Studio interface, this is a Base Application File. According to the Data Model Architecture and InsuranceSuite Developer Fundamentals, developers must never modify base files directly. Direct modifications to .eti files are not upgrade-safe and would be overwritten during any future Guidewire platform update, leading to significant maintenance issues.
To extend the metadata of a base view entity, the best practice is to use an Extension File, which carries the .
etx suffix. By adding a viewEntityType for Note within a PendingContactChangeView.etx file, the developer instructs the system to merge this custom field into the existing base view entity at runtime. This allows the new field to be accessible in Gosu and PCFs as if it were part of the original definition, while keeping the custom code isolated for easy upgrades.
Option C is incorrect because bypassing the View Entity by traversing through ABContact.Note directly in a PCF widget defeats the performance purpose of the View Entity and can lead to " N+1 " query performance bottlenecks. Option D is incorrect because creating a separate view entity is unnecessary and redundant when the current view entity can be easily extended. Therefore, Option A is the only verified best practice for maintaining a scalable and upgradeable Guidewire configuration.
NEW QUESTION # 87
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