Exam InsuranceSuite-Developer Topic 1 Question 1 Discussion

Actual exam question for Guidewire's InsuranceSuite-Developer exam
Question #: 1
Topic #: 1
An insurer ran the DBCC checks against a copy of their PolicyCenter production database in a non-production environment to check for errors before promoting the code to production. Three errors with high counts were found in the category " Data update and reconciliation. " What are two best practices for resolving the errors?
(Select two)

Suggested Answer: D,E Vote an answer

Database Consistency Checks (DBCC) are a critical part of the System Health and Quality framework. When these checks return errors, especially in categories like " Data update and reconciliation, " it indicates a mismatch between the database ' s physical state and the application's metadata expectations.
According to Guidewire best practices, the first essential step (Option D) is root cause analysis. A developer must determine why the data is inconsistent. For example, if a high count of errors appears after a code change, it likely means a Gosu rule, an integration, or a newly added required field is not being populated correctly. Fixing the symptom with a SQL script without addressing the code responsible will only lead to the errors recurring. Addressing the logic ensures that the " faucet " of bad data is turned off before attempting to
" mop up " the existing data.
The second best practice (Option E) is leveraging the Guidewire Community and Knowledge Base. Many DBCC errors, particularly those related to base application upgrades or standard entities, are well- documented. Guidewire provides specific remediation scripts or configuration adjustments for known issues.
Options A, B, and C are strictly prohibited under Guidewire SurePath standards. Running SQL scripts " immediately " without analysis can lead to further corruption. Waiting for error counts to increase (Option B) ignores potential system instability. Promoting to production (Option C) while knowing errors exist is a violation of deployment quality gates and can lead to production downtime. By combining technical analysis with community resources, developers ensure a stable transition to the production environment.

by Florence at Jun 25, 2026, 02:13 AM

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