Requirements

• Understanding of Data Engineering Concepts
• Experience with Google Cloud Services
• Programming and Scripting Skills
• Familiarity with Cloud Architecture
• Problem-Solving Abilities

Description

Update: 60 completely new questions have been added to enhance your learning experience!

Prepare for the prestigious Google Cloud Professional Data Engineer certification with this comprehensive mock exam course. Designed to emulate the real exam experience, this course includes six meticulously crafted mock exams, featuring a wide variety of questions that cover all key topics tested in the certification. Each question is paired with detailed explanations to ensure you not only understand the correct answer but also grasp the underlying concepts.

The mock exams are structured to test your expertise across crucial areas such as designing and building data processing systems, ensuring solution quality, operationalizing machine learning models, and managing and securing data. Whether you're tackling batch or streaming data pipelines, designing resilient data architectures, or leveraging BigQuery and Dataflow, this course provides in-depth exposure to the scenarios and skills you'll encounter on the actual exam.

With realistic, scenario-based questions, the course emphasizes real-world application, helping you think critically and apply best practices in data engineering. The thorough explanations for each answer clarify complex concepts, offering valuable insights and tips to enhance your preparation.

Ideal for aspiring data engineers, this course equips you with the confidence and knowledge to excel in the Google Cloud Professional Data Engineer exam and advance your career in cloud data engineering. Start today and secure your path to certification success!

About the Google Cloud Professional Data Engineer exam:

• Length: 2 hours

• Registration fee: $200 (plus tax where applicable)

• Languages: English, Japanese

• Format: 50-60 multiple choice and multiple select questions

• Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.

• Exam Delivery Method: the online-proctored exam from a remote location or the onsite-proctored exam at a testing center

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 72% 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:

• Data Engineers: Professionals responsible for designing
• building
• and operationalizing scalable
• secure
• and efficient data pipelines and processing systems.
• Cloud Architects: Individuals who design cloud-based architectures and need to integrate advanced data engineering solutions into their projects.
• Machine Learning Engineers: Those involved in operationalizing machine learning models and integrating them into production pipelines on GCP.
• Data Analysts and Scientists: Professionals looking to expand their expertise into data engineering to better manage and process data at scale on the cloud.
• Software Engineers and Developers: Individuals transitioning into cloud-based data engineering roles who need to build expertise in GCP tools and data processing.
• IT Professionals: Those responsible for managing data infrastructures
• ensuring data security
• and optimizing the performance of data solutions.
• Students and Beginners in Cloud Computing: Individuals aiming to start a career in data engineering and seeking to validate their skills with an industry-recognized certification.