How difficult is the exam?

Here are some details points to cover based on the exam guide:

Understand how Google views projects

   use a group, assign role to a group, add users to the group

    understand service accounts

    use IAM to add resources to IAM groups

Stackdriver-

     How to set it up for for the various services including kubernetes daemon sets

     How to collect logs, monitoring and filter data

     Understand Stack driver and its use cases for monitoring and logging for all google services not just compute. It’s also your audit trail for service like Big Query.

Creating billing accounts –

     focus on how the billing export piece works.

     Creating a billing account and is easy, as is linking projects, you should know this but the logic is in the question if you read carefully.

Pricing:

     Understand how things are measured. How are prices calculated. I didn’t review this at all but I do and did understand the dataflows of how data moves, is processed, and remembered…

     You should definitely know when you use each of the compute resources

     Compute Engine (VM), Kubernetes Engine (containers), App Engine, and Google cloud launcher..

     Preemptible VMs, what is this and how can it save you money.

Data Storage options.

    Cloud SQl, BigQuery, Cloud Spanner, Cloud Bigtable

    The different options for Storage Multi-Regional, Regional, nearline, and coldline.

    switching between the options

    Accessing the data stored in each both internally and externally (with/without google accounts.

Load Balancers

     Know the two LB options and how to use them.

     Check out the advanced settings and understand health checks.

    Understand sub-netting and VPC in general.

     http(s) load balancer with ssl offload.

Compute – understanding adding memory to an existing VM – what is the process.

SSH keys and how to use them across entire organizations.

Deploy a Kubernetes cluster and check out the options.

launch each services and review the options.

Google pub/sub and how it interacts with the different compute options or doesn’t

What are the offerings in cloud launcher.

Deployment Manager –

     Automate deployment of an application

     Promoting from test to prod projects

Section 4.

SSH to an instance, know the port, and perhaps the ports of other major services.

(RDP port)

Instance groups– read up on these find out about maintenance settings, autoscaling, templates, multiple instance groups.

Know the CLI commands

Gcloud config configurations and why you should use them to switch between projects and how configs are global for all services in the CLI.

Kubernetes

     How to deploy a docker image

     Container respository

     Nodes, pods, services, deployments, statefuls sets, daemon sets. Etc..

App engine resources.

     Traffic splitting, versioning, autoscaling, reverting

     Data Solutions

     Estimating cost of Big Query

How each of the storage types services a purpose and why it is used.

Don’t choose a bus when you needed a smart car.

Storage classes and how they apply.

Object lifecycle management

Sharing files externally and metadata flags.

Creating a VPC with multiple subnets and with and without routing options.

Reserving static addresses