
GitHub Actions Certification - Practice Exams
Description
GitHub Actions Certification
This is an expertly designed course tailored for individuals eager to master GitHub Actions and gain a certification that underscores their proficiency. This comprehensive course features six meticulously structured practice exams, each crafted to mirror the format and challenge of the actual GitHub Actions certification exam.
Upon enrollment, learners will dive into a series of practice exams that not only assess their knowledge of GitHub Actions but also strengthen their understanding of its application in real-world scenarios. Each exam encompasses a wide range of topics, including workflow syntax, action creation, continuous integration, continuous deployment, and how to manage workflows across various projects. The questions are curated to challenge learners at multiple levels, ensuring a thorough preparation for anyone aiming to excel in the certification exam.
What sets this course apart are the detailed explanations provided for each answer. Whether you answer correctly or incorrectly, you'll receive comprehensive feedback on your choices. This feedback includes insights into why a specific answer is correct, practical applications of the concept, and tips on how to approach similar questions in the future. This feature is invaluable as it helps to identify knowledge gaps and misconceptions, allowing for targeted learning.
This course is ideal for developers, software engineers, and IT professionals who use GitHub as part of their development process and are looking to validate their skills with an official certification. With the flexibility of online access, learners can progress at their own pace, revisiting complex topics and refining their skills as needed. By the end of this course, participants will not only be well-prepared to take the GitHub Actions certification exam but will also have a deeper understanding of how GitHub Actions can be leveraged to automate and enhance workflows within their projects.
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
- Software Developers & Engineers
- Site Reliability Engineers (SREs)
- Build and Release Engineers
- System Administrators
- Cloud Engineers & Architects
- Open Source Contributors & Maintainers
- Quality Assurance (QA) Engineers
- IT Managers & Technical Leads
- Technology Consultants
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
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