Quick skill test · 25 questions · 25 minutes · Free

Google Professional Data Engineer Certification

Tests readiness for the Google Cloud Professional Data Engineer exam — designing data processing systems, ingesting and processing batch and streaming data, storing data in the right Google Cloud service, preparing and using data for analysis, and maintaining and automating data workloads — written to the Professional Data Engineer exam guide and Google Cloud documentation for BigQuery, Dataflow, Pub/Sub, Bigtable, Spanner, Dataproc, Dataplex and Cloud Composer for 2026. Pass to earn Google Professional Data Engineer Proficiency SOA-GPDE.

What is the Google Professional Data Engineer Certification?

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Updated for 2026 and 2027. Covers designing data processing systems, ingesting and processing data, storing the data, preparing and using data for analysis and maintaining and automating data workloads.

The Google Professional Data Engineer Certification is a free advanced-level, 25-minute skill test from Science of Apps. It tests readiness for the Google Cloud Professional Data Engineer exam — designing data processing systems, ingesting and processing batch and streaming data, storing data in the right Google Cloud service, preparing and using data for analysis, and maintaining and automating data workloads — written to the Professional Data Engineer exam guide and Google Cloud documentation for BigQuery, Dataflow, Pub/Sub, Bigtable, Spanner, Dataproc, Dataplex and Cloud Composer for 2026. Score 70% or more on its 25 questions to earn a verifiable Google Professional Data Engineer Proficiency certificate (SOA-GPDE). Every question is based on published standards and research — including BigQuery documentation (Google Cloud), Dataflow overview (Google Cloud), Dataplex Universal Catalog overview (Google Cloud) — and each answer is explained with its source.

Built for your job title

Data engineer, Analytics engineer, Cloud data architect, Big data or Spark developer and Data platform engineer — and anyone who wants quick, verifiable proof of Google Professional Data Engineer knowledge for a CV or LinkedIn in 2026 and 2027.

  • Data engineer
  • Analytics engineer
  • Cloud data architect
  • Big data or Spark developer
  • Data platform engineer

What the test covers

Five skill areas with 5 questions each, drawn from a bank of 10 per area, so a retake brings questions you haven't seen.

  1. Designing Data Processing Systems

    20%
    • Security and compliance
    • Reliability
    • Choosing services
  2. Ingesting and Processing Data

    20%
    • Pub/Sub
    • Dataflow and Apache Beam
    • Change data capture
  3. Storing the Data

    20%
    • Choosing a database
    • Bigtable design
    • Cloud Storage classes
  4. Preparing and Using Data for Analysis

    20%
    • BigQuery analytics
    • BigQuery ML
    • Sharing and visualisation
  5. Maintaining and Automating Data Workloads

    20%
    • Orchestration
    • Monitoring and cost
    • Reliability

Independent skills test. Science of Apps is not affiliated with, endorsed by or sponsored by Google Cloud. Exam, product and organisation names are trademarks of their owners. Passing earns a Science of Apps certificate, not a credential issued by Google Cloud.

Based on published standards

The questions are original scenarios, and each one names the public standard, official guide or research it draws on — shown under the question while you answer, and linked in your review. These are the sources behind this test:

Try a sample question

For a globally distributed relational database with strong consistency, choose

  1. Bigtable
  2. Cloud SQL
  3. Spanner
  4. Firestore
Show the answer

C. Spanner — Spanner. The real test has 25 questions like this.

How the test works

  1. 25 minutes, 25 questions

    One question per screen, with a progress bar and a countdown. Your progress is saved on this device if you need to pause.

  2. Graded on our server

    Answers reach the page only after you submit, so the certificate can only be earned by passing.

  3. Every answer explained

    Pass or not, you see every question with the right answer, why, and the source behind it. Pass mark 70%, distinction 90%.

  4. Your certificate

    Founder-signed, with a QR code and credential ID. Download PDF or PNG, add to LinkedIn, and it's emailed to you.

What you earn

Google Professional Data Engineer Proficiency certificate preview: an ivory certificate with a gold medal marked SOA-GPDE
LinkedIn-ready certificate

Pass, then add it to LinkedIn in one click

No typing. The Add to LinkedIn button opens your profile’s Licenses & certifications form already filled in: the certificate name, Science of Apps as the issuer, the issue date, your credential ID and a link recruiters can use to verify it.

  1. 1Take the 25-minute test
  2. 2Score 70% or more
  3. 3Click Add to LinkedIn
Free · no sign-up · also emailed to you as a PDF
How it shows on your LinkedIn profile

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Frequently asked questions

What is the Google Professional Data Engineer Certification?

The Google Professional Data Engineer Certification is a free advanced-level, 25-minute skill test from Science of Apps. It tests readiness for the Google Cloud Professional Data Engineer exam — designing data processing systems, ingesting and processing batch and streaming data, storing data in the right Google Cloud service, preparing and using data for analysis, and maintaining and automating data workloads — written to the Professional Data Engineer exam guide and Google Cloud documentation for BigQuery, Dataflow, Pub/Sub, Bigtable, Spanner, Dataproc, Dataplex and Cloud Composer for 2026. Score 70% or more on its 25 questions to earn a verifiable Google Professional Data Engineer Proficiency certificate (SOA-GPDE). Every question is based on published standards and research — including BigQuery documentation (Google Cloud), Dataflow overview (Google Cloud), Dataplex Universal Catalog overview (Google Cloud) — and each answer is explained with its source.

Where can I take a free Google Professional Data Engineer test online?

Science of Apps offers a free Google Professional Data Engineer Certification, updated for 2026 and 2027. It measures designing data processing systems, ingesting and processing data, storing the data, preparing and using data for analysis and maintaining and automating data workloads and gives instant results with a shareable certificate.

How do I take the Google Professional Data Engineer Certification for free?

Read the five skill areas on this page, then take the 25-minute test online — no fee, course or sign-up. You see every answer explained when you finish. Score 70% or more and you get a Google Professional Data Engineer Proficiency certificate straight away, on screen, as a PDF and by email, with a credential ID anyone can verify.

Are the Google Professional Data Engineer Certification questions based on real standards?

Yes. The questions are original scenarios written by Science of Apps, and each one is based on a public source you can read: BigQuery documentation (Google Cloud); Dataflow overview (Google Cloud); Dataplex Universal Catalog overview (Google Cloud); Pub/Sub overview (Google Cloud); Cloud Storage storage classes (Google Cloud); Google Cloud documentation (Google Cloud). The source is shown under each question and linked in the answer review. Science of Apps doesn't copy questions from other tests.

What does the Google Professional Data Engineer Certification cover?

Five skill areas with five questions each, drawn from a bank of 10 per area so a retake brings new questions: Designing Data Processing Systems (Security and compliance, Reliability and Choosing services); Ingesting and Processing Data (Pub/Sub, Dataflow and Apache Beam and Change data capture); Storing the Data (Choosing a database, Bigtable design and Cloud Storage classes); Preparing and Using Data for Analysis (BigQuery analytics, BigQuery ML and Sharing and visualisation); Maintaining and Automating Data Workloads (Orchestration, Monitoring and cost and Reliability). Every question is an original scenario written to the 2026–2027 standard, with the published source named under it.

Who should take the Google Professional Data Engineer Certification?

Data engineer, Analytics engineer, Cloud data architect, Big data or Spark developer and Data platform engineer. It suits anyone who wants a quick, verifiable way to show Google Professional Data Engineer knowledge in 2026 and 2027, from students and career switchers to experienced professionals.

What is on the Google Professional Data Engineer exam?

The exam lasts two hours with 50–60 multiple-choice and multiple-select questions. Its five sections are designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads. The certification is valid for two years.

Which Google Cloud services matter most for the Data Engineer exam?

BigQuery, Dataflow (Apache Beam), Pub/Sub, Cloud Storage, Bigtable, Spanner, Cloud SQL, Dataproc, Datastream, Dataplex and Cloud Composer appear most, along with IAM, encryption and VPC Service Controls for securing data.

Can I take the Google Professional Data Engineer Certification from any country?

Yes. The test is online, in English and free everywhere — people take it from India, the US, the UK, Europe, Africa, Latin America and Asia-Pacific. Your certificate is dated with your own local date and can be verified from anywhere at scienceofapps.com/certification/verify/.

How long is the Google Professional Data Engineer Certification?

25 questions — 5 from each of 5 skill areas — with a 25-minute limit. You need 70% (18 of 25) to pass and 90% for distinction.

How hard is the Google Professional Data Engineer Certification?

We rate it Advanced: assumes years in the role or deep specialist knowledge. It has 25 scenario questions — 5 from each of 5 skill areas — and a 25-minute limit. You need 70% (18 of 25) to pass and 90% for distinction.

How much do Science of Apps certifications cost?

Nothing. There is no fee to take a test, to receive the certificate, to have it emailed or to verify it, and no sign-up.

How are the tests graded?

On our server, not in your browser. The answers never reach the page until you submit, so a certificate can only be earned by passing. Each certificate gets a unique credential ID stored by Science of Apps.

What happens if I don't pass?

You see your score for each area and every question with the correct answer and why, with the published source behind it. You can retake after 30 minutes, and the retake draws questions you haven't seen yet.

Do the certificates expire?

No. Every certificate is dated, so it always shows when you passed. Retake a test any time for a newer date or a higher score.

Can I add the certificate to LinkedIn?

Yes. After you pass, Add to LinkedIn opens the Licenses & certifications form with the certificate name, Science of Apps as the issuer, the issue date, your credential ID and the verification link filled in. You can also download it as a PDF or PNG, and it's emailed to you as a PDF.

How can an employer verify my certificate?

Every certificate has a credential ID and a QR code. Scanning it, or entering the ID at scienceofapps.com/certification/verify/, shows the holder's name, the certification, the score and the issue date from our records.

Are these accredited qualifications?

No. They are Science of Apps' own assessments of applied skill. They aren't issued by a university or standards body, and they work best alongside a portfolio that shows the skills in real work.

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