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| Section | Objectives |
|---|---|
| Topic 1: Data Model and Metadata Structures | - Define and extend the application business objects schema
|
| Topic 2: Gosu Rules and Programming Logic | - Implement business logic and rule sets using the Gosu programming language
|
| Topic 3: User Interface and PCF Configuration | - Configure Page Configuration Format (PCF) components and layouts
|
| Topic 4: Developing in the Cloud and Best Practices | - Align software modifications with Guidewire Cloud implementation standards
|
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NEW QUESTION # 142
An insurer with a self-managed InsuranceSuite implementation is preparing to transition to Guidewire Cloud Platform (GWCP). Which two Cloud Delivery Standards must be met before deployment? (Select two)
Answer: C,D
Explanation:
The transition from a self-managed (on-premise) environment to Guidewire Cloud Platform (GWCP) involves a rigorous set of " Cloud Delivery Standards " designed to ensure the stability and supportability of the SaaS environment.
The first critical standard (Option C) involves the Database Consistency Checks (DCC). Before a database can be migrated to the cloud, it must be " clean. " Any data integrity issues-such as orphaned rows, invalid typecodes, or violated foreign key constraints-that are flagged by the DCC tool must be remediated. If these issues are not fixed, the automated migration scripts used during the cloud transition may fail, or the application may exhibit unpredictable behavior in the cloud environment.
The second standard (Option D) requires that the customer be on a supported General Availability (GA) version. Guidewire Cloud is built on a " Continuous Delivery " model, and the migration path is significantly streamlined when the source application is on a recent, stable version of the software. Attempting to move a legacy version that is several years out of date often requires multiple " hop " upgrades before the cloud transition can even begin.
While custom suffixes (Option B) and performance tests (Option A) are important parts of a project lifecycle, they are not the specific, mandatory " blocking " standards for the initial architectural transition in the same way that data integrity and product versioning are. Adhering to these standards minimizes risk and aligns the customer with the Guidewire SurePath methodology for cloud success.
NEW QUESTION # 143
A query is known to return 500,000 rows. Which two are recommended to process all 500,000 rows efficiently? (Select two)
Answer: A,E
Explanation:
Processing extremely large datasets-such as 500,000 rows-presents significant challenges for memory management and transaction stability in Guidewire. To handle this efficiently, developers must use the Gosu Query API correctly and choose the right execution context.
The first best practice is the use of setPageSize() (Option B). When a query is executed, by default, the system might attempt to fetch a large number of rows into the application server ' s memory. By calling setPageSize (50) or setPageSize(100) on the query object, the developer instructs the database driver to fetch only a small
" page " of records at a time. This keeps the memory footprint of the Gosu bundle low and prevents OutOfMemory errors, even though the developer can still iterate through the entire 500,000-row result set as if it were a single collection.
The second best practice is to move such a heavy operation into a Batch Process (Option C). Executing a
500,000-row loop within a UI request or a standard rule would likely cause a web server timeout or block other threads. A Batch Process runs in the background, has its own dedicated work queue, and can be configured to " checkpoint " its progress. This means if the server restarts, the batch process can potentially resume where it left off.
Options like sorting (Option E) can actually hinder performance on large sets if the database index is not optimized for that sort. " Chunking " (Option D) is conceptually similar to paging, but setPageSize() is the specific, built-in method provided by the Guidewire Query API to achieve this.
NEW QUESTION # 144
The Officials list view in ClaimCenter displays information about an official called to the scene of a loss (for example, police, fire department, ambulance). The base product captures and displays only three fields for officials. An insurer has added additional fields but still only displays three fields. The insurer has requested a way to edit a single record in the list view to view and edit all of the officials fields. Which location type can be used to satisfy this requirement?
Answer: A
Explanation:
In Guidewire InsuranceSuite UI design, balancing information density is a common challenge.List Views (LVs)are optimized for showing multiple records at once but are limited by horizontal screen real estate.
When an entity has more fields than can comfortably fit in a table-as is the case with the expanded
"Officials" entity-Guidewire best practices recommend using aPopup(Option C) for detailed editing.
A Popup is a specializedLocationtype that opens a secondary window over the current page. This allows the developer to embed a fullDetail View (DV)containing all the new fields (police badge numbers, department contact info, etc.) without navigating the user away from the main Claim screen. This "List-Detail" pattern is typically implemented by making one of the fields in the List View (like the Official's name) aLinkor by adding an "Edit" button that calls the popover or push method to launch the Popup.
Other location types are inappropriate for this specific requirement. AForward(Option A) is a non-visual location used for logical branching (deciding where to send a user based on data). APage(Option B) would take the user completely away from the current context, which is disruptive for a simple edit. ALocation Group(Option D) is used for structural navigation in the sidebar, not for individual record interaction. By utilizing a Popup, the developer provides a focused, high-density editing environment that maintains the user's workflow within the ClaimCenter application.
NEW QUESTION # 145
Given the following query:
uses gw.api.database.Query
var query = Query.make(Claim)
query.compare(Claim#ClaimNumber, Equals, " 123-45-6789 " )
var claim = query.select().AtMostOneRow
Which follows the best practice to find the urgent open activities of the claim, considering the memory usage and bundle size?
Answer: D
Explanation:
In Guidewire InsuranceSuite, managing how data is retrieved from the database is critical for system performance, specifically regarding memory usage and the bundle size. A primary goal for any developer is to ensure that filtering happens at the database level rather than within the application server ' s memory.
Options B and C demonstrate a common but inefficient pattern: accessing an array directly (e.g., claim.
Activities). When you access an array on an entity, the Guidewire platform automatically loads every related record in that array into the application server ' s memory and adds them to the current Bundle. If a claim has hundreds of activities, but you only need the three that are " Urgent " and " Open, " Options B and C still force the system to load all of them. This consumes significant memory and increases the overhead of the bundle, which can lead to performance degradation or " Out of Memory " errors in high-volume environments.
Option D is the verified best practice. By using the Gosu Query API (Query.make(Activity)), the developer can build a specific SQL statement. Using the .compare() method for the Priority, Status, and the link to the Claim ensures that all three criteria are passed to the database as part of the WHERE clause. When .select() is called, the database engine filters the records and returns only the specific rows that meet all requirements.
Consequently, only the necessary objects are loaded into the application server ' s memory and added to the bundle. Option A is less efficient because it uses a Gosu lambda (.where) after the select, which performs the final filtering in memory rather than at the database tier. Following the pattern in Option D minimizes the data
" payload " and ensures the application remains scalable and responsive.
NEW QUESTION # 146
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?
Answer: D
NEW QUESTION # 147
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