BTW, DOWNLOAD part of TestPassed InsuranceSuite-Developer dumps from Cloud Storage: https://drive.google.com/open?id=1izBJfWZf8Rxd80-A4sBb4F8zdVC87vWX
These are expertly designed Guidewire InsuranceSuite-Developer mock tests, under the supervision of thousands of professionals. A 24/7 customer service is available for assistance in case of any sort of pinch. It shows results at the end of every InsuranceSuite-Developer mock test attempt so you don't repeat mistakes in the next try. To confirm the license of the product, you need an active internet connection. TestPassed desktop Associate Certification - InsuranceSuite Developer - Mammoth Proctored Exam (InsuranceSuite-Developer) practice test is compatible with every Windows-based computer. You can use this software without an active internet connection.
| Section | Weight | Objectives |
|---|---|---|
| Integration and Extensibility | 10% | - Integration Frameworks
|
| InsuranceSuite Data Model | 25% | - Data Extensions and Customization
|
| Deployment and Maintenance | 10% | - Build and Deployment Process
|
| Gosu Programming and Business Logic | 30% | - Rules, Events, and Logging
|
| PCF Configuration and UI Customization | 25% | - UI Components and Behavior
|
>> InsuranceSuite-Developer Frenquent Update <<
Desktop practice test software, and web-based practice test software. All three TestPassed InsuranceSuite-Developer practice test questions formats are easy to use and compatible with all devices and operating systems. The TestPassed InsuranceSuite-Developer desktop practice test software and web-based practice test software both are the InsuranceSuite-Developer Practice Exam. While practicing on Guidewire Associate Certification - InsuranceSuite Developer - Mammoth Proctored Exam practice test software you will experience the real-timeAssociate Certification - InsuranceSuite Developer - Mammoth Proctored Exam InsuranceSuite-Developer exam environment for preparation. This will help you to understand the pattern of final InsuranceSuite-Developer exam questions and answers.
NEW QUESTION # 63
A query is known to return 500,000 rows. Which two are recommended to process all 500,000 rows efficiently? (Select two)
Answer: B,E
Explanation:
Processing extremely large datasets-such as a result set containing 500,000 rows-presents a significant risk to application stability and performance. If a developer attempts to load all these records into the application server's memory simultaneously, it will likely trigger anOutOfMemoryError, as each entity instance consumes heap space. To mitigate this, Guidewire's Query API provides mechanisms for "lazy loading" and memory management.
The primary recommendation for handling massive result sets is to usesetPageSize()(Option B). When setPageSize is configured on a query object, the system does not fetch all 500,000 rows at once. Instead, it retrieves data in smaller, manageable "chunks" or pages from the database. For example, if the page size is set to 100, the application only holds 100 entity instances in memory at any given time while iterating. As the iterator moves to the 101st record, the next page is transparently fetched. This process ofchunking results into page sets(Option E) ensures that the memory footprint remains constant regardless of the total size of the result set.
While abatch process(Option C) is often used for long-running tasks, the question specifically asks how to process thequeryefficiently. Simply moving the code to a batch process without using setPageSize() would still result in a memory failure within that batch thread. Therefore, pagination is the underlying technical requirement for efficiency. Sorting (Option D) and external libraries like Google Iterables (Option A) do not address the fundamental memory consumption issues associated with large-scale database retrieval in the Guidewire platform.
NEW QUESTION # 64
A ListView shows contacts related to a Claim. When a user clicks the contact name in a text cell, the UI should open a Worksheet showing details of that contact. The elementName property in the row iterator is currentContact. Which is the correct approach?
Answer: B
Explanation:
In the GuidewirePage Configuration Framework (PCF), navigating between different locations is handled via specialized generated methods. WhilePagesandPopupsuse methods like go() or push(),Worksheets (which appear in the workspace at the bottom of the screen) use a unique naming convention.
1. Navigating to Worksheets
When a developer creates a Worksheet PCF (suffix .ws), Guidewire Studio automatically generates a static method to launch that worksheet. According to theInsuranceSuite Developer Fundamentalscourse, the correct method to open a worksheet isgoInWorkspace()(Option D).
When you configure a TextCell or Link within a Row Iterator, the Action property defines what happens when the user clicks the content. By calling ContactWS.goInWorkspace(currentContact), the application server:
* Identifies the current row's data object (currentContact).
* Initializes the ContactWS worksheet.
* Pushes the worksheet into theWorkspacearea (the lower section of the UI), allowing the user to view contact details without losing their place on the main Claim page.
2. Why other options are incorrect
* Option A:This looks like a constructor call, which is syntactically valid Gosu but does not trigger the PCF navigation logic required to render the UI.
* Option B:actionAvailable is a Boolean property that determinesifthe click is enabled; it is not the location where the navigation logic itself is written. Furthermore, .push() is typically used for Popups, not Worksheets.
* Option C:goInWorksheet is a common misremembering of the syntax. The official Guidewire method name used in the generated PCF classes is specifically goInWorkspace.
This pattern of usingWorksheetsfor "side-bar" or "bottom-bar" details is a key UI/UX best practice in Guidewire to maintain context for the user during complex data entry tasks.
NEW QUESTION # 65
A developer wants to manually trigger a build chain in TeamCity to generate a deployable Docker image for a specific commit. According to the process described in the training, what are the key initial steps to achieve this? (Choose 2)
Answer: B,E
Explanation:
In the Guidewire Cloud (GWCP) ecosystem, the CI/CD pipeline is centrally managed through Guidewire Home, which serves as the primary portal for developers to access cloud-native tools. To generate a deployable Docker image, a developer must interact with the build server, which is TeamCity. The first critical step is navigating to TeamCity via the link or tile provided in Guidewire Home (often labeled under " Automated Builds " ). This ensures the developer is authenticated within the secure Guidewire Cloud environment.
Once inside TeamCity, the developer must locate the specific Build Configuration associated with the project and branch they intend to build. Because a Docker image is specific to a commit, the developer must ensure they are triggering the correct " build chain. " A build chain in Guidewire Cloud typically involves several stages, including compiling the Gosu code, running unit tests (GUnit), and finally packaging the application into a Docker container. Manually triggering the build (Step E) involves clicking the " Run " button, often after specifying a specific branch or commit hash to ensure the resulting image contains the correct code changes.
This process is distinct from Lifecycle Manager (LCM), which is used for managing environment-specific configurations (like database settings or API keys) and promoting already-built images to specific " Planets " (Dev, Pre-Prod, etc.). Datadog (Option D) is used for post-deployment observability and would not be used to trigger an image build. Therefore, the combination of accessing the correct tool and manually initiating the build configuration is the verified procedure for cloud developers.
NEW QUESTION # 66
What are two types of Guidewire Profiler? (Select two)
Answer: C,D
Explanation:
The Guidewire Profiler is the primary tool used by developers to diagnose performance issues in InsuranceSuite. It functions by instrumenting " stacks " of code execution and reporting the time spent in various operations like database queries or Gosu rules. According to the System Health and Quality documentation, the Profiler is categorized by how it is triggered and what it monitors.
The Web Profiler (Option A) is used to analyze performance within the user interface. When enabled, it captures the execution of a single web request (a page load or a button click), allowing the developer to see exactly which PCF widgets or page-level Gosu expressions are causing latency.
The Entry-point Profiler (Option D) is a broader category that includes profiling for non-UI operations. Entry points are the " doors " through which the application begins a task. Common entry points that can be profiled include Batch Processes, Work Queue Executors, and Web Services (API calls). By selecting an entry-point profiler, a developer can monitor the performance of background jobs or external integrations that do not have a direct UI component.
Options like Database Performance (Option B) are not specific types of the Profiler itself, but rather outcomes or areas of analysis that the profiler provides. Exit-point (Option C) and Worksheet (Option E) are not recognized classifications of the profiling tool in the Guidewire developer curriculum. Understanding these two types allows developers to strategically apply performance monitoring across the entire application stack.
NEW QUESTION # 67
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,E
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 # 68
......
The InsuranceSuite-Developer exam questions are the perfect form of a complete set of teaching material, teaching outline will outline all the knowledge points covered, comprehensive and no dead angle for the InsuranceSuite-Developer candidates presents the proposition scope and trend of each year, truly enemy and know yourself, and fight. Only know the outline of the InsuranceSuite-Developer Exam, can better comprehensive review, in the encounter with the new and novel examination questions will not be confused, interrupt the thinking of users.
InsuranceSuite-Developer Exam Demo: https://www.testpassed.com/InsuranceSuite-Developer-still-valid-exam.html
P.S. Free & New InsuranceSuite-Developer dumps are available on Google Drive shared by TestPassed: https://drive.google.com/open?id=1izBJfWZf8Rxd80-A4sBb4F8zdVC87vWX