Ensure Success In Exam With Guidewire InsuranceSuite-Developer PDF Questions​

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Guidewire Associate Certification - InsuranceSuite Developer - Mammoth Proctored Exam Sample Questions (Q17-Q22):

NEW QUESTION # 17
In ClaimCenter, the Desktop- > Claims page contains a ListView that is backed by a View Entity ClaimDesktopView.eti. The company would like to add a column to the Claim Validation Level in this List View. Following best practice, which of the following steps are required to fulfill this requirement?

Answer: A

Explanation:
View Entities (.eti files ending in View) are specialized data model objects used to provide high-performance, read-only data for ListViews. They function similarly to a SQL View, joining multiple tables to retrieve only the specific fields needed for a display grid.
When extending a base view entity like ClaimDesktopView, standard data model tags like column or typekey (Option B) are not used. Instead, Guidewire provides a specific set of " View Entity " tags. Because ValidationLevel is a typelist on the Claim entity, the correct tag to use in the .etx file is viewEntityTypekey (Option C). This tag tells the platform that the field is derived from a typelist and ensures that the UI renders it with the correct localized display names and icons.
The path attribute is equally critical; it defines the " traversal " from the view entity to the source data. Since ClaimDesktopView typically has a link to the Claim entity, the path Claim.ValidationLevel correctly instructs the system to pull the value from the related Claim record. While best practices for standard entities usually mandate the _Ext suffix, view entities often mirror the base field name for clarity unless a collision occurs.
However, the use of the viewEntityTypekey tag is the fundamental architectural requirement for this task, as computedTypekey and computedColumn (Options A and D) are intended for logic-heavy Gosu expressions rather than simple database-backed path traversals.


NEW QUESTION # 18
A developer has completed a configuration change in an InsuranceSuite application on their local environment. According to the development lifecycle described in the training, which initial steps are required to move this change towards testing and deployment? Select Two

Answer: B,D

Explanation:
The Guidewire Cloud Platform (GWCP) development lifecycle is built around a modern CI/CD (Continuous Integration/Continuous Delivery) pipeline. This process moves code from a developer ' s local workstation through various " Planets " (environments) using integrated tools like Bitbucket, TeamCity, and Guidewire Home.
The first step in moving a local change toward production is committing and pushing the code to Bitbucket (Option C). Bitbucket serves as the centralized Git-based source code repository. This action triggers the " Build " phase of the lifecycle. Once the code is in Bitbucket, the next step involves the CI server, TeamCity.
TeamCity is responsible for compiling the Gosu code, running automated GUnit tests, and performing static code analysis (Quality Gates). While TeamCity is often configured to trigger automatically upon a push, a developer may need to manually trigger or monitor the build via Guidewire Home (Option D) if they need immediate feedback or if the automation is set to a specific schedule.
Options such as " Deploying directly to pre-production " (Option A) are impossible in the GWCP model, as code must first pass through the " Dev " planet and satisfy quality gates before being promoted. " Scheduling automated builds " (Option B) is an administrative task, not an initial step for a developer ' s specific change.
Finally, " creating a star system " (Option E) refers to the infrastructure setup usually handled by Guidewire Cloud operations, not a part of the standard code-change lifecycle. Following the C and D sequence ensures that the code is properly versioned, tested, and validated before it ever reaches a runtime environment.


NEW QUESTION # 19
Which scenario follows best practices for user interface field-level validation?

Answer: A

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 # 20
This code sample performs poorly due to the use of dot notation with multiple array expansions: var lineItems
= Claim.Exposures*.Transactions*.LineItems. What is the recommended best practice to improve the performance of this code?

Answer: B

Explanation:
In Guidewire InsuranceSuite, the expansion operator (*) is a powerful Gosu feature used to flatten arrays and access properties across a collection. However, as noted in the Advanced Gosu and System Health & Quality curriculum, using multiple expansions in a single statement-especially across deep entity hierarchies like Claim - > Exposures - > Transactions - > LineItems-is a significant performance anti-pattern.
When this dot-notation traversal is executed, the application performs " lazy loading. " For every exposure, it fetches all transactions, and for every transaction, it fetches all line items. This creates the N+1 query problem, where the number of database roundtrips grows exponentially with the data volume. Furthermore, all these entities are loaded into the application server's memory and added to the current Bundle. This leads to " Bundle Bloat, " which increases memory pressure, slows down garbage collection, and can significantly degrade the performance of the specific web request or batch job.
The recommended best practice to resolve this is to use the ArrayLoader syntax (Option D). The ArrayLoader API is specifically designed to perform " eager loading. " It allows the developer to specify related arrays that should be loaded in bulk using optimized SQL joins or batch fetches. By using ArrayLoader, the developer can retrieve the necessary nested data in a single or highly reduced number of database operations, ensuring that the data is ready in memory before the logic attempts to access it. This eliminates the overhead of repeated lazy-loading calls and is the standard architectural solution for improving the performance of deep entity graph traversals in Guidewire.


NEW QUESTION # 21
Which statements describe best practices when using bundles in Gosu to save new entities/edit existing entities? (Select Two)

Answer: D,E

Explanation:
Managing transactions in Guidewire requires a deep understanding ofBundles. The modern and safest way to handle a transaction is using the runWithNewBundle( bundle -> { ... }) block (Option B).
When using runWithNewBundle, the Guidewire platform automatically handles the "Plumbing" of the transaction. It opens the bundle, provides a safe execution context, andautomatically commitsthe changes when the block reaches the end. Therefore, a critical best practice is tonever call commit() manuallyinside that block (Option F). Doing so can interfere with the platform's error-handling and post-commit logic. Option E is used for UI-bound bundles (like those in a PCF), but for background logic or integration, a fresh, managed bundle via runWithNewBundle is the gold standard for avoiding data leakage or accidental modifications.


NEW QUESTION # 22
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