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| Section | Weight | Objectives |
|---|---|---|
| Deployment and Maintenance | 10% | - Build and Deployment Process
|
| Gosu Programming and Business Logic | 30% | - Rules, Events, and Logging
|
| PCF Configuration and UI Customization | 25% | - UI Components and Behavior
|
| Integration and Extensibility | 10% | - Integration Frameworks
|
| InsuranceSuite Data Model | 25% | - Data Extensions and Customization
|
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NEW QUESTION # 68
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 thedatabase level(via SQL WHERE clauses) rather than at theapplication level(in Gosu memory).
The GuidewireQuery APIprovides 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 acollectionor aQueryBuilderresult (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 # 69
An insurer wants to prevent US phone numbers from containing the string " 555 " in the prefix (digits 4-6). In addition to a test for country, which validation expression will accomplish this?
Answer: A
Explanation:
In Guidewire PCF Configuration, a Validation Expression is used on input widgets to enforce data quality.
These expressions must evaluate to a specific return type: if the data is valid, the expression must return null.
If the data is invalid, it must return a String (usually via a DisplayKey) containing the error message that will be displayed to the end-user.
To address the specific requirement of checking digits 4 through 6, developers use Gosu Slicing on the phone number string. Since Gosu (and most programming languages) uses 0-based indexing, the 4th digit is at index
3, the 5th at index 4, and the 6th at index 5. Therefore, the slice range is [3..5].
Option C is the correct implementation. It slices the NationalSubscriberNumber from index 3 to 5, converts it to a String, and checks if it equals ' 555 ' . If it matches (meaning the number is invalid), it returns the BadPhoneNumber DisplayKey. If it does not match, it returns null, signifying the data is valid.
Option A and D are incorrect because they return true on success, which is a common mistake; the UI engine interprets any non-null return value as an error message. Option B is incorrect because it uses .contains(), which would flag ' 555 ' appearing anywhere in the number, not just in the specific prefix positions requested by the business analyst. Mastering these expressions ensures that users receive immediate, accurate feedback while maintaining the integrity of the InsuranceSuite Data Model.
NEW QUESTION # 70
An insurer has identified a new requirement for company vendor contacts in ContactManager. If the Preferred Vendor9 field is set to Yes, display the new BBS Rating (Better Business Bureau) field.
Which two configuration changes will satisfy this requirement? (Select two)
Answer: D,E
Explanation:
Implementing dynamic UI behavior where one field appears or disappears based on the value of another is a common task in Guidewire Page Configuration Framework (PCF). To achieve this " conditional visibility, " two distinct configuration steps are required to ensure the user interface remains responsive and accurate.
1. Triggering the UI Refresh (Option B)
By default, the Guidewire web client does not send data to the server until a major action (like clicking " Update " or " Next " ) occurs. However, when one field ' s state depends on another, we need an immediate update. Enabling postOnChange on the " triggering " field-in this case, Preferred Vendor?-tells the application to perform an asynchronous (AJAX) request as soon as the user modifies that field. This refresh allows the PCF logic to re-evaluate properties for all other widgets on the screen.
2. Defining the Visibility Logic (Option C)
Once the page is set to refresh, the " target " field-the BBB Rating-must know when it is allowed to be seen. This is handled by the visible property. In Guidewire Studio, the developer enters a Gosu expression in the visible property of the BBB Rating widget, such as: contact.PreferredVendor == true (or the equivalent boolean/typekey check).
Why other options are incorrect:
* Option A: The onChange property is for executing logic (like setting a default value), not for controlling visibility. Setting a value won ' t make the field appear.
* Option D: Enabling postOnChange on the BBB Rating field itself is useless here, as it is the field being shown, not the field causing the change.
* Option E: Setting the editable property only controls whether a field can be typed in; it does not hide the field from view, which is what the business analyst requested.
By combining postOnChange on the source and a visible expression on the target, the developer creates a modern, reactive user experience that adheres to Guidewire UI best practices.
NEW QUESTION # 71
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: C,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 the InsuranceSuite Developer Fundamentals course, the best practice for this scenario involves a " Master-Detail " design pattern utilizing Modal PCFs.
The first step (Option D) is to create a primary Detail 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 an Input Set Ref with the Mode property 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 # 72
A developer has designed a detail view with an email address input. What is the best practice for ensuring that only a properly formatted email address can be entered?
Answer: C
Explanation:
For standard formatting requirements like phone numbers, ZIP codes, or email addresses, Guidewire recommendsField-Level Validation(Option C). This is implemented using the validationExpression property on the PCF widget or, more ideally, by associating aValidatorin the Data Model (.eti/.etx).
Field-level validation provides the best user experience because it triggers immediately when the user navigates away from the field (client-side or AJAX refresh), providing instant feedback. Using aValidation Rule(D) is a "heavier" server-side operation that only triggers when the user tries to save the entire page. By using a Regex-based validator at the field level, the application maintains data integrity with minimal performance overhead.
NEW QUESTION # 73
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