The Google Professional Data Engineer Exam is designed to validate the skills and knowledge required to perform the role of a data engineer. It focuses on the ability to design data processing systems, build and operationalize data solutions, ensure solution quality, and secure data processing systems.

The Google Professional Data Engineer Exam is a certification exam that assesses an individual's ability to design, build, operationalize, secure, and monitor data processing systems. It evaluates the candidate's proficiency in using Google Cloud Platform products and services to create data-driven solutions.

The number of questions asked in the Google Professional Data Engineer Exam typically ranges from 50 to 60.

The passing score for the Google Professional Data Engineer Exam is not publicly disclosed by Google. However, it is generally understood that candidates need to achieve a score of around 70% or higher to pass.

The competency level required for the Google Professional Data Engineer Exam is advanced. Candidates are expected to have hands-on experience and in-depth knowledge of data engineering concepts and Google Cloud Platform services.

The question format of the Google Professional Data Engineer Exam includes multiple-choice and multiple-select questions. The exam may also include case studies and scenario-based questions.

You can take the Google Professional Data Engineer Exam online or at a designated testing center. The exam is administered by Google's testing partners, such as Kryterion and Pearson VUE.

The Google Professional Data Engineer Exam is offered in English, Japanese, Spanish, and Portuguese.

The cost of the Google Professional Data Engineer Exam is $200 USD, excluding any applicable taxes.

The target audience for the Google Professional Data Engineer Exam includes data engineers, data analysts, data architects, and professionals who work with data processing systems and solutions on Google Cloud Platform.

The average salary of a Google Professional Data Engineer certified professional in the market varies by location and experience, but it generally ranges from $100,000 to $150,000 per year.

The testing providers for the Google Professional Data Engineer Exam are Kryterion and Pearson VUE.

The recommended experience for the Google Professional Data Engineer Exam includes 3 or more years of industry experience, including 1 or more years designing and managing solutions using Google Cloud Platform.

There are no formal prerequisites for the Google Professional Data Engineer Exam, but it is recommended that candidates have hands-on experience with Google Cloud Platform and a strong understanding of data engineering concepts.

As of now, there is no announced retirement date for the Google Professional Data Engineer Exam. Google typically provides advance notice before retiring any certification exams.

The roadmap for the Google Professional Data Engineer Exam includes gaining hands-on experience with Google Cloud Platform, studying the exam guide and recommended resources, and taking practice exams to assess readiness.

The topics covered in the Google Professional Data Engineer Exam include designing data processing systems, building and operationalizing data processing systems, operationalizing machine learning models, ensuring solution quality, and securing data processing systems.

Sample questions for the Google Professional Data Engineer Exam can be found on the official Google Cloud certification website. These sample questions help candidates understand the format and types of questions that may appear on the exam.

The difficulty level of the Google Professional Data Engineer Exam is considered to be advanced. It requires a deep understanding of data engineering principles and hands-on experience with Google Cloud Platform services.