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Merge pull request #212237 from paweenatongbai/broken-links-mdrrahman-sept19
Broken link fix - mdrrahman
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articles/azure-arc/data/automated-integration-testing.md

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@@ -413,7 +413,7 @@ At a high-level, the launcher performs the following sequence of steps:
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3. Perform CRD metadata scan to discover existing Arc and Arc Data Services Custom Resources
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4. Clean up any existing Custom Resources in Kubernetes, and subsequent resources in Azure. If any mismatch between the credentials in `.test.env` compared to resources existing in the cluster, quit.
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5. Generate a unique set of environment variables based on timestamp for Arc Cluster name, Data Controller and Custom Location/Namespace. Prints out the environment variables, obfuscating sensitive values (e.g. Service Principal Password etc.)
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6. a. For Direct Mode - Onboard the Cluster to Azure Arc, then deploys the Controller via the [unified experience](/create-data-controller-direct-cli?tabs=linux#deploy---unified-experience)
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6. a. For Direct Mode - Onboard the Cluster to Azure Arc, then deploys the Controller via the [unified experience](create-data-controller-direct-cli.md?tabs=linux#deploy---unified-experience)
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b. For Indirect Mode: deploy the Data Controller
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7. Once Data Controller is `Ready`, generate a set of Azure CLI ([`az arcdata dc debug`](/cli/azure/arcdata/dc/debug?view=azure-cli-latest&preserve-view=true)) logs and store locally, labeled as `setup-complete` - as a baseline.
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8. Use the `TESTS_DIRECT/INDIRECT` environment variable from `.test.env` to launch a set of parallelized Sonobuoy test runs based on a space-separated array (`TESTS_(IN)DIRECT`). These runs execute in a new `sonobuoy` namespace, using `arc-sb-plugin` pod that contains the Pytest validation tests.

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