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| Section | Objectives |
|---|---|
| Business Rules and Logic | - Rule execution order and lifecycle - Validation rules and workflows |
| Deployment and Environment Management | - Deployment lifecycle and best practices - Environment configuration |
| User Interface (PCF) | - Page Configuration Files (PCF) structure - UI customization and navigation flows |
| Gosu Programming | - Business logic implementation in Guidewire - Core Gosu syntax and constructs |
| Data Model and Configuration | - Entity model and extensions - Typelist configuration and metadata |
| Integration and APIs | - Inbound and outbound integration mechanisms - Web services and integration patterns |
| InsuranceSuite Architecture | - PolicyCenter, BillingCenter, ClaimCenter interaction - Data flow and system integration concepts |
| Guidewire Platform Fundamentals | - Platform architecture basics - InsuranceSuite product overview |
| Testing and Debugging | - Unit testing in Guidewire environment - Debugging tools and techniques |
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NEW QUESTION # 90
What are two types of Guidewire Profiler? (Select two)
Answer: A,E
Explanation:
The Guidewire Profiler is the primary tool used by developers to diagnose performance issues in InsuranceSuite. It functions by instrumenting " stacks " of code execution and reporting the time spent in various operations like database queries or Gosu rules. According to the System Health and Quality documentation, the Profiler is categorized by how it is triggered and what it monitors.
The Web Profiler (Option A) is used to analyze performance within the user interface. When enabled, it captures the execution of a single web request (a page load or a button click), allowing the developer to see exactly which PCF widgets or page-level Gosu expressions are causing latency.
The Entry-point Profiler (Option D) is a broader category that includes profiling for non-UI operations. Entry points are the " doors " through which the application begins a task. Common entry points that can be profiled include Batch Processes, Work Queue Executors, and Web Services (API calls). By selecting an entry-point profiler, a developer can monitor the performance of background jobs or external integrations that do not have a direct UI component.
Options like Database Performance (Option B) are not specific types of the Profiler itself, but rather outcomes or areas of analysis that the profiler provides. Exit-point (Option C) and Worksheet (Option E) are not recognized classifications of the profiling tool in the Guidewire developer curriculum. Understanding these two types allows developers to strategically apply performance monitoring across the entire application stack.
NEW QUESTION # 91
The Cost entity contains the fields TotalPremium and Tax. The application needs to calculate the total cost as a sum of those two fields dynamically and wants to create a reusable solution. Which configuration is appropriate and efficient to achieve this task?
Answer: A
Explanation:
In Guidewire development, the best practice for adding derived or calculated logic to an entity is using aGosu Enhancement. An enhancement allows you to add methods and properties to a base entity without modifying the underlying physical database schema or the original .eti file.
According to theInsuranceSuite Developer Fundamentalscourse, aread-only property (getter)is the most appropriate way to handle a dynamic calculation like "Total Cost." By defining a property get, the value is calculated on-the-fly whenever it is accessed. This ensures the data is always accurate and reflects the current state of TotalPremium and Tax without the risk of data desynchronization.
Option C is inefficient because adding a physical column to the database for a value that can be easily derived increases database size and requires complex logic to keep the "stored" total in sync with the source fields.
Option D is an anti-pattern; while calculating in a PCF works, it is notreusable-if you needed the total in a different page or a business rule, you would have to duplicate the logic. Option B is logically incorrect as a property set is used to assign values, not to return a calculated result.
NEW QUESTION # 92
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: B
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 # 93
An insurer ran the DBCC checks against a copy of their production database and found three errors with high counts in the categoryData update and reconciliation. What are two best practices for resolving the errors?
(Select two)
Answer: C,E
Explanation:
Database Consistency Checks (DBCCs) are the "canary in the coal mine" for data integrity. When high error counts appear in theData update and reconciliationcategory, it usually implies that recent configuration changes (Gosu rules, enhancements, or batch processes) are generating data that violates the underlying metadata constraints.
The first best practice isRoot Cause Analysis(Option A). Simply fixing the data in the database is a "band- aid" solution; if the underlying Gosu code that created the bad data is not fixed, the errors will immediately return. Developers must trace the lifecycle of the affected entities to find where the logic is failing.
The second best practice is to leverage theGuidewire Community Knowledge Base(Option E). Many DBCC errors, especially those following a version upgrade or a major configuration change, have been encountered by other insurers. The Knowledge Base often provides specific SQL patterns or Gosu fixes tailored to known platform behaviors.
Why other options are incorrect:
* Option Bis dangerous; never promote code known to cause database inconsistencies to a production environment.
* Option Cis irresponsible; data corruption should be addressed as soon as it is detected.
* Option Dis a partial fix, but "running the script immediately" without a code fix or support review (as discussed in Question 61) is high-risk and violates Cloud Assurance standards.
NEW QUESTION # 94
ABPersonVendor is an entity in the base application. An insurer needs to add a new person vendor type for auditors. Which configuration fulfills the requirement and follows the best practices?
Answer: C
Explanation:
In the Guidewire Data Model, representing specialized versions of existing objects is handled throughEntity Inheritance (Subtyping). In this scenario, an "Auditor" is a specific type of "Person Vendor." While they likely share the core attributes of a person vendor (name, tax ID, address), they may have specific requirements or behaviors unique to their role.
According to Guidewire best practices, when you need to create a specialized category of a base entity that requires its own distinct identity or specific additional fields, you should create aSubtype. Option B is the correct implementation: creating ABAuditor_Ext.eti and defining its supertype as ABPersonVendor. This allows the Auditor to inherit all fields, arrays, and foreign keys from the parent vendor entity while allowing the developer to add auditor-specific logic. The use of the .eti extension is correct for defining the new subtype entity, and the _Ext suffix follows the mandatory naming convention for custom extensions.
Option A (adding a column) is less flexible because it doesn't allow for the object-oriented benefits of subtyping, such as specific type-checking in Gosu. Option C (foreign key) creates a "Has-A" relationship rather than an "Is-A" relationship, which complicates the data model and UI logic. Option D is incorrect because an .etx file is used to add fields to anexistingentity, not to define a new specialized entity type.
Subtyping ensures that the "Auditor" can be used anywhere a "Person Vendor" is expected, providing clean, polymorphic behavior across the InsuranceSuite applications.
NEW QUESTION # 95
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