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This challenge lab tests your skills and knowledge from the labs in the Kubernetes in Google Cloud quest. You should be familiar with the content of the labs before attempting this lab.
In this lab you explore various ways to load data into Cloud Spanner as well as perform a backup of your database.
Use an inventory manager AppSheet app, configure connections via webhooks, and automate what will happen for some common changes in the data.
In this lab you'll use Migrate to Containers to migrate a Compute Engine VM instance to a corresonding container image hosted in a Kubernetes pod.
Explore using Dart Function Frameworks in a Flutter application. Example based on this <a href="https://www.youtube.com/watch?v=v3rOI9lkftw">demo</a>.
Learn how to monitor an Apache Web Server installed on a Compute Engine virtual machine (VM) instance using Ops Agent.
Monitor cloud environments with Prometheus: hands-on lab for deploying clusters, managing collections, and filtering metrics in Google Cloud Platform.
This challenge lab tests your skills and knowledge from the labs in the Engineer Data in Google Cloud quest. You should be familiar with the content of labs before attempting this lab.
Learn how to perform financial account reconciliation tasks using Cloud Spanner, Dataflow, and BigQuery.
AutoML Images helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).
In this lab, you create a Cloud Composer environment using the GCP Console. You then use the Airflow web interface to run a workflow that verifies a data file, creates and runs an Apache Hadoop wordcount job on a Dataproc cluster, and deletes the cluster.
In this lab, you create a complete turn-key High Performance Computing (HPC) environment in Google Cloud.
Your challenge is to migrate the database to Google Cloud SQL and then reconfigure the application so that it no longer relies on the local MySQL database.
Create a delivery pipeline using Google Cloud Deploy, create a release for a basic application, and promote the application through a series of Google Kubernetes Engine targets
Data validation is a critical step in data warehouse, database, or data lake migration.
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