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This full-day instructor-led course helps prospective candidates structure their preparation for the Professional Data Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, quizzes, and discussions, candidates will familiarize themselves with the domain covered by the examination, so as to help them devise a preparation strategy. Rehearses useful skills including exam question reasoning and case comprehension. Tips. Review of topics from the Data Engineering curriculum.

To get the most out of this course, participants should:

Familiarity with Google Cloud Platform to the level of the Data Engineering on Google Cloud Platform course (suggested, not required)

Audience

This course is intended for the following participants:

Cloud professionals interested in taking the Data Engineer certification exam.
Data engineering professionals interested in taking the Data Engineer certification exam.

Position the Professional Data Engineer Certification
Provide information, tips, and advice on taking the exam
Review the sample case studies
Review each section of the exam covering highest-level concepts sufficient to build confidence in what is known by the candidate and indicate skill gaps/areas of study if not known by the candidate
Connect candidates to appropriate target learning

Module 1: Understanding the Professional Data Engineer Certification

Establish basic knowledge about the certification exam and eliminate any confusion or misunderstandings about the process and nature of the exam itself.

Topics covered:

Position the Professional Data Engineer certification among the offerings
Distinguish between Associate and Professional
Provide guidance between Professional Data Engineer and Associate Cloud Engineer
Describe how the exam is administered and the exam rules
Provide general advice about taking the exam

Module 2: Sample Case Studies for the Professional Data Engineer Exam

In-depth review of the Case Studies provided for exam preparation

Topics covered:

Flowlogistic
MJTelco

Module 3: Designing and Building (Review and preparation tips)

Tips and examples covering data processing systems design skills, data structures, and database skills that could be tested on the exam.

Topics covered:

Designing data processing systems
Designing flexible data representations
Designing data pipelines
Designing data processing infrastructure
Build and maintain data structures and databases
Building and maintaining flexible data representations
Building and maintaining pipelines
Building and maintaining processing infrastructure

Module 4: Analyzing and Modeling (Review and preparation tips)

Tips and examples covering data analysis, analysis and optimization of business processes, and machine learning skills that could be tested on the exam.

Topics covered:

Analyze data and enable machine learning
Analyzing data
Machine learning
Machine learning model deployment
Model business processes for analysis and optimization
Mapping business requirements to data representations
Optimizing data representations, data infrastructure performance and cost

Module 5: Reliability, Policy, and Security (Review and preparation tips)

Tips and examples covering reliability, policies, security, and compliance skills that could be tested on the exam.

Topics covered:

Design for reliability
Performing quality control
Assessing, troubleshooting, and improving data representation and data processing infrastructure
Recovering data
Visualize data and advocate policy
Building (or selecting) data visualization and reporting tools
Advocating policies and publishing data and reports
Design for security and compliance
Designing secure data infrastructure and processes
Designing for legal compliance

Module 6: Resources and next steps

Resources for learning more about identified subjects that could be tested on the exam.

Topics covered:

Resources for learning more about designing data processing systems, data structures, and databases
Resources for learning more about data analysis, machine learning, business process analysis, and optimization
Resources for learning more about data visualiztion and policy Resources for learning more about reliability design
Resources for learning more about business process analysis and optimization
Resources for learning more about reliability, policies, security, and compliance

Preparing for the Professional Data Engineer Examination Training Course in Finland

Finland is a country located in northern Europe. Helsinki is the capital and largest city of the country. The majority of the people are Finns but there is also a small Lapp population in Lapland, where the country is famous for the Northern Lights. Finland's national languages are Finnish and Swedish.

Known for its vast forests, lakes, and natural beauty, Finland is one of the world's largest producers of forest products, such as paper, pulp, and lumber. One of the world's largest sea fortresses Suomenlinna, Rovaniemi with the "White Nights", dogsled safaris and of course the Northern Lights are what makes Finland so popular for tourists. Finland is one of the best places in the world to see the Northern Lights and attracts millions of tourists during its seasons.

Finland is home to a thriving technology industry and is widely recognized as one of the world's leading technology hubs. Companies such as Nokia and Rovio (creator of the popular game Angry Birds) are based in Finland. Some of the key factors that have contributed to Finland's success in technology include; strong investment in research and development, a highly educated workforce and fundings.

Finland has a strong educational system, and is widely regarded as one of the world's most literate countries. In fact, Finland's literacy rate is one of the highest in the world, and its students consistently perform well in international tests of math and reading ability.

Also, as a pioneer in environmental sustainability, Finland is known for its efforts to reduce its carbon footprint and promote clean energy. This Nordic country is also famous for its unique and distinctive cultural heritage, including its traditional folk music and its elaborate traditional costumes.

Helsinki, Finland's capital city, is the country's business center. Helsinki is Finland's largest city, and it is home to many of the country's major corporations and organizations, including many of the country's leading technology firms. The city is also a commercial, trade, and financial center, as well as one of the busiest ports in the Nordic region.

Take advantage of our diverse IT course offerings, spanning programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our knowledgeable instructors will provide you with practical training and industry insights, delivered directly to your chosen venue in Finland.

Preparing for the Professional Data Engineer Examination Training in Finland

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Preparing for the Professional Data Engineer Examination Training in Finland

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Outline

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