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| Section | Objectives |
|---|---|
| Data Model and Metadata Structures | - Define and extend the application business objects schema
|
| Developing in the Cloud and Best Practices | - Align software modifications with Guidewire Cloud implementation standards
|
| User Interface and PCF Configuration | - Configure Page Configuration Format (PCF) components and layouts
|
| Gosu Rules and Programming Logic | - Implement business logic and rule sets using the Gosu programming language
|
>> InsuranceSuite-Developer資格試験 <<
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質問 # 64
What is a purpose of logging in deployed systems that follows best practices?
正解：A
解説：
In the context of Guidewire InsuranceSuite, logging serves as a critical diagnostic and security tool. However, it must be implemented with a strict focus on Compliance and Performance. According to the Gosu Rules and Logging curriculum, the primary purpose of logging in a production (deployed) environment is to capture significant business and technical events that provide an audit trail for system behavior. This includes tracking successful transaction completions, identifying failure points in integration calls, and recording administrative actions.
A significant portion of the training emphasizes what not to log. Options B and C describe the logging of Personally Identifiable Information (PII) and sensitive credentials (bank account numbers and passwords).
Logging such data is a severe violation of Security Best Practices and regulatory standards like GDPR, HIPAA, and PCI-DSS. Guidewire Cloud standards mandate that logs must be scrubbed of any sensitive data to prevent data leaks. Furthermore, logging every single database query (Option D) is generally discouraged in production because it creates massive " log bloat " and incurs a heavy performance penalty due to disk I/O.
By following the best practice of logging significant events, developers ensure that support teams have enough information to troubleshoot functional issues (using tools like CloudWatch or Datadog) without compromising customer privacy or degrading system responsiveness. Effective logging strikes a balance between visibility and security, ensuring that the " story " of a transaction can be reconstructed without exposing the sensitive data within it.
質問 # 65
Which statement accurately defines automated Guidewire inspections?
正解：B
解説：
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.
質問 # 66
Succeed Insurance has information that they want to display on multiple pages with the same layout. Which PCF container types can be used to meet this requirement? (Choose 3)
正解：D、E、F
解説：
One of the primary goals of PCF Configuration is modularity and reuse. Guidewire provides specific Container Widgets that allow developers to define a layout once and reference it in multiple locations throughout the application.
* DetailView (DV): This is the standard container for displaying field-value pairs, typically organized in columns. A DV can be defined as a standalone PCF file and then referenced on multiple pages (like a Policy File screen and a Claim Summary screen) using a DetailViewRef.
* ListView (LV): This container is used for tabular data or grids. Similar to DVs, LVs are often created as separate files so that the same table structure (with the same columns, sorting, and filtering) can be reused across different parts of the suite.
* InputSet: This is a more granular container used specifically within DetailViews. An InputSet allows a developer to group a set of related widgets (like an address block or a set of contact fields). By using an InputSetRef, a developer can ensure that the " Address Layout " is identical on every screen that requires it, drastically reducing maintenance time.
In contrast, Popups, LocationGroups, and Worksheets are classified as Locations, not containers. Locations define where a user is in the application (the URL or navigation state), whereas Containers (DV, LV, InputSet) define how the data is laid out inside those locations. Selecting these three containers allows for a " DRY " (Don ' t Repeat Yourself) development approach, which is a key best practice in InsuranceSuite Developer Fundamentals.
質問 # 67
Succeed Insurance would like a list of all Notes related to all Policies for an Account. Which approach follows best practices for retrieving this data more efficiently?
正解：A
解説：
In Guidewire InsuranceSuite, developers frequently need to " reach across " one-to-many relationships to collect data from nested arrays. In this scenario, the goal is to retrieve a flattened list of all Note entities associated with all Policy objects linked to a specific Account.
According to Advanced Gosu best practices, the most efficient and idiomatic way to handle this is by using the Expansion Operator (*). As shown in Option B, the syntax account.Policies*.Notes performs what is known as " collection flattening. " When the expansion operator is applied to the Policies array, Gosu understands that it should look at every policy in that collection and access the Notes array for each. It then automatically flattens these multiple sub-collections into a single, comprehensive list of Note objects. Calling .
toList() at the end ensures the result is captured in a standard, manipulatable collection format.
This approach is vastly superior to nested for loops (Option C). Manual iteration through nested arrays is a primary cause of the " N+1 " query problem and " Bundle Bloat. " In nested loops, the system may perform a separate database fetch for every policy and then another for every note, loading every single entity into the current transaction bundle, which consumes excessive memory and CPU time. The expansion operator, however, is highly optimized within the Gosu Runtime to handle these traversals more gracefully.
Option D is incorrect because it uses a second expansion operator to retrieve the DisplayName property, resulting in a list of Strings rather than a list of Note entities. Option A, while using the Query API, is logically disconnected from the root account object already in memory and represents a more complex search- based approach rather than a relationship-based retrieval. Therefore, the expansion operator is the verified standard for efficient, readable data collection in Gosu.
質問 # 68
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：C
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 returnnullif 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 aBoolean(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 Care 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 Bis syntactically incorrect as it compares a Boolean to null.
* Option Duses 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 descriptiveStringfor the user (e.g.,
"Invalid postal code for this country"), for the purposes of the developer exam, the logic focuses on theNull
/Non-Nullrequirement. 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 # 69
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