Google Cloud Professional Data Engineer - GCP - Exams - 2022
Description
Google Cloud Professional Data Engineer - GCP - Exams
Are you ready to take the Google Cloud Professional Data Engineer Exam? Test yourself by answering over 260 questions!
This course is in the form of practice tests and consists of over 260 questions that may appear during the Google Cloud Professional Data Engineer exam. Some questions are self-explanatory. Where necessary, explanations are added to the questions. This course allows you to confirm your proficiency and give you the confidence you need to earn a Google Cloud Professional Data Engineer certification.
About the Google Cloud Professional Data Engineer exam:
Length: 2 hours
Registration fee: $200 (plus tax where applicable)
Languages: English, Japanese
Format: Multiple choice and multiple select, taken remotely or in person at a test center.
Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
The scope of the exam:
Designing data processing systems
Building and operationalizing data processing systems
Operationalizing machine learning models
Ensuring solution quality
Can I take the practice test more than once?
You can take each practical test multiple times. After completing the practice test, your final result will be published. Each time you take the test, the order of questions and answers is randomized.
Do I have a time limit for practice tests?
Each test has a time limit - 120 seconds per question. This gives a total of 10 hours for questions in this course.
What result is required?
The required grade for each practice test is 70% correct answers.
Are the questions multiple choice?
In order to reflect the form of the interview as much as possible and to raise the level of difficulty, the questions are single and multiple choice.
Can I see my answers?
You can review all submitted responses and see which were correct and which were not.
Are the questions updated on a regular basis?
Yes.
Notes! I strongly encourage you to repeat these exams until you consistently achieve a score of 90% or higher on each exam. Do not hesitate and take the challenge today. Good luck!
Who this course is for:
- everyone who wants to take the Google Cloud Professional Data Engineer exam
- everyone who wants to become a Google Cloud Professional Data Engineer
- everyone who wants to prepare for an interview with Google Cloud
- everyone who wants to work with Google Cloud
Instructor
![Paweł Krakowiak](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.6 Instructor Rating
- 4,521 Reviews
- 198,585 Students
- 75 Courses
EN
Python Developer/Data Scientist/Stockbroker
Founder at e-smartdata[.]org.
Big fan of new technologies!
Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization.
Graduate of MA studies 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.
Stockbroker license holder (no 3073).
Lecturer at the GPW Foundation (technical analysis, behavioral finance and portfolio management).
PL
Data Scientist, Securities Broker
Założyciel platformy e-smartdata[.]org
Miłośnik nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python oraz rozwiązań chmurowych.
Absolwent podyplomowych studiów na Polsko-Japońskiej Akademii Technik Komputerowych na kierunku Informatyka, spec. Big Data.
Absolwent studiów magisterskich z matematyki finansowej i aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego.
Od 2015 roku posiadacz licencji Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073).
Wykładowca w Fundacji GPW prowadzący szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych.
Z doświadczeniem w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką.
Główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.
IG: e_smartdata