Professional Data Engineer

Build and operate the data processing systems behind analytics and ML on Google Cloud, including BigQuery, Dataflow, and Pub/Sub, and track your readiness for the Professional Data Engineer exam.

Advanced

Prepare and test your skills

Advanced

Prepare and test your skills

Concept

training-serving skew

Topic in 1 exam domain

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Inconsistencies introduced between serving features and the features expected by an ML model, or differences caused by data shift and drift.

Where this appears on the exam

1 subdomain in 1 of 5 domains

Domain 4
Preparing and using data for analysis
~15% of exam
1. 4.2Preparing data for AI and ML
  - Preparing data for feature engineering, training and serving machine learning models (e.g., BigQueryML)

How learners score on this topic

Last updated October 23, 2026

Professional Data Engineer

Build and operate the data processing systems behind analytics and ML on Google Cloud, including BigQuery, Dataflow, and Pub/Sub, and track your readiness for the Professional Data Engineer exam.

Advanced

Prepare and test your skills

Advanced

Prepare and test your skills

Concept

training-serving skew

Topic in 1 exam domain

X LinkedIn Facebook Reddit

Inconsistencies introduced between serving features and the features expected by an ML model, or differences caused by data shift and drift.

Where this appears on the exam

1 subdomain in 1 of 5 domains

Domain 4
Preparing and using data for analysis
~15% of exam
1. 4.2Preparing data for AI and ML
  - Preparing data for feature engineering, training and serving machine learning models (e.g., BigQueryML)

How learners score on this topic

Last updated October 23, 2026