Guidewire InsuranceSuite-Developer Related Exams | InsuranceSuite-Developer Latest Exam Format

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Guidewire InsuranceSuite-Developer Exam Syllabus Topics:

SectionObjectives
Topic 1: Guidewire Platform Fundamentals- InsuranceSuite product overview
- Platform architecture basics
Topic 2: User Interface (PCF)- UI customization and navigation flows
- Page Configuration Files (PCF) structure
Topic 3: Gosu Programming- Core Gosu syntax and constructs
- Business logic implementation in Guidewire
Topic 4: Data Model and Configuration- Typelist configuration and metadata
- Entity model and extensions
Topic 5: Business Rules and Logic- Validation rules and workflows
- Rule execution order and lifecycle
Topic 6: InsuranceSuite Architecture- PolicyCenter, BillingCenter, ClaimCenter interaction
- Data flow and system integration concepts
Topic 7: Deployment and Environment Management- Environment configuration
- Deployment lifecycle and best practices
Topic 8: Integration and APIs- Inbound and outbound integration mechanisms
- Web services and integration patterns
Topic 9: Testing and Debugging- Unit testing in Guidewire environment
- Debugging tools and techniques

>> Guidewire InsuranceSuite-Developer Related Exams <<

InsuranceSuite-Developer Latest Exam Format | InsuranceSuite-Developer New Real Exam

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Guidewire Associate Certification - InsuranceSuite Developer - Mammoth Proctored Exam Sample Questions (Q25-Q30):

NEW QUESTION # 25
Which log message follows logging best practices in production?

Answer: A

Explanation:
In theGuidewire InsuranceSuite Developer Fundamentalscourse, logging best practices are strictly tied to two primary concerns:Security (PII protection)andTroubleshooting Efficiency.
Option A is the correct choice because it providescontextual, structured datawithout revealing sensitive information. It includes the method name (createClaim) and the unique database identifier (PublicID). Using the PublicID is the gold standard in Guidewire development because it allows developers to look up the exact record in the database or the UI without loggingPersonally Identifiable Information (PII). This ensures compliance with data privacy regulations like GDPR and CCPA.
In contrast, Options B and C are significant security violations. Option B logs a name and a driver's license number, while Option C logs a name, email address, and vehicle details. These are all considered PII and should never appear in clear text in application logs. Option D is poor practice because it is "noisy" and lacks specific context (like a claim number or timestamp) that would help a developer determinewhichattempt failed, and the use of "ERROR!" with an exclamation mark is non-standard for system logs. Structured logging, as seen in Option A, allows automated tools like Datadog to parse the logs more effectively.


NEW QUESTION # 26
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: A

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 # 27
As a developer for Succeed Insurance, you have been given a requirement to add the following options to a ContactManager typelist BusinessType that was provided with the product:
* Auto Repair Shop
* Home Inspector
* Collection Agency
Following best practices, which of the following options correctly adds these options to the existing typelist?

Answer: C

Explanation:
In Guidewire InsuranceSuite, typelists are defined using two types of metadata files: .tti (Typelist Internal) and .ttx (Typelist Extension). The .tti files contain the base out-of-the-box (OOTB) codes provided by Guidewire and should never be modified by a developer. Direct modifications to base files are not upgrade- safe and violate the core architectural principles of the platform.
To add custom codes to an existing typelist, the best practice is to use the extension file associated with that typelist, which carries the .ttx suffix. If the file BusinessType.ttx already exists in the configuration module, the developer simply adds the new typecode elements to it. If it does not exist, the developer creates it with the same name as the base typelist. At runtime, the Guidewire platform performs a " metadata merge, " combining the base codes from the .tti with the custom codes from the .ttx.
Option D is incorrect because the extension file should not have _Ext appended to the filename itself; it must match the name of the base typelist exactly to be recognized by the system. Option C is incorrect because .tti files are reserved for Guidewire ' s internal use. By following the pattern in Option A, the developer ensures that the new options (Auto Repair Shop, Home Inspector, and Collection Agency) are seamlessly integrated into the application while maintaining a clean, upgradeable configuration. This is a fundamental concept in Data Model Configuration and metadata management.


NEW QUESTION # 28
Which statements describe best practices when using bundles in Gosu to save new entities/edit existing entities? (Select Two)

Answer: A,F

Explanation:
Managing transactions in Guidewire requires a deep understanding of Bundles. 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, and automatically commits the changes when the block reaches the end. Therefore, a critical best practice is to never call commit() manually inside 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 # 29
Which statements describe best practices when using bundles in Gosu to save new entities/edit existing entities? (Select Two)

Answer: A,F

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 # 30
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