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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment and Maintenance | 10% | - Build and Deployment Process
|
| Topic 2: PCF Configuration and UI Customization | 25% | - Page Configuration Files (PCF)
|
| Topic 3: Integration and Extensibility | 10% | - Integration Frameworks
|
| Topic 4: Gosu Programming and Business Logic | 30% | - Gosu Language Basics
|
| Topic 5: InsuranceSuite Data Model | 25% | - Entities and Relationships
|
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NEW QUESTION # 118
Which statement accurately defines automated Guidewire inspections?
Answer: B
Explanation:
Guidewire Inspectionsare a cornerstone of theStatic Analysisframework built directly into Guidewire Studio. Unlike dynamic testing (like GUnits) which requires code to run, inspections analyze the source code
"as written" to find potential issues early in the development lifecycle.
The primary purpose of these inspections (Option C) is to enforceCloud Delivery Standardsand identify Gosu anti-patterns. Common anti-patterns include:
* Using query.select().toList().where(...) (filtering in memory instead of the database).
* Hardcoding strings instead of using DisplayKeys.
* Missing the _Ext suffix on custom metadata.
By detecting these issues in real-time within the IDE, developers can fix architectural flaws before they are ever committed to Git. Option A is incorrect because many core inspections are enabled by default to ensure baseline quality. Option B is incorrect because Guidewire provides the ability to configure the severity of certain inspections (Warning vs. Error). Option D is incorrect because inspections are a native feature of the Guidewire plugin for IntelliJ/Studio, not a separate secondary plugin.
NEW QUESTION # 119
The following Gosu statement is the Action part of a validation rule:
claim.rejectField( " State " , TC_PAYMENT, DisplayKey.get( " Rules.Validation.Claim.NotInDraft " , null, null)) It produces the following compilation error:
Gosu compiler: Wrong number of arguments to function rejectField(java.lang.String, typekey.
ValidationLevel, java.lang.String, typekey.ValidationLevel, java.lang.String). Expected 5, got 3 What needs to be added to or deleted from the statement to clear the error?
Answer: A
Explanation:
The rejectField method is a member of the Validatable interface in Guidewire and is used within Validation Rules to mark a specific field as invalid. The compilation error clearly states that the compiler expects 5 arguments, but the provided statement only provides 3.
Let ' s analyze the current arguments:
* " State " (The field name - String)
* TC_PAYMENT (The validation level - ValidationLevel typekey)
* DisplayKey.get(...) (The error message - String)
The null, null seen in the snippet are actually parameters inside the DisplayKey.get() method call, meaning they are part of the third argument, not the fourth or fifth. To resolve the error, the developer must provide the remaining two arguments required by the method signature:
4. Error Level: A ValidationLevel typekey that defines the severity of the error.
5. Error Group: A String (or null) representing the validation group.
Option B is correct because it addresses the missing arguments. In many common overloads of rejectField, developers inadvertently pass parameters into the DisplayKey getter instead of the rejectField method itself.
By moving the two null values (or replacing them with the correct types) outside of the DisplayKey parenthesis and into the rejectField argument list, the developer provides the 4th and 5th parameters. This follows the technical requirements for Gosu Syntax and ensures that the validation engine has all necessary metadata to highlight the field in the UI and prevent the claim from moving to the " Payment " status.
NEW QUESTION # 120
Given the image of GroupParentView:
What configuration is needed to add Group.GroupType to a list view using GroupParentView following best practices?
Answer: B
Explanation:
In Guidewire InsuranceSuite, ViewEntities are specialized entities used to optimize the performance of List Views (LVs). Instead of loading full, heavy entity objects into memory (which can cause significant overhead and " N+1 query " issues), a ViewEntity allows the developer to define a " flat " structure that only contains the specific columns needed for display.
1. Extending ViewEntities via .etx (Option C)
When you need to add a field to an existing base ViewEntity, such as GroupParentView, you must follow the standard extension architecture. Since GroupParentView is a base application object, you cannot modify its original definition file (.eti). Instead, you must create or modify an extension file, which has the .etx extension.
Because GroupType is a Typekey (a field linked to a Typelist), the correct metadata tag to use within the ViewEntity definition is < viewEntityType > . This tag maps the typekey from the underlying Group entity to a field on the GroupParentView object. By adding this to the .etx file, you ensure the change is upgrade-safe and follows Guidewire ' s architectural standards.
2. Performance and Best Practices
Why is Option D considered an anti-pattern? In a PCF List View, if you use the syntax GroupParentView.
Group.GroupType, you are " dot-walking " from the ViewEntity back to the full Group entity. This forces the Guidewire application server to load the entire Group object for every single row in the list. If a list has 100 rows, this could result in 100 unnecessary database loads.
By properly mapping the field in the ViewEntity metadata (Option C), the field is included in the initial flattened SQL query generated by the system. This allows the application to retrieve all necessary data for the list in a single, efficient database round-trip. This " Database-First " approach is a core pillar of Guidewire performance tuning and is the primary reason ViewEntities are used in the product.
NEW QUESTION # 121
An insurer wants to add a new typecode for an alternate address to a base typelist EmployeeAddress that has not been extended.
Answer: D
Explanation:
In the Guidewire InsuranceSuite framework, maintaining the integrity of the base configuration is paramount for ensuring a smooth upgrade path. This is achieved through a strict " extension-only " philosophy for out-of- the-box (OOTB) components. When a developer needs to modify a base typelist-like EmployeeAddress- they must understand the distinction between .tti (Typelist Interface) files and .ttx (Typelist Extension) files.
A .tti file defines the original structure and initial typecodes of a typelist. These files are considered " base " and should never be edited directly (making Option C incorrect). If a developer were to modify the base .tti, those changes would be overwritten during the next platform update. To safely add a new typecode to an existing base typelist, Guidewire requires the creation of a .ttx file with the exact same name as the base typelist (e.g., EmployeeAddress.ttx). This extension file tells the Guidewire metadata engine to merge the new entries with the existing ones at runtime.
Furthermore, Guidewire best practices for metadata extensions require specific naming conventions to prevent future " namespace collisions. " While the .ttx file itself adopts the base name, the new typecode added within that file should be suffixed with _Ext (e.g., alternate_Ext). This ensures that if Guidewire later releases a product update that adds an " alternate " code to the base EmployeeAddress typelist, the customer ' s custom code remains unique and does not conflict with the new base code.
Option B is incorrect because you do not create a new .tti with an _Ext suffix for an existing list. Option E is incorrect because .tix is not a valid Guidewire metadata file extension; the correct extension is .ttx. Therefore, Option D is the only choice that follows the correct file creation and naming convention protocols required by the Guidewire development lifecycle.
NEW QUESTION # 122
Which of the following represents logging best practices? Select Two
Answer: A,D
Explanation:
Effective logging in Guidewire InsuranceSuite is a balance between providing enough information for troubleshooting and maintaining system security and performance. Two of the most critical best practices involve Data Privacy and Diagnostic Context.
First, Masking PII (Option A) is a non-negotiable requirement for modern insurance applications, especially those running on the Guidewire Cloud Platform. Personally Identifiable Information, such as social security numbers, credit card details, or even specific personal names and addresses, must never appear as clear text in the application logs. Logs are often aggregated into secondary systems (like Datadog or CloudWatch) and viewed by a wide range of support personnel. If PII is not masked or removed before logging, the company risks failing compliance audits (GDPR, HIPAA, etc.) and exposing sensitive data.
Second, developers should strive to log all information necessary to diagnose the transaction (Option D). This means providing context, such as a PublicID, a specific TransactionID, or the state of an object at the time of an error. Without this context, log entries like " Error processing claim " are useless for troubleshooting. The goal is to provide enough detail so that a developer can understand the failure path without needing to step through the code in a debugger.
Other options are incorrect because they represent poor operational or performance choices. Setting the level to " debug " in production (Option C) can lead to severe performance degradation due to high I/O. While " info " (Option B) is a common default, it is not a " best practice " in the same functional sense as security and diagnosis. Finally, " logging every transaction " (Option E) is not the purpose of application logs; audit trails should be handled via the system ' s built-in History or Event Messaging tables, not the text-based log files, to avoid overwhelming the storage and performance of the application.
NEW QUESTION # 123
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