Guidewire InsuranceSuite-Developer日本語版試験勉強法 & InsuranceSuite-Developerテスト問題集

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Guidewire InsuranceSuite-Developer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Integration and Extensibility10%- Integration Frameworks
  • 1. External system connectivity
  • 2. Web services and APIs
Topic 2: PCF Configuration and UI Customization25%- Page Configuration Files (PCF)
  • 1. Modifying screens and layouts
  • 2. Structure and syntax
- UI Components and Behavior
  • 1. Widgets, controls, and validation
  • 2. Navigation and workflow integration
Topic 3: Gosu Programming and Business Logic30%- Gosu Language Basics
  • 1. Classes, interfaces, and inheritance
  • 2. Syntax, data types, and collections
- Rules, Events, and Logging
  • 1. Business rule implementation
  • 2. Event handlers and processing
  • 3. Logging and debugging techniques
Topic 4: InsuranceSuite Data Model25%- Entities and Relationships
  • 1. Core entity structure
  • 2. Relationship types and cardinality
- Data Extensions and Customization
  • 1. Typecodes and Typelists
  • 2. Adding custom fields and entities
Topic 5: Deployment and Maintenance10%- Build and Deployment Process
  • 1. Version control and updates
  • 2. Packaging and deployment steps

>> Guidewire InsuranceSuite-Developer日本語版試験勉強法 <<

Guidewire InsuranceSuite-Developerテスト問題集、InsuranceSuite-Developer日本語独学書籍

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Guidewire Associate Certification - InsuranceSuite Developer - Mammoth Proctored Exam 認定 InsuranceSuite-Developer 試験問題 (Q125-Q130):

質問 # 125
A business analyst provided a requirement to create a list of Payment Types accepted by vendors. The list will include the values Cash, Credit Card, Debit Card, Check, and EFT. It will be linked to Company Vendors.
Following best practices for creating a new typelist, how can this requirement be configured in the data model?

正解:B

解説:
When a developer needs to introduce an entirely new set of values that does not exist in the base InsuranceSuite product, they must create anew Typelist. According to the Guidewire Data Model architecture, the proper way to define a new, customer-specific typelist is by creating a.tti (Typelist Interface) file within theExtensionsfolder of the configuration.
Following the naming conventions established for Guidewire Cloud and InsuranceSuite extensions, any new metadata object created by a customer should include the_Extsuffix. Therefore, the typelist should be named PaymentType_Ext.tti (Option C). This suffix clearly distinguishes the insurer's custom metadata from any current or future "Out of the Box" (OOTB) typelists provided by Guidewire. By placing it in the Extensions -
> Typelist folder, the developer ensures that the new list is recognized by the metadata compiler and correctly integrated into the application.
It is important to understand why the other options are incorrect:
* Option A:Uses a .ttx file. .ttx files are used only toextend existingbase typelists (adding new codes to a list Guidewire already provides). They cannot be used to define a brand-new list.
* Option B:Uses a .tix extension, which is not a valid Guidewire metadata extension, and places it in the Metadata folder, which is reserved for base product files.
* Option D:Places a .tti in the Metadata folder without the required _Ext suffix, which violates the upgrade-safety principle and risks a name collision with future base product updates.


質問 # 126
Business analysts have provided a requirement to store contacts' usernames in the Click-Clack social media website in a single field on the Contact entity. Which solution follows best practices and fulfills the requirement?

正解:C

解説:
InGuidewire InsuranceSuite, extending the data model to accommodate custom business requirements must follow strict architectural standards to ensure the application remains upgradeable and compliant withCloud Delivery Standards.
1. The Importance of the Naming Suffix (The _Ext rule)
The primary rule in Guidewire configuration is that any customer-added element (entities, fields, or typelists) mustbe suffixed with_Ext. As specified in theInsuranceSuite Developer Fundamentalscourse, this suffix serves as a "namespace" that prevents naming collisions with future base-product updates provided by Guidewire. If you were to name a field simply ClickClack (as in Options B and C), and a future Guidewire update introduced a field with the exact same name, the application server would fail to start due to metadata conflict. Therefore, the field must be named ClickClack_Ext.
2. Selecting the Correct Data Type
For a social media username, the developer must choose the most efficient and semantically appropriate data type.
* shorttext (Option D):This is the standard type for strings up to 60 characters. It is the most appropriate for a username, as it is indexed efficiently by the database and provides enough space for almost any social media handle.
* addressline (Option A):While this is also a string type (typically 60 characters), it is semantically intended for physical street addresses. Using it for social media handles is poor practice as it makes the metadata confusing for other developers.
* blob (Option B):This is used for "Binary Large Objects," such as images or documents. Using a blob for a simple text username would cause massive performance issues during searches and consume unnecessary database storage.
By choosingOption D, the developer ensures that the field is clearly identified as a custom extension and uses the most performant data type for the specific information being stored. This follows the "KISS" (Keep It Simple, Stupid) principle and Guidewire's automated quality gates for Cloud deployments.


質問 # 127
The Marketing department wants to add information for attorneys and doctors; For doctors, store the name of their medical school. For attorneys, store the name of their law school.
Which two data model extensions follow best practices to fulfill this requirement? (Select two)

正解:D、E

解説:
When extending the Guidewire Data Model, developers must choose the most efficient storage mechanism based on the nature of the data and its relationship to existing entities. In this scenario, the requirement is to store a single piece of information-a school name-for two specific subtypes of person contacts: Doctors and Attorneys.
According to Guidewire best practices for Entity Extensions, if a piece of data has a one-to-one relationship with an entity and is a simple data type (like a String/Varchar), it should be added directly to the entity extension file (.etx) as a column. Options B and C follow this principle. By adding MedSchool_Ext to the ABDoctor entity and LawSchool_Ext to the ABAttorney entity, the developer ensures that the data is stored in the specific table where it is relevant. This avoids unnecessary complexity in the database schema and simplifies UI configuration, as the fields can be accessed directly from the object without traversing a foreign key or array.
Alternatives like creating separate entities for the school names (Options A, D, and F) or using an array on the base person entity (Option E) represent "over-engineering." Creating a separate entity and a foreign key is only recommended if the data needs to be normalized (e.g., if multiple people share the exact same school record and that record has its own attributes like address or accreditation). In the context of a Marketing request to simply capture a name, adding a varchar column with the mandatory _Ext suffix is the most performant and maintainable approach. It keeps the database joins to a minimum and follows the Guidewire
"KISS" (Keep It Simple, Stupid) principle for configuration.


質問 # 128
Given the following query:
uses gw.api.database.Query
var query = Query.make(Claim)
query.compare(Claim#ClaimNumber, Equals, " 123-45-6789 " )
var claim = query.select().AtMostOneRow
Which follows the best practice to find the urgent open activities of the claim, considering the memory usage and bundle size?

正解:D

解説:
In Guidewire InsuranceSuite, managing how data is retrieved from the database is critical for system performance, specifically regarding memory usage and the bundle size. A primary goal for any developer is to ensure that filtering happens at the database level rather than within the application server ' s memory.
Options B and C demonstrate a common but inefficient pattern: accessing an array directly (e.g., claim.
Activities). When you access an array on an entity, the Guidewire platform automatically loads every related record in that array into the application server ' s memory and adds them to the current Bundle. If a claim has hundreds of activities, but you only need the three that are " Urgent " and " Open, " Options B and C still force the system to load all of them. This consumes significant memory and increases the overhead of the bundle, which can lead to performance degradation or " Out of Memory " errors in high-volume environments.
Option D is the verified best practice. By using the Gosu Query API (Query.make(Activity)), the developer can build a specific SQL statement. Using the .compare() method for the Priority, Status, and the link to the Claim ensures that all three criteria are passed to the database as part of the WHERE clause. When .select() is called, the database engine filters the records and returns only the specific rows that meet all requirements.
Consequently, only the necessary objects are loaded into the application server ' s memory and added to the bundle. Option A is less efficient because it uses a Gosu lambda (.where) after the select, which performs the final filtering in memory rather than at the database tier. Following the pattern in Option D minimizes the data
" payload " and ensures the application remains scalable and responsive.


質問 # 129
A developer has completed a configuration change in an InsuranceSuite application on their local environment. According to the development lifecycle described in the training, which initial steps are required to move this change towards testing and deployment? Select Two

正解:A、C

解説:
TheGuidewire Cloud Platform (GWCP)development lifecycle is built around a modern CI/CD (Continuous Integration/Continuous Delivery) pipeline. This process moves code from a developer's local workstation through various "Planets" (environments) using integrated tools like Bitbucket, TeamCity, and Guidewire Home.
The first step in moving a local change toward production is committing andpushing the code to Bitbucket (Option C). Bitbucket serves as the centralized Git-based source code repository. This action triggers the
"Build" phase of the lifecycle. Once the code is in Bitbucket, the next step involves the CI server,TeamCity.
TeamCity is responsible for compiling the Gosu code, running automated GUnit tests, and performing static code analysis (Quality Gates). While TeamCity is often configured to trigger automatically upon a push, a developer may need to manuallytrigger or monitor the build via Guidewire Home(Option D) if they need immediate feedback or if the automation is set to a specific schedule.
Options such as "Deploying directly to pre-production" (Option A) are impossible in the GWCP model, as code must first pass through the "Dev" planet and satisfy quality gates before being promoted. "Scheduling automated builds" (Option B) is an administrative task, not an initial step for a developer's specific change.
Finally, "creating a star system" (Option E) refers to the infrastructure setup usually handled by Guidewire Cloud operations, not a part of the standard code-change lifecycle. Following the C and D sequence ensures that the code is properly versioned, tested, and validated before it ever reaches a runtime environment.


質問 # 130
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