Overview
check if you are ready to pass Google Cloud Associate Data Practitioner exam, perform 6 practice tests, answer 300 questions, review all submitted responses and check explanations
Aspiring Data Practitioners who want to build a solid understanding of data services, data management, and processing on Google Cloud., IT and Cloud Professionals aiming to expand their skills into data handling and processing within the Google Cloud ecosystem., Data Analysts and Data Engineers looking to formalize their skills with a Google Cloud certification that supports their career advancement., Business Intelligence Professionals who want to integrate Google Cloud’s data tools into their workflows and improve data-driven decision-making., Software Developers and System Administrators transitioning into cloud data roles who need a structured, foundational understanding of Google Cloud’s data services., Students and Recent Graduates interested in gaining a Google Cloud certification to validate their knowledge of core data concepts and prepare for roles in data science or cloud engineering.
Understanding of Data Concepts (data storage, data processing, data security, data visualization), Knowledge of Cloud Computing, Knowledge of Data Analytics Concepts, Experience with Google Cloud Platform (GCP), Familiarity with Security and Compliance Basics, Analytical Mindset
This course is meticulously designed to help you prepare for the Google Cloud Associate Data Practitioner certification with confidence and includes six full-length mock exams, each crafted to mirror the format, difficulty, and scope of the actual certification exam. With questions covering essential data-related concepts and Google Cloud tools, these practice exams offer a comprehensive review of key areas such as data storage, data processing, data analysis, and data security within the Google Cloud ecosystem.
Each exam in this course consists of multiple-choice and scenario-based questions that challenge your understanding of Google Cloud's data services, including BigQuery, Cloud SQL, Cloud Storage, and Dataflow. You will encounter real-world scenarios that simulate data management and processing tasks, helping you become adept at applying theoretical knowledge to practical situations. Furthermore, each question is accompanied by detailed explanations for both correct and incorrect answers. These explanations not only reinforce core concepts but also clarify common misconceptions, helping you build a solid foundation in data principles and Google Cloud best practices.
This course is ideal for aspiring data practitioners, cloud enthusiasts, and IT professionals looking to validate their data expertise on Google Cloud. By working through these mock exams, you will sharpen your problem-solving skills, deepen your knowledge of Google Cloud’s data services, and gain the confidence needed to excel in the Google Cloud Associate Data Practitioner exam. Whether you are new to Google Cloud or seeking to reinforce your skills, this course is your comprehensive companion to certification success.
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!
Paweł Krakowiak
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.
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