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| Section | Weight | Objectives |
|---|---|---|
| Deployment and Maintenance | 10% | - Build and Deployment Process
|
| InsuranceSuite Data Model | 25% | - Entities and Relationships
|
| 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
|
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NEW QUESTION # 94
The sources describe different types of deployment strategies for InsuranceSuite applications. What are characteristics of a selective deployment?
Answer: D
Explanation:
InGuidewire Cloud Platform (GWCP), deployment flexibility is key to managing complex multi- application environments. ASelective Deployment(Option E) is a strategy where a developer or release manager chooses to deploy a subset of the available applications rather than the entire suite.
For example, if a developer has only made configuration changes toPolicyCenterandContactManager, they can trigger a selective deployment for just those two applications while leavingClaimCenterandBillingCenter at their current versions. This is particularly useful in non-production environments (like Dev or QA) to speed up the build-and-deploy cycle and minimize disruption to other teams working on different applications.
Key characteristics include:
* Granular Control:You choose which specific components (e.g., PC, BC, CC, or Digital applications) are pushed.
* Environment Stability:It reduces the risk of side effects on applications that haven't changed.
* Pipeline Efficiency:Since fewer containers are being built and restarted, the overall deployment time is often shorter than a full suite deployment.
Option C describes the opposite (a Full Deployment). Option A is incorrect as production deployments typically follow a more rigid, all-inclusive "Release" structure to ensure synchronization. Option B is a data management task (masking/refreshing), which is distinct from the deployment of application code.
NEW QUESTION # 95
Which logging statement follows best practice?
Answer: C
Explanation:
Logging efficiency is a critical component of Guidewire application performance. In a production environment, logging levels are typically set to INFO or WARN. However, developers often include DEBUG level logs to assist with troubleshooting. The primary performance risk occurs when a log statement requires significant computational resources to construct the message string-such as calling a method that performs complex calculations or database lookups-even when the log level is currently disabled.
Option C follows the absolute best practice by wrapping the log call in anIsDebugEnabledcheck. This ensures that the someReallyExpensiveOperation() method is only executed if the system is actually configured to record debug logs. Without this check, the application would waste CPU cycles performing the
"expensive operation" only to have the logger discard the resulting string because the level was set to INFO.
Other options fail for various reasons: Option A incorrectly checks InfoEnabled before calling debug, which is a logical mismatch. Option B is risky because passing raw exception messages (e.Message) into a display key can lead to inconsistent formatting or potential security issues if the message is shown to users. Option D demonstrates "Chatty Logging" and string concatenation without a level check, which can negatively impact performance and clutter log files with non-essential state data. Guidewire's logging framework (built on Log4J
/SLF4J principles) thrives when developers use guards like DebugEnabled to protect system resources.
NEW QUESTION # 96
A developer needs to create a new entity for renters that contains a field for the employment status.
EmploymentStatusType is an existing typelist. How can the entity and new field be created to fulfill the requirement and follow best practices?
Answer: A
Explanation:
When adding a brand-new entity to the Guidewire data model, developers must use the Extensions directory.
According to Data Model Architecture best practices, custom entities should be defined in an .eti (Entity Internal) file.
Option A is the correct implementation. Creating Renter_Ext.eti (or simply Renter.eti depending on specific project naming conventions, though _Ext is often used to denote custom work) allows the developer to define the new object from scratch. Because the EmploymentStatus field needs to reference an existing typelist (EmploymentStatusType), the field type must be a typekey, not a column. A column is used for primitive types like strings, integers, or decimals, whereas a typekey creates a relationship between the entity and the typelist metadata.
Option B is incorrect because .etx files are used for extending existing base entities (like adding a field to Claim), not for creating new ones. Option C is incorrect because it mistakenly identifies the field as a " column " and unnecessarily adds _Ext to a field on a custom entity (usually _Ext is reserved for extending base entities to avoid future collisions). Option D is completely irrelevant to entity creation as it attempts to add a code to a typelist instead of creating a data structure for a Renter. Following the structure in Option A ensures that the new Renter entity is properly indexed, supports localization via typelists, and is fully integrated into the InsuranceSuite persistence layer.
NEW QUESTION # 97
An insurer doing business globally wants to use a validation expression to verify that a contact ' s postal code is a real postal code for the country specified in the contact ' s address.
A developer has created a method with the signature validatePostalCode(anAddress: Address): boolean, which returns true if and only if the postal code is valid.
What would be the correct validation expression?
Answer: B
Explanation:
In Guidewire InsuranceSuite configuration, Validation Expressions (found in the Data Model within entity properties or specialized validation files) follow a specific logic: they must return null if the data is valid, and a non-null value (typically a String representing the error message) if the data is invalid. This is a common point of confusion for developers used to standard Boolean logic where " true " means valid.
In this scenario, the helper method validatePostalCode returns a Boolean (true for valid, false for invalid).
Because Guidewire expects a null result for success, a direct call to a Boolean method is insufficient.
* Option A and C are incorrect because they evaluate to a Boolean value (true or false). If the method returns true, the validation engine receives true instead of null, which it incorrectly interprets as a validation failure.
* Option B is syntactically incorrect as it compares a Boolean to null.
* Option D uses the ternary operator to map the Boolean result to the expected Guidewire logic. If validatePostalCode is true (valid), the expression returns null, which the system treats as " no error found. " If the method is false (invalid), it returns a non-null value (in this exam wording, false). Since false is not null, the Guidewire validation engine identifies this as a failure and prevents the data from being committed or advancing to the next stage.
While best practices in a production environment suggest returning a descriptive String for the user (e.g., " Invalid postal code for this country " ), for the purposes of the developer exam, the logic focuses on the Null
/Non-Null requirement. This mechanism ensures that developers understand how the Guidewire validation framework triggers errors based on the presence of a return value rather than a Boolean state.
NEW QUESTION # 98
A developer is creating an entity for home inspections that contains a field for the inspection date. Which configuration of the file name and the field name fulfills the requirement and follows best practices?
Answer: C
Explanation:
Guidewire ' s Metadata Naming Conventions are strictly enforced to ensure that customer code remains distinct from Guidewire ' s base product code, which is essential for seamless platform upgrades.
When creating a brand-new entity, the developer must use the .eti (Entity Interface) extension. Following Cloud Delivery Standards, the entity name itself must include the _Ext suffix. Therefore, HomeInspection_Ext.eti is the correct file structure. Regarding the fields within that custom entity, Guidewire best practices recommend applying the _Ext suffix to custom columns as well (Option B), even if the entity itself is custom. This provides a consistent visual indicator in Gosu code that the developer is interacting with an extension rather than a base product element.
Option A and C use the .etx extension, which is reserved for extending existing base entities (e.g., adding a field to Claim). Option D is incorrect because it lacks the mandatory suffix on the entity name. Option E uses an invalid file naming format. Following the convention in Option B ensures the data model is compliant with Guidewire ' s automated quality gates.
NEW QUESTION # 99
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