Merge pull request #1843 from jasonrandrews/spelling

Spelling updates

Author: jasonrandrews

.wordlist.txt

@@ -3966,4 +3966,46 @@ mesaros
 multilayer
 renderbuffer
 rosdep
-suboptimally
+suboptimally
+AMQP
+AirQualityIndex
+AzureFunctions
+AzureIoT
+AzureWebJobsStorage
+CosmosDBOutput
+DOCUMENTDB
+IoTDatabaee
+IoTDatabase
+IoTHubInput
+IoTStreamAnalyticsJob
+IoTTemperatureAlertFunc
+IsEncrypted
+LRS
+RUs
+SENDGRID
+SendGrid
+SendGridAPIClient
+Servleress
+Twilio
+armiotcosmosdb
+armiotstorage
+asyncio
+autogenerated
+averageTemperature
+averagetemperature
+azcosmosdb
+cardinality
+cosmosdb
+declaratively
+devguide
+differentiator
+etag
+getTempBtn
+hotspots
+iothubowner
+schemas
+sdks
+sendgrid
+soafee
+timestamping
+transactional

content/learning-paths/iot/azure-iot/_index.md

@@ -1,6 +1,10 @@
 ---
 title: Creating IoT Solutions in Azure for Arm64-Powered Devices
 
+draft: true
+cascade:
+    draft: true
+
 minutes_to_complete: 320
 
 who_is_this_for: This is an advanced topic for software developers interested in learning how to build a comprehensive IoT solution in Azure that streams, stores, monitors, aggregates, and visualizes data from Arm64-powered IoT devices.

content/learning-paths/iot/azure-iot/stream-analytics.md

@@ -23,7 +23,7 @@ To process and analyze the telemetry data we’re streaming to Azure IoT Hub, we
 2. Click “Create a resource”, type “Stream Analytics job” into the search box, and press Enter.
 3. From the search results, select Stream Analytics job, then click Create:
 ![img9 alt-text#center](Figures/09.png)
-4. Provide the necessary informations:
+4. Provide the necessary information:
 * Subscription: Choose the Azure subscription you want to use for this job.
 * Resource group: Select the resource group you previously created (e.g., your IoT project’s resource group).
 * Name: Provide a meaningful, unique name for your Stream Analytics job (e.g., IoTStreamAnalyticsJob).