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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integration and Extensibility | 10% | - Integration Frameworks
|
| Topic 2: Deployment and Maintenance | 10% | - Build and Deployment Process
|
| Topic 3: InsuranceSuite Data Model | 25% | - Data Extensions and Customization
|
| Topic 4: PCF Configuration and UI Customization | 25% | - UI Components and Behavior
|
| Topic 5: Gosu Programming and Business Logic | 30% | - Rules, Events, and Logging
|
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NEW QUESTION # 128
A developer performed Guidewire Profiler analysis on a web service. The results showed a large Own Time (unaccounted-for time) value, but it is difficult to correlate the data with the exact section of code executed.
Which approach can help to identify what is causing the large processing time?
Answer: D
Explanation:
When using the Guidewire Profiler, " Own Time " refers to time spent within a specific block of code that isn
' t attributed to sub-calls (like database queries or other profiled methods). A high Own Time in a web service indicates that significant processing is happening in a " blind spot " of the current profile.
To gain visibility into these blind spots, Guidewire recommends creating custom Profiler Tags. By wrapping specific segments of your Gosu code with Profiler.push( " TagName " ) and Profiler.pop(), you manually tell the Profiler to track that specific block as its own entry in the results tree. This breaks down the generic " Own Time " into specific, labeled sections, allowing you to pinpoint exactly which loop or calculation is causing the bottleneck.
Option D is a common distractor; while " stack frames " provide context, they don ' t help categorize logic that isn ' t currently being caught by the instrumented hooks. Options B and C are manual troubleshooting methods that are significantly less efficient than using the built-in diagnostic capabilities of the Profiler and can even skew performance results due to the overhead of I/O operations.
NEW QUESTION # 129
The Cost entity contains the fields TotalPremium and Tax. The application needs to calculate the total cost as a sum of those two fields dynamically and wants to create a reusable solution. Which configuration is appropriate and efficient to achieve this task?
Answer: C
Explanation:
In Guidewire development, the best practice for adding derived or calculated logic to an entity is using aGosu Enhancement. An enhancement allows you to add methods and properties to a base entity without modifying the underlying physical database schema or the original .eti file.
According to theInsuranceSuite Developer Fundamentalscourse, aread-only property (getter)is the most appropriate way to handle a dynamic calculation like "Total Cost." By defining a property get, the value is calculated on-the-fly whenever it is accessed. This ensures the data is always accurate and reflects the current state of TotalPremium and Tax without the risk of data desynchronization.
Option C is inefficient because adding a physical column to the database for a value that can be easily derived increases database size and requires complex logic to keep the "stored" total in sync with the source fields.
Option D is an anti-pattern; while calculating in a PCF works, it is notreusable-if you needed the total in a different page or a business rule, you would have to duplicate the logic. Option B is logically incorrect as a property set is used to assign values, not to return a calculated result.
NEW QUESTION # 130
A developer runs Database Consistency Checks for a new ClaimCenter release in a QA environment running a copy of the production database. Analysis of the output identifies data errors in both the QA and production data. Which two options follow best practices for correcting the data? (Select two)
Answer: A,E
Explanation:
Maintaining data integrity is the highest priority in a Guidewire implementation. WhenDatabase Consistency Checksidentify errors that exist in the production environment, the resolution process must be rigorous, audited, and safe.
According to theGuidewire System Health & Qualitycurriculum, developers should never attempt to fix production data errors using "ad-hoc" methods like Scratchpad (Option B) or standard Import utilities (Option C), as these bypass the complex referential integrity and validation logic inherent in the application.
Instead, the best practice involves two paths. First, for errors rooted in complex application logic, the developer shouldwrite a Gosu script and request a review from Guidewire Support(Option D). Guidewire Support provides a "Data Fix" service to ensure the script won't have unintended side effects on the database schema or application stability.
Second, if the error is purely at the database level (e.g., a broken foreign key or orphan record), the developer shouldwork with the insurer's database group to create a SQL script(Option E). However, this scriptmust be tested in a QA environment(that uses a copy of production data) before execution to verify that it correctly resolves the consistency check failure without damaging other data relationships. Option A is incorrect because "Production Data Fix Tool" is not a standard standalone tool name provided in the base product for this purpose.
NEW QUESTION # 131
An insurer has a number of employees who are working remotely from different locations. Displaying the employee ' s name in a drop-down list in the user interface must include the employee ' s location along with it. For example: John Smith London, UK; William Andy Dublin, Ireland; Eric Andy BC, Canada. How can a developer satisfy this requirement following best practices?
Answer: B
Explanation:
In the Guidewire InsuranceSuite data model, an entity ' s " Display Name " is the primary string representation used by the system whenever that entity is shown in the user interface-most notably in dropdowns (RangeInputs), search results, and labels. This is controlled via Entity Name Configuration (typically .en files or specialized Gosu classes).
According to the Data Model Architecture and InsuranceSuite Developer Fundamentals, when business requirements demand that users distinguish between entities with similar names (like " William Andy " ), the best practice is to modify the entity ' s name definition to include differentiating data, such as a location or an ID. By defining an entity name that concatenates the employee ' s name fields with their work location, the developer creates a globally consistent identity for the object. This ensures that every time the " Employee " entity is selected from a dropdown, the user sees both the name and the location, reducing the risk of administrative error.
Using a Displaykey (Option C) is incorrect because displaykeys are meant for localized static text, not for dynamic data-driven identity logic. Post On Change (Option D) is a UI-level mechanism used to trigger server-side logic when a field value changes; it does not govern how an entity is fundamentally represented as a string. By modifying the entity name directly, the developer follows the " DRY " (Don ' t Repeat Yourself) principle, as the concatenation logic is written once at the data model level and automatically inherited by every PCF that references the entity.
NEW QUESTION # 132
Which GUnit test method adheres to the Guidewire naming standards?
Answer: D
Explanation:
Testing is a core pillar of the InsuranceSuite Developer curriculum, specifically through the use of GUnit, Guidewire ' s specialized testing framework based on JUnit. To maintain a clean and searchable test suite, Guidewire enforces specific naming conventions for test methods within a TestCase class.
According to the Gosu Coding Standards, test methods should always begin with the lowercase prefix test.
This prefix is used by various automated tools and IDEs (like Guidewire Studio) to identify executable test segments. Following the prefix, the name should be in camelCase and should clearly describe the functionality or method being validated.
Option C, testBulkInvoiceBatchJob, is the correct format. It starts with the required prefix and uses a clear, concise description of the functional area being tested. Option A and B fail because they do not begin with the test prefix, which would likely result in the GUnit runner skipping those methods entirely. Option D, while starting with test, follows a more verbose, sentence-like structure (testThatQuoteIsGenerated) which is common in some BDD (Behavior Driven Development) frameworks but is less standard in traditional Guidewire GUnit development compared to the direct functional naming seen in Option C. Adhering to these standards ensures that tests are easily identifiable during the CI/CD process and that the results reported in TeamCity are logically organized for the development team.
NEW QUESTION # 133
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