A county public-health department identifies Analyst use cases for municipal data exploration. Which scenario fits Analyst?

County public-health Analyst use cases center on exploring municipal datasets to surface operational insights and patterns—caseload trends, clinic throughput, or inspection volumes—where tabular reasoning helps the department act. That is the conceptual home of Analyst on AB-900: insight from municipal data, not access-request approval, ingestion-logic design, or cluster-performance tuning.

Interpreting municipal datasets to approve access requests for external partners fails as an Analyst scenario; access approval is a governance decision, not dataset exploration. Profiling municipal datasets to design ingestion logic for nightly refresh cycle fails as an Analyst scenario; ingestion design is engineering work, not dataset exploration. Summarizing municipal datasets to tune cluster performance for high availability fails as an Analyst scenario; cluster tuning is infrastructure work, not dataset exploration.

Exam caveat: Public-health datasets often contain sensitive attributes; Analyst use must respect role-based access, minimization, and retention. The exam tests recognizing Analyst for exploration, not infrastructure tuning such as summarizing municipal datasets to tune cluster performance for high availability.

Operational check: Select a de-identified or appropriately permissioned municipal health dataset, run an Analyst-style exploration for operational patterns, and confirm no datasets are interpreted to approve access requests for external partners, no datasets are profiled to design ingestion logic for nightly refresh cycle, and no datasets are summarized to tune cluster performance for high availability.