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| Section | Objectives |
|---|---|
| Topic 1: Developing in the Cloud and Best Practices | - Align software modifications with Guidewire Cloud implementation standards
|
| Topic 2: User Interface and PCF Configuration | - Configure Page Configuration Format (PCF) components and layouts
|
| Topic 3: Gosu Rules and Programming Logic | - Implement business logic and rule sets using the Gosu programming language
|
| Topic 4: Data Model and Metadata Structures | - Define and extend the application business objects schema
|
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NEW QUESTION # 39
A business analyst provided a requirement to create a list of Payment Types accepted by vendors. The list will include the values Cash, Credit Card, Debit Card, Check, and EFT. It will be linked to Company Vendors.
Following best practices for creating a new typelist, how can this requirement be configured in the data model?
Answer: A
Explanation:
When a developer needs to introduce an entirely new set of values that does not exist in the base InsuranceSuite product, they must create anew Typelist. According to the Guidewire Data Model architecture, the proper way to define a new, customer-specific typelist is by creating a.tti (Typelist Interface) file within theExtensionsfolder of the configuration.
Following the naming conventions established for Guidewire Cloud and InsuranceSuite extensions, any new metadata object created by a customer should include the_Extsuffix. Therefore, the typelist should be named PaymentType_Ext.tti (Option C). This suffix clearly distinguishes the insurer's custom metadata from any current or future "Out of the Box" (OOTB) typelists provided by Guidewire. By placing it in the Extensions -
> Typelist folder, the developer ensures that the new list is recognized by the metadata compiler and correctly integrated into the application.
It is important to understand why the other options are incorrect:
* Option A:Uses a .ttx file. .ttx files are used only toextend existingbase typelists (adding new codes to a list Guidewire already provides). They cannot be used to define a brand-new list.
* Option B:Uses a .tix extension, which is not a valid Guidewire metadata extension, and places it in the Metadata folder, which is reserved for base product files.
* Option D:Places a .tti in the Metadata folder without the required _Ext suffix, which violates the upgrade-safety principle and risks a name collision with future base product updates.
NEW QUESTION # 40
The results of a Guidewire Profiler analysis on a web page showed a large unaccounted-for time. The developer cannot identify which block of code is taking up so much time by examining the profiler output.
Which approach can help to account for the large time spent and improve reading of the profiler output?
Answer: B
Explanation:
The Guidewire Profiler is a sophisticated tool used to capture the execution time of various system operations, such as database queries, PCF rendering, and rule execution. However, when complex Gosu logic or large loops are executed, the profiler may show a " gap " in the timeline-often referred to as unaccounted-for time.
This occurs because the default instrumentation of the profiler only hooks into specific system events; it does not automatically track every individual line of custom Gosu code.
To gain visibility into these " dark " areas, the developer should use Custom Profiler Tags. By wrapping specific segments of logic or expensive method calls with these tags, the developer manually instructs the profiler to track that specific block ' s entry and exit times. When the profile is later analyzed in the Guidewire Management Console, the previously unaccounted-for time will now be categorized under the label provided in the tag.
This method is vastly superior to manual timestamp printing (Option B) because it integrates directly into the graphical representation of the Profiler, allowing the developer to see how the code block interacts with database " bundles " and other concurrent processes. It provides a holistic view of the execution stack, making it the standard best practice for performance tuning and bottleneck identification in both InsuranceSuite Developer Fundamentals and System Health modules.
NEW QUESTION # 41
Given the following code example:
Code snippet
var query = gw.api.database.Query.make(Claim)
query.compare(Claim#ClaimNumber, Equals, "123-45-6798")
var claim = query.select().AtMostOneRow
According to best practices, which logic returns notes with the topic of denial and filters on the database?
Answer: D
Explanation:
Efficiency in Guidewire performance relies heavily on the "Database-First" principle. To fulfill the requirement of filtering notes by bothClaimandTopicspecifically on the database, a new query must be constructed using theQuery API.
Option C is the only correct answer because it uses the .compare() method to apply two specific filters:
* Topic Filter:It filters for the specific typecode TC_DENIAL.
* Claim Filter:It links the query to the specific claim object found in the previous step.
By setting these parametersbeforecalling .select(), Guidewire generates a single SQL statement: SELECT * FROM cc_note WHERE topic = 'denial' AND claimid = .... The database performs the heavy lifting and returns only the relevant records.
Options A and B areanti-patterns. They fetch all notes (Option B) or execute a broad query (Option A) and then use the Gosu .where() method to filter in the application server's memory. This is highly inefficient.
Option D is incomplete as it would returneverydenial note in the entire system, regardless of which claim it belongs to.
NEW QUESTION # 42
A ListView shows related Policies for a policyholder. When a user clicks a Policy Number in a text cell, the UI should open a Popup showing details of that specific policy. The elementName property in the row iterator is currentPolicy. What is the correct syntax to open the popup?
Answer: A
Explanation:
In Guidewire PCF Configuration, navigating between different parts of the application requires a clear understanding of Location types and their corresponding Gosu methods. When a requirement specifically calls for a Popup, the developer must use the .push() method.
The .push() method is used for " modal " or " semi-modal " navigation. It places the new location (the Popup) on top of the current navigation stack, allowing the user to perform a task and then return exactly where they were when the popup is dismissed. In contrast, the .go() method (seen in Option A) is used for " terminal " navigation, which replaces the current location entirely; it is used for moving between main Pages or Location Groups. Using .go() for a popup would violate the intended UI flow and likely result in a runtime error or unexpected navigation behavior.
Furthermore, the logic to trigger this navigation must be placed in the Action property of the widget (typically a TextCell or Link). The actionAvailable property (Options B and C) is a Boolean expression used only to determine if the action is clickable (i.e., whether the link is active or grayed out based on permissions or data state); it cannot execute the navigation itself. By specifying PolicyPopup.push(currentPolicy) in the Action property, the developer ensures that the currentPolicy object (defined by the RowIterator ' s elementName) is passed as a parameter to the popup, allowing it to display the correct details. This follows the standard PCF Architecture for drill-down interactions.
NEW QUESTION # 43
What are two types of Guidewire Profiler? (Select two)
Answer: A,C
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 # 44
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