Ultimate Google Certified Associate Cloud Engineer 2020
Welcome Cloud Professionals !
After being successful 1,50,000+ Students 2,06,000+ Subscriptions for Google Cloud Courses – We are welcoming you to new course for Cloud Engineer Certification !
200+ Questions with one timed Actual Questions Paper like Quiz !
We have covered all you need to understand Google Cloud Platform and Prepare for Google Cloud Engineer Certification with Plenty of Demos and labs.
650+ Students passed Certification Exam !!!
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The structure of this course
– Align exact Certification Syllabus with training materials.
– Detail Theory and Hands on Demo and Practice Labs !
– Questions on each service and Sections + Final Practice test (in weeks period)
– Syllabus coverage Analysis for every sections.
Section – 1 to 1 mapping with google certification outline for Certification Cloud Engineer
Section 1, 2, of the course is to get you started with Google Cloud platform
Google Certification syllabus mapping with course is as follows
Section 1: Setting up a cloud solution environment -> Section 4 of this course
Section 2: Planning and configuring a cloud solution -> Section 5 of this course
Section 3: Deploying and implementing a cloud solution -> Section 6 of this course
Section 4: Ensuring successful operation of a cloud solution -> Section 7 of this course
Section 5: Configuring access and security -> Section 8 of this course.
Still you think missing something – Please let us know and we will add it.
Please remember – you can always let us know on anything you want to add or if you have any questions, I or one of our team mate will respond you shortly.
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Google Cloud Platform overview
Section 1: Setting up a cloud solution environment
1.1 Setting up cloud projects and accounts. Activities include:
Assigning users to pre-defined IAM roles within a project.
Linking users to G Suite identities.
Enabling APIs within projects.
Provisioning one or more Stackdriver accounts.
Section 2: Planning and configuring a cloud solution
2.2 Planning and configuring compute resources. Considerations include:
Selecting appropriate compute choices for a given workload (e.g., Compute Engine, Kubernetes Engine, App Engine).
Using preemptible VMs and custom machine types as appropriate.
2.3 Planning and configuring data storage options. Considerations include:
Product choice (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Bigtable)
Choosing storage options (e.g., Regional, Multi-regional, Nearline, Coldline)
2.4 Planning and configuring network resources.
Identifying resource locations in a network for availability.
Configuring Cloud DNS.
2.4 Planning and configuring network resources. Tasks include:
Differentiating load balancing options.
2.1 Pricing Calculator
2.2 Compute Service
2.3 Database and Storage Service
2.4 Networking Service
Section 3: Deploying and implementing a cloud solution
3.1 Deploying and implementing Compute Engine resources. Tasks include:
Launching a compute instance using Cloud Console and Cloud SDK (gcloud) (e.g., assign disks, availability policy, SSH keys).
Creating an autoscaled managed instance group using an instance template.
Generating/uploading a custom SSH key for instances.
Configuring a VM for Stackdriver monitoring and logging.
Assessing compute quotas and requesting increases.
Installing the Stackdriver Agent for monitoring and logging.
Please download document and go through assignment.
3.2 Deploying and implementing Kubernetes Engine resources. Tasks include:
Deploying a Kubernetes Engine cluster.
Deploying a container application to Kubernetes Engine using pods.
Configuring Kubernetes Engine application monitoring and logging.
3.3 Deploying and implementing App Engine Tasks include:
Deploying an application to App Engine (e.g., scaling configuration, versions, and traffic splitting).