
Google Professional Cloud Database Engineer - GCP - Exams
Description
The Google Professional Cloud Database Engineer certification is a professional-level certification offered by Google Cloud that validates an individual's expertise in designing, building, and managing Google Cloud database solutions. This certification demonstrates a candidate's ability to leverage Google Cloud technologies to design, implement, and maintain high-performance, scalable, and reliable databases for various applications.
To earn this certification, candidates must have a solid understanding of Google Cloud database services, including Cloud SQL, Cloud Spanner, Firestore, and Bigtable, as well as key concepts such as database design, data modeling, replication, backups, performance tuning, and security.
After successfully passing the exam, the certification is valid for two years, and certified individuals must recertify to maintain their credential. The Google Professional Cloud Database Engineer certification is widely recognized in the industry and can help professionals advance their careers in the cloud and database management domains.
The Professional Cloud Database Engineer exam assesses your ability to:
Design scalable and highly available cloud database solutions
Manage a solution that can span multiple database solutions
Migrate data solutions
Deploy scalable and highly available databases in Google Cloud
About the Google Professional Cloud Database Engineer exam:
Length: 2 hours
Registration fee: $200 (plus tax where applicable)
Languages: English
Format: 50-60 multiple choice and multiple select questions taken remotely or in person at a test center.
Recommended experience: 5+ years of overall database and IT experience, including 2 years of hands-on experience working with Google Cloud database solutions.
Is it possible to take the practice test more than once?
Certainly, you are allowed to attempt each practice test multiple times. Upon completion of the practice test, your final outcome will be displayed. With every attempt, the sequence of questions and answers will be randomized.
Is there a time restriction for the practice tests?
Indeed, each test comes with a time constraint of 120 seconds for each question.
What score is required?
The target achievement threshold for each practice test is to achieve at least 70% correct answers.
Do the questions have explanations?
Yes, all questions have explanations for each answer.
Am I granted access to my responses?
Absolutely, you have the opportunity to review all the answers you submitted and ascertain which ones were correct and which ones were not.
Are the questions updated regularly?
Indeed, the questions are routinely updated to ensure the best learning experience.
Additional Note: It is strongly recommended that you take these exams multiple times until you consistently score 90% or higher on each test. Take the challenge without hesitation and start your journey today. Good luck!
Who this course is for:
- everyone who wants to take the Google Professional Cloud Database Engineer exam
- everyone who wants to become a Google Professional Cloud Database Engineer
- everyone who wants to prepare for an interview with Google Cloud
- everyone who wants to work with Google Cloud
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
IG: e_smartdata