How to Pass Google Cloud Certification Exams

Strategies and Tips for Earning Google Cloud Certifications
Rating: 4.6 out of 5 (382 ratings)
7,263 students
English
English [Auto]

Strategies and tips for preparing for and passing Google Cloud certification exams

Requirements

  • Familiarity with Google Cloud

Description

Google Cloud certification exams are challenging. Even if you deep knowledge of Google Cloud services, you could fail a certification exam if you are unfamiliar with the structure of the tests.  This course will help you understand how Google Cloud certification exams are structured, the rules for taking these exams, and the kinds of questions you can expect. Perhaps most importantly this course shows how to analyze questions and precisely identify what is being asked and how to reason about each possible answer so you can choose the best option.

The course begins with a review of Google Cloud certification topics followed by a detailed discussion about the structure of certification exams.  We then look at the limitations of certification exams and how someone can fail an exam even if they are knowledgeable about the topic.  A collection of study resources is also discussed.

The final three lectures of the course focus on the Associate Cloud Engineer, Professional Data Engineer, and Professional Architect exams. In each lecture, we analyze example questions and consider strategies for identifying key pieces of information and tips on eliminating incorrect options.

Who this course is for:

  • Cloud Engineers, Data Engineers, Cloud Architects

Instructor

Cloud Architect, Data Engineer and Author
Dan Sullivan
  • 4.4 Instructor Rating
  • 10,576 Reviews
  • 106,656 Students
  • 6 Courses

Dan Sullivan is a cloud architect, systems developer, and author of the Official Google Cloud Professional Architect Study Guide, the Official Google Cloud Professional Data Engineer Study Guide, and the Official Google Cloud Associate Engineer Study Guide.

He is an experienced trainer and his online training courses have been viewed over 1 million times. Dan has extensive experience in multiple fields, including cloud architecture,  data architecture and modeling, machine learning, data science, and streaming analytics.