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Guidewire InsuranceSuite-Developer Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Model and Metadata Structures- Define and extend the application business objects schema
  • 1. Analyze entity base files (.eti) and implement extension files (.etx)
  • 2. Understand startup metadata load, schema generation, and graph validations
  • 3. Configure typelists, enumerations, and custom typekeys
Topic 2: Gosu Rules and Programming Logic- Implement business logic and rule sets using the Gosu programming language
  • 1. Construct database filtering logic and handle entity queries via gw.api.database.Query
  • 2. Write efficient execution rules to prevent infinite loops and optimize performance
  • 3. Manage application actions, conditional filtering, and variable mapping
Topic 3: Developing in the Cloud and Best Practices- Align software modifications with Guidewire Cloud implementation standards
  • 1. Enforce database performance standards and optimize memory allocation rules
  • 2. Isolate system health hazards and validate code quality against platform considerations
  • 3. Configure future-proofed, scalable, and cloud-ready platform components
Topic 4: User Interface and PCF Configuration- Configure Page Configuration Format (PCF) components and layouts
  • 1. Configure data cells and back list views with view entities like ActivityDesktopView
  • 2. Modify atomic widgets, Detail Views, and List Views
  • 3. Manage display keys, text labels, and localized UI properties

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Guidewire Associate Certification - InsuranceSuite Developer - Mammoth Proctored Exam Sample Questions (Q65-Q70):

NEW QUESTION # 65
Given this function:
929 public function checkConnection() {
930 try
931 {
932 var conn = DriverManager.getConnection(url)
933 // logic here
934 }
935 catch (e : Exception)
936 {
937 // handle exception
938 }
939 }
What action will align the function with Gosu best practices?

Answer: A

Explanation:
The Guidewire InsuranceSuite Developer Fundamentals course emphasizes the importance of a consistent coding style to ensure that configuration code is readable and maintainable. This consistency is enforced through the Gosu Style Guide, which dictates specific rules for formatting and indentation that all Guidewire developers should follow.
One of the most foundational rules in the Gosu Style Guide concerns the placement of curly braces ({). In Gosu, as in many modern programming languages derived from C-style syntax, there are two primary styles of brace placement: " Expanded " (where the brace is on its own line) and " K & R " or " 1TBS " (where the brace is on the same line as the statement). Guidewire strictly adheres to the practice of placing the opening curly brace at the end of the line that begins the block (the " 1TBS " style).
Therefore, in the provided :
* The brace on line 931 should be moved to the end of line 930 (try {).
* The brace on line 936 should be moved to the end of line 935 (catch (e : Exception) {).
Adhering to this style is more than just a preference; it is a requirement for passing Quality Gates in a Guidewire Cloud environment. When code is pushed to a repository in Guidewire Cloud, automated inspections check for these formatting issues. Code that fails these style checks may be flagged as technical debt or even prevent a successful build if strict quality gates are enabled. By moving the braces to the end of the previous lines (Option A), the developer ensures the code matches the visual pattern of the base Guidewire application, making it easier for other team members and Guidewire support to review and maintain the code over time.


NEW QUESTION # 66
An insurer specializing in high-risk policies requires a new Account to provide at least three references. A Reference entity is created. What is the best practice for adding and displaying References on the Contact Summary page in TrainingApp?

Answer: B

Explanation:
In Guidewire PCF (Page Configuration Framework) development, the selection of the correct widget is driven by the underlying data relationship. In this scenario, a "Reference" is a separate entity, and an Account (or Contact) is likely to have multiple instances of these references (a one-to-many relationship). According to Guidewire best practices, when you need to display a collection of objects-especially when that collection can vary in size or requires the user to see multiple entries at once-theList View (LV)is the standard and most efficient UI component.
AList Viewprovides a tabular format that allows users to view, sort, and sometimes edit multiple records simultaneously. By creating a ReferenceLV.pcf and embedding it into the ContactSummary.pcf (typically via a PanelRef), the developer provides a clean, scalable interface. This approach is superior to aDetail View (DV)because a DV is designed for a single record's specific fields; attempting to hard-code "three references" into a DV (Option A) is fragile and non-scalable if the business requirement later changes to four or five references.
Furthermore, embedding the List View directly on the Summary page ensures that the information is immediately visible to the user ("at a glance"), which aligns with the purpose of a "Summary" page. Using a Popup(Option B) adds unnecessary clicks to the user workflow, and anInput Set(Option D) is generally intended for grouping related input fields within a Detail View rather than managing a collection of entity instances. By utilizing the List View, the developer follows the architectural pattern of "Master-Detail" or
"List-Detail" commonly found throughout the InsuranceSuite applications, ensuring the UI remains consistent with the rest of the Guidewire platform.


NEW QUESTION # 67
Which two are capabilities of the Guidewire Profiler? (Select two)

Answer: B,E

Explanation:
TheGuidewire Profileris an essential diagnostic tool used to capture and analyze performance data from the perspective of the application server. Its primary function is to help developers identify "hotspots"-areas of the code that consume excessive time or resources-during the execution of a specific transaction, such as a page load, a batch process, or a web service call.
According to theSystem Health & Qualitycurriculum, the first major capability of the Profiler istracking time spent within Guidewire application code(Option A). When profiling is active, the tool records the execution time of Gosu methods, business rules, and even PCF expressions. It provides a hierarchical "stack trace" view, allowing developers to see exactly which function or rule is responsible for a delay. This is particularly useful for detecting inefficient loops or complex logic that may be slowing down the user experience.
The second key capability isproviding timing information for external service calls(Option D). In a modern InsuranceSuite ecosystem, applications frequently communicate with external systems for credit scores, address validation, or payment processing. The Profiler monitors these "exit points" (such as SOAP or REST integrations) and records the duration of each call. By analyzing this data, a developer can determine if a performance issue is internal to the Guidewire application or if it is caused by a slow response from an external vendor's API.
It is important to note that the Profiler is aserver-side tool. It does not measure browser-side rendering time (Option E) or network latency between the client and the server (Option C). While it provides metadata about database queries, its focus is on the application's execution of those queries rather than raw network latency (Option B). By focusing on internal code and external integrations, the Profiler gives developers a clear view of the application's functional performance.


NEW QUESTION # 68
An insurer has a number of employees whose names are similar, but each one has a unique employee number for identification. Displaying the employee ' s name as a drop-down list in the user interface must include the employee ' s number with the employee ' s name to ensure uniqueness. For example:
* John Smith 3455
* William Andy 3978
* John Smith 4041
How can a developer satisfy this requirement following best practices?

Answer: A

Explanation:
In Guidewire InsuranceSuite, the " Entity Name " (often configured in Name Configuration files or .en files) defines how an entity is represented as a string throughout the application ' s user interface. Whenever an entity is referenced in a dropdown (RangeInput), a label, or a search result, the system automatically invokes the entity ' s DisplayName.
According to the Data Model Architecture, the best practice for ensuring that users can distinguish between similar records-such as employees with identical names-is to modify the Entity Name logic to include a unique identifier. By concatenating the FirstName, LastName, and EmployeeNumber fields within the entity ' s name configuration, the developer ensures a consistent user experience across all screens.
This approach is superior to using a Displaykey (Option D) because Displaykeys are intended for static localized strings, not for dynamic data-driven entity identities. Likewise, Post On Change (Option A) is a UI- level trigger for refreshing page data and does not govern the global string representation of an object. By defining the logic at the entity level, the developer ensures that any future UI component that references the Employee entity will automatically display the unique identifier without requiring additional configuration.
This promotes reusability and maintains data integrity by preventing users from selecting the wrong record due to visual ambiguity.


NEW QUESTION # 69
An insurer ran the DBCC checks against a copy of their PolicyCenter production database in a non-production environment to check for errors before promoting the code to production. Three errors with high counts were found in the category " Data update and reconciliation. " What are two best practices for resolving the errors?
(Select two)

Answer: B,E

Explanation:
Database Consistency Checks (DBCC) are a critical part of the System Health and Quality framework. When these checks return errors, especially in categories like " Data update and reconciliation, " it indicates a mismatch between the database ' s physical state and the application's metadata expectations.
According to Guidewire best practices, the first essential step (Option D) is root cause analysis. A developer must determine why the data is inconsistent. For example, if a high count of errors appears after a code change, it likely means a Gosu rule, an integration, or a newly added required field is not being populated correctly. Fixing the symptom with a SQL script without addressing the code responsible will only lead to the errors recurring. Addressing the logic ensures that the " faucet " of bad data is turned off before attempting to
" mop up " the existing data.
The second best practice (Option E) is leveraging the Guidewire Community and Knowledge Base. Many DBCC errors, particularly those related to base application upgrades or standard entities, are well- documented. Guidewire provides specific remediation scripts or configuration adjustments for known issues.
Options A, B, and C are strictly prohibited under Guidewire SurePath standards. Running SQL scripts " immediately " without analysis can lead to further corruption. Waiting for error counts to increase (Option B) ignores potential system instability. Promoting to production (Option C) while knowing errors exist is a violation of deployment quality gates and can lead to production downtime. By combining technical analysis with community resources, developers ensure a stable transition to the production environment.


NEW QUESTION # 70
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