Merge pull request #100081 from MicrosoftDocs/repo_sync_working_branch

Confirm merge from repo_sync_working_branch to master to sync with https://github.com/Microsoft/azure-docs (branch master)

Author: huypub

articles/data-share/overview.md

@@ -11,7 +11,7 @@ ms.date: 07/10/2019
 
 In today's world, data is viewed as a key strategic asset that many organizations need to simply and securely share with their customers and partners. There are many ways that customers do this today, including through FTP, e-mail, APIs to name a few. Organizations can easily lose track of who they've shared their data with. Sharing data through FTP or through standing up their own API infrastructure is often expensive to provision and administer. There's management overhead associated with using these methods of sharing on a large scale. 
 
-Many organizations need to be accountable for the data that they have shared. In addition to accountability, many organizations would like to be able to control, manage, and monitor all of their data sharing in a simple way. In today world, where data is expected to continue to grow at an exponential pace, organizations need a simple way to share big data. Customers demand the most up-to-date data to ensure that they are able to derive timely insights.
+Many organizations need to be accountable for the data that they have shared. In addition to accountability, many organizations would like to be able to control, manage, and monitor all of their data sharing in a simple way. In today's world, where data is expected to continue to grow at an exponential pace, organizations need a simple way to share big data. Customers demand the most up-to-date data to ensure that they are able to derive timely insights.
 
 Azure Data Share enables organizations to simply and securely share data with multiple customers and partners. In just a few clicks, you can provision a new data share account, add datasets, and invite your customers and partners to your data share. Data providers are always in control of the data that they have shared. Azure Data Share makes it simple to manage and monitor what data was shared, when and by whom. 
 

articles/mysql/concepts-connectivity.md

@@ -47,7 +47,7 @@ Database connections are a limited resource, so making effective use of connecti
 
 Managing database connections can have a significant impact on the performance of the application as a whole. To optimize the performance of your application, the goal should be to reduce the number of times connections are established and time for establishing connections in key code paths. We strongly recommend using database connection pooling or persistent connections to connect to Azure Database for MySQL. Database connection pooling handles the creation, management, and allocation of database connections. When a program requests a database connection, it prioritizes the allocation of existing idle database connections, rather than the creation of a new connection. After the program has finished using the database connection, the connection is recovered in preparation for further use, rather than simply being closed down.
 
-For better illustration, this article provides [a piece of sample code](./sample-scripts-java-connection-pooling.md) that uses JAVA as an example. For more information, see [Apache common DBCP](http://commons.apache.org/proper/commons-dbcp/).
+For better illustration, this article provides [a piece of sample code](./sample-scripts-java-connection-pooling.md) that uses JAVA as an example. For more information, see [Apache common DBCP](https://commons.apache.org/proper/commons-dbcp/).
 
 > [!NOTE]
 > The server configures a timeout mechanism to close a connection that has been in an idle state for some time to free up resources. Be sure to set up the verification system to ensure the effectiveness of persistent connections when you are using them. For more information, see [Configure verification systems on the client side to ensure the effectiveness of persistent connections](concepts-connectivity.md#configure-verification-mechanisms-in-clients-to-confirm-the-effectiveness-of-persistent-connections).

articles/notebooks/tutorial-create-run-jupyter-notebook.md

@@ -234,7 +234,7 @@ As the previous Markdown cell explained, you can include commands directly in th
 
     ![Busy indicator for the notebook kernel](media/tutorial/tutorial-kernel-busy.png)
 
-1. It also takes a little time for all of the `pip install` commands to run, and because you already installed these packages in the project environment (and because they're also included in Azure Notebooks by default), you see many messages that read, "Requirement already satisfied." All of that output can be visually distracting, so select that sell (using a single click), then use the **Cell** > **Cell Outputs** > **Toggle** to hide the output. You can also use the **Clear** command on that same submenu to remove the output entirely.
+1. It also takes a little time for all of the `pip install` commands to run, and because you already installed these packages in the project environment (and because they're also included in Azure Notebooks by default), you see many messages that read, "Requirement already satisfied." All of that output can be visually distracting, so select that cell (using a single click), then use the **Cell** > **Cell Outputs** > **Toggle** to hide the output. You can also use the **Clear** command on that same submenu to remove the output entirely.
 
     The **Toggle** command hides only the most recent output from the cell; if you run the cell again, the output reappears.
 

articles/stream-analytics/setup-cicd-vs-code.md

@@ -16,7 +16,9 @@ This article describes how to use the Azure Stream Analytics CI/CD npm package t
 
 You can enable continuous integration and deployment for Azure Stream Analytics jobs using the **asa-streamanalytics-cicd** npm package. The npm package provides the tools to generate Azure Resource Manager templates of [Stream Analytics Visual Studio Code projects](quick-create-vs-code.md). It can be used on Windows, macOS, and Linux without installing Visual Studio Code.
 
-Once you have [downloaded the package](https://www.npmjs.com/package/azure-streamanalytics-cicd), use the following command to output the Azure Resource Manager templates. The **scriptPath** argument is the absolute path to the **asaql** file in your project. Make sure the asaproj.json and JobConfig.json files are in the same folder with the script file. If the **outputPath** is not specified, the templates will be placed in the **Deploy** folder under the project's **bin** folder.
+You can [download the package](https://www.npmjs.com/package/azure-streamanalytics-cicd) directly, or install it [globally](https://docs.npmjs.com/downloading-and-installing-packages-globally) via the `npm install -g azure-streamanalytics-cicd` command. This is the recommended approach, which can also be used in a PowerShell or Azure CLI script task of a build pipeline in **Azure DevOps Pipelines**.
+
+Once you have installed the package, use the following command to output the Azure Resource Manager templates. The **scriptPath** argument is the absolute path to the **asaql** file in your project. Make sure the asaproj.json and JobConfig.json files are in the same folder with the script file. If the **outputPath** is not specified, the templates will be placed in the **Deploy** folder under the project's **bin** folder.
 
 ```powershell
 azure-streamanalytics-cicd build -scriptPath <scriptFullPath> -outputPath <outputPath>