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| Section | Objectives |
|---|---|
| Topic 1: Developing in the Cloud and Best Practices | - Align software modifications with Guidewire Cloud implementation standards
|
| Topic 2: Data Model and Metadata Structures | - Define and extend the application business objects schema
|
| Topic 3: Gosu Rules and Programming Logic | - Implement business logic and rule sets using the Gosu programming language
|
| Topic 4: User Interface and PCF Configuration | - Configure Page Configuration Format (PCF) components and layouts
|
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NEW QUESTION # 56
Which two types of InsuranceSuite projects does the Cloud Assurance process apply to? (Select two)
Answer: A,D
Explanation:
The Cloud Assurance process is a specialized quality framework designed by Guidewire to ensure that any project destined for the Guidewire Cloud Platform (GWCP) meets the necessary standards for security, stability, and " upgrade-ability. " This process involves a series of reviews and checkpoints where Guidewire experts evaluate the customer ' s configuration and integration code.
Cloud Assurance is specifically mandatory for projects moving onto the Guidewire Cloud. This includes New Guidewire Cloud Platform implementations (Option B), where a customer is building their environment on GWCP for the first time. It also applies to Upgrades to Guidewire Cloud Platform (Option A), which occurs when a customer currently running an older version of InsuranceSuite on-premises (self-managed) chooses to migrate and upgrade their application into the cloud environment.
The process is vital because cloud-based applications share infrastructure and follow a " Continuous Delivery
" model where Guidewire manages the underlying platform. To prevent one customer ' s inefficient code from impacting the shared cloud environment or blocking future platform updates, the Cloud Assurance team verifies that the project adheres to " Cloud Delivery Standards " (such as avoiding prohibited Gosu APIs or ensuring correct naming conventions).
Options C and D are incorrect because self-managed (on-premises) implementations are managed by the customer or a third-party partner; while Guidewire provides best practices, the formal Cloud Assurance gatekeeping process is not a prerequisite for these non-cloud deployments. Option E is a part of ongoing maintenance that may be subject to internal quality gates, but the " Cloud Assurance " process as defined in the training refers to the major project milestones of implementation and migration/upgrade to the cloud.
NEW QUESTION # 57
What type of Assessment Check ensures that applications have monitoring and logging frameworks in place?
Answer: C
NEW QUESTION # 58
Which uses correct Gosu syntax and follows Gosu best practices?
Answer: D
Explanation:
Guidewire ' s Gosu language is designed to be highly readable and " English-like, " which helps bridge the gap between business analysts and developers. While Gosu supports standard Java-style operators (like & & ,
||, and ==), the best practice is to use Gosu ' s unique readable operators.
Option E is the correct choice because it uses the readable keywords is greater than and is less than. In Guidewire development, this is preferred over > and < because it improves the maintainability of complex business rules and makes the code more accessible to non-technical stakeholders.
Why other options are considered less ideal or incorrect:
* Option A: Uses a ternary operator which is often discouraged in simple business rules in favor of clear if
/else statements for better readability.
* Option B: Redundancy. In Gosu, you should never write == true. You should simply write if (myValue).
* Option C: While .IsNullOrEmpty() is a valid enhancement, the use of the or keyword is correct, but Option E is a " purer " example of Gosu-specific best practices regarding numeric comparisons.
* Option D: Redundancy again with == true, and .Count can be inefficient on large collections compared to .HasElements.
By using the syntax in Option E, developers follow the " Gosu way " of writing clear, expressive, and self- documenting code.
NEW QUESTION # 59
Which logging statement follows best practice?
Answer: B
Explanation:
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 an IsDebugEnabled check. 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.
NEW QUESTION # 60
A developer wants to manually trigger a build chain in TeamCity to generate a deployable Docker image for a specific commit. According to the process described in the training, what are the key initial steps to achieve this? (Choose 2)
Answer: B,E
Explanation:
In the Guidewire Cloud (GWCP) ecosystem, the CI/CD pipeline is centrally managed through Guidewire Home, which serves as the primary portal for developers to access cloud-native tools. To generate a deployable Docker image, a developer must interact with the build server, which is TeamCity. The first critical step is navigating to TeamCity via the link or tile provided in Guidewire Home (often labeled under " Automated Builds " ). This ensures the developer is authenticated within the secure Guidewire Cloud environment.
Once inside TeamCity, the developer must locate the specific Build Configuration associated with the project and branch they intend to build. Because a Docker image is specific to a commit, the developer must ensure they are triggering the correct " build chain. " A build chain in Guidewire Cloud typically involves several stages, including compiling the Gosu code, running unit tests (GUnit), and finally packaging the application into a Docker container. Manually triggering the build (Step E) involves clicking the " Run " button, often after specifying a specific branch or commit hash to ensure the resulting image contains the correct code changes.
This process is distinct from Lifecycle Manager (LCM), which is used for managing environment-specific configurations (like database settings or API keys) and promoting already-built images to specific " Planets " (Dev, Pre-Prod, etc.). Datadog (Option D) is used for post-deployment observability and would not be used to trigger an image build. Therefore, the combination of accessing the correct tool and manually initiating the build configuration is the verified procedure for cloud developers.
NEW QUESTION # 61
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