LiveLabs #3683 QA updates (#151)

* LiveLabs #3683 QA updates

* Updated QA files

* fixed missing copy tag

* fixed image redaction

* screenshot reupload

spatial-python/access-jupyterlab/access-jupyterlab.md

@@ -12,7 +12,6 @@ Estimated Lab Time: 5 minutes
 * Explore notebook functionality
 * Select option for performing remainder of hands-on lab
 
-
 ## Task 1: Retrieve IP address for JupyterLab
 
 1. From the main menu, navigate to Compute > Instances
@@ -22,18 +21,15 @@ Estimated Lab Time: 5 minutes
 2. In the workshop instructions page, click **View Login Info** at the top left and copy your Compartment name.
 
   ![Retrieve IP address](images/compartment.png)
-
-
- 1. In the OCI console, paste in your Compartment name and select it from the pull-down. 
+
+3. In the OCI console, paste in your Compartment name and select it from the pull-down. 
 
   ![Retrieve IP address](images/compute-02.png)
 
-
- 4. Note the Public IP of your compute instance. JupyerLab has been set on on this instance. You will use this later in this and other Labs. 
+4. Note the Public IP of your compute instance. JupyerLab has been set on on this instance. You will use this later in this and other Labs.
 
   ![Retrieve IP address](images/compute-03.png)
 
-
 ## Task 2: Verify access to JupyterLab 
 
 1. Open a new browser tab and enter the URL **http://[IP address]:8001/lab** where [IP address] is the address retrieved in Task 1. 
@@ -42,7 +38,7 @@ Estimated Lab Time: 5 minutes
 
 2. Enter the password **livelabs** and click **Log in**. 
 
-## Task 2: Explore Jupyter Notebooks
+## Task 3: Explore Jupyter Notebooks
 
 Jupyter Notebook is an interactive web-based tool that allows you to create and share documents that contain live code, equations, visualizations, and text. It is widely used in the data science community for prototyping and data analysis.
 
@@ -62,7 +58,6 @@ In this task, we will walk through the basics of using Jupyter Notebook.
 
    ![create a new Python notebook](./images/launcher3.png) 
 
-
 2. Add some markdown Text.
 
    Click on the code cell and use the use the cell type drop down to select 'Markdown'
@@ -93,9 +88,8 @@ In this task, we will walk through the basics of using Jupyter Notebook.
 
 4. To save a Jupyter Notebook, click on the "Save" icon on the toolbar, or press Ctrl+S (or Cmd+S on macOS). The notebook will be saved with the .ipynb file extension.
 
-
 ## Acknowledgements
 
 - **Author** - David Lapp, Database Product Management, Oracle
 - **Contributors** - Rahul Tasker, Denise Myrick, Ramu Gutierrez
-- **Last Updated By/Date** - David Lapp, August 2023
+- **Last Updated By/Date** - Denise Myrick, November 2024

spatial-python/connect-to-adb/connect-to-adb.md

@@ -1,9 +1,8 @@
 # Connect to  Autonomous Database from Python
 
-
 ## Introduction
 
-To prepare for data loading and analysis, you first establish a connection from Python to your Autonomous Database. The python-oracledb driver supports this connection and all subsequent database interactions.  You will use the python-oracledb driver's ‘Thin’ mode which connects directly to Oracle Database and does not need Oracle Client libraries. 
+To prepare for data loading and analysis, you first establish a connection from Python to your Autonomous Database. The python-oracledb driver supports this connection and all subsequent database interactions.  You will use the python-oracledb driver's ‘Thin’ mode which connects directly to Oracle Database and does not need Oracle Client libraries.
 
 Estimated Lab Time: 5 minutes
 
@@ -17,10 +16,10 @@ Estimated Lab Time: 5 minutes
 
 ## Task 1: Create connection parameter files
 
-1. To avoid including database connection information directly in your notebook, you create files with this information which your notebook can reference. In JupyterLab, click on the Text File tile to create a new text file. 
+1. To avoid including database connection information directly in your notebook, you create files with this information which your notebook can reference. In JupyterLab, click on the Text File tile to create a new text file.
   ![Connect to ADB](images/connect-to-adb-01.png)
 
-2. Enter your ADB ADMIN user password. Then from the File menu select **Save Text**. 
+2. Enter your ADB ADMIN user password. Then from the File menu select **Save Text**.
   ![Connect to ADB](images/connect-to-adb-02.png)
 
 3. When prompted enter **my-pwd.txt** as your file name and click **Rename**.
@@ -30,12 +29,12 @@ Estimated Lab Time: 5 minutes
    ![Connect to ADB](images/connect-to-adb-04.png)
 
 5. Return to your Oracle Cloud browser tab click on **Database Connection**.
-  ![Connect to ADB](images/connect-to-adb-06.png)
+  ![Connect to ADB](images/connect-to-adb-06-v3a.png)
 
-1. Scroll down to the Connection Strings section. For TLS Authentication, select **TLS**. This is required to allow Thin mode connections. Then Under Connection String click **Copy** for the TNS Name ending in \_low.
+6. Scroll down to the Connection Strings section. For TLS Authentication, select **TLS**. This is required to allow Thin mode connections. Then Under Connection String click **Copy** for the TNS Name ending in \_low.
   ![Connect to ADB](images/connect-to-adb-07.png)
 
-1. Return to your JupyterLab browser tab. As done previously, click on the Text File tile to create another new text file. Paste the connection string just copied from your Autonomous Database. Then save the file and rename to **my-dsn.txt**. 
+7. Return to your JupyterLab browser tab. As done previously, click on the Text File tile to create another new text file. Paste the connection string just copied from your Autonomous Database. Then save the file and rename to **my-dsn.txt**.
   ![Connect to ADB](images/connect-to-adb-08.png)
 
   As done previously, close the text file tab to return to the Launcher page.
@@ -45,7 +44,7 @@ Estimated Lab Time: 5 minutes
 1. From the Launcher, click the **Python 3** tile to create a new notebook.
   ![Connect to ADB](images/connect-to-adb-09.png)
 
-1. In the first cell, paste the following statement and then click the **run** button. This loads the python-oracedb module which handles interaction with Oracle Database. 
+2. In the first cell, paste the following statement and then click the **run** button. This loads the python-oracledb module which handles interaction with Oracle Database.
 
      ```
      <copy>
@@ -54,7 +53,7 @@ Estimated Lab Time: 5 minutes
      ```
      ![Connect to ADB](images/connect-to-adb-10.png)
 
-2. In the next cell, paste the following statements and then click the **run** button. This loads your ADB password and DSN into variables
+3. In the next cell, paste the following statements and then click the **run** button. This loads your ADB password and DSN into variables
 
      ```
      <copy>
@@ -65,7 +64,7 @@ Estimated Lab Time: 5 minutes
      ```
      ![Connect to ADB](images/connect-to-adb-11.png)
 
-3. In the next cell, paste the following statements and then click the **run** button. This creates a connection to your ADB.
+4. In the next cell, paste the following statements and then click the **run** button. This creates a connection to your ADB.
 
      ```
      <copy>
@@ -76,7 +75,7 @@ Estimated Lab Time: 5 minutes
      ```
      ![Connect to ADB](images/connect-to-adb-12.png)
 
-3. In the next cell, paste the following statements and then click the **run** button. This runs a test query to verify successful connection to ADB.
+5. In the next cell, paste the following statements and then click the **run** button. This runs a test query to verify successful connection to ADB.
 
      ```
      <copy>
@@ -88,23 +87,22 @@ Estimated Lab Time: 5 minutes
      ```
      ![Connect to ADB](images/connect-to-adb-13.png)
 
-
-4. Right-click on your notebook file Untitled.ipynb in the left panel and select **Rename**.
+6. Right-click on your notebook file Untitled.ipynb in the left panel and select **Rename**.
 
      ![Connect to ADB](images/connect-to-adb-14.png)
 
-
-5. Enter **my-notebook** (or a name of your choosing). Observe the notebook name is changed.
+7. Enter **my-notebook** (or a name of your choosing). Observe the notebook name is changed.
 
      ![Connect to ADB](images/connect-to-adb-15.png)
 
 You may now **proceed to the next lab**.
 
 ## Learn More
+
 * For more info on python-oracledb connections to Autonomous Database, please see the [documentation](https://python-oracledb.readthedocs.io/en/latest/user_guide/connection_handling.html#connecting-to-oracle-cloud-autonomous-databases).
 
 ## Acknowledgements
 
 - **Author** - David Lapp, Database Product Management, Oracle
 - **Contributors** - Rahul Tasker, Denise Myrick, Ramu Gutierrez
-- **Last Updated By/Date** - David Lapp, August 2023
+- **Last Updated By/Date** - Denise Myrick, November 2024

spatial-python/create-adb/create-adb.md

@@ -1,6 +1,5 @@
 # Create Autonomous Database
 
-
 ## Introduction
 
 Oracle Autonomous Database is a self-driving, self-securing, self-repairing database service, including Oracle Spatial, with offerings for data warehousing and transaction processing workloads. You do not need to configure or manage any hardware, or install any software. Oracle Cloud Infrastructure handles creating the database, as well as backing up, patching, upgrading, and tuning the database. As this workshop focuses on an analytic use case, you create an Autonomous Date Warehouse (ADW).
@@ -9,7 +8,7 @@ Estimated Lab Time: 5 minutes
 
 ### Objectives
 
-* Create an Autonomous Database instance 
+* Create an Autonomous Database instance
 
 ### Prerequisites
 
@@ -20,33 +19,30 @@ Estimated Lab Time: 5 minutes
 1. From the main navigation panel select **Oracle Database**, then select **Autonomous Database**.
   ![Navigate to Oracle Database](images/adb-01.png)
 
-1. Your Compartment should still be selected. If not then re-select it. Then click **Create Autonomous Database**. 
-
-  ![Select compartment](images/adb-02.png) 
+2. Your Compartment should still be selected. If not then re-select it. Then click **Create Autonomous Database**.
 
-1. For display name enter **my-adw**. Leave the database name as the default value. Leave workload type as Data Warehouse. 
+  ![Select compartment](images/adb-02.png)
 
-   **Note:** You must select workload type Data Warehouse. Selecting Transaction Processing will result in a quota error. 
+3. For display name enter **my-adw**. Leave the database name as the default value. Leave workload type as Data Warehouse.
 
-   ![Create ADW](images/adb-03.png) 
+   **Note:** You must select workload type Data Warehouse. Selecting Transaction Processing will result in a quota error.
 
-2. For deployment type leave the default **Serverless**. Also leave the defaults for version (19c), ECPU count (2), and storage (1TB). Then scroll down.
-   ![Create ADW](images/adb-04.png) 
+   ![Create ADW](images/adb-03.png)
 
-3. Enter and confirm a password for the database ADMIN user. Then scroll down.
-   ![Create ADW](images/adb-05.png) 
+4. For deployment type leave the default **Serverless**. Also leave the defaults for version (23ai), ECPU count (2), and storage (1TB). Then scroll down.
+   ![Create ADW](images/adb-04v2.png)
 
-4. In the next lab, you will be creating to a connection from Python to Autonomous Database using a simple method that does not require an Oracle Client install or Cloud Wallet. To use this method you must pre-configure your Autonomous Database to allow access from the compute instance hosting Python. For network access, select **Secure access from allowed IPs and VCNs only**. Under Values, enter the compute IP address from Lab 1 Task 1.
- ![Create ADW](images/adb-07.png) 
+5. Enter and confirm a password for the database ADMIN user. Then scroll down.
+   ![Create ADW](images/adb-05.png)
 
-1. In the next section select **Bring your own license (BYOL)** and **Oracle Database Enterprise Edition (EE)**.  For contacts, enter your email address. Then click **Create Autonomous Database**.
- ![Create ADW](images/adb-08.png)
+6. In the next lab, you will be creating to a connection from Python to Autonomous Database using a simple method that does not require an Oracle Client install or Cloud Wallet. To use this method you must pre-configure your Autonomous Database to allow access from the compute instance hosting Python. For network access, select **Secure access from allowed IPs and VCNs only**. Under Values, enter the compute IP address from Lab 1 Task 1.
+ ![Create ADW](images/adb-07.png)
 
-1. ADB provisioning will begin.
- ![Create ADW](images/adb-09.png) 
+7. ADB provisioning will begin.
+ ![Create ADW](images/adb-09v2.png)
 
-1. When provisioning is complete your ADB is ready.
- ![Create ADW](images/adb-10.png) 
+8. When provisioning is complete your ADB is ready.
+ ![Create ADW](images/adb-10v2.png)
 
 ## Task 2: Select option for performing the remainder of this hands-on lab
 
@@ -56,26 +52,24 @@ The remainder of this hands-on lab may be performed using either of the followin
 
    1. Proceed to **Lab 3** and then subsequent labs.
 
-
-**Option 2:** Load a pre-built notebook with all steps and run each cell. 
-
-   1. Perform **Lab 3 - Task 1** 
+**Option 2:** Load a pre-built notebook with all steps and run each cell.
+
+   1. Perform **Lab 3 - Task 1**
    2. Perform **Lab 4 - Task 1**
    3. Perform **Lab 6 - Task 4 - Steps 5-6**
    4. Click the following link to download the pre-built notebook to you laptop:
-     * [prebuit-notebook.ipynb](../access-jupyterlab/files/prebuilt-notebook.ipynb) 
+     * [prebuilt-notebook.ipynb](../access-jupyterlab/files/prebuilt-notebook.ipynb)
 
    5. Click the upload button and select the prebuilt notebook.
-     
+
      ![Use prebuilt notebook](./images/prebuilt-nb-01.png)
 
    6. Double-click on the prebuilt notebook to open it and run each cell.
 
      ![Use prebuilt notebook](./images/prebuilt-nb-02.png)
 
-
 ## Acknowledgements
 
 - **Author** - David Lapp, Database Product Management, Oracle
 - **Contributors** - Rahul Tasker, Denise Myrick, Ramu Gutierrez
-- **Last Updated By/Date** - David Lapp, August 2023
+- **Last Updated By/Date** - Denise Myrick, November 2024