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Guidewire Associate Certification - InsuranceSuite Developer - Mammoth Proctored Exam Sample Questions (Q74-Q79):

NEW QUESTION # 74
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: B

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 # 75
An insurer stores the date a company was established in the company records. A business analyst identified a new requirement to calculate a company's years in business at the time a loss occurred. The years in business will be determined using the date established field and the claim date of loss.
The image below shows the Contact structure in the data model:

Which configuration steps will satisfy the requirement? (Select two)

Answer: E

Explanation:
In Guidewire development, the preferred way to extend base entities with business logic or derived data is throughGosu Enhancements. This approach allows you to add properties or methods to an entity that appear as if they were part of the original class.
1. Enhancement Location and Package (Option A)
According to theGuidewire InsuranceSuite Developer Fundamentalsguide, any custom enhancement must be placed in acustomer-specific package(e.g., si.pc.contact for Succeed Insurance). Using the gw package (Options D and E) is strictly prohibited as it is reserved for Guidewire's internal product code. Because "Date Established" is specific to the Company entity (as indicated in the Contact hierarchy), the enhancement should target the Company entity directly.
2. Using a Getter Property (Option G)
The requirement is to "calculate" a value based on existing data. The most efficient and readable way to implement this in Gosu is via agetter property(property get). Unlike a standard function (Option B), a getter property allows you to access the value in PCFs or rules using simple dot notation (e.g., myCompany.
YearsInBusiness_Ext), making the code cleaner and more maintainable.
Why other options are incorrect:
* Option B:While a function would technically work, a getter property is the best practice for a value that logically represents a "read-only" attribute of the entity.
* Option C:Asetteris used towritedata to a field. Since "Years in Business" is a derived calculation, it should not be manually set; it should be calculated on-the-fly from the source date fields.
* Options D and E:As mentioned, these use the gw package, which violates upgrade-safety standards and would cause the "Cloud Assurance" checks to fail.
By creating a Company enhancement in the customer's package and providing a property get, the developer creates a reusable, performant solution that follows the platform's core architectural principles.


NEW QUESTION # 76
When a user marks the InspectionComplete field and clicks Update, the user making the update and the date
/time of the update need to be recorded in separate fields. Which approach will accomplish this?

Answer: D

Explanation:
In the GuidewireGosu Rulesframework,Preupdate rulesare the designated location for performing last- minute entity modifications before they are committed to the database. According to theInsuranceSuite Developer Fundamentalsguide, Preupdate rules are ideal for audit-trailing or setting "shadow fields" that depend on the state of other fields.
When the user clicks "Update," the bundle enters the commit phase. The Preupdate ruleset is executed while the transaction is still "in-flight." By checking if the InspectionComplete field is "changed" (using the isFieldChanged() method), the rule can programmatically set the user and timestamp. This ensures the data is captured regardless of which PCF page or API call triggered the update. Options likeValidation Rules(A) are meant for error checking, not data assignment.EventFired Rules(D) occurafterthe database commit, meaning any changes made there would require a whole new bundle and transaction, which is highly inefficient and creates infinite loops.


NEW QUESTION # 77
An insurer needs to define a new Typecode on an existing base application Typelist. Which actions follow best practices for implementing this requirement in Guidewire InsuranceSuite? (Choose 2)

Answer: A,B

Explanation:
In Guidewire InsuranceSuite, the data model is comprised of both Base and Extension metadata. Base metadata, which defines the out-of-the-box entities and typelists, is stored in .tti (Typelist Internal) files.
According to Guidewire best practices and architectural standards, developers must never modify base files directly. Direct modifications to .tti files are overwritten during application upgrades, leading to significant maintenance debt and system instability.
To extend an existing typelist, a developer must use a Typelist Extension file, which carries the .ttx extension.
If a .ttx file for the specific typelist does not already exist in the configuration module, the developer must create one. This approach allows the system to merge the base definitions with the custom extensions at runtime. By defining the new Typecode within a .ttx file, the developer ensures that the custom business data remains intact during platform updates while still appearing as part of the core typelist within the UI and Gosu logic.
Furthermore, typelists are not managed through .java files; they are metadata-driven XML structures. Creating a standalone typelist (Option A) would not satisfy the requirement because it would not be recognized by existing base fields that are already hard-wired to point to the specific base typelist. Therefore, the combination of creating an extension file and defining the new code within that specific .ttx file is the only verified procedure for data model configuration.


NEW QUESTION # 78
Which two statements are true regarding the Guidewire Cloud Assurance process? (Select two)

Answer: A,D

Explanation:
The Guidewire Cloud Assurance process is a mandatory quality framework designed to ensure that every implementation on the Guidewire Cloud Platform (GWCP) adheres to the highest standards of performance, security, and maintainability.
Statement C is true because the Assurance process is not limited to " greenfield " (new) projects. Customers migrating from a self-managed, on-premise environment to the cloud must go through the same rigorous code reviews and architectural assessments. This ensures that any " technical debt " or non-cloud-compliant patterns in the legacy codebase are identified and addressed before the application goes live in a SaaS environment.
Statement E is also true regarding the Optimization Backlog. During the code review and assessment phases, Guidewire experts identify areas of the configuration that, while perhaps not " breaking " the system, could be improved for better performance or easier future upgrades. These items are captured in the Optimization Backlog. While " Critical " or " Blocker " issues must be resolved before the go-live deployment, items in the Optimization Backlog represent a roadmap for continuous improvement.
This process aligns with the SurePath methodology, shifting the focus from simply " going live " to " staying healthy " on the cloud. It provides customers and partners with direct feedback from Guidewire's own engineering standards, ensuring that the implementation remains scalable and capable of taking advantage of the bi-annual cloud release cycles.


NEW QUESTION # 79
......

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