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| Section | Weight | Objectives |
|---|---|---|
| PCF Configuration and UI Customization | 25% | - Page Configuration Files (PCF)
|
| Gosu Programming and Business Logic | 30% | - Gosu Language Basics
|
| InsuranceSuite Data Model | 25% | - Data Extensions and Customization
|
| Integration and Extensibility | 10% | - Integration Frameworks
|
| Deployment and Maintenance | 10% | - Build and Deployment Process
|
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NEW QUESTION # 98
What is a purpose of logging in deployed systems that follows best practices?
Answer: B
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 # 99
Given the following query:
uses gw.api.database.Query
var query = Query.make(Claim)
query.compare(Claim#ClaimNumber, Equals, " 123-45-6789 " )
var claim = query.select().AtMostOneRow
Which follows the best practice to find the urgent open activities of the claim, considering the memory usage and bundle size?
Answer: D
Explanation:
In Guidewire InsuranceSuite, managing how data is retrieved from the database is critical for system performance, specifically regarding memory usage and the bundle size. A primary goal for any developer is to ensure that filtering happens at the database level rather than within the application server ' s memory.
Options B and C demonstrate a common but inefficient pattern: accessing an array directly (e.g., claim.
Activities). When you access an array on an entity, the Guidewire platform automatically loads every related record in that array into the application server ' s memory and adds them to the current Bundle. If a claim has hundreds of activities, but you only need the three that are " Urgent " and " Open, " Options B and C still force the system to load all of them. This consumes significant memory and increases the overhead of the bundle, which can lead to performance degradation or " Out of Memory " errors in high-volume environments.
Option D is the verified best practice. By using the Gosu Query API (Query.make(Activity)), the developer can build a specific SQL statement. Using the .compare() method for the Priority, Status, and the link to the Claim ensures that all three criteria are passed to the database as part of the WHERE clause. When .select() is called, the database engine filters the records and returns only the specific rows that meet all requirements.
Consequently, only the necessary objects are loaded into the application server ' s memory and added to the bundle. Option A is less efficient because it uses a Gosu lambda (.where) after the select, which performs the final filtering in memory rather than at the database tier. Following the pattern in Option D minimizes the data
" payload " and ensures the application remains scalable and responsive.
NEW QUESTION # 100
Which scenario follows best practices for user interface field-level validation?
Answer: C
Explanation:
In Guidewire PCF Configuration, field-level validation is used to ensure that the data entered by a user conforms to specific constraints (format, length, or character types) before the page is even committed to the database. According to the InsuranceSuite Developer curriculum, the best practice is to implement simple, immediate constraints at the field level to provide the user with rapid feedback.
Scenario A is a classic example of field-level validation. Ensuring that a password contains only alphanumeric characters can be enforced directly on the input widget using Input Masking or a Validation Expression within the PCF. This prevents invalid data from entering the system at the earliest possible stage. It improves the user experience by identifying the error immediately, rather than waiting for a full database commit to trigger a server-side validation rule.
In contrast, Scenario C describes Reflection or Post On Change behavior, which is a UI automation/helper feature rather than a validation check. Scenario D represents complex business logic or a " validation rule " that involves cross-field dependencies (interest rate vs. down payment); while this can be done in a PCF, it is more typically handled in a Validation Guide or a dedicated Gosu validation class to ensure the rule is enforced regardless of which UI screen is used. By focusing field-level validation on structural requirements like alphanumeric constraints, developers maintain a clear separation between data integrity (formatting) and business logic (eligibility/rules).
NEW QUESTION # 101
Succeed Insurance needs to modify the ClaimCenter data model to add a new column to indicate the date and time that a contact on a claim was interviewed about the loss. This new field will be added to the existing Person entity. Following best practices, which of the following options satisfies this requirement?
Answer: B
Explanation:
The Guidewire Data Model Architecture is designed to protect the " Base " application while allowing for " Extension. " According to the InsuranceSuite Developer Fundamentals, developers must never modify a base .
eti (Entity Internal) file directly (ruling out Option A). Direct modifications are not upgrade-safe and will be overwritten during platform updates.
To add a field to an existing base entity like Person, a developer must create an Entity Extension file with the .
etx suffix. The best practice for naming this file is to match the base entity name exactly (e.g., Person.etx).
This allows the system ' s metadata compiler to automatically merge the custom fields into the base entity at runtime. Adding _Ext to the filename (Option B) is not the standard pattern for extension files in modern Guidewire versions.
Furthermore, any new field added to a Base Entity must include the _Ext suffix in the field name itself (e.g., InterviewDate_Ext). This is a critical defensive programming standard. If Guidewire releases a future version of ClaimCenter that includes a native InterviewDate field on the Person entity, the customer ' s custom field will not collide with the new base field. Without this suffix, a naming collision could prevent the application from starting or cause database schema failures during an upgrade. Therefore, Option D is the only verified answer that follows both the file naming conventions and the field naming safety standards required for Guidewire cloud-readiness.
NEW QUESTION # 102
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: C
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 # 103
......
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