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Jan 1

Preparing for the Professional Data Engineer Examination

January 1 @ 8:00 AM - 5:00 PM AEST

Google Cloud logo

Preparing for the Google Cloud Professional Data Engineer Exam

This instructor led live training 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.

What you Will learn

What's Included?

Instructor Live Training

An instructor will answer your questions

OFFICIAL GOOGLE CLOUD CONTENT

Course content reflects the latest google cloud class

hands on labs

Real world hands on labs provided by Qwiklabs and supported by instructor

CertIficate of completion

Receive official certificate on completion of 80% of labs

Who's this course for?

Level

Language

Duration

Prerequisites

products

Course Content

Topics

  • 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

Objectives

  • Understand the Professional Data Engineer Certification Exam

Topics

  • Designing data processing systems
  • Designing flexible data representations
  • Designing data pipelines
  • Designing data processing infrastructure

Objectives

  • Understand the Designing Data Processing Systems component of the Exam

Activities

  • Practice Exam Questions

Topics

  • Building and maintaining data structures and databases
  • Building and maintaining flexible data representations
  • Building and maintaining pipelines
  • Building and maintaining processing infrastructure

Objectives

  • Understand the Building and Operationalizing Data Processing Systems
    component of the Exam

Activities

  • Practice Exam Questions
  • Case Study 01
  • Lab 01: PDE Prep—BigQuery Essentials: Challenge Lab

Topics

  • 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

Objectives

  • Understand the Operationalizing Machine Learning Models component of the Exam

Activities

  • Practice Exam Questions
  • Case Study 02
  • Case Study 03
  • Lab 02: PDE Prep—Cloud Dataproc cluster operations and maintenance: Challenge Lab

Topics

  • Designing for security and compliance
  • Performing quality control
  • Ensuring reliability
  • Visualizing data and advocating policy
  • Ensuring Solution Quality: Exam Guide Review

Objectives

  • Understand the Security, Policy, and Reliability component of the Exam

Activities

  • Practice Exam Questions

Topics

  • Debrief
  • Preparation Resources

Objectives

  • Final Review of the Exam

Activities

  • Practice Exam Questions

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Have Questions?

No worries. Send us a quick message and we’ll be happy to answer any questions you have.

Ref: T-GCPPDE-A-01

Location

Online

Instructor

Axalon Academy
Email:
training@axalon.io
View Instructor Website

Other

Competencies
Advanced
Learning Path
Data Engineer