updates

Author: weslbo

learn-pr/data-ai-cert/introduction-to-azure-data-lake-storage/includes/3-create-data-lake-account.md

@@ -6,4 +6,4 @@ To enable Azure Data Lake Storage Gen2 in an Azure Storage account, you can sele
 
 Alternatively, if you already have an Azure Storage account and want to enable the Azure data Lake Storage Gen2 capability, you can use the **Data Lake Gen2 upgrade** wizard in the Azure portal page for your storage account resource.
 
-![Screenshot of Advanced Settings for Creating Storage Account.](../media/3-data-lake-upgrade.png)
+![Screenshot of upgrading a Storage Account to Data Lake Gen2.](../media/3-data-lake-upgrade.png)

learn-pr/data-ai-cert/introduction-to-data-streaming/5-knowledge-check.yml

@@ -22,10 +22,10 @@ quiz:
     - content: "Data is collected in a temporary store, and all records are processed together as a batch."
       isCorrect: false
       explanation: "Incorrect. Collecting and processing data periodically as a batch is referred to as batch processing."
-    - content: "Data that is incomplete or contains errors is redirected to separate storage for correction by a human operator."
+    - content: "Data that's incomplete or contains errors is redirected to separate storage for correction by a human operator."
       isCorrect: false
       explanation: "Incorrect. When incomplete or erroneous data is often logged, but isn't usually analyzed as a stream."
-  - content: "You need to process a stream of sensor data, aggregating values over one minute windows and storing the results in a data lake. Which service should you use?"
+  - content: "You need to process a stream of sensor data, aggregating values over one-minute windows and storing the results in a data lake. Which service should you use?"
     choices:
     - content: "Azure SQL Database"
       isCorrect: false
@@ -36,14 +36,14 @@ quiz:
     - content: "Azure Stream Analytics"
       isCorrect: true
       explanation: "Correct. Azure Stream Analytics is a stream processing engine."
-  - content: "You want to aggregate event data by contiguous, fixed-length, non-overlapping temporal intervals. What kind of window should you use?"
+  - content: "You want to aggregate event data by contiguous, fixed-length, nonoverlapping temporal intervals. What kind of window should you use?"
     choices:
     - content: "Sliding"
       isCorrect: false
-      explanation: "Incorrect. Sliding windows are not contiguous."
+      explanation: "Incorrect. Sliding windows aren't contiguous."
     - content: "Session"
       isCorrect: false
       explanation: "Incorrect. Session windows only include concurrent events."
     - content: "Tumbling"
       isCorrect: true
-      explanation: "Correct. Tumbling windows define contiguous, fixed-length, non-overlapping windows."
+      explanation: "Correct. Tumbling windows define contiguous, fixed-length, nonoverlapping windows."

learn-pr/wwl-data-ai/introduction-to-data-engineering-azure/index.yml

@@ -11,7 +11,7 @@ metadata:
 title: Introduction to data engineering on Azure
 summary: Microsoft Azure provides a comprehensive platform for data engineering; but what is data engineering? Complete this module to find out.
 abstract: |
-  In this module you will learn how to:
+  In this module you'll learn how to:
   - Identify common data engineering tasks
   - Describe common data engineering concepts
   - Identify Azure services for data engineering