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81. Frage
Select each phase of the project lifecycle that reference User Story Cards in some manner: choose two
Antwort: A,D
Begründung:
In the Guidewire Project Lifecycle, User Story Cards (or the high-level concepts that become them) are primarily utilized in Pre-Inception and Inception.
* Inception (Option D): This is the primary phase where User Story Cards are created, elaborated, and finalized. The main goal of Inception is to generate the "Backlog" of detailed user stories that describe the system behavior (business rules, UI, integration) and to have them estimated by developers.
* Pre-Inception (Option A): During the Pre-Inception phase, the team defines the project scope and value. While they may not have fully detailed "cards" yet, they utilize the User Story format (e.g.,
"Epics" or "Key User Stories") to define the high-level requirements and the Minimum Viable Product (MVP). These high-level stories are "referenced" to estimate the project size and create the initial roadmap.
Why other options are incorrect:
* B. Support and Success: While User Stories are indeed used during Support (for enhancements and defects), "Support" is typically considered the Operational lifecycle, distinct from the Project (Implementation) lifecycle (as confirmed in Question 21 where "Maintenance" was not a project phase).
* C. Deployment: The Deployment phase focuses on the technical migration of the confirmed software (code and data) to the Production environment. While the "Release Notes" might reference stories, the phase itself is driven by the Deployment Plan and Runbook, not the elaboration or definition of Story Cards.
82. Frage
A Quality Analyst is reviewing the test data setup for a Guidewire PolicyCenter project. To ensure comprehensive testing, the analyst needs to understand how different data elements are linked within the system. Which two data modeling concepts are critical for understanding data relationships and dependencies in InsuranceSuite?
Antwort: E,F
Begründung:
In Guidewire InsuranceSuite, understanding how data is structured and related is essential for setting up accurate and effective test data. For a Quality Analyst, the most critical data modeling concepts areentities with their attributesandforeign key relationships, makingOptions A and Ccorrect.
Entitiesrepresent core business objects such as Policy, PolicyPeriod, Coverage, Account, or Contact. Each entity contains attributes that store specific business data. Understanding which entities exist and what attributes they contain allows a QA analyst to identify which data elements must be populated to support specific test scenarios, such as quoting, binding, or endorsement processing.
Foreign key relationshipsdefine how entities are linked to one another. For example, a Policy is linked to an Account, and a Coverage is linked to a PolicyPeriod. These relationships establish dependencies that must be respected when creating test data. If related records are missing or incorrectly linked, test cases may fail for reasons unrelated to the functionality being tested.
The remaining options are not directly relevant to understanding data relationships. Backup and recovery procedures (Option B), encryption algorithms (Option D), and performance indexes (Option E) are infrastructure or technical concerns. Business rules (Option F) influence behavior but do not define data relationships.
By understanding entities and their relationships, Quality Analysts can create realistic, complete test data that accurately reflects how InsuranceSuite processes information across workflows.
83. Frage
Preparation Best Practices to complete prior to the elaboration workshop include: _________.
Antwort: A,B
Begründung:
The correct selections are A and C because both activities directly support the purpose of an elaboration workshop in a Guidewire InsuranceSuite implementation. Elaboration workshops are intended to clarify business needs, validate solution direction, and prepare the team to discuss functionality in a concrete, business-focused way. To do that effectively, the team must arrive prepared with a clear understanding of the customer's most important requirements and with realistic examples that can be demonstrated in the session.
A). Create demonstration data necessary to demo functionality is correct because workshop discussions are much more effective when participants can see examples of how the system supports real business scenarios.
Demonstration data helps analysts and other project team members walk through workflows, show expected outcomes, and confirm whether Guidewire capabilities align with customer needs. This supports richer discussion and better requirement discovery.
C). Identify customer's key business requirements is also correct because the elaboration workshop depends on knowing what matters most to the customer before the session begins. The workshop is not meant to start from zero; it builds on previously gathered understanding so that the team can refine, validate, and expand on those requirements in a structured way.
B is not the best answer because deployment notes are generally more relevant to later technical planning, release, or implementation activities, not early workshop preparation. D is not correct because writing detailed acceptance criteria for every story card before the workshop is usually premature. Acceptance criteria are typically refined after workshop discussions help clarify scope, behavior, and expected outcomes.
84. Frage
A cyber insurance project aims to automate core processes, including complex policy data validation and routing high-risk claims to specialized teams.
In what ways do Gosu rules contribute to these application behaviors?
Antwort: A,D
Begründung:
The correct answers are B and D because Gosu rules in Guidewire InsuranceSuite are used to control system behavior through configurable business logic and automated decision-making.
D). By handling complex logic is correct because rules are one of the primary mechanisms used in Guidewire to evaluate conditions, perform validations, trigger actions, and support automated processing. In the scenario described, complex policy data validation is a direct example of rule-driven behavior. Rules can evaluate entered data, check business conditions, and determine whether certain actions, warnings, or validations should occur.
B). By triggering objects that can be assigned is also correct in the context of routing work, especially for claims. Guidewire uses rule-based assignment behavior to determine how assignable work items are routed to users, groups, or specialized teams. Since the scenario includes routing high-risk claims to specialized teams
, this aligns with the use of assignment-related rules that automate who should receive or own a particular item based on business conditions.
The other options refer to different parts of the platform. A is about integrations, not rules logic. C describes typelists, which provide predefined values. E refers to UI configuration such as PCF-based screen layout. F relates to the data model and entities, which store information but do not represent Gosu rules behavior.
So, for automation involving validation and routing , Gosu rules contribute by handling complex logic and supporting assignment-driven behavior for assignable objects .
85. Frage
Which of the following are examples of standardized prescriptive designs and solutions available on Guidewire Marketplace, that can be leveraged by a project team to speed up the implementation?
Choose 2 options.
Antwort: C,E
Begründung:
The correct answers are B. Accelerators and D. GO Products because these are the types of packaged, reusable implementation assets that Guidewire makes available through the Guidewire Marketplace to help project teams move faster and reduce delivery risk.
Accelerators are intended to speed implementation by providing prebuilt patterns, templates, integration aids, and solution components that can be adapted for a customer project. They reflect standardized and prescriptive approaches that save effort compared with designing everything from the beginning. For an analyst, accelerators are valuable because they can influence requirements discussions, solution options, and estimation by showing proven starting points.
GO Products are also designed to accelerate delivery. They typically represent packaged solutions or predefined offerings that support faster implementation through reusable productized assets. These align closely with the idea of leveraging marketplace-based solutions rather than creating every component from scratch.
The other choices do not fit this description as well. Standard process flows may exist as general guidance, but they are not typically identified as Marketplace solution offerings in the same way as accelerators and GO Products. Out-of-the-box user stories are not generally treated as Marketplace prescriptive solutions. Base product documentation is reference material that helps teams understand the system, but it is not itself a standardized implementation solution used to accelerate project delivery.
So, when the question asks for examples of standardized prescriptive designs and solutions available on Guidewire Marketplace , the best answers are Accelerators and GO Products .
86. Frage
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