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| Section | Objectives |
|---|---|
| Developing in the Cloud and Best Practices | - Align software modifications with Guidewire Cloud implementation standards
|
| Gosu Rules and Programming Logic | - Implement business logic and rule sets using the Gosu programming language
|
| User Interface and PCF Configuration | - Configure Page Configuration Format (PCF) components and layouts
|
| Data Model and Metadata Structures | - Define and extend the application business objects schema
|
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NEW QUESTION # 78
For ABPerson contacts only, the marketing team has requested to store the name of the individual ' s favorite sports team. What data model extension follows best practices to fulfill this requirement?
Answer: C
Explanation:
This requirement involves adding data to a specific subset of the contact hierarchy. In Guidewire InsuranceSuite, the ABContact entity is the " Supertype " (parent), and ABPerson and ABCompany are " Subtypes " (children).
According to Data Model Architecture best practices, data should always be stored at the most specific level possible. Since the requirement is specifically for " individuals " (ABPerson) and does not apply to " companies " (ABCompany), adding the field to the parent ABContact (Options A and B) would be inefficient.
Doing so would add an empty column to every company record in the database, wasting space and cluttering the data model for objects where the data is irrelevant.
By adding a varchar (string) column specifically to the ABPerson extension file (ABPerson.etx) as seen in Option D, the developer ensures that the FavoriteTeam_Ext field exists only for person-type contacts. This utilizes Guidewire ' s Subtyping capability to keep the database schema clean and logically organized.
Furthermore, the use of the _Ext suffix is required because ABPerson is a base application entity; this protects the custom field from potential naming collisions during future upgrades. While a typelist (Option B) might be useful if the list of teams was fixed, a varchar field provides the flexibility requested for a marketing " favorite team " entry where any string might be valid.
NEW QUESTION # 79
An insurer needs to define a new Typecode on an existing base application Typelist. Which actions follow best practices for implementing this requirement in Guidewire InsuranceSuite? (Choose 2)
Answer: A,C
Explanation:
In Guidewire InsuranceSuite, the data model is comprised of both Base and Extension metadata. Base metadata, which defines the out-of-the-box entities and typelists, is stored in .tti (Typelist Internal) files.
According to Guidewire best practices and architectural standards, developers must never modify base files directly. Direct modifications to .tti files are overwritten during application upgrades, leading to significant maintenance debt and system instability.
To extend an existing typelist, a developer must use a Typelist Extension file, which carries the .ttx extension.
If a .ttx file for the specific typelist does not already exist in the configuration module, the developer must create one. This approach allows the system to merge the base definitions with the custom extensions at runtime. By defining the new Typecode within a .ttx file, the developer ensures that the custom business data remains intact during platform updates while still appearing as part of the core typelist within the UI and Gosu logic.
Furthermore, typelists are not managed through .java files; they are metadata-driven XML structures. Creating a standalone typelist (Option A) would not satisfy the requirement because it would not be recognized by existing base fields that are already hard-wired to point to the specific base typelist. Therefore, the combination of creating an extension file and defining the new code within that specific .ttx file is the only verified procedure for data model configuration.
NEW QUESTION # 80
Which of the following are true about Guidewire Inspections?
Answer: D
Explanation:
Guidewire Inspections are a form of static code analysis integrated directly into Guidewire Studio (which is built on the IntelliJ IDEA platform). These inspections are designed to help developers identify code smells, performance bottlenecks, and violations of Gosu Coding Standards in real-time.
The most important operational fact about inspections (Option E) is that they run automatically as a background task within the Gosu editor. As a developer types code, the IDE continuously analyzes the syntax and logic. If a violation is found-such as an unused variable, a potentially null reference, or an inefficient query-the editor provides immediate visual feedback through highlights (like yellow warnings or red errors) and " gutter " icons. This allows for " Shift-Left " quality management, where issues are corrected the moment they are created, rather than during a later build or code review phase.
While Option C is technically true (profiles can be customized), Option E is the primary characteristic of the tool's behavior as described in the System Health and Quality training. Option B is false because Guidewire provides hundreds of out-of-the-box inspections specifically tailored for InsuranceSuite (e.g., checking for PII in logs or inefficient bundle usage). Option D is incorrect as the primary mode of interaction is the IDE, not a command-line tool. By leveraging these automatic background inspections, developers maintain a high level of code quality and adhere to the SurePath methodology throughout the development lifecycle.
NEW QUESTION # 81
Which two performance issues of Guidewire core products can be analyzed using the Guidewire Profiler?
(Select two)
Answer: B,E
Explanation:
The Guidewire Profiler is a diagnostic tool designed to help developers identify and resolve performance bottlenecks within the application. It captures detailed " stacks " of execution, showing exactly how much time is spent in Gosu logic, PCF rendering, and database queries.
According to the System Health & Quality training, the Profiler is primarily triggered through specific entry points. The User Interface (Option A) is the most common entry point; by enabling the profiler for a specific web session, a developer can analyze the performance of individual PCF pages, identifying slow-loading widgets or inefficient page queries. Batch Processes (Option B) are the second critical entry point. Since batch jobs (like the Billing/Claims renewal cycles or escalation tasks) often process massive amounts of data, profiling them allows developers to see where the job is lagging-whether it is in the " find " logic or the " execution " logic.
Options C and D are incorrect because the Profiler does not directly analyze the Database Index or the Data Warehouse as standalone entities. While the Profiler can show that a query is slow, determining why (such as a missing index) requires external database management tools or Guidewire's Database Health tools.
Similarly, Client Reflection (Option E) is a UI behavior that occurs in the browser, whereas the Profiler tracks server-side execution. Mastering the use of the Profiler for UI and Batch processes is a fundamental skill for maintaining high system quality in production.
NEW QUESTION # 82
An InsuranceSuite implementation project is preparing for deployment to the Guidewire Cloud Platform.
Which two Cloud Delivery Standards must be met before deployment? (Select two)
Answer: C,E
Explanation:
Moving to the Guidewire Cloud Platform (GWCP) introduces a set of mandatory " Cloud Delivery Standards
" designed to ensure that customer implementations are secure, upgradeable, and performant. Two of the most critical pillars in these standards are Metadata Naming Conventions and Data Privacy/Security.
First, naming conventions (Option D) are essential for maintaining the " Upgrade-Safe " nature of the cloud.
In Guidewire Cloud, the base product is updated frequently. To prevent custom metadata (new entities or columns) from conflicting with future Guidewire base product releases, all extensions must use a unique customer suffix. While the standard example is _Ext, insurers often use their specific company initials, such as _Si for Succeed Insurance. This ensures that the custom data model remains distinct from the gw namespace.
Second, the Observability and Security standards strictly forbid the logging of Personally Identifiable Information (PII) in plain text (Option E). In the cloud, logs are aggregated and viewed via tools like CloudWatch or Kibana. If sensitive data like Social Security Numbers, Credit Card numbers, or personal addresses are logged as clear text, it constitutes a major security risk and a violation of compliance standards like GDPR or SOC2. Guidewire ' s automated Quality Gates will often block a deployment if it detects potential PII leakage in the Gosu logging code.
Options A and B are general development practices but not the primary delivery standards that block deployment. Option C is actually a security risk; hardcoding the " su " (Super User) in bundle management is generally discouraged in favor of more granular permission handling.
NEW QUESTION # 83
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