GitLab Certified CI/CD Associate - Practice Exams
Description
GitLab Certified CI/CD Associate
Prepare with confidence for the GitLab Certified CI/CD Associate certification through this expertly developed course featuring six full-length mock exams. Designed for DevOps engineers, software developers, automation specialists, and IT professionals, this course offers a structured and rigorous approach to mastering GitLab's CI/CD capabilities and passing the certification exam.
Each mock exam is aligned with the GitLab Certified CI/CD Associate exam objectives and is intended to replicate the actual exam environment. The questions span a comprehensive range of topics including CI/CD pipeline configuration, GitLab Runner setup, job and stage orchestration, pipeline security and compliance, artifact handling, and integration with external tools. These assessments help reinforce your understanding of core GitLab functionalities and prepare you to solve practical, real-world DevOps problems using GitLab’s CI/CD tooling.
Every question is accompanied by a detailed explanation of the correct answer, offering not only the rationale behind it but also highlighting relevant GitLab features, use cases, and best practices. These insights allow you to deepen your technical proficiency and develop a practical, exam-ready understanding of the platform.
Whether you are actively pursuing certification or seeking to refine your CI/CD expertise using GitLab, this course provides a professional and reliable framework for success. Build confidence, enhance your skill set, and get one step closer to earning your GitLab Certified CI/CD Associate credential.
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 70% 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:
- DevOps Engineers and Practitioners
- Software Developers and Engineers
- DevOps Engineers
- IT Project Managers
- Site Reliability Engineers (SREs)
- Build and Release Engineers
- QA Engineers and Test Automation Specialists
- System Administrators and IT Operations Staff
- Technical Project Managers and Team Leads
Instructor
- 4.4 Instructor Rating
- 11,836 Reviews
- 437,722 Students
- 162 Courses
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
Python Developer/AI Enthusiast/Data Scientist/Stockbroker
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