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GCP Certification Prep Crash Course: Associate Certified Cloud Engineer

Published by O'Reilly Media, Inc.

Intermediate content levelIntermediate

Using Google Cloud Platform effectively and efficiently requires an understanding of a range of IaaS, PaaS, and SaaS services to deploy virtual machines, use cloud functions, stand up Kubernetes clusters, configure networks, manage roles and identities, and use managed services like Cloud Pub/Sub, Cloud Dataproc, and Cloud Dataflow. If you’re working to pass the Google Cloud Associate Cloud Engineer exam, you’ll need to know which GCP compute service to use—and when.

Prepare to pass the Associate Cloud Engineer exam on your first go as expert Dan Sullivan takes you through the four main compute services covered in the test: Compute Engine, App Engine, Kubernetes Engine, and Cloud Functions. You’ll learn GCP's resource hierarchy and project structure; review identity management; work with Compute Engine VMs and managed instance groups, Kubernetes clusters, App Engine services, and Cloud Functions; use storage services, including Cloud Storage, Cloud SQL, BigQuery, Bigtable, and Datastore; create virtual private clouds, virtual private networks, firewall rules, and other network management tasks; and perform monitoring and logging with Stackdriver. Along the way, you’ll also dive into Cloud Pub/Sub, Cloud Dataflow, BigQuery, and Cloud Dataflow.

What you’ll learn and how you can apply it

By the end of this live online course, you’ll understand:

  • The four main compute services covered in the Associate Cloud Engineer exam: Compute Engine, App Engine, Kubernetes Engine, and Cloud Functions
  • The various storage services, when to use them, and how to operate and maintain them
  • How to use essential managed services, including BigQuery, Cloud Pub/Sub, and Cloud Dataflow
  • How to configure virtual private clouds, virtual private networks, and hybrid clouds
  • How to use Stackdriver to monitor performance and alert on significant events
  • Ways to use identities and roles to control access to GCP resources

And you’ll be able to:

  • Choose appropriate compute and storage services for a variety of business use cases
  • Manage identities, roles, and access controls
  • Deploy a variety of storage systems, including relational and NoSQL databases
  • Configure networks, including linking on-premises data centers to Google Cloud
  • Monitor resources and review logging information
  • Work with the Google Cloud console and command line SDK

This live event is for you because...

  • You want to become a certified Google Cloud Certified Associate Cloud Engineer.
  • You’re a solutions architect working with Google Cloud.
  • You’re a developer using GCP services to build applications.
  • You use another public cloud and want to understand the advantages of Google Cloud Platform.
  • You’re in a technical role responsible for implementing GCP services.
  • You’re a DevOps or SysOps engineer working with or interested in learning about GCP.

Prerequisites

  • A basic understanding of system management concepts (virtual machines, storage systems, networking, etc.)
  • A working knowledge of Linux command line utilities
  • A Google Cloud account (free tier with $300 credit)

Recommended preparation:

Recommended follow-up:

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

GCP computing options (30 minutes)

  • Presentation: Compute Engine and Kubernetes Engine; App Engine and Cloud Functions
  • Group discussion: When to use Compute Engine and Kubernetes Engine
  • Hands-on exercise: Create a Compute Engine VM using the Cloud Console
  • Q&A

GCP storage options (25 minutes)

  • Presentation: Object and persistent disk storage in GCP; relational and NoSQL databases
  • Group discussion: When to use object storage versus block storage
  • Hands-on exercise: Choosing a database for different business use cases
  • Q&A

Break (5 minutes)

Identity and access management in GCP (30 minutes)

  • Presentation: Resource hierarchy—organizations, folders, and projects; roles, permissions, and identities
  • Group discussion: When to use predefined versus custom roles
  • Hands-on exercise: Assign roles to a service account
  • Q&A

Essential managed services (25 minutes)

  • Presentation: Cloud Pub/Sub and Cloud Dataflow; BigQuery and Cloud Dataproc
  • Group discussion: Do you have streaming data use cases?
  • Hands-on exercise: Query public datasets in BigQuery
  • Q&A

Break (5 minutes)

Networking in GCP (30 minutes)

  • Presentation: Virtual private clouds, VPNs, and hybrid clouds; subnets, firewalls, DNS, and routes
  • Group discussion: Choosing a hybrid cloud networking option
  • Hands-on exercise: Configure a firewall rule
  • Q&A

Stackdriver monitoring and logging (30 minutes)

  • Presentation: Monitoring and alerting in Stackdriver; logging in Stackdriver
  • Hands-on exercise: Review the Stackdriver Monitoring console; search logs
  • Q&A

Your Instructor

  • Dan Sullivan

    Dan Sullivan is a cloud architect and systems developer specializing in data architecture, data analytics, and machine learning. He is the author of the Official Google Cloud Professional Architect Study Guide, the Official Google Cloud Professional Data Engineer Study Guide, and the Official Google Cloud Associate Engineer Study Guide. He is an experienced trainer and his online training courses have been viewed over 1 million times.

Skill covered

Google Cloud Certified - Associate Cloud Engineer