anarquias

Resources

https://cloud.google.com/certification/cloud-architect Definitely go through the Case Studies as they cover at least 30% of the exam questions. You do have a window pane of the case studies available for you to refer to.
https://cloud.google.com/certification/practice-exam/cloud-architect I found this as a good gauge of how 'ready' you are for the exam. It does give you a good sense of what the exam will be like
https://gcp.solutions Cookbook of GCP Solutions

aws allow-my-ip "Proxy-Cerebro" tcp 22 rbd_sys

	#!/usr/bin/env bash

	set -o errexit
	set -o nounset
	set -o pipefail

	IAM_GROUP=${1:-admins}
	EKS_ROLE_ARN=${2:-arn:aws:iam::111122223333:role/eks-node-role}
	RBAC_GROUP=${3:-system:masters}

	def evaluate_compliance(event, configuration_item, valid_rule_parameters):
	iam = get_client('iam', event)
	users = get_all_users(iam)
	evaluations = []
	for user in users:
	e = build_evaluation(user["UserId"], 'COMPLIANT', event, annotation="testing")
	evaluations.append(e)
	return evaluations

	The access pattern fits Nearline storage class requirements and Nearline is a more cost-effective storage approach than Multi-Regional.
	The object lifecycle management policy to delete data is correct versus changing the storage class to Coldline.

	Google Cloud Storage supports Multi-Regional buckets that synchronize data across regions automatically.
	Google Cloud SQL instances are deployed within a single region.
	Google Cloud Bigtable data is stored within a single region.
	Google Cloud Datastore is stored within a single region.

	Using a shared VPC allows each team to individually manage their own application resources, while enabling each application to communicate
	between each other securely over RFC1918 address space.

	GCP Cloud Architect - Part 3
	Case Studies
	Refreshed Nov 9th 2018; JencoMart completely dropped
	Overview - 3 case studies; 40-50% on the exam; Question on one side, Case study on other side
	Layout of Case study - 1.Company Overview 2.Solution concept - current goal 3.Existing Technical Env 4.Requirements(Tech/Business) 5.Executive statement
	Mountkirk Games
	Dress4Win
	TerramEarth

	Mountkirk Games

	Dataflow lifecycle
	migration concerns from migrating from on-premises over into google cloud
	code snippet to troubleshoot and diagnose

	Part 2 - Hands-on with tools

	Role of Cloud Architect
	plans, designs and builds the infrastructure for an org to host their workload on GCP; able to plan to scale;
	scalability and automation

	Google Certified Professional Cloud Architect - Part 1
	======================================================
	GCP Overview
	Google's suite of cloud computing services; run on same infra and network as google
	Compute -> App Engine, Container Engine, Compute Engine
	Storage -> Bigtable, Cloud Storage, Cloud SQL, Cloud Datastore
	Big Data -> BigQuery, Pub/Sub, Dataflow, Dataproc, Datalab
	Machine Learning -> Vision API, Machine Learning, Speech API, Translation API
	https://cloud.google.com/pricing
	Per second pricing for instances;Private Global Fiber network;Live migration of VMs;Better performance;Industry leading security;access to innovative resources(Big data,ML)

	The MIT License (MIT)

	Copyright (c) 2018 Pat Allan

	Permission is hereby granted, free of charge, to any person obtaining a copy
	of this software and associated documentation files (the "Software"), to deal
	in the Software without restriction, including without limitation the rights
	to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	copies of the Software, and to permit persons to whom the Software is
	furnished to do so, subject to the following conditions: