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| Section | Weight | Objectives |
|---|---|---|
| Gosu Programming and Business Logic | 30% | - Rules, Events, and Logging
|
| PCF Configuration and UI Customization | 25% | - Page Configuration Files (PCF)
|
| Deployment and Maintenance | 10% | - Build and Deployment Process
|
| InsuranceSuite Data Model | 25% | - Entities and Relationships
|
| Integration and Extensibility | 10% | - Integration Frameworks
|
>> InsuranceSuite-Developer Preparation Store <<
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NEW QUESTION # 141
What are two types of Guidewire Profiler? (Select two)
Answer: A,B
Explanation:
TheGuidewire Profileris a powerful diagnostic tool used to analyze the performance of Gosu code, database queries, and rule execution within the application. It helps developers identify bottlenecks by providing a detailed breakdown of where time is being spent during a specific operation.
According to the "System Health & Quality" training, the Profiler is categorized based on how the profiling data is captured and viewed. The two primary types areEntry-pointandWorksheet.
* Entry-point Profiler (Option B):This is used to profile a specific "entry point" into the application, such as a Web Service call, a Batch Process, or a specific PCF Page load. When a developer enables an entry-point profiler, the system records every operation (Gosu execution, SQL query, etc.) that occurs from the moment the entry point is triggered until it completes. This is essential for diagnosing high- latency API calls or slow-running background tasks.
* Worksheet Profiler (Option D):This type is accessible directly within the application UI via the
"Worksheet" (the slide-up panel at the bottom). It allows a developer or tester to profile their own current session. By clicking "Enable Profiler" in the worksheet, the developer can perform a specific action (like clicking a button or saving a claim) and immediately view the performance trace once the action finishes.
Options A (Exit-point) and C (Database Performance) are not standard names for the Profiler types in Guidewire. While the Profilermeasuresdatabase performance, it is not a "type" of Profiler itself.
Understanding the difference between these types allows developers to choose the right diagnostic tool depending on whether they are troubleshooting a user-interface issue (Worksheet) or a systemic back-end performance problem (Entry-point).
NEW QUESTION # 142
Which log message follows logging best practices in production?
Answer: B
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 # 143
When a user marks the InspectionComplete field and clicks Update, the user making the update and the date
/time of the update need to be recorded in separate fields. Which approach will accomplish this?
Answer: C
Explanation:
In the GuidewireGosu Rulesframework,Preupdate rulesare the designated location for performing last- minute entity modifications before they are committed to the database. According to theInsuranceSuite Developer Fundamentalsguide, Preupdate rules are ideal for audit-trailing or setting "shadow fields" that depend on the state of other fields.
When the user clicks "Update," the bundle enters the commit phase. The Preupdate ruleset is executed while the transaction is still "in-flight." By checking if the InspectionComplete field is "changed" (using the isFieldChanged() method), the rule can programmatically set the user and timestamp. This ensures the data is captured regardless of which PCF page or API call triggered the update. Options likeValidation Rules(A) are meant for error checking, not data assignment.EventFired Rules(D) occurafterthe database commit, meaning any changes made there would require a whole new bundle and transaction, which is highly inefficient and creates infinite loops.
NEW QUESTION # 144
What is a commit in Git?
Answer: B
Explanation:
When working withGuidewire Cloud Platform (GWCP), developers use Git for version control.
Understanding the internal mechanics of Git is essential for managing InsuranceSuite configuration changes.
A common misconception is that Git stores "diffs" or just the changes made to files. However, according to theDeveloping with Guidewire Cloudtraining, acommitis fundamentally asnapshot of the entire project at a specific point in time.
When you perform a commit, Git takes a "picture" of what all your files look like at that moment. To stay efficient, if a file has not changed, Git doesn't store the file again; instead, it stores a link to the previous identical version it has already stored. This snapshot includes metadata such as the author, the timestamp, and a reference to the "parent" commit that came before it. This allows Git to reconstruct the entire state of the configuration at any point in history.
Option C is incorrect because it describes a pointer to changes (a delta), which is how older version control systems like SVN worked. Option B is more descriptive of a "Branch," which is a moving pointer to a commit. Option D describes the "History" or "Log" view. By treating every commit as a complete snapshot, Git ensures that the integrity of the Guidewire metadata is maintained, even when merging complex changes across different developer streams.
NEW QUESTION # 145
This sample code uses array expansion with dot notation and has performance issues:
What best practice is recommended to resolve the performance issues?
Answer: B
Explanation:
In the Guidewire InsuranceSuite Developer training, specifically within the Advanced Gosu modules, 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 an intermediate, temporary collection in 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 to rewrite 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 # 146
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