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InsuranceSuite-Developer New Practice Questions, New Braindumps InsuranceSuite-Developer Book
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Guidewire Associate Certification - InsuranceSuite Developer - Mammoth Proctored Exam Sample Questions (Q67-Q72):
NEW QUESTION # 67
An insurer ran the DBCC checks against a copy of their production database and found three errors with high counts in the categoryData update and reconciliation. What are two best practices for resolving the errors?
(Select two)
- A. Wait to see if error counts increase; if they increase by more than 10%, fix the errors
- B. Analyze the errors to determine the root cause and correct the code responsible for the errors
- C. Promote the code to production and run the DBCCs again
- D. Identify any bad data and write a SQL script to correct the data; run the script immediately
- E. Search the Knowledge Base on the Guidewire Community for solutions to the problems found
Answer: B,E
Explanation:
Database Consistency Checks (DBCCs) are the "canary in the coal mine" for data integrity. When high error counts appear in theData update and reconciliationcategory, it usually implies that recent configuration changes (Gosu rules, enhancements, or batch processes) are generating data that violates the underlying metadata constraints.
The first best practice isRoot Cause Analysis(Option A). Simply fixing the data in the database is a "band- aid" solution; if the underlying Gosu code that created the bad data is not fixed, the errors will immediately return. Developers must trace the lifecycle of the affected entities to find where the logic is failing.
The second best practice is to leverage theGuidewire Community Knowledge Base(Option E). Many DBCC errors, especially those following a version upgrade or a major configuration change, have been encountered by other insurers. The Knowledge Base often provides specific SQL patterns or Gosu fixes tailored to known platform behaviors.
Why other options are incorrect:
* Option Bis dangerous; never promote code known to cause database inconsistencies to a production environment.
* Option Cis irresponsible; data corruption should be addressed as soon as it is detected.
* Option Dis a partial fix, but "running the script immediately" without a code fix or support review (as discussed in Question 61) is high-risk and violates Cloud Assurance standards.
NEW QUESTION # 68
Succeed Insurance needs to modify an existing PolicyCenter typelist called PreferredContactMethod with new options. Following best practices, which of the following options would a developer use?
- A. Modify the existing PreferredContactMethod.tti file and add the options there.
- B. Create a typelist extension called PreferredContactMethod.ttx and add the options there.
- C. Create a typelist extension called PreferredContactMethod.Ext.ttx and add the options there.
- D. Create a typelist extension called PreferredContactMethod.Ext.tti and add the options there.
Answer: B
Explanation:
Guidewire uses a specific file naming convention to separate base product definitions from customer extensions. ForTypelists(which are essentially enums stored in the database), the base definition is stored in a .
tti (Typelist Interface) file.
According toCloud Delivery Standards, you never modify the base .tti file (Option D). Instead, to add new codes to an existing typelist, you create aTypelist Extensionfile with the.ttxsuffix (Option A). The file name must exactly match the base typelist name. Options B and C are incorrect because the _Ext suffix is required fornewentities or typelists, but forextendingan existing Guidewire typelist, the .ttx suffix is the standard mechanism that ensures the new codes are merged correctly with the original ones during a platform upgrade.
NEW QUESTION # 69
An insurer has a number of employees working remotely. Displaying the employee's name in a drop-down list must include the employee's location (e.g., John Smith - London, UK). How can a developer satisfy this requirement following best practices?
- A. Create a displaykey that concatenates the name fields and work locations
- B. Enable Post On Change for name fields to modify how the name is displayed
- C. Create a setter property in a Name enhancement class
- D. Define an entity name that concatenates the name fields and work locations
Answer: D
Explanation:
In Guidewire InsuranceSuite, the way an entity is represented in the user interface (specifically in dropdowns or "RangeInputs") is governed by itsEntity Nameconfiguration. This is defined in a specialized metadata file (usually EntityName.en).
The best practice for this requirement is todefine an Entity Name(Option A) that specifies how the object should "stringify" itself. By configuring the Entity Name for the User or Contact entity to concatenate the name and location, the developer ensures a global, consistent behavior. Anywhere that entity is referenced in a dropdown throughout the entire application, it will automatically show the formatted string. This is much more efficient than creating custom logic on every single page.
Option B (Displaykeys) is generally used for static labels or simple parameter substitution, not for defining the core identity of a data object. Option C (Setter) would modify the actual data in the database, which is not the goal-the goal is only to change how it isviewed. Option D (Post On Change) is a UI refresh mechanism and does not address the underlying logic of how a record is displayed in a list.
NEW QUESTION # 70
Which log message follows logging best practices in production?
- A. The claim was created successfully for: Ray Newton, email: rnewton@foo.com, vehicle: white 2022 Toyota Camry.
- B. [Method=ClaimProcess#createClaim][Claim#PublicID=00001234] was created.
- C. The personal auto claim was created for Jane Smith with driver's license AD45678.
- D. ERROR! The claim was not created because the database connection was lost.
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 # 71
This sample code uses array expansion with dot notation and has performance issues:
What best practice is recommended to resolve the performance issues?
- A. Replace the dot notation syntax with ArrayLoader syntax
- B. Rewrite the code to use a nested for loop
- C. Replace the .where clause with a .compare function
- D. Break the code into multiple queries to process each array
Answer: B
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 # 72
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