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Update README.md (#35004)
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sdk/monitor/azure-monitor-opentelemetry/README.md

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@@ -64,7 +64,8 @@ You can use `configure_azure_monitor` to set up instrumentation for your app to
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| `instrumentation_options` | A nested dictionary that determines which instrumentations to enable or disable. Instrumentations are referred to by their [Library Names](#officially-supported-instrumentations). For example, `{"azure_sdk": {"enabled": False}, "flask": {"enabled": False}, "django": {"enabled": True}}` will disable Azure Core Tracing and the Flask instrumentation but leave Django and the other default instrumentations enabled. The `OTEL_PYTHON_DISABLED_INSTRUMENTATIONS` environment variable explained below can also be used to disable instrumentations. | `N/A` |
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| `span_processors` | A list of [span processors][ot_span_processor] that will perform processing on each of your spans before they are exported. Useful for filtering/modifying telemetry. | `N/A` |
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You can configure further with [OpenTelemetry environment variables][ot_env_vars] such as:
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You can configure further with [OpenTelemetry environment variables][ot_env_vars].
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| Environment Variable | Description |
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|-------------|----------------------|
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| [OTEL_SERVICE_NAME][ot_spec_service_name], [OTEL_RESOURCE_ATTRIBUTES][ot_spec_resource_attributes] | Specifies the OpenTelemetry [Resource][ot_spec_resource] associated with your application. |

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