Practical Exercises for the Google Cloud Associate Data Practitioner Certification
Apr 29, 2025
Learn GCP Hands-On by Using its Services
The Google Cloud platform provides guided, interactive, and hands-on learning experiences through its hands-on laboratories.
One can have practical experience with GCP products and services by gaining access to these labs. The primary goal of these self-paced laboratories is to instruct users on how to utilize the tools and services in a guided manner.
One of the main ideas of GCP Virtual Labs is “learn by doing.” Real-time access to an authentic GCP environment is given to learners so they can practice utilizing certain services and functionalities.
Cloud computing, machine learning, data analytics, infrastructure management, and other subjects are all covered in Google Cloud Hands-on Labs.
The Google Cloud self-paced labs are accessible to both novice and expert users.
For both experts and fans, Google Cloud Hands-on Labs prove to be a valuable resource. By using GCP labs, you may improve your practical abilities, gain a thorough understanding of GCP (Google Cloud Platform), and ace the GCP Certification exam.
All things considered, Google Cloud Hands-on Labs is a great tool for anyone wishing to improve their Google Cloud knowledge, whether they are professionals seeking to increase their proficiency with GCP services and products or novices investigating cloud computing.
This post explains how to begin using Google Cloud laboratories, the advantages of participating in hands-on labs, and a tour of our Google Cloud labs.
Google Cloud Hands-on Labs: An Overview
Generally speaking, Google Cloud Hands-on Labs provide an engaging, hands-on approach for users to investigate and experience a range of GCP services and solutions. Users can become acquainted with the GCP environment and its services through these self-paced Google Cloud labs, which cover a wide range of subjects from fundamental ideas to complex use cases.
Our Google Cloud hands-on labs include a wide range of GCP-related subjects, such as but not restricted to:
- Computing
- Storage
- Databases
- Machine learning
- Networking
What advantages come with enrolling in Google Hands-on Labs?
- Gain GCP Knowledge: A wealth of options for hands-on learning are available through Google Cloud Hands-on Labs. methodical attitude to activities and situations in the actual world. customized laboratories to meet learning goals and skill levels.
- Dive into the Depths of GCP Expertise: Cover a wide range of GCP subjects. Learn the fundamental ideas of cloud computing. Data analytics, serverless application development, and virtual machine deployment are covered in the labs.
- Explore the Realms of GCP Infrastructure: Explore the complexities of GCP’s infrastructure. practical knowledge of Kubernetes Engine, Cloud Storage, and Compute Engine. Develop your abilities to create resilient and scalable cloud infrastructure solutions.
- Harness the Power of GCP Data Analytics: With labs devoted to BigQuery, Dataflow, and Dataproc, unleash the power of data. practical knowledge of data translation, analysis, and intake. Draw insightful conclusions from your data.
- Master the Art of GCP Serverless Computing: Use the Cloud Functions and Cloud Run labs to learn about serverless computing. Develop and deploy scalable and cost-effective serverless applications. not being concerned about managing the infrastructure.
- Embark on a Journey of Certification Readiness: Get the confidence and real-world knowledge you need to ace Google Cloud certifications. Labs support a targeted preparation approach by matching exam objectives.
- Embrace the Benefits of Self-Paced Learning: The ability to modify the learning experience to fit your preferences and timetable. Complete labs at your own speed, reviewing ideas as necessary.
- Harness the Power of Immediate Feedback: Get prompt feedback on your lab work. Determine your areas of weakness and reinforce your knowledge. An interactive method for successful learning.
- Enjoy a Cost-Effective Learning Experience: Economical substitute for conventional training techniques. No need to spend money on pricey cloud software or equipment. The virtual setting allowed for practical experience.
- Empowering your cloud computing journey: Improve your chances of landing a job, learn new skills for new opportunities, or investigate cloud computing. Google Cloud Hands-on Labs’ Whizlabs is a priceless tool. Self-paced learning, thorough coverage, and instant feedback tools enable you to succeed in the field of cloud computing.
Exercise 1: Setting Up Your GCP Environment
Set up your Google Cloud environment before doing any particular exercises. You can sign up for the free tier, which gives new users $300 in credits, if you don’t already have a GCP account.
When your account is prepared, take these actions:
- Enable Billing: While the free tier offers credits, some features require billing to be activated.
- Create a Project: Create a new project in the Google Cloud Console to complete all of your exercises.
- Enable Required APIs: Before using certain services, APIs must be enabled. Enable APIs such as BigQuery, Cloud Storage, and Pub/Sub by navigating to the API & Services section.
Now that your environment is prepared, let’s go to dealing with GCP data.
Exercise 2: Ingesting Data into Google Cloud
Any data pipeline begins with data ingestion. Depending on the data’s quantity, frequency, and format, Google Cloud provides a variety of import and management options.
Using Cloud Storage for Batch Ingestion
You can store unstructured data, including CSV files, pictures, and videos, using Cloud Storage, an object storage service. Here are a few practical assignments:
- Open the GCP Console and navigate to Cloud Storage.
- Make a new bucket and give it a name that is unique worldwide.
- Provide a sample CSV file with sales information for customers.
- Examine the various storage classes (Coldline, Nearline, and Standard) and learn about their costs.
This task will assist you in understanding a crucial idea for the certification test: how data is stored and accessible in GCP.
Using Pub/Sub for Real-Time Streaming Data
Google Cloud offers Pub/Sub, a messaging service that enables event-driven data processing, for real-time data intake.
Here are a few practical assignments:
- To view incoming data, create a Pub/Sub topic in the GCP Console.
- Publish a test message, and subscribe to the topic.
You will gain practical experience with real-time event streaming, which is crucial for real-time analytics, user interactions, and processing data from IoT devices.
Working with data in GCP is the best method to be ready for the Google Cloud Associate Data Practitioner test.
You’ll be ready to ace the GCP Data Practitioner test by fusing practical experience with academic understanding!
Google Cloud Sandboxes are a great way to hone your abilities and keep ahead of the always changing cloud technology landscape, regardless of whether you’re new to the cloud or a seasoned professional.
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