Google Professional Cloud Developer (PCD) - Mock Exams
Description
Google Professional Cloud Developer
Prepare with confidence for the Google Professional Cloud Developer certification using this comprehensive mock exam course. Designed for developers who build scalable and secure applications on Google Cloud, this course features six full-length mock exams that mirror the format, difficulty, and structure of the actual certification exam. Whether you're aiming to validate your cloud development skills or seeking to enhance your proficiency in Google Cloud technologies, this course provides an essential resource for effective exam preparation.
Each mock exam assesses your knowledge across all key domains outlined in the PCD certification blueprint, including designing cloud-native applications, managing application performance, leveraging Google Cloud services like Cloud Functions, App Engine, Cloud Run, and Cloud Storage, integrating APIs and messaging services, ensuring reliability and observability, and implementing CI/CD pipelines.
Every question is accompanied by a detailed explanation that not only identifies the correct answer but also provides valuable insights into why that answer is correct. These explanations help reinforce important concepts, clarify misunderstandings, and support deeper learning of real-world cloud development practices.
Whether you're a developer, DevOps engineer, or cloud practitioner preparing for certification, this course will sharpen your skills, build your confidence, and significantly improve your readiness to pass the Google Professional Cloud Developer exam on your first attempt.
Google Cloud Developer: Building Scalable Solutions in the Cloud
A Google Cloud Developer designs, develops, and deploys applications and services on Google Cloud Platform (GCP). Leveraging tools like App Engine, Cloud Functions, Cloud Run, and Firebase, they create scalable, secure, and resilient cloud-native solutions. With a strong understanding of cloud architecture, APIs, and CI/CD practices, they streamline development workflows and drive innovation in cloud environments.
Can I retake the practice tests?
Yes, you can attempt each practice test as many times as you like. After completing a test, you'll see your final score. Each time you retake the test, the questions and answer choices will be shuffled for a fresh experience.
Is there a time limit for the practice tests?
Yes, each test includes a time limit of 120 seconds per question.
What score do I need to pass?
You need to score at least 72% on each practice test to pass.
Are explanations provided for the questions?
Yes, every question comes with a detailed explanation.
Can I review my answers after the test?
Absolutely. You’ll be able to review all your submitted answers and see which ones were correct or incorrect.
Are the questions updated frequently?
Yes, the questions are regularly updated to provide the best and most relevant learning experience.
Additional Note: It’s highly recommended that you take the practice exams multiple times until you're consistently scoring 90% or higher. Don’t hesitate—start your preparation today. Good luck!
Who this course is for:
- Cloud Application Developers
- Software Engineers and Full-Stack Developers
- DevOps Engineers and Site Reliability Engineers (SREs)
- Cloud Architects and Solution Designers
- API Developers and Integration Specialists
- IT Professionals Transitioning to Cloud Development
- Technical Leads and Engineering Managers
- Individuals Preparing for Advanced Google Cloud Certifications
Instructor
EN
Python Developer/AI Enthusiast/Data Scientist/Stockbroker
Enthusiast of new technologies, particularly in the areas of artificial intelligence, the Python language, big data and cloud solutions. Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization. Master's degree graduate in Financial and Actuarial Mathematics at the Faculty of Mathematics and Computer Science at the University of Lodz. Former PhD student at the faculty of mathematics. Since 2015, a licensed Securities Broker with the right to provide investment advisory services (license number 3073). Lecturer at the GPW Foundation, conducting training for investors in the field of technical analysis, behavioral finance, and principles of managing a portfolio of financial instruments.
Founder at e-smartdata
PL
Data Scientist, Securities Broker
Jestem miłośnikiem nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python big data oraz rozwiązań chmurowych. Posiadam stopień absolwenta podyplomowych studiów na kierunku Informatyka, specjalizacja Big Data w Polsko-Japońskiej Akademii Technik Komputerowych oraz magistra z Matematyki Finansowej i Aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego. Od 2015 roku posiadam licencję Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073). Jestem również wykładowcą w Fundacji GPW prowadzącym szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych. Mam doświadczenie w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką. Moje główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.
Założyciel platformy e-smartdata