Professional Data Engineer
Professional Data Engineers enable data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.
The Professional Data Engineer exam assesses your ability to:
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Design data processing systems
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Operationalize machine learning models
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Ensure solution quality
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Build and operationalize data processing systems
About this certification exam
Length: 2 hours
Registration fee: $200 (plus tax where applicable)
Languages: English, Japanese.
Exam format: Multiple choice and multiple select taken remotely or in person at a test center. Locate a test center near you.
Exam Delivery Method:
a. Take the online-proctored exam from a remote location
b. Take the onsite-proctored exam at a testing center
Prerequisites: None
Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Certification Renewal / Recertification: Candidates must recertify in order to maintain their certification status. Unless explicitly stated in the detailed exam descriptions, all Google Cloud certifications are valid for two years from the date of certification. Recertification is accomplished by retaking the exam during the recertification eligibility time period and achieving a passing score. You may attempt recertification starting 60 days prior to your certification expiration date.
Exam overview
1. Review the exam guide
The
exam guide
contains a complete list of topics that may be included
on the exam, helping you determine if your skills align
with the topics on the exam.
2. Training
3. Sample questions
Review sample questions
to familiarize yourself with the format of exam
questions and example content that may be covered on the
Data Engineer exam.
4. Schedule an exam
Register and select
whether to take the exam remotely or at a nearby testing
center. Review exam
terms and conditions
and
data sharing policies.