GOOGLE CERTIFIED PROFESSIONAL-CLOUD ARCHITECH Tasks List

GOOGLE CERTIFIED PROFESSIONAL-CLOUD ARCHITECH Tasks List

TASKS:

1)Sign up for a Google Cloud free account.

2)create a project on GCP using the web-based console and delete the created project and again create one more new project “BOOKSHELF”.

3)Create a new user and give the necessary Permissions and roles.

4)Create Linux Instance and Install Apache on that Instance from Console.

5)Connect To Linux Instance Using SSH from the Public IP and Access The Apache Web Page through Web Browser.

6)Create Another linux Instance Using CloudShell.

7)Create Windows Instance from Console and Connect to it Using Remote Desktop-RDP.

8)Create Another Windows Instance using CloudShell.

9)Install IIS-Information Internet Services on Windows instance and Access the Page using Public Ip.

10)Create a Snapshot of the existing Instance.

11)Create Another Instance using the existing Snapshot.

12)Create a Instance Group for all your Instances.

13)Create a Virtual Private Network for Your project “BOOKSHELF”.

14)Reserve an Static Ip For Your Project “BOOKSHELF”.

15)Set the Inbound and outbound Firewall Rules for the Project “BOOKSHELF”.

16)Create a Google Cloud source repository.

17)Clone Source Code to Instance using Cloud Shell from :

1	https://github.com/GoogleCloudPlatformTraining/cp100-bookshelf

18)Push the Source Code to Google CLoud Source Repository.

19)Deploy the “BOOKSHELF” Application to APP Engine and Access through browser.

20)Create cloud sql instance and connect to instance using cloud shell.

21)create database & tables with sql commands in sql instance.

22)Create instance with development type in Bigdata section.After creating, upgrade to production type and connect to instance from cloud shell.

23)Create instance in cloud spanner. After creating instance, create table in instance using DDL statement.

24)How to Switch to Bookshelf project and create Bucket storage using cloud shell with gsutil command.

25)Deploy the new “BOOKSHELF” Application with Bucket storage in app engine from cloud shell.

26)Create a Container Cluster

27)Build the Docker Container to the Project “BOOKSHELF” and User Created Container Cluster.

28)Upload the Docker image to Container Registry.

29)Deploy the Application to Google Container Engine and Access through browser.

30)Create a new bucket.

31)Download and unzip a file from https://www.ssa.gov/OACT/babynames/names.zip in Local Machine then upload “yob2016.txt” file to newly created bucket.

32)In Big query,create datasets,create table by selecting “.txt” file from Bucket storage section and run a sql query to find top 5 males name from table.