Overview
check if you are ready to pass OCI Generative AI Professional exam, perform 6 practice tests, answer 300 questions, review all submitted responses and check explanations
Data Scientists and AI Researchers: Professionals in data science and AI fields who are interested in leveraging Oracle Cloud Infrastructure for AI model deployment and data management., Oracle Cloud Users: Users familiar with Oracle Cloud Infrastructure looking to deepen their understanding and validate their skills with a certification., IT Professionals: Individuals already working in IT, especially those with a focus on cloud services, AI technologies, or database management who wish to advance their skills in Oracle Cloud Infrastructure., Aspiring Cloud Specialists: Students or recent graduates aiming to specialize in cloud computing platforms, particularly Oracle's offerings., Career Switchers: Individuals looking to transition into roles that require proficiency in cloud-based AI solutions and infrastructure management.
Familiarity with core components and services of Oracle Cloud Infrastructure, Understanding of AI and machine learning concepts, Experience with AI Services on OCI, Data Handling and Processing, Understanding of Generative AI Models
This course is specifically tailored for professionals who aspire to validate their expertise in OCI's advanced AI capabilities and wish to ensure their readiness through comprehensive practice.
This course consists of six full-length practice exams, each meticulously crafted to mirror the format, difficulty, and subject matter of the actual certification exam. These exams cover a wide spectrum of topics, ensuring that you get a holistic understanding and are well-prepared for every challenge the certification may present.
Each question in these practice exams comes with detailed explanations, providing insights into why a particular answer is correct and clarifying common misconceptions. This not only helps in reinforcing your knowledge but also in identifying areas where further study might be needed. By understanding the reasoning behind each answer, you can build a stronger foundation in OCI Generative AI concepts and applications.
The practice exams are designed to be taken in a timed environment, simulating the actual test conditions to help you build confidence and improve time management skills. After completing each exam, you will receive a detailed performance report highlighting your strengths and areas for improvement, enabling you to focus your study efforts more effectively.
Whether you are a seasoned AI professional looking to validate your skills or a newcomer eager to break into the field of generative AI, this course offers the rigorous preparation you need to achieve your certification goals. Enroll today and take the next step towards becoming an OCI Generative AI Professional with confidence and competence!
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!
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.
Założyciel platformy e-smartdata
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