GCP associate cloud engineer:- The Google Cloud Certified – Associate Cloud Engineer is a certification offered by Google Cloud Platform (GCP). This certification is designed for individuals who have hands-on experience with Google Cloud Platform and can demonstrate their ability to deploy, monitor, and maintain projects on GCP.
| Certification | Name Of Certification | Sub Category | Duration & Fee |
| Foundation certification | Cloud digital leader | Cloud digital leader | 90min/ $99 |
| Associate certification | Associate Cloud Engineer | Associate Cloud Engineer | 2H/$125 |
| Professional certification | Professional …. Engineer | cloud architect, Clod Developer,Cloud Network Engineer, Data Engineer, |
2H/$200 |
You get three chances each year to take a Google Cloud exam. If you don’t pass, there’s a waiting period of about 14 days before you can try again. You also have options to retry after 60 days or 365 days.
What Google Cloud Platform:-
Cloud Computing is the On-demand delivery of Compute power, database, storage & applications, and Other IT Resources through a Cloud Service platform via the Internet with pay-as-you-go.
Why Google Cloud Platform:-
| 1 | Scalability: | GCP offers scalable resources, allowing you to easily adjust computing power and storage based on your needs. This scalability is particularly useful for growing businesses or applications with varying workloads. |
| 2 | Global Network: | Google has a vast global network infrastructure, providing low-latency access to resources from various locations. This is advantageous for applications that require high-performance and responsive services. https://cloud.google.com/about/locations#network |
| 3 | Comprehensive Services: | GCP provides a wide range of services, covering computing, storage, databases, machine learning, analytics, and more. This comprehensive set of tools allows you to build and deploy diverse applications without relying on multiple providers. |
| 4 | Machine Learning and AI: | Google is AL driven cloud, known for its expertise in machine learning and artificial intelligence. GCP offers advanced machine learning services and tools, making it an excellent choice for projects that involve data analysis, prediction, and other AI-driven tasks. https://cloud.google.com/products/ai?hl=en |
| 5 | Security: | Trust nothing by default. Google places a strong emphasis on security, implementing robust measures to protect data and ensure the integrity of services. GCP provides encryption, identity management, and other security features to safeguard your applications and data. |
| 6 | Big Data Solutions: | GCP offers powerful tools for managing and analyzing large datasets. Services like BigQuery and Dataflow make it easier to process and gain insights from massive amounts of data. |
| 7 | Cost Efficiency: | GCP offers competitive pricing and flexible billing options. With pay-as-you-go models and various pricing plans, you can optimize costs based on your usage patterns. |
| 8 | open cloud platform | Open cloud relies on open source. We have a long history of leadership in open source—from projects like Kubernetes, TensorFlow, and more. Open source gives you the flexibility to deploy—and, if necessary, migrate—critical workloads across or off public cloud platforms. https://cloud.google.com/open-cloud |
Characteristics of Cloud
| 1 | On-demand self-service |
| 2 | Broad Network Access |
| 3 | Scalability |
| 4 | Resource Pooling |
| 5 | Measured services |
Service in cloud
IAAS:- infrastructure as a service
PAAS:- Platform as a service
SAAS:- Software as a service
Model:-
| 9 | Application | SAAS | ||
| 8 | Data | SAAS | ||
| 7 | Runtime | PAAS | SAAS | |
| 6 | Middleware | PAAS | SAAS | |
| 5 | os | IAAS | PAAS | SAAS |
| 4 | Virtualization | IAAS | PAAS | SAAS |
| 3 | Server | IAAS | PAAS | SAAS |
| 2 | storage | IAAS | PAAS | SAAS |
| 1 | Network | IAAS | PAAS | SAAS |
Deployment of cloud
(1) Public Cloud
(2) Private cloud
(3) Hybrid cloud