GCPPPDE-E - Preparing for the Google Cloud Professional Data Engineer Examination
Duration: 1.0 day
This certification & training course will help you prepare for Google Cloud's Professional Data Engineer certification exam. This session uses lectures, quizzes, and discussions to help you become familiar with the structure and format of the exam. You'll take part in exam question reasoning and case comprehension, get tips from certified experts, and review topics from the Data Engineering curriculum. At the end of the course, you'll take an ungraded practice exam and then a graded practice exam that will simulate the exam-taking experience.
- Position the Professional Data Engineer Certification.
- Provide information, tips, and advice on taking the exam.
- 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.
The course includes presentations, demonstrations, and hands-on labs.
Module 1: Understanding the Professional Data Engineer Certification
- 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: Designing Data Processing Systems
- Designing data processing systems.
- Designing flexible data representations.
- Designing data pipelines.
- Designing data processing infrastructure.
Module 3: Building and Operationalizing Data Processing Systems
- Building and operationalizing data structures and databases.
- Building and operationalizing flexible data representations.
- Building and operationalizing pipelines.
- Building and operationalizing processing infrastructure.
Module 4: Operationalizing Machine Learning Models
- Analyzing data and enabling machine learning.
- Deploying an ML pipeline.
- Machine learning terminology review.
- Operationalizing Machine Learning Models: Exam Guide Review.
- Modeling business processes for analysis and optimization.
Module 5: Security, Policy, and Reliability
- Designing for security and compliance.
- Performing quality control.
- Ensuring reliability.
- Visualizing data and advocating policy.
- Ensuring Solution Quality: Exam Guide Review.
Module 6: Resources and Next Steps
- Preparation Resources.
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
To get the most out of this course, participants should: Be familiar with Google Cloud to the level of the Data Engineering on Google Cloud course (suggested, not required)
This course is not associated with any certification.
Lịch khai giảng
Các khóa đào tạo Google Cloud khác
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GCPML - Machine Learning on Google Cloud
MPGC - ML Pipelines on Google Cloud
MLOF - MLOps (Machine Learning Operations) Fundamentals
LMOGC - Logging, Monitoring and Observability in Google Cloud
DGSE - Developing a Google SRE Culture
GCPGSGKE - Getting Started with Google Kubernetes Engine
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GCPMLTFGC - Machine Learning with TensorFlow on Google Cloud
GCPANTH - Architecting Hybrid Cloud Infrastructure with Anthos
GCSEC - Security in Google Cloud Platform
GCPNET - Networking in Google Cloud Platform
GCPPCA-T - Google Cloud Certified Professional Cloud Architect
GCPDEVA - Developing Applications with Google Cloud Platform
GCPDNPS - Architecting with Google Cloud: Design and Process
GCPACE-T - Google Cloud Certified Associate Cloud Engineer
GCPPCA-E - Preparing for the Professional Cloud Architect Examination
GCPDE - Data Engineering on Google Cloud Platform
GCPDI - From Data to Insights with Google Cloud Platform
GCPAIN - Architecting with Google Cloud Platform: Infrastructure
GCPBD - Google Cloud Platform Big Data and Machine Learning Fundamentals
GCPGCE - Architecting with Google Compute Engine
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