Build and Use a Kubernetes Cluster from Scratch
In this lab, you have two servers. You will install and setup Kubernetes to use containerd for container management. You will need to set up a Kubernetes cluster, install a network plugin, and add a Node to it.
3 m
Use kubectl with a Kubernetes Cluster
This hands-on lab includes two servers with Kubernetes and containerd installed and configured. You will need to add a Node to the cluster using the information provided, followed by the creation of a deployment file.
3 m
Test a Dynamic Admission Controller with Terraform
In this lab, you will be required to evaluate the dynamic admission controller using test pods created and deployed using Terraform. Two of the pods will have labels that comply with the validating webhooks policy, while one of the test pods will not.
1 h 3 m
Finding a Docker Hub Image
After completing this lab, you will have the knowledge and skills to search for container images using Docker's built-in command.
Build a Java Application Using Gradle and the AWS SDK
You'll use Gradle and the AWS SDK to create a Java project that will create an S3 bucket in AWS. Let's get started.
1 h
Using Regular Expressions and Athena to Query Data
In this hands-on experiment, we will use regular expressions and capturing groups to extract the appropriate log information from an AWS Glue database.
Implement Data Masking in Azure
Assume the position of a database owner, with the ability to inspect the tables within the database. This database owner must grant access to a user who does not have it.
Integrating Spring Application Configuration with AWS Parameter Store
Learn about the AWS Systems Manager Parameter Store and how to build secrets there. Secrets established in the Parameter Store can be removed from code and properties files, but they can still be retrieved by utilizing the appropriate code references.
1 h 15 m
Apply OCR to Search Scanned Documents in Azure AI Search
This hands-on experience will allow you to create an AI-enhanced Azure AI Search solution, which includes creating the search service, retrieving a variety of image types from an external source, importing that data to generate a search index, and adding a skillset powered by the Azure AI Vision service to perform OCR (optical character recognition) on the images.
45 m
Subjects
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