InsuranceSuite-Developer合格体験記、InsuranceSuite-Developer問題無料
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私たちは絶えずInsuranceSuite-Developerスタディガイドを改善および更新し、時代の開発ニーズと業界のトレンドの変化に応じて、新しい血液を注入します。私たちは、テストInsuranceSuite-Developer認定に関するすべての関連知識を最も簡単で効率的かつ直感的な方法で学習者に教えるように最善を尽くします。専門家に高い報酬を支払って、InsuranceSuite-Developer試験準備の作成に彼らが最大の役割を果たすようにします。国際および国内市場でのInsuranceSuite-Developerテスト問題の割合は常に増加しています。
多くの会社はGuidewire認証の有無によって社員の給料が違います。それに、InsuranceSuite-Developer試験に参加したことがない人にとって、これはいい挑戦です。我々の更新された問題集は多くの受験者を助けました。あなたはInsuranceSuite-Developer試験を準備しているなら、我々の最新の問題集を利用して復習することができます。
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InsuranceSuite-Developer問題無料、InsuranceSuite-Developer PDF
多くの人は結果が大丈夫で過程だけ重要ですって言いますが。GuidewireのInsuranceSuite-Developer試験にとってはそうではない。GuidewireのInsuranceSuite-Developer試験に合格するのはIT業界で働いているあなたに利益をもらわせることができます。もしあなたが試験に合格する決心があったら、我々のGuidewireのInsuranceSuite-Developerソフトを利用するのはあなたの試験に成功する有効な保障です。我々のGuidewireのInsuranceSuite-Developerソフトのデモをダウンロードしてみて我々CertShikenのあなたに合格させる自信を感じられます。
Guidewire Associate Certification - InsuranceSuite Developer - Mammoth Proctored Exam 認定 InsuranceSuite-Developer 試験問題 (Q137-Q142):
質問 # 137
This sample code uses array expansion with dot notation and has performance issues:
What best practice is recommended to resolve the performance issues?
- A. Rewrite the code to use a nested for loop
- B. Break the code into multiple queries to process each array
- C. Replace the .where clause with a .compare function
- D. Replace the dot notation syntax with ArrayLoader syntax
正解:A
解説:
In the Guidewire InsuranceSuite Developer training, specifically within theAdvanced Gosumodules, the
"Array Expansion Operator" (*.) is identified as a double-edged sword. While it provides a clean, declarative syntax for gathering properties from an array of objects into a new collection, it is a common source of performance degradation in complex configurations.
The technical reason for this performance hit is that every time the expansion operator is invoked, Gosu must create anintermediate, temporary collectionin memory to hold the projected values. If you are expanding multiple levels (e.g., Claim.Exposures*.Contacts*.Address), the system is essentially building multiple
"throwaway" lists in the application server's heap. For large datasets, this leads to high memory overhead and triggers frequent garbage collection cycles, which slows down the entire application.
Guidewire's official recommendation is torewrite the code using a nested for loop(Option A). By using explicit procedural iteration, the developer eliminates the need for these hidden intermediate collections. A nested loop allows for "streaming" the data-processing each item as it is reached rather than collecting everything into a list first. This is significantly more memory-efficient. Additionally, nested loops allow developers to integrate "early exit" logic or filters that can prevent the system from even attempting to load certain records from the database, further optimizing the transaction. Following this best practice ensures that the code is not only easier to debug using the Guidewire Profiler but also scales predictably as the insurer's data volume grows.
質問 # 138
An insurer requires specific fields for a new Adjuster contact, which is a specific type of User contact. Which actions follow best practices for adding these Adjuster-specific fields? (Select two)
- A. Create a new entity AdjusterDetails_Ext and link it via foreign key to User.
- B. Create an Adjuster subtype entity.
- C. Define the Adjuster fields directly in the base User entity.
- D. Add the new fields to the Adjuster subtype entity.
正解:B、D
解説:
Guidewire ' s Data Model Architecture utilizes Subtyping to handle scenarios where a general entity (like User or Contact) needs specialized variations. When the business requirement calls for an " Adjuster " that has unique fields not shared by other users (such as an " Adjuster License Number " or " Authority Level " ), the best practice is to extend the existing hierarchy.
First, the developer must Create an Adjuster subtype entity (Option C). By making Adjuster a subtype of User, the new entity inherits all the standard fields, arrays, and foreign keys of the parent User entity. This preserves the " is-a " relationship, allowing an Adjuster to be used anywhere the system expects a User object (such as in assignment logic or UI participants lists).
Second, the developer should Add the new fields directly to the Adjuster subtype entity (Option A). Because these fields are defined only on the subtype, they do not " clutter " the base User table or impact the memory footprint of other user types (like underwriters or agents). This is far more efficient than adding fields to the base entity and leaving them null for everyone else (Option B).
Using a separate entity with a Foreign Key (Option D) is generally discouraged for " type-specific " data because it requires extra database joins and more complex Gosu logic to retrieve related data. Subtyping leverages Guidewire ' s built-in polymorphic capabilities, ensuring that the application remains performant and the data model remains clean and logically organized.
質問 # 139
In ClaimCenter, the Desktop- > Claims page contains a ListView that is backed by a View Entity ClaimDesktopView.eti. The company would like to add a column to the Claim Validation Level in this List View. Following best practice, which of the following steps are required to fulfill this requirement?
- A. Add a typekey in ClaimDesktopView.etx with name: ValidationLevel_Ext and path: Claim.
ValidationLevel. - B. Add a computedColumn in ClaimDesktopView.etx with name: ValidationLevel and path: Claim.
ValidationLevel. - C. Add a viewEntityTypekey in ClaimDesktopView.etx with name: ValidationLevel and path: Claim.
ValidationLevel. - D. Add a computedTypekey in ClaimDesktopView.etx with name: ValidationLevel_Ext and path: Claim.
ValidationLevel.
正解:C
解説:
View Entities (.eti files ending in View) are specialized data model objects used to provide high-performance, read-only data for ListViews. They function similarly to a SQL View, joining multiple tables to retrieve only the specific fields needed for a display grid.
When extending a base view entity like ClaimDesktopView, standard data model tags like column or typekey (Option B) are not used. Instead, Guidewire provides a specific set of " View Entity " tags. Because ValidationLevel is a typelist on the Claim entity, the correct tag to use in the .etx file is viewEntityTypekey (Option C). This tag tells the platform that the field is derived from a typelist and ensures that the UI renders it with the correct localized display names and icons.
The path attribute is equally critical; it defines the " traversal " from the view entity to the source data. Since ClaimDesktopView typically has a link to the Claim entity, the path Claim.ValidationLevel correctly instructs the system to pull the value from the related Claim record. While best practices for standard entities usually mandate the _Ext suffix, view entities often mirror the base field name for clarity unless a collision occurs.
However, the use of the viewEntityTypekey tag is the fundamental architectural requirement for this task, as computedTypekey and computedColumn (Options A and D) are intended for logic-heavy Gosu expressions rather than simple database-backed path traversals.
質問 # 140
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?
- A. Adding the following options to a new BusinessType_Ext.ttx file:Code: auto_repair_shop, Code:
home_inspector, Code: collection_agency - B. Adding the following options to the existing BusinessType.ttx file:Code: auto_repair_shop, Code:
home_inspector, Code: collection_agency - C. Adding the following options to a new BusinessType_Ext.tti file:Code: auto_repair_shop, Code:
home_inspector, Code: collection_agency - D. Adding the following options to the BusinessType.tti file:Code: auto_repair_shop_Ext, Code:
home_inspector_Ext, Code: collection_agency_Ext
正解:B
解説:
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.
質問 # 141
What is a benefit of archiving?
- A. Reindexes the contents of the database to increase data retrieval speed
- B. Reduces database size by permanently removing data marked for purge
- C. Reorganizes and compresses the contents of the database to conserve space
- D. Improves application performance by reducing the size of the database
正解:D
解説:
Archiving is a vital data management strategy within the Guidewire InsuranceSuite, particularly for long- running production environments where the volume of historical data can grow exponentially. The primary objective of archiving is to move "closed" or "inactive" business objects-such as claims that have been settled for several years or expired policies-out of the active, operational database and into a separate, secondary storage area.
According to the Guidewire documentation, the most significant benefit of this process is theimprovement of application performance(Option B). As the operational database grows, the time required for the database engine to perform index scans, joins, and general queries increases. By periodically moving inactive data to the archive, the size of the "live" database tables remains manageable. This leads to faster search results, quicker page load times, and more efficient database maintenance tasks like backups and consistency checks.
It is important to distinguish archiving from other database operations.Purging(Option D) involves the permanent deletion of data, whereas archiving preserves the data for future retrieval or regulatory compliance.
Reindexing(Option C) andcompression(Option A) are physical database maintenance tasks that optimize how data is stored on disk but do not address the fundamental issue of data volume in the same way that moving entire business graphs to an archive does. Archiving ensures that the core application remains lean and responsive for day-to-day transactions while still fulfilling the legal and business requirements for data retention.
質問 # 142
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