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I’m a Google Cloud Professional Data Engineer!

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I’m a Google Cloud Professional Data Engineer!
S
Shuvojit Kar
I'm energetic, ambitious person who has developed a mature and responsible approach to any task that I undertake, or situation that I am presented with. I am excellent at working with others to achieve a certain objective on time and with excellence. Customer Engineer| Al/ ML |AI Infrastructure | Cloud Migration |Technical Solution| Vertex AI| Cloud Database |Cloud Networking |DevOps Engineer| Technical Blogger| Generative AI| Google Cloud Ready Facilitator 🌐Linux Linux Professional Institute Certificate Technical Writer \ Cloud Networking Cloud Computing \ Cloud Infrastructure Cloud Consultant \ Customer Engineer 🌐Virtualization - VMware, vSphere, vCenter Server 🌐Programming Skill Technical Skills Proficiency in languages like Java, Python, Scala, or JavaScript. System Administration: Experience with Linux/Unix systems, Windows Server. Networking: Understanding of network protocols, routing, VPC, Subnets, Firewalls, VPNs, Load Balancers, switching, and firewall configurations. Cloud Platforms: Experience with AWS, Azure, or Google Cloud Platform. Databases: Knowledge of SQL and NoSQL databases like MySQL, PostgreSQL, MongoDB. Scripting: Ability to write scripts for automation using Bash, PowerShell, or similar. Monitoring and Logging: Familiarity with tools like Nagios, Prometheus, Grafana, ELK Stack. Configuration Management: Experience with tools like Ansible, Puppet, Chef. DevOps: Knowledge of CI/CD pipelines, Jenkins, Docker, Kubernetes. Security: Understanding of security best practices and tools, Cloud security best practices, IAM, Security Groups, Compliance. Infrastructure as Code: Terraform, CloudFormation, Ansible Compute Services: EC2, GCE, Azure VMs. Storage Solutions: S3, GCS Customer Service Skills:- Communication: Strong verbal and written communication skills. Problem-Solving: Ability to diagnose and resolve technical issues efficiently. Interpersonal Skills: Building and maintaining relationships with clients. Training and Education: Ability to conduct training sessions for clients. Project Management: Managing customer projects and ensuring timely delivery. Knowledge/experience in configuring and supporting devices such as Cisco, Juniper, Checkpoint, etc. Knowledge Cloud Migration, Presale, Data Center relocation, Go-to-Market Strategy. Certifications: AWS Certified Solutions Architect Microsoft Certified: Azure Solutions Architect Expert Google Professional Cloud Architect Certified Kubernetes Administrator (CKA)

I’m very proud to announce I passed the Google Cloud Professional Data Engineer certification! In this short post, I’ll provide a brief overview of the resources I used, as well as a few remote exam tips.

Resources

The resources I used are the following:

  • Professional Data Engineer Study Guide - Dan Sullivan (2019)

    • A very good resource that shows you different angles of data technologies.

    • Includes preparation questions, although the ones on the exam are more mixed and harder (at least, from my point of view).

  • A Cloud Guru - Professional Data Engineer course

    • A very good course provides a good overview, as well as training questions.

    • They have great summary slides of all the services.

  • Qwiklabs

  • Pluralsight course by Google

    • I mainly used this for exam prep (the last part of the course), which analyses some example questions.

  • Diagram from Linux Academy course

    • Great quick overview of the data services.

  • Google Cloud Documentation

    • Very useful for cost models, SLAs, release notes, and basic concepts of the service.

    • Check out this great overview sheet by Ivam Luz.

  • Study groups

    • I did weekly study sessions with my study partner Laurens Vijnck (who passed the PCA certification!)

    • Study groups and discussions help with understanding all the different offerings. I’ve learned that there are now open study groups on www.c2cglobal.com.

The study guide covers various topics from different perspectives. I still recommend doing all the qwiklabs in the quests and doing at least one video course. These all feel complementary to each other and will give you greater coverage and understanding.

I did this preparation spread across several months. It’s possible to do it faster, but it all depends on your personal schedule and prior experience.

Remote Exam Tips

  • You should follow the instructions very carefully, this includes making sure your desk is empty, no writing material, etc.

  • Make sure you also have a WiFi connection, as soon as you are in the exam environment, you lose access to your desktop. Walking around to scan the room with an Ethernet cable hanging from your laptop is no fun ;)

  • During the exam you can “mark” questions you want to revisit; I’d recommend you use this option so you can do several passes. If you’re not entirely sure, it might be better to revisit the question.

  • Keep an eye on the time; if you’re prepared, the questions are doable.

  • When in doubt, go for the “GCP native” answer. That being said, always look at the question in detail, there should be some hints in there…

  • After you complete the exam, you get a questionnaire before you get your tentative result.

Google Certification Data Engineer

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