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Guidewire InsuranceSuite-Developer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: PCF Configuration and UI Customization25%- UI Components and Behavior
  • 1. Navigation and workflow integration
  • 2. Widgets, controls, and validation
- Page Configuration Files (PCF)
  • 1. Structure and syntax
  • 2. Modifying screens and layouts
Topic 2: Gosu Programming and Business Logic30%- Rules, Events, and Logging
  • 1. Logging and debugging techniques
  • 2. Event handlers and processing
  • 3. Business rule implementation
- Gosu Language Basics
  • 1. Classes, interfaces, and inheritance
  • 2. Syntax, data types, and collections
Topic 3: Integration and Extensibility10%- Integration Frameworks
  • 1. Web services and APIs
  • 2. External system connectivity
Topic 4: Deployment and Maintenance10%- Build and Deployment Process
  • 1. Version control and updates
  • 2. Packaging and deployment steps
Topic 5: InsuranceSuite Data Model25%- Data Extensions and Customization
  • 1. Typecodes and Typelists
  • 2. Adding custom fields and entities
- Entities and Relationships
  • 1. Relationship types and cardinality
  • 2. Core entity structure

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Guidewire Associate Certification - InsuranceSuite Developer - Mammoth Proctored Exam Sample Questions (Q132-Q137):

NEW QUESTION # 132
This sample code uses array expansion with dot notation and has performance issues:

What best practice is recommended to resolve the performance issues?

Answer: D

Explanation:
In the Guidewire InsuranceSuite Developer training, specifically within theAdvanced Gosumodules, the
"Array Expansion Operator" (*.) is identified as a double-edged sword. While it provides a clean, declarative syntax for gathering properties from an array of objects into a new collection, it is a common source of performance degradation in complex configurations.
The technical reason for this performance hit is that every time the expansion operator is invoked, Gosu must create anintermediate, temporary collectionin memory to hold the projected values. If you are expanding multiple levels (e.g., Claim.Exposures*.Contacts*.Address), the system is essentially building multiple
"throwaway" lists in the application server's heap. For large datasets, this leads to high memory overhead and triggers frequent garbage collection cycles, which slows down the entire application.
Guidewire's official recommendation is torewrite the code using a nested for loop(Option A). By using explicit procedural iteration, the developer eliminates the need for these hidden intermediate collections. A nested loop allows for "streaming" the data-processing each item as it is reached rather than collecting everything into a list first. This is significantly more memory-efficient. Additionally, nested loops allow developers to integrate "early exit" logic or filters that can prevent the system from even attempting to load certain records from the database, further optimizing the transaction. Following this best practice ensures that the code is not only easier to debug using the Guidewire Profiler but also scales predictably as the insurer's data volume grows.


NEW QUESTION # 133
Succeed Insurance would like to count the number of High Priority Activities that are related to a Job. Which approach follows best practices to meet this requirement?

Answer: C

Explanation:
In Guidewire InsuranceSuite, when working with entity arrays (like job.Activities), the Gosu language provides a powerful set of Collection Enhancements that allow developers to perform operations on data sets with minimal code and maximum readability. These enhancements are built on top of standard Java collections but offer a more functional programming approach.
Option C is the correct best practice because it utilizes the countWhere enhancement. This method takes a block (a lambda expression) that defines a predicate and returns an integer representing the count of elements that satisfy that condition. This approach is superior to manual iteration for several reasons. First, it is declarative; it tells the system what to do (count where priority is high) rather than how to do it (initialize a counter, loop, check if, increment). This reduces the likelihood of " boilerplate " coding errors, such as off-by- one errors or scope issues with the counter variable.
Comparing this to the other options: Option D uses a traditional for loop, which is functional but overly verbose and less idiomatic in Gosu. Option B is inefficient as it creates an entirely new List object in memory (toList()) before counting, which is unnecessary overhead. Option A incorrectly uses each, which is intended for side effects, and Option E incorrectly uses where, which is intended for filtering a subset of objects into a new collection, not for executing a counting block.
By using countWhere directly on the entity array, the developer writes cleaner, more maintainable code that aligns with the Gosu Coding Standards taught in the Advanced Gosu curriculum. This method ensures that the logic is encapsulated in a single, readable line, making it easier for other developers to understand the business intent of the logic.


NEW QUESTION # 134
Succeed Insurance needs to add a new getter property to the Java class generated from the Contact entity.
According to best practices, what steps below would allow this to get implemented? (Select Two)

Answer: A,E

Explanation:
In Guidewire development, you cannot directly modify the underlying Java classes generated from entities.
To add custom logic, properties, or methods to an existing entity like Contact, developers must useGosu Enhancements. This allows the extra functionality to be available on every instance of that entity throughout the application (Rules, PCFs, and other Gosu classes) without altering the base product files.
1. Package Naming Standards (Option E)
According to theInsuranceSuite Developer FundamentalsandCloud Delivery Standards, custom code must always be placed in a unique, customer-specific package. The gw package (Option C) is strictly reserved for Guidewire's internal code. Placing custom enhancements in a package like si.cc.entity.enhancements (where si stands for Succeed Insurance) ensures that the code is "upgrade-safe." During a platform upgrade, Guidewire replaces the gw packages but leaves the customer's custom packages untouched.
2. Properties vs. Functions (Option D)
The requirement specifically asks for a "getter property." In Gosu, this is implemented using theproperty get keyword. While you could technically write a function (e.g., getSomeValue()), a property allows for a cleaner syntax in other parts of the application. For example, if you define a property FullName_Ext, you can access it as myContact.FullName_Ext rather than myContact.getFullName_Ext(). This follows the Guidewire best practice of making the entity model feel like a cohesive, POJO-like structure.
Why other options are incorrect:
* Options A and B:.eti (Entity Interface) and .etx (Entity Extension) files are metadata files used to define thedatabase schema(columns, foreign keys, etc.). They are not used to write Gosu logic or enhancement definitions.
* Option F:While a "get function" is valid Gosu, the question specifically asks for a "getter property," which has a distinct syntax (property get) in the Guidewire framework.
By creating an enhancement in a customer-specific package and using the property syntax, the developer ensures the code is performant, readable, and follows the strict architectural guidelines required for Guidewire Cloud.


NEW QUESTION # 135
Which rule is written in the correct form for a rule which sets the claim segment and leaves the ruleset?

Answer: B

Explanation:
In the Guidewire Gosu Rules engine, managing the logic flow within a ruleset is a fundamental skill for any developer. A ruleset is essentially a collection of " If-Then " statements that the application evaluates sequentially. When a business requirement dictates that an action should be taken-such as categorizing a claim by setting its Segment property-and then no further rules in that specific set should be processed, the developer must use the actions utility object.
The correct method to terminate the current ruleset execution is actions.exit(). As shown in Option A, the logic must be ordered procedurally: first, the state of the entity is modified (claim.Segment = TC_AUTO_LOW), and then the exit() command is called to stop the engine from evaluating subsequent rules. Using the typecode constant (TC_AUTO_LOW) is the best practice for assignment, as it provides compile-time checking, whereas using a hardcoded string (Option B) is error-prone and discouraged in Guidewire development.
Furthermore, the placement of the exit command is critical. In Option C, the actions.exit() is placed before the assignment; this results in the rule terminating immediately, and the claim segment is never actually updated.
Option D is incorrect because actions.stop() is not the standard method for exiting a ruleset in the Gosu rule architecture. By following the pattern in Option A, developers ensure that once a " mutually exclusive " business condition is met and handled, the system efficiently moves to the next ruleset or stage in the claim lifecycle, preventing redundant processing or accidental overwrites of the segment value by lower-priority rules.


NEW QUESTION # 136
Which log message follows logging best practices in production?

Answer: D

Explanation:
In theGuidewire InsuranceSuite Developer Fundamentalscourse, logging best practices are strictly tied to two primary concerns:Security (PII protection)andTroubleshooting Efficiency.
Option A is the correct choice because it providescontextual, structured datawithout revealing sensitive information. It includes the method name (createClaim) and the unique database identifier (PublicID). Using the PublicID is the gold standard in Guidewire development because it allows developers to look up the exact record in the database or the UI without loggingPersonally Identifiable Information (PII). This ensures compliance with data privacy regulations like GDPR and CCPA.
In contrast, Options B and C are significant security violations. Option B logs a name and a driver's license number, while Option C logs a name, email address, and vehicle details. These are all considered PII and should never appear in clear text in application logs. Option D is poor practice because it is "noisy" and lacks specific context (like a claim number or timestamp) that would help a developer determinewhichattempt failed, and the use of "ERROR!" with an exclamation mark is non-standard for system logs. Structured logging, as seen in Option A, allows automated tools like Datadog to parse the logs more effectively.


NEW QUESTION # 137
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