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InsuranceSuite-Analyst認證資料,InsuranceSuite-Analyst題庫下載
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最新的 Guidewire Certified Associate InsuranceSuite-Analyst 免費考試真題 (Q71-Q76):問題 #71
Identify which of the following are phases in the Guidewire Project Lifecycle:
- A. Inception
- B. Initiation
- C. Delivery
- D. Maintenance
- E. Development
- F. Deployment
答案:A,E,F
解題說明:
The Guidewire implementation methodology (SurePath) structures the project lifecycle into distinct phases to ensure value delivery and risk management. Based on the InsuranceSuite Analyst documentation, the correct phases from your list are:
* Inception (C):This is the initial phase of the project execution (following Pre-Inception). The primary goals are to confirm the scope, produce the initial backlog of user stories, finalize the project plan, and obtain agreement on the Minimum Viable Product (MVP).
* Development (F):This is the iterative "Construction" phase. It is divided into multiple Sprints. During this phase, the team configures the application, develops integration points, and conducts unit testing to turn user stories into working software.
* Deployment (D):This phase focuses on moving the application from the test environment to the Production environment. It includes final "Deployment Prep" activities such as data migration, performance tuning, user training, and the actual "Go-Live" event.
Why the other options are incorrect:
* A. Maintenance:While "Support & Maintenance" occurs after the project, it is considered the operational lifecycle (BAU) rather than a core implementation project phase.
* B. Delivery:This is the overarching term for the entire engagement (e.g., "Guidewire Delivery Methodology") but is not a specific phase name itself.
* E. Initiation:Guidewire terminology uses "Pre-Inception" or "Inception" rather than the generic PMI term "Initiation."
問題 #72
Which of the following is an example of how User Story Cards can be customized:
- A. Add a new column column to each tab with requirement number
- B. Duplicate the requirement fields on all tabs
- C. Add a new tab for needs like data mapping
- D. Add a new column for test results
- E. Add a requirements field to the Ul Mockup Tab
答案:C
解題說明:
Comprehensive and Detailed Explanation:
In the Guidewire SurePath methodology, while there is a standard template for User Story Cards (typically containing standard fields like Description, Acceptance Criteria, and Assumptions), the methodology explicitly allows for customization to suit specific project needs or story types.
Adding a new tab for needs like Data Mapping (Option B)is the most common and valid example of this customization.
* Context:ForIntegration User Stories, the standard "As a... I want..." text format is often insufficient to capture the technical detail required for data exchange.
* The Customization:Analysts often add a dedicated "Data Mapping" tab (if using an Excel-based card) or a specific section (if using Jira/Rally) to define theSource-to-Target mapping. This table specifies exactly which field in the Guidewire Data Model (e.g., Claim.LossDate) maps to which field in the external system.
* Benefit:This keeps the main "Story" tab clean and readable while providing the developers with the precise technical specifications they need in the same artifact, rather than forcing them to hunt for a separate spreadsheet.
Why other options are incorrect:
* E. Duplicate requirement fields:This creates redundancy and maintenance issues (updating one tab but forgetting the other).
* A. Add requirements to Mockup Tab:UI Mockups are visual aids; requirements (rules) should remain in the Acceptance Criteria section to ensure they are tested.
* C. Add column for test results:TestResultsare execution artifacts generatedafterthe story is built; they belong in the Test Management tool (like Zephyr or ALM), not on the Requirements Card itself.
問題 #73
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?
- A. The data encryption algorithms used to protect sensitive information
- B. The performance indexes defined on database tables
- C. The database backup and recovery procedures
- D. The foreign key relationships that establish links between different entities
- E. The creation and management of business rules for automated decision-making
- F. The entities that represent key business objects (for example, Policy, Coverage) and their attributes
答案:D,F
解題說明:
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.
問題 #74
A project team is considering rebuilding a complex claims calculation feature from their legacy system within the new Guidewire Cloud implementation, rather than leveraging the base InsuranceSuite functionality. Based on maximizing value principles, which two potential impacts are most likely to arise from this approach? (Choose two)
- A. Reduced implementation effort and cost
- B. Increased maintenance responsibilities
- C. Challenges with future Guidewire platform updates
- D. Improved system performance compared to base configuration
- E. Increased ease of future Guidewire updates
答案:B,C
解題說明:
One of the core principles of Guidewire implementations-especially onGuidewire Cloud-is tomaximize value by leveraging base InsuranceSuite functionalityand minimizing custom development. Rebuilding complex legacy features typically introduces significant long-term risks.
A primary impact ischallenges with future Guidewire platform updates(Option B). Custom-built logic that diverges from standard Guidewire patterns may not be compatible with new releases, increasing the risk of upgrade failures, regressions, and extended downtime during upgrades.
Another likely impact isincreased maintenance responsibilities(Option D). Custom calculations must be maintained, tested, documented, and updated over time. This creates ongoing operational overhead and dependency on specialized technical knowledge.
The other options are unlikely outcomes. Custom rebuilding rarely improves performance over optimized base functionality (Option A). It almost always increases, rather than reduces, implementation effort and cost (Option C). Ease of future upgrades (Option E) is reduced, not improved.
From a value-driven perspective, analysts should encourage reuse of Guidewire's proven capabilities and only pursue customization when there is a clear, measurable business benefit that outweighs long-term cost and risk.
問題 #75
Why is it important for non-developers to have a basic understanding of the data model?
- A. It helps them determine whether a field exists in the out-of-the-box product
- B. It helps them complete product configuration
- C. It helps them know the underlying data when documenting change requests
- D. It is necessary for analysts writing configuration scripts
答案:A,C
解題說明:
A basic understanding of theGuidewire data modelis essential for non-developers, especially Business Analysts, to effectively document requirements and evaluate change requests. The correct answers are Options B and C.
Understanding the data model helps analystsdetermine whether a field already exists in the out-of-the-box product(Option B). This knowledge prevents unnecessary customization and supports Guidewire's configure- over-customize principle.
It also enables analysts tounderstand the underlying data structure when documenting change requests (Option C). Analysts who understand entities, relationships, and field types can write clearer requirements and anticipate downstream impacts.
Non-developers are not responsible for writing configuration scripts or completing product configuration, making Options A and D incorrect.
問題 #76
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