Google Professional Data Engineer Exam
Last Update September 15, 2024
Total Questions : 330
Our Google Cloud Certified Professional-Data-Engineer exam questions and answers cover all the topics of the latest Google Professional Data Engineer Exam exam, See the topics listed below. We also provide Google Professional-Data-Engineer exam dumps with accurate exam content to help you prepare for the exam quickly and easily. Additionally, we offer a range of Google Professional-Data-Engineer resources to help you understand the topics covered in the exam, such as Google Cloud Certified video tutorials, Professional-Data-Engineer study guides, and Professional-Data-Engineer practice exams. With these resources, you can develop a better understanding of the topics covered in the exam and be better prepared for success.
| Exam Name | Google Professional Data Engineer Exam |
| Exam Code | Professional-Data-Engineer |
| Actual Exam Duration | The duration of the Google Professional-Data-Engineer exam is 2 hours (120 minutes). |
| What exam is all about | The Google Professional-Data-Engineer exam is a certification exam that tests the knowledge and skills of individuals in designing, building, and maintaining data processing systems on the Google Cloud Platform. The exam covers topics such as data processing architecture, data modeling, data ingestion, data transformation, data analysis, and machine learning. The exam consists of multiple-choice and multiple-select questions and requires a passing score of 70% or higher to earn the certification. The certification demonstrates that an individual has the expertise to design and implement data processing systems on the Google Cloud Platform. |
| Passing Score required | The passing score required in the Google Professional-Data-Engineer exam is 70%. |
| Competency Level required | The Google Professional-Data-Engineer exam requires a high level of competency in data engineering, data analysis, and cloud computing. Candidates should have a deep understanding of Google Cloud Platform (GCP) services and be able to design, build, and maintain data processing systems. They should also be proficient in data modeling, data warehousing, and data visualization. Additionally, candidates should have experience with programming languages such as Python and SQL, as well as knowledge of machine learning and artificial intelligence. Overall, the Google Professional-Data-Engineer exam requires a high level of technical expertise and practical experience in data engineering and cloud computing. |
| Questions Format | The Google Professional-Data-Engineer exam consists of multiple-choice and multiple-select questions. The exam also includes scenario-based questions that require candidates to analyze and solve problems related to data engineering. Additionally, the exam may include questions that require candidates to match items or drag and drop options into the correct order. The exam may also include questions that require candidates to identify errors in code snippets or select the correct code snippet to solve a problem. |
| Delivery of Exam | The Google Professional-Data-Engineer exam is a computer-based exam that is delivered online through the Google Cloud Platform (GCP) certification portal. The exam consists of multiple-choice and multiple-select questions, and candidates have two hours to complete the exam. The exam is designed to test the candidate's knowledge and skills in designing, building, and managing data processing systems on the GCP platform. |
| Language offered | The Google Professional-Data-Engineer exam is offered in English, Japanese, Spanish, Portuguese, French, German, and Simplified Chinese. |
| Cost of exam | You can visit the official Google Cloud certification website to get the latest pricing information. |
| Target Audience | The target audience for the Google Professional-Data-Engineer certification includes: 1. Data Engineers: Professionals who are responsible for designing, building, and maintaining data processing systems. 2. Data Architects: Professionals who design and implement data solutions for organizations. 3. Data Analysts: Professionals who analyze and interpret data to provide insights and recommendations. 4. Cloud Architects: Professionals who design and implement cloud-based solutions for organizations. 5. IT Managers: Professionals who manage IT teams and oversee the implementation of data solutions. 6. Developers: Professionals who develop software applications and systems that process and analyze data. 7. Business Intelligence Professionals: Professionals who use data to provide insights and make informed business decisions. 8. Data Scientists: Professionals who use statistical and machine learning techniques to analyze and interpret data. 9. Database Administrators: Professionals who manage and maintain databases for organizations. 10. System Administrators: Professionals who manage and maintain IT systems for organizations. |
| Average Salary in Market | The average salary for a Google Professional-Data-Engineer certified professional is around $130,000 per year in the United States. However, the salary may vary depending on factors such as location, experience, and industry. |
| Testing Provider | You can visit the official Google Cloud website to register for the exam and access study materials. |
| Recommended Experience | According to Google, the recommended experience for this exam includes: 1. At least three years of experience in the field of data engineering. 2. Experience with designing and building data processing systems. 3. Knowledge of data warehousing, data modeling, and data analysis techniques. 4. Familiarity with cloud computing platforms, particularly Google Cloud Platform (GCP). 5. Experience with programming languages such as Python, Java, or SQL. 6. Understanding of machine learning and data analytics concepts. It is important to note that these are only recommendations, and candidates may still be able to pass the exam without meeting all of these requirements. However, having this level of experience and knowledge will certainly increase the chances of success on the exam. |
| Prerequisite | But according to the Google Cloud website, the prerequisites for the Google Professional-Data-Engineer exam are: 1. At least 3 years of industry experience, including 1 year of experience in designing and managing solutions using Google Cloud Platform. 2. Familiarity with data processing concepts and technologies, such as databases, data warehousing, data analysis, and data visualization. 3. Knowledge of programming languages such as Python, Java, or SQL. 4. Understanding of machine learning and data modeling concepts. 5. Familiarity with Google Cloud Platform services such as BigQuery, Cloud Storage, and Dataflow. 6. Experience with designing and implementing data processing systems using Google Cloud Platform services. 7. Knowledge of security and compliance requirements for data processing systems. |
| Retirement (If Applicable) | You can check the official Google Cloud certification website or contact their support team for more information. |
| Certification Track (RoadMap): | The certification track or roadmap for the Google Professional-Data-Engineer exam includes the following steps: 1. Understand the exam format and content: The Google Professional-Data-Engineer exam is a 2-hour long test that consists of multiple-choice and multiple-select questions. The exam tests your knowledge of designing, building, and maintaining data processing systems on the Google Cloud Platform. 2. Gain relevant experience: To be eligible for the exam, you need to have at least three years of experience in the field of data engineering. You should also have experience working with Google Cloud Platform tools and services. 3. Study the exam topics: The exam covers a wide range of topics, including data processing, data analysis, data visualization, machine learning, and security. You should study these topics in detail and ensure that you have a good understanding of each one. 4. Take online courses and training: Google offers a range of online courses and training programs that can help you prepare for the exam. These courses cover the exam topics in detail and provide hands-on experience with Google Cloud Platform tools and services. 5. Practice with sample questions: Google provides sample questions that you can use to practice for the exam. These questions are similar to the ones you will encounter in the actual exam and can help you get familiar with the exam format and content. 6. Take the exam: Once you feel confident in your knowledge and skills, you can take the Google Professional-Data-Engineer exam. If you pass the exam, you will receive a certification that demonstrates your expertise in data engineering on the Google Cloud Platform. |
| Official Information | https://cloud.google.com/certification/data-engineer |
| See Expected Questions | Google Professional-Data-Engineer Expected Questions in Actual Exam |
| Take Self-Assessment | Use Google Professional-Data-Engineer Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure |
Professional Data Engineers enable data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.
The Professional Data Engineer exam assesses your ability to:
TESTED 16 Sep 2024
