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Upgrade to PremiumBuild a two-model dbt project (a staging model and a model that references it) and render it as an Airflow DAG using Cosmos's DbtDag. Confirm the Graph View shows one task per model, in dependency order.
Design the alerting strategy for a DAG that loads data feeding an executive dashboard: which failures go to Slack, and which (if any) should page someone via PagerDuty or Opsgenie? Justify the split.
Take a DAG using a hardcoded Connection stored in Airflow's own database and rewrite the setup (config only, not DAG code) to resolve that same Connection from AWS Secrets Manager instead. Confirm the DAG code itself needs zero changes.
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