Yes, You read that right!
I've earned my 4th Google Cloud Certification Developer as well as my 5th Certification Google Cloud Network Engineer each in a week.
I was able to pass all three Google Cloud certifications in 3 days. In this article, I'll share the tools and strategies I used to assist you in preparing in preparation for GCP certification.
A little about me:
I am an experienced Python+Django developer with extensive knowledge of Python-based scripting as well as Google Cloud Platform working with MediaAgility. I have had the pleasure of creating and developing projects to production scale from beginning to finish. At MediaAgility I am part of the Machine Learning team. Because my company is an official Google Cloud Premier Partner, I have also been involved in GCP migrations, including setting up production-grade networks, Kubernetes, and GCP infra automation (IAM networking, IAM, Kubernetes, Dataproc, VM, and much more).
The conditions...
Google Cloud certifications need a balanced mix of theoretical and practical knowledge. For the theoretical, Google Cloud documentation is an excellent resource. To enhance your skills on the job it is necessary to regularly and thoroughly. You can get a free $300 credit offered by GCP and test various services or enroll in the Coursera Google Cloud Architect or Data Engineer course and go through all the videos and finish all Labs.
Week 1 -- Google Cloud Architect:
I began with Coursera's Architecting through Google Cloud Training. This exam examines your capability to build and answer using the Google Cloud. It's about 80percent conceptual and 20 percent of it is practical. You need to be aware of it before you start what it is.
A variety of managed services are available on Google Cloud
What elements in Cloud can be combined to create the solution
I watched the entire series within a couple of days and missed the ideas that I was already aware of due to my previous experience with Google Cloud. Below are the most important topics -
Networking: It's the most crucial topic that encompasses everything regarding Google Cloud Networking. A word of caution: regular practice is required to grasp all the concepts of theory like this topic. You should be able to write GCloud commands to IAM Roles.
- - Shared VPC as well as VPC peering
Subnets
- Cloud Router
-- Firewall Rules
- Load Balancing
Storage: You need to know the various storage options within Google Cloud and when to utilize the options. Follow this link for more details.
Compute: This covers App Engine Compute Engine and Kubernetes. It is important to master deployment versions, rollback, and rollback in App Engine. In Kubernetes, you will need to learn docker files, how to create docker files and different types of docker files and what are the various elements of the Kubernetes cluster (pod node, services, node load balancing, and exposing services to outsiders). You should have a good understanding of the various parts of the YAML file that composes this construct.
Deployment: You should learn the various components of the deploy .yaml file. In this article, you will be able to anticipate some interesting questions related to the deployment manager.
Monitoring: You must keep track of the Stackdriver stack i.e. monitoring, logging, tracing, debugging, profiling. Logging, filtering, and creating alerts to monitor are essential topics to know about.
Security It involves dealing with IAM Roles and Firewall configurations, as well as other settings. Some certain roles or permissions are specific to. You should have a good grasp of the different roles IAM provides. IAM offers.
Week 2 -- Associate Cloud Engineer
This certification examines your capability to implement an application using Google Cloud. You must know about Google Cloud (or working with GCloud SDK as well as Google Cloud Console.
More information on the exam is available here.
You should be able to execute the following tasks:
IAM Roles This subject is an absolute must. You need to be able to create GCloud commands for IAM Roles.
- Transferring role descriptions from one program to another
- Custom Roles
IAM roles in BigQuery AppEngine IAM roles, BigQuery IAM roles, and more
- Invoice IAM Roles
Service Accounts
Compute/App Engine/Kubernetes: You need to understand how to create a compute VM using pictures, how you can make photographs, disk images and how do you share them with different projects as well as what the standard scopes are are are for Compute VM. Other topics include the deployment of apps on App Engine rolling back, versioning, and the differences between the standard and flexible environments. To use Kubernetes it is necessary to be able to create a docker image, then deploy it on Kubernetes cluster, create a Kubernetes cluster, create deployments, pod, and services YAML files and be aware of mounting storage within Kubernetes.
Networking: You should learn how to configure VPC as well as custom mode VPC and automated subnet VPC. Also, you will learn ways to build subnets to Compute or Kubernetes (we have to define pods and service subnet ranges and the secondary subnet scope).
Week 3 -- Data Engineer
This certification will test your ability to develop big data solutions using GCP. This exam will require you to be familiar with the major data products (storage display, processing, and storage) and open-source alternatives too. This is necessary as a few of the questions require you to provide GCP alternatives to open source products for big data.
BigQuery is the software you need to comprehend clearly. If you can comprehend BigQuery it is possible to complete 40 percent on this exam.
This course -is Data Engineering about Google Cloud Platform Specialization, by Coursera is a great way to get started.
This piece, this article, and this article are useful to know. They are all about writing or saving queries and moving data into-out from BigQuery.
Find out about the BigQuery service for data transfer and how to use BigQuery to store GeoData.
A few questions about BigQuery ML.
Giving an overview of some other topics as well as a few additional information sources:
It is essential to have a thorough grasp of the Hadoop ecosystem. Many of the tools in the Hadoop ecosystem come with an alternative to GCP such as Data Proc used for Hadoop Spark cluster Dataflow to Apache Beam, Composer for Airflow, and many more.
Case Studies:- Go to the section on case studies on this page. You must be able to break down these cases into smaller pieces and then find an alternative to the GCP alternative.
You should be able to comprehend how various GCP components work with GCP large data services.
A few questions about Data Studio, viewing BigQuery data in Data Studio along with caching idea.
Find out more about DataFlow source and sink for Dataflow processing data.
GCS -- You need to know the various types of GCS transfer of the data between classes, as well as the lifecycle of an object and methods of getting the data in GCS and which components can be utilized to work with GCS the use of GCS in conjunction with DataProc cluster.
Find out about the uses for DataPrep and DataLab within GCP and the intended those who use these products.
Machine LearningMachine Learning - This is the part that a data engineer isn't proficient in. It's difficult to find an individual who is knowledgeable about the two fields of Big Data and Machine Learning and that's the subject this exam will test you on. There is no requirement to be an expert in Machine learning but you need to be aware of the basics of machine learning.
Bias-Variance trade-offs, overfitting and fitting too tight, training and linear regression Classification Gradient descent
Modeling models for machine learning. what's the purpose of GCP MLE (Machine learning engine)
My Schedule
I was studying between 10 p.m. and 2 a.m for 3 weeks of preparation. I had to look after my health to ensure that I remain focused. This is why I recommend that you eat a balanced diet and don't let tension consume you!
Tips for Exams and A Few Other Resources and Information:
Be sure to know the Compute tools on GCP
You should have good knowledge about Google Cloud Storage
Monitoring Stackdriver is essential. It is possible to expect 3-4 easy-to-answer questions on Stackdriver
It is important to understand the IAM roles
It is important to know what GCP architecture and design are and provide a problem-solving statement. For more details, refer to this
You must be able to be aware of the way resources are organized in the projects as well as how the project is organized, folders and structure work within GCP
You must be able to answer GCP test questions. Practice exam questions
Don't be concerned about the exam time It's not a problem, the exam is 2 hours long and you'll have ample time to go over the answers once. If you're not certain of a particular answer, make sure you make sure the answer you believe is correct, as well as mark the problem "review later." Then revisit the question with new eyes after you've completed all other tests. It is also possible that you can determine the correct answer to the questions before you have answered the remaining questions.
If you can comprehend the 'How-to' and "Concepts section in the Google Cloud documentation, you probably have 70% of the information is required to pass GCP certification the rest of the 30% is the practice, experience, and state of mind you have when you take the exam. Also, be sure to pass the exam in a calm mental state. Enroll for GCP training in chennai to clear the exam asap.