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Adding periods to alt text and fixing extraneous formatting on images.

Author: AnnaMHuff

articles/hdinsight/spark/apache-spark-jupyter-spark-use-bicep.md

@@ -96,15 +96,15 @@ Get-AzResource -ResourceGroupName exampleRG
 
 2. Select **HDInsight clusters**, and then select the cluster you created.
 
-    :::image type="content" source="./media/apache-spark-jupyter-spark-sql/azure-portal-open-hdinsight-cluster.png" alt-text="Open HDInsight cluster in the Azure portal" border="true":::
+    :::image type="content" source="./media/apache-spark-jupyter-spark-sql/azure-portal-open-hdinsight-cluster.png" alt-text="Open HDInsight cluster in the Azure portal." border="true":::
 
 3. From the portal, in **Cluster dashboards** section, select **Jupyter Notebook**. If prompted, enter the cluster login credentials for the cluster.
 
-   :::image type="content" source="./media/apache-spark-jupyter-spark-sql/hdinsight-spark-open-jupyter-interactive-spark-sql-query.png " alt-text="Open Jupyter Notebook to run interactive Spark SQL query" border="true":::
+   :::image type="content" source="./media/apache-spark-jupyter-spark-sql/hdinsight-spark-open-jupyter-interactive-spark-sql-query.png " alt-text="Open Jupyter Notebook to run interactive Spark SQL query." border="true":::
 
 4. Select **New** > **PySpark** to create a notebook.
 
-   :::image type="content" source="./media/apache-spark-jupyter-spark-sql/hdinsight-spark-create-jupyter-interactive-spark-sql-query.png " alt-text="Create a Jupyter Notebook file to run interactive Spark SQL query" border="true":::
+   :::image type="content" source="./media/apache-spark-jupyter-spark-sql/hdinsight-spark-create-jupyter-interactive-spark-sql-query.png " alt-text="Create a Jupyter Notebook file to run interactive Spark SQL query." border="true":::
 
    A new notebook is created and opened with the name Untitled(Untitled.pynb).
 
@@ -114,7 +114,7 @@ SQL (Structured Query Language) is the most common and widely used language for
 
 1. Verify the kernel is ready. The kernel is ready when you see a hollow circle next to the kernel name in the notebook. Solid circle denotes that the kernel is busy.
 
-    :::image type="content" source="./media/apache-spark-jupyter-spark-sql/jupyter-spark-kernel-status.png " alt-text="Kernel status" border="true"::: alt-text="Kernel status" border="true":::
+    :::image type="content" source="./media/apache-spark-jupyter-spark-sql/jupyter-spark-kernel-status.png " alt-text="Screenshot showing that the kernel is ready." border="true":::
 
     When you start the notebook for the first time, the kernel performs some tasks in the background. Wait for the kernel to be ready.
 
@@ -127,7 +127,7 @@ SQL (Structured Query Language) is the most common and widely used language for
 
     When you use a Jupyter Notebook file with your HDInsight cluster, you get a preset `spark` session that you can use to run Hive queries using Spark SQL. `%%sql` tells Jupyter Notebook to use the preset `spark` session to run the Hive query. The query retrieves the top 10 rows from a Hive table (**hivesampletable**) that comes with all HDInsight clusters by default. The first time you submit the query, Jupyter will create a Spark application for the notebook. It takes about 30 seconds to complete. Once the Spark application is ready, the query is executed in about a second and produces the results. The output looks like:
 
-    :::image type="content" source="./media/apache-spark-jupyter-spark-sql/hdinsight-spark-get-started-hive-query.png " alt-text="Apache Hive query in HDInsight" border="true":::y in HDInsight" border="true":::
+    :::image type="content" source="./media/apache-spark-jupyter-spark-sql/hdinsight-spark-get-started-hive-query.png " alt-text="Screenshot that shows an Apache Hive query in HDInsight." border="true":::
 
     Every time you run a query in Jupyter, your web browser window title shows a **(Busy)** status along with the notebook title. You also see a solid circle next to the **PySpark** text in the top-right corner.
 
@@ -140,7 +140,7 @@ SQL (Structured Query Language) is the most common and widely used language for
 
     The screen should refresh to show the query output.
 
-    :::image type="content" source="./media/apache-spark-jupyter-spark-sql/hdinsight-spark-get-started-hive-query-output.png " alt-text="Hive query output in HDInsight" border="true":::Insight" border="true":::
+    :::image type="content" source="./media/apache-spark-jupyter-spark-sql/hdinsight-spark-get-started-hive-query-output.png " alt-text="Screenshot that shows Hive query output in HDInsight." border="true":::
 
 1. From the **File** menu on the notebook, select **Close and Halt**. Shutting down the notebook releases the cluster resources, including Spark application.