Preparing for Google Cloud Certification: Cloud Security Engineer Professional Certificate | Coursera


Preparing for Google Cloud Certification: Cloud Security Engineer Professional Certificate | Coursera
English | Size: 1.05 GB
Genre: eLearning

What you’ll learn
Learn the skills needed to be successful in a cloud security engineer role
Prepare for the Google Cloud Professional Cloud Security Engineer certification exam
Learn about Cloud Security including managing access, defining organizational structure/ policies, configuring network security, and analyzing logs.

Professional Certificate – 8 course series
87% of Google Cloud certified users feel more confident in their cloud skills*. This program provides the skills you need to advance your career as a security engineer and provides training to support your preparation for the industry-recognized
Google Cloud Professional Cloud Security Engineer
certification.

You’ll also have the opportunity to configure access, configure network security, and ensure data protection among other things.

Your journey to Google Cloud certification:

1) Complete the Coursera Google Cloud Security Professional Certificate.
2) Review other recommended learning resources for the
Google Cloud Professional Cloud Security Engineer exam.
3) Review the Google Cloud Professional Security Engineer exam guide.
4) Review the Professional Cloud Security Engineer sample questions.
5) Register for the Google Cloud certification exam. (The exam can be taken remotely or at a test center)

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* Percentages indicate those who strongly or somewhat agree with the statement. Findings from a survey conducted with Google Cloud certified individuals in May 2019 by an independent third-party research organization.

Applied Learning Project

Learners will create, update, delete, and undelete custom IAM roles – as they would do to provide access components within Google Cloud. They will enable internal IP addresses to be used between two VPC networks using network peering. Learners will create and configure a private cluster for Kubernetes in Google Cloud. The virtual machines on which the Kubernetes nodes run will not be externally accessible. They will use network policies to apply finely-grained restrictions to limit intra-cluster communication. Finally, they will provision two service accounts for two user personas and namespaces for dev, test, prod (i.e., development, test, and production). Learners will also assign API permissions to a cluster application and do some basic troubleshooting.

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