- Explain the advantages of Google Cloud Platform.
- Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones.
- Compare Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).
- Identify the purpose of projects, folders, and organization nodes on Google Cloud Platform
- Describe the purpose of and use cases for Identity and Access Management
- List the methods of interacting with Google Cloud Platform
- Build a solution deployment using Cloud Launcher.
- Identify the purpose of and use cases for Google Compute Engine
- Summarize the various Google Cloud Platform networking and operational tools and services
- Build a Compute Engine virtual machine using the Google Cloud Platform (GCP) Console.
- Build a Compute Engine virtual machine using the gcloud command-line interface.
- Summarize the purpose of and use cases for: Cloud Storage, Cloud SQL, Cloud Spanner, and Cloud Bigtable
- Choose between the various storage options on Google Cloud Platform
- Build a BigQuery table using data from Cloud Storage.
- Use SQL queries to analyze data stored in BigQuery.
- Define the concept of a container and identify uses for containers
- Identify the purpose of and use cases for Google Container Engine and Kubernetes
- Build a Kubernetes cluster using Kubernetes Engine.
- Deploy and manage Docker containers in Kubernetes Engine using the kubectl command.
- Explain the purpose of and use cases for Google App Engine and Google Cloud Datastore
- Compare the App Engine Standard environment with the App Engine Flexible environment
Express the purpose of and use cases for Google Cloud Endpoints - Express the purpose of and use cases for Apigee Edge.
- Preview an App Engine application using Cloud Shell.
- Launch an App Engine application and then disable it.
- Understand options for software developers to host their source code.
- Understand the purpose of template-based creation and management of resources.
- Understand the purpose of integrated monitoring, alerting, and debugging.
- Build a Deployment Manager deployment.
Update a Deployment Manager deployment. - View the load on a VM instance using Stackdriver.
- Understand the purpose of and use cases for the products in the Google Cloud big data platform..
- Understand the purpose of and use cases for the products in the Google Cloud machine learning platform.
- Load data into a BigQuery table from Cloud Storage.
- Use SQL queries to analyze data in BigQuery.
- Compare GCP's compute services.
- Compare GCP's storage services.
- Compare Google VPC's networking capabilities.
Cloud Solution Architect - Customer Success in security💗🌎
2개의 댓글
2025년 1월 14일
The Dames stads e-bike is revolutionizing the way women navigate urban environments. Combining convenience, comfort, and eco-friendly design, this e-bike makes commuting through busy city streets a breeze. With an electric motor that assists pedaling, the Dames stads e-bike ensures smooth rides, even on longer journeys or uphill routes. Its sleek design and lightweight frame make it ideal for city dwellers, while its durable construction guarantees a reliable ride in all weather conditions. Whether you’re heading to work or running errands, the Dames stads e-bike is the perfect choice for modern urban transportation.
답글 달기
In today’s fast-paced digital world, data retrieval needs to be swift and accurate. This is where SpeedyIndex comes in, a powerful tool designed to enhance indexing efficiency. speedyindex uses advanced algorithms to ensure quick access to vast amounts of data, reducing the time spent on searching and retrieving information. Whether you're managing a large database or need a more responsive system for your application, SpeedyIndex streamlines the entire process. By improving search performance and reliability, SpeedyIndex stands out as a key solution for businesses seeking to optimize their data handling capabilities.