Are you preparing for Google Cloud Certified Associate Cloud Engineer exam? Many questions would be hovering into your mind like what will be the difficulty level of the exam? On which GCP services should I spend more time? and so on.
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By running your VMware workloads on Google Cloud, you reduce your operational burden while benefiting from scale and agility, and maintain continuity with your existing tools, policies, and processes.
Google Cloud Certified Associate Cloud Engineer Exam
Google Cloud Certified Associate Cloud Engineer exam is intended for the Google Cloud Engineers who are expertise to deploy applications, monitor operations, and manage enterprise solutions. Associate Cloud Engineers can use Google Cloud Console and the command line interface to perform various tasks to maintain one or more deployed solutions on the Google Cloud platform.
The Associate Cloud Engineer exam checks one’s expertise to:
- Set up a cloud solution environment
- Plan and configure a cloud solution
- Deploy and implement a cloud solution
- Ensure the successful operation of a cloud solution
- Configure access and security
The biggest change that Google has done last month is Remote Home Testing – online proctored (OLP) exam
Google Associate Cloud Engineer Exam Details
Here is a quick insight into the basic exam details such as the number of questions, duration of the exam, registration fee, exam format etc.
- Length: Two hours
- Registration fee: $125 (plus tax where applicable)
- Languages: English, Japanese, Spanish, Indonesian.
- Exam format: Multiple choice and multiple select, taken remotely or in person at a test center.
- Exam Delivery Method: Take the online-proctored exam from a remote location.
- Prerequisites: None
- Recommended experience: 6 months+ hands-on experience with Google Cloud.
Official Practice Exam: https://cloud.google.com/certification/practice-exam/cloud-engineer
Preparation for the Google Associate Cloud Engineer Exam
The best you can do is go to online Training that you will provide you the background of the GCP Platform, you will find great option to do labs with the Training, any of them are good but at the end there is nothing like Login to the GCP Platform and work, it is super easy and the platform provide base kubernetes Platform to developing making is perfect to test drive the platform.
|Coursera||Google Cloud Platform Fundamentals: Core Infrastructure||Google Cloud Training|
|Coursera||Preparing for the Google Cloud Associate Cloud Engineer Exam||Google Cloud Training|
|Coursera||Architecting with Google Cloud Platform Specialization||Google Cloud Training|
|Udemy||Google Cloud Platform Associate Cloud Engineer Bootcamp||Joseph Holbrook|
|Linux Academy||Google Cloud Certified Associate Cloud Engineer||Ben Lambert|
|Coursera||Introduction to Cloud Identity||Google Cloud Training|
|Udemy||Google Cloud Associate Cloud Engineer||Mattias Andersson, Nigel Poulton|
|acloud.guru||Google Certified Associate Cloud Engineer 2019||Mattias Andersson|
Qwiklabs – Hands-On Cloud Labs
qwiklabs give you temporary credentials to Google Cloud Platform so you can learn the cloud using the real thing – no simulations. From 30-minute individual labs to multi-day courses, from introductory level to expert, instructor-led or self-paced, with topics like machine learning, security, infrastructure, app dev, and more, we’ve got you covered.
Google Cloud Essentials – https://google.qwiklabs.com/quests/23
Cloud Engineering – https://www.qwiklabs.com/quests/66
How many hours did I spend on the exam preparation?
So, I’m a working professional and couldn’t spend many hours on the preparation. So, as per my schedule, I decided to give 2-3 hours every day for 2 months to the exam preparation. also i took a week of Vacation from VMware and prepare every day for 6 hours on GCP Labs before processing to the Test, You can decide as per your schedule and your prior knowledge.
Which resources did I use to prepare for the exam?
I focused to make our online course and practice tests aligned with the Google Cloud Platform study guide and resources. For this, I used most of the official preparation resources, these are
- Official Google Cloud Certified Associate Cloud Engineer Study Guide
- Google Cloud Platform Documentation
- Google Cloud Engineer Practice Exam
What are the Important Topics for the Google Associate Cloud Engineer Exam Preparation?
No doubt, when we discuss the preparation of an exam, the main thing is what should I study, and what are the important topics. But before sharing the important topics for the preparation of Google Cloud Certified Associate Cloud Engineer exam, I’d like to answer a few questions that may be hovering into your mind.
It is very important to prepare yourself with the important topics to clear the exam in the first attempt. So, as per my experience, here a list of the important topics, you should have a proper understanding of, in order to pass the Google Cloud Certified Associate Cloud Engineer exam.
- How to list and describe the roles using CLI.
- How to filter the roles and members using GCP console.
- How to deploy applications on App Engine using CLI.
- Use cases on App Engine Versions functionality.
- How to split the traffic between multiple versions in the App Engine.
VPC – Networking
- How to configure firewalls and use cases.
- Shared VPC.
- VPC peering vs VPN vs Interconnect.
- Types of load balancers and use cases.
- How to create projects.
- Linking projects with the billing accounts.
- How to list and describe the existing configurations.
- How to create and manage projects via CLI.
- Required roes to create and manage the billing accounts.
- Understanding the relation between Billing accounts & Projects & Organizations.
- Setting up billing exports to estimate daily/monthly charges.
- The understanding of market place uses cases.
- Auto-scaling types When to use External IP address.
- Importance of metadata and labels.
- High availability.
- Understanding Managed and Unmanaged instance groups.
Cloud Storage (Object-based)
- storage classes.
- Multi-regional vs Regional vs Nearline vs Coldline.
- Changing or conversion of storage classes.
- Automatic deletion of objects and Objects transfer between the different storage classes using lifecycle policies.
- Planning and configuring data storage options (Cloud SQL, BigQuery, Cloud Spanner, Cloud Bigtable).
- The deployment process of docker file.
- How to create a docker file and understanding of container registry.
- Autoscaling in Kubernetes.
- Deploying a container application to Google Kubernetes Engine using pods.
- Configuring Google Kubernetes Engine application monitoring and logging.
- Relational databases: SQL vs Spanner.
- When to use BigQuery and Cloud Bigtable.
- Initializing data systems with products (e.g., Cloud SQL, Cloud Datastore, BigQuery, Cloud Spanner, Cloud Pub/Sub, Cloud Bigtable, Cloud Dataproc, Cloud Dataflow, Cloud Storage)
- Difference between Dataproc vs Dataflow.
- Questions based on Pub/Sub use cases and integration with other services
- Data Analytics tools use cases.
- Importance of Stackdriver in the Google cloud and how it works
- Creating and configuring the workspaces
- Creating Stackdriver alerts based on resource metrics
- How to add projects form different GCP accounts to single Stackdriver account via GCP console