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| Section | Objectives |
|---|---|
| Topic 1: Data Model and Metadata Structures | - Define and extend the application business objects schema
|
| Topic 2: User Interface and PCF Configuration | - Configure Page Configuration Format (PCF) components and layouts
|
| Topic 3: Gosu Rules and Programming Logic | - Implement business logic and rule sets using the Gosu programming language
|
| Topic 4: Developing in the Cloud and Best Practices | - Align software modifications with Guidewire Cloud implementation standards
|
>> InsuranceSuite-Developer日本語問題集 <<
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質問 # 123
An insurer doing business globally wants to use a validation expression to verify that a contact ' s postal code is a real postal code for the country specified in the contact ' s address.
A developer has created a method with the signature validatePostalCode(anAddress: Address): boolean, which returns true if and only if the postal code is valid.
What would be the correct validation expression?
正解：B
解説：
In Guidewire InsuranceSuite configuration, Validation Expressions (found in the Data Model within entity properties or specialized validation files) follow a specific logic: they must return null if the data is valid, and a non-null value (typically a String representing the error message) if the data is invalid. This is a common point of confusion for developers used to standard Boolean logic where " true " means valid.
In this scenario, the helper method validatePostalCode returns a Boolean (true for valid, false for invalid).
Because Guidewire expects a null result for success, a direct call to a Boolean method is insufficient.
* Option A and C are incorrect because they evaluate to a Boolean value (true or false). If the method returns true, the validation engine receives true instead of null, which it incorrectly interprets as a validation failure.
* Option B is syntactically incorrect as it compares a Boolean to null.
* Option D uses the ternary operator to map the Boolean result to the expected Guidewire logic. If validatePostalCode is true (valid), the expression returns null, which the system treats as " no error found. " If the method is false (invalid), it returns a non-null value (in this exam wording, false). Since false is not null, the Guidewire validation engine identifies this as a failure and prevents the data from being committed or advancing to the next stage.
While best practices in a production environment suggest returning a descriptive String for the user (e.g., " Invalid postal code for this country " ), for the purposes of the developer exam, the logic focuses on the Null
/Non-Null requirement. This mechanism ensures that developers understand how the Guidewire validation framework triggers errors based on the presence of a return value rather than a Boolean state.
質問 # 124
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)
正解：A、C
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 # 125
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?
正解：C
解説：
In Guidewire InsuranceSuite development, one of the most critical performance principles is "database-first" processing. When using the GosuQuery API, developers have two ways to manipulate data: at theDatabase level(via the Query object) or at theApplication 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, fetchallmatching 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 sortingin 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.
質問 # 126
A developer is creating an entity for home inspections that contains a field for the inspection date. Which configuration of the file name and the field name fulfills the requirement and follows best practices?
正解：D
解説：
Guidewire ' s Metadata Naming Conventions are strictly enforced to ensure that customer code remains distinct from Guidewire ' s base product code, which is essential for seamless platform upgrades.
When creating a brand-new entity, the developer must use the .eti (Entity Interface) extension. Following Cloud Delivery Standards, the entity name itself must include the _Ext suffix. Therefore, HomeInspection_Ext.eti is the correct file structure. Regarding the fields within that custom entity, Guidewire best practices recommend applying the _Ext suffix to custom columns as well (Option B), even if the entity itself is custom. This provides a consistent visual indicator in Gosu code that the developer is interacting with an extension rather than a base product element.
Option A and C use the .etx extension, which is reserved for extending existing base entities (e.g., adding a field to Claim). Option D is incorrect because it lacks the mandatory suffix on the entity name. Option E uses an invalid file naming format. Following the convention in Option B ensures the data model is compliant with Guidewire ' s automated quality gates.
質問 # 127
Which of the following represents logging best practices? Select Two
正解：B、C
解説：
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 involveData PrivacyandDiagnostic 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 tolog 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-inHistoryorEvent Messagingtables, not the text-based log files, to avoid overwhelming the storage and performance of the application.
質問 # 128
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