Preparing for the Professional Data Engineer Examination

Name: Preparing for the Professional Data Engineer Examination
Price: 595.00 GBP

Gain valuable information, tips, and advice to help you prepare for Google Cloud data engineer certification.

1 day course

Supporting material

Google Cloud Partner of the Year

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

As a Google Cloud Partner, we’re here to help you prepare for the Professional Data Engineer exam.

In this session, we'll cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications.

Together, we’ll rehearse useful skills including exam question reasoning and case comprehension, as well as review topics from the Data Engineering curriculum. Through in-classroom discussions and quizzes, you will familiarise yourself with the domain covered by the examination and plan out a study strategy.

Our Preparing for the Professional Data Engineer Examination course is available as a private training session that can be delivered via Virtual Classroom, at our training centre in The Shard, or at a location of your choice in the UK.

Course overview

Who should attend:

This course is for Cloud or data engineering professionals interested in taking the Data Engineer certification exam. We recommend that you’re familiar with Google Cloud and have taken the Data Engineering on Google Cloud course.

What you'll learn:

By the end of this course, you will be able to:

Make use of information, tips, and advice on taking the exam
Utilise sample case studies
Review each section of the exam covering highest-level concepts
Identify skill gaps / areas of study that you need to spend more time on
Access appropriate target learning

Course agenda

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 & Operationalising Data Processing Systems

Building and operationalising data structures and databases
Building and operationalising flexible data representations
Building and operationalising pipelines
Building and operationalising processing infrastructure

Module 4: Operationalising Machine Learning Models

Analyse data and enable machine learning
Analysing data
Machine learning
Machine learning model deployment
Model business processes for analysis and optimisation
Mapping business requirements to data representations
Optimising data representations, data infrastructure performance and cost

Module 5: Security, Policy & Reliability

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

Module 6: Resources & Next Steps

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 optimisation
Resources for learning more about data visualisation and policy
Resources for learning more about reliability design
Resources for learning more about business process analysis and optimisation
Resources for learning more about reliability, policies, security, and compliance
Sample exam questions

Book this course

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