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Guidewire InsuranceSuite-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Data Model and Metadata Structures	- Define and extend the application business objects schema 1. Configure typelists, enumerations, and custom typekeys 2. Analyze entity base files (.eti) and implement extension files (.etx) 3. Understand startup metadata load, schema generation, and graph validations
Topic 2: User Interface and PCF Configuration	- Configure Page Configuration Format (PCF) components and layouts 1. Configure data cells and back list views with view entities like ActivityDesktopView 2. Modify atomic widgets, Detail Views, and List Views 3. Manage display keys, text labels, and localized UI properties
Topic 3: Gosu Rules and Programming Logic	- Implement business logic and rule sets using the Gosu programming language 1. Construct database filtering logic and handle entity queries via gw.api.database.Query 2. Manage application actions, conditional filtering, and variable mapping 3. Write efficient execution rules to prevent infinite loops and optimize performance
Topic 4: Developing in the Cloud and Best Practices	- Align software modifications with Guidewire Cloud implementation standards 1. Isolate system health hazards and validate code quality against platform considerations 2. Configure future-proofed, scalable, and cloud-ready platform components 3. Enforce database performance standards and optimize memory allocation rules

>> InsuranceSuite-Developer Quizfragen Und Antworten <<

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Guidewire Associate Certification - InsuranceSuite Developer - Mammoth Proctored Exam InsuranceSuite-Developer Prüfungsfragen mit Lösungen (Q84-Q89):

84. Frage
A developer wrote the following query to create a list of activities sorted by activity pattern, and then returns the first activity for a failed policy bind:

This query uses the sortBy() and firstwhere() methods which are anti-patterns. Where should the developer handle the filtering and sorting to follow best practices?

A. In a block statement
B. In the database
C. On the application server
D. In the application cache

Antwort: B

Begründung:
In Guidewire InsuranceSuite development, one of the most critical performance principles is " database-first " processing. When using the Gosu Query API, developers have two ways to manipulate data: at the Database level (via the Query object) or at the Application Server level (via the Result/Collection object).
Methods like sortBy() and firstWhere() are part of the Gosu collection library. When applied to a query result, these methods trigger the execution of the SQL query, fetch all matching records from the database into the application server ' s memory, and then perform the sorting and filtering in the Java/Gosu heap. This is a significant anti-pattern because it consumes excessive memory and CPU cycles on the application server, especially if the underlying table (like Activity) contains thousands or millions of rows.
According to best practices, the developer should handle filtering and sorting in the database (Option C). This is achieved by using the compare() and orderBy() methods directly on the Query object before calling .select().
By doing so, Guidewire generates a SQL statement with a WHERE clause for filtering and an ORDER BY clause for sorting. The database engine, which is highly optimized for these operations, then returns only the specific record needed. For the " first " record requirement, the developer should combine the database-level orderBy() with a getFirstResult() call on the result set. This ensures that only the minimal required data is transferred over the network and loaded into memory, maintaining high application throughput and preventing
" OutOfMemory " errors.

85. Frage
As a developer you are creating a new Gosu class for Succeed Insurance. According to the course material, which of the following statements define how you should implement logging in your new class? (Choose Two)

A. When logging an exception, provide details about the cause of the exception. Because you are providing a detailed description there is no need to log the exception message or stack trace.
B. Logging in the cloud can be provided in either a string format or JSON.
C. When logging at the debug level you should check to see if debugging in enabled first to minimize possible performance issues.
D. Checking the log level before logging is usually unnecessary, as logging typically has minimal impact on performance.
E. When logging Personal Identifiable Information (Pll), developers should log the information at least at the INFO level.
F. All exceptions are errors, thus they should always be logged at the error level.
G. Providing context when logging errors is essential. However, developers should avoid excessive logging, as it can be costly to implement and maintain, and it may negatively impact performance.

Antwort: C,G

Begründung:
In Guidewire development, logging is a critical tool for troubleshooting and monitoring, but it must be implemented with a focus on system performance and security. According to the Guidewire InsuranceSuite Developer guidelines, "excessive logging" is a common source of performance degradation. Developers are instructed to provide meaningful context for errors so that support teams can diagnose issues without needing to reproduce them manually. However, logging should be used judiciously; logging too much data (Option D) increases I/O overhead and can clutter logs, making it difficult to find relevant information.
A specific best practice highlighted in the course material involves the use of theDebuglog level. Because debug messages often involve complex string concatenation or data retrieval that consumes CPU cycles, developers should wrap these calls in a conditional check. By using if (logger.isDebugEnabled()) (Option C), the system avoids the cost of constructing the log message entirely if the current logging level is set to a higher priority, such as INFO or WARN. This practice is essential for maintaining high throughput in a production environment where debug logging is typically disabled.
Other options provided are contrary to Guidewire standards. For instance,Personal Identifiable Information (PII)(Option F) shouldneverbe logged in plain text due to data privacy regulations (GDPR/CCPA), and logging it at an INFO level would be a major security violation. Furthermore, while exceptions should be logged, not all exceptions are errors (some are expected business logic flows), and when they are logged, the stack trace is vital for debugging (refuting Option B). Guidewire Cloud primarily standardizes on structured logging (JSON) for observability, but the fundamental developer best practices regarding performance (C and D) remain the primary focus of the Fundamentals course.

86. Frage
Which two are capabilities of the Guidewire Profiler? (Select two)

A. Track time spent in the web browser
B. Track where time is spent in Guidewire application code
C. Measure network latency between the database server and application server
D. Measure network latency between the browser and application server
E. Provide timing information of application calls to external services

Antwort: B,E

Begründung:
TheGuidewire Profileris an essential diagnostic tool used to capture and analyze performance data from the perspective of the application server. Its primary function is to help developers identify "hotspots"-areas of the code that consume excessive time or resources-during the execution of a specific transaction, such as a page load, a batch process, or a web service call.
According to theSystem Health & Qualitycurriculum, the first major capability of the Profiler istracking time spent within Guidewire application code(Option A). When profiling is active, the tool records the execution time of Gosu methods, business rules, and even PCF expressions. It provides a hierarchical "stack trace" view, allowing developers to see exactly which function or rule is responsible for a delay. This is particularly useful for detecting inefficient loops or complex logic that may be slowing down the user experience.
The second key capability isproviding timing information for external service calls(Option D). In a modern InsuranceSuite ecosystem, applications frequently communicate with external systems for credit scores, address validation, or payment processing. The Profiler monitors these "exit points" (such as SOAP or REST integrations) and records the duration of each call. By analyzing this data, a developer can determine if a performance issue is internal to the Guidewire application or if it is caused by a slow response from an external vendor's API.
It is important to note that the Profiler is aserver-side tool. It does not measure browser-side rendering time (Option E) or network latency between the client and the server (Option C). While it provides metadata about database queries, its focus is on the application's execution of those queries rather than raw network latency (Option B). By focusing on internal code and external integrations, the Profiler gives developers a clear view of the application's functional performance.

87. Frage
Which statements describe best practices when using bundles in Gosu to save new entities/edit existing entities? (Select Two)

A. Never call commit() within a runWithNewBundle() statement.
B. Obtain a bundle using gw.transaction.Transaction.getCurrent().
C. Add all entities to the bundle, not just those which will be edited.
D. Explicitly call the commit() method on the bundle outside of a managed block.
E. Create a new bundle using gw.transaction.Transaction.runWithNewBundle().
F. Commit changes individually for each entity.

Antwort: A,E

Begründung:
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.

88. Frage
Which two statements are true regarding the Guidewire Cloud Assurance process? (Select two)

A. Cloud Assurance applies to both new Guidewire Cloud implementations and customer projects migrating self-managed implementations into Guidewire Cloud Platform.
B. Items in the Optimization Backlog must be resolved before deployment to the Cloud.
C. The Optimization Backlog includes Guidewire suggestions for improvement.
D. Cloud Assurance applies to new Guidewire Self-managed implementations.
E. Cloud Assurance does not apply to customer projects migrating self-managed implementations into Guidewire Cloud Platform.

Antwort: A,C

Begründung:
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.

89. Frage
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