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| Section | Objectives |
|---|---|
| Gosu Rules and Programming Logic | - Implement business logic and rule sets using the Gosu programming language
|
| Data Model and Metadata Structures | - Define and extend the application business objects schema
|
| User Interface and PCF Configuration | - Configure Page Configuration Format (PCF) components and layouts
|
| Developing in the Cloud and Best Practices | - Align software modifications with Guidewire Cloud implementation standards
|
>> InsuranceSuite-Developer関連試験 <<
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質問 # 34
Given the following code example:
Code snippet
var query = gw.api.database.Query.make(Claim)
query.compare(Claim#ClaimNumber, Equals, "123-45-6798")
var claim = query.select().AtMostOneRow
According to best practices, which logic returns notes with the topic of denial and filters on the database?
正解：C
解説：
Efficiency in Guidewire performance relies heavily on the "Database-First" principle. To fulfill the requirement of filtering notes by bothClaimandTopicspecifically on the database, a new query must be constructed using theQuery API.
Option C is the only correct answer because it uses the .compare() method to apply two specific filters:
* Topic Filter:It filters for the specific typecode TC_DENIAL.
* Claim Filter:It links the query to the specific claim object found in the previous step.
By setting these parametersbeforecalling .select(), Guidewire generates a single SQL statement: SELECT * FROM cc_note WHERE topic = 'denial' AND claimid = .... The database performs the heavy lifting and returns only the relevant records.
Options A and B areanti-patterns. They fetch all notes (Option B) or execute a broad query (Option A) and then use the Gosu .where() method to filter in the application server's memory. This is highly inefficient.
Option D is incomplete as it would returneverydenial note in the entire system, regardless of which claim it belongs to.
質問 # 35
Which GUnit test method adheres to the Guidewire naming standards?
正解：C
解説：
Testing is a core pillar of the InsuranceSuite Developer curriculum, specifically through the use of GUnit, Guidewire ' s specialized testing framework based on JUnit. To maintain a clean and searchable test suite, Guidewire enforces specific naming conventions for test methods within a TestCase class.
According to the Gosu Coding Standards, test methods should always begin with the lowercase prefix test.
This prefix is used by various automated tools and IDEs (like Guidewire Studio) to identify executable test segments. Following the prefix, the name should be in camelCase and should clearly describe the functionality or method being validated.
Option C, testBulkInvoiceBatchJob, is the correct format. It starts with the required prefix and uses a clear, concise description of the functional area being tested. Option A and B fail because they do not begin with the test prefix, which would likely result in the GUnit runner skipping those methods entirely. Option D, while starting with test, follows a more verbose, sentence-like structure (testThatQuoteIsGenerated) which is common in some BDD (Behavior Driven Development) frameworks but is less standard in traditional Guidewire GUnit development compared to the direct functional naming seen in Option C. Adhering to these standards ensures that tests are easily identifiable during the CI/CD process and that the results reported in TeamCity are logically organized for the development team.
質問 # 36
Which logging statement follows best practice?
正解：D
解説：
Logging efficiency is a critical component of Guidewire application performance. In a production environment, logging levels are typically set to INFO or WARN. However, developers often include DEBUG level logs to assist with troubleshooting. The primary performance risk occurs when a log statement requires significant computational resources to construct the message string-such as calling a method that performs complex calculations or database lookups-even when the log level is currently disabled.
Option C follows the absolute best practice by wrapping the log call in anIsDebugEnabledcheck. This ensures that the someReallyExpensiveOperation() method is only executed if the system is actually configured to record debug logs. Without this check, the application would waste CPU cycles performing the
"expensive operation" only to have the logger discard the resulting string because the level was set to INFO.
Other options fail for various reasons: Option A incorrectly checks InfoEnabled before calling debug, which is a logical mismatch. Option B is risky because passing raw exception messages (e.Message) into a display key can lead to inconsistent formatting or potential security issues if the message is shown to users. Option D demonstrates "Chatty Logging" and string concatenation without a level check, which can negatively impact performance and clutter log files with non-essential state data. Guidewire's logging framework (built on Log4J
/SLF4J principles) thrives when developers use guards like DebugEnabled to protect system resources.
質問 # 37
A developer needs to prepare their local configuration changes for inclusion in the shared Bitbucket repository. According to the training, which actions, performed using Git-based commands in a GWCP context, are essential for this process? (Choose 3)
正解：C、D、E
解説：
In the context of Developing in the Cloud and using the Guidewire Cloud Platform (GWCP), managing source code follows standard Git-based workflows integrated with Atlassian Bitbucket. For a developer to successfully share their local configuration changes with the rest of the team, they must follow a sequence that ensures code integrity and avoids " merge hell. " The first essential step is Committing the changes locally (Option B). This records the developer ' s progress in their local repository ' s history. However, because other developers may have pushed changes to the shared repository in the meantime, the developer must synchronize their local environment. This is achieved by Pulling the latest changes from the remote repository and rebasing (Option A). Rebasing is preferred in the Guidewire curriculum because it creates a clean, linear project history by moving the developer ' s custom commits to the " tip " of the updated master or feature branch. Finally, once the local branch is current and all conflicts are resolved, the developer must Push the finished branch to the remote Bitbucket repository (Option E). Only after the code is in Bitbucket can it be picked up by TeamCity for automated building and testing.
Deploying to a planet (Option C) and creating build schedules (Option D) are downstream activities that occur after the code has been successfully merged into the shared repository. Similarly, Quality Gates (Option F) are pre-configured environment standards rather than a step in the Git commit-and-push workflow. Adhering to the commit-rebase-push cycle is the verified best practice for collaborative cloud development.
質問 # 38
Automated inspections help enforce quality by identifying anomalous code and adherence to defined metrics.
Which types of issues or rules are typically enforced by Guidewire Studio Inspections? Select Two
正解：D、F
解説：
Guidewire Studio Inspections are a form of static code analysis performed within the integrated development environment (IDE). These inspections analyze the Gosu source code and PCF files without actually executing the application. According to the "System Health & Quality" lesson, the primary goal of these inspections is to ensure code maintainability, readability, and the prevention of common logical errors.
One of the most critical roles of Studio Inspections is theenforcement of naming standards(Option B).
Guidewire has strict conventions for how classes, methods, and variables should be named (e.g., camelCase for variables, PascalCase for classes, and the use of the _Ext suffix for customer extensions). Inspections flag any deviations from these standards, ensuring that custom code blends seamlessly with the base product code.
This is vital for long-term maintenance and multi-developer collaboration.
Additionally, inspections are designed for theidentification of potential programming bugs(Option E). This includes detecting "code smells" such as empty if, else, or catch blocks, which often indicate incomplete logic or forgotten error handling. It also identifies unused variables, unreachable code, or potentially dangerous null pointer scenarios. By catching these issues at design-time, developers can resolve them before the code is even committed to the repository.
Other options refer to different tools: Option A describes theGuidewire Profiler(used at runtime), Option D describesDatabase Consistency Checks(DBCC), and Option F refers to memory monitoring and bundle management best practices that are generally outside the scope of basic static inspections. Studio Inspections focus specifically on the "health" of the source code itself.
質問 # 39
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クライアントがInsuranceSuite-Developer学習実践ガイドを購入する前に、無料の試用版を無料で入手できます。クライアントは、当社のウェブサイトにログインして、製品のページにアクセスできます。製品のページには、InsuranceSuite-Developer試験資料に関する多くの重要な情報がリストされており、製品の価格、バージョン、更新時間、試験名とコード、質問と回答の合計額、InsuranceSuite-Developer便利なテストガイドと割引。この情報を見た後、InsuranceSuite-Developer有用なテストガイドを包括的に理解できます。
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