Accueil Services Avis Facturation Fournisseurs Contact Blog Connexion
Google

Google Cloud Professional Data Engineer

The Google Cloud Professional Data Engineer (PDE) certification validates your skills in designing, building, deploying, monitoring, maintaining, and securing data processing workloads on Google Cloud.

Code examen

Google Clou

Durée

120 min

Questions

60

Prérequis officiels

  • Hands-on experience with Google Cloud data services such as BigQuery, Dataflow, Pub/Sub, and Dataproc
Google Cloud Professional Data Engineer

Professions ciblées

Data Engineer Big Data Engineer Cloud Data Architect Machine Learning Engineer
Articles connexes

Domaines clés

Le moteur de simulation d'ExamBoot est synchronisé avec le plan officiel de l'examen. Nos banques de questions adaptatives priorisent l'atteinte rapide de vos objectifs..

Design data processing architectures with security and compliance considerations, including IAM policies, encryption and key management, privacy (DLP API), regional data sovereignty, and legal/regulatory requirements.
Build and operationalize data ingestion pipelines using batch and streaming services (e.g., Pub/Sub, Dataflow, Dataproc), perform ETL/ELT transformations, and orchestrate workflows for reliable data processing.
Select and configure appropriate storage solutions (e.g., BigQuery, Cloud Storage, Cloud Spanner, Bigtable, Cloud SQL), design schemas and partitioning strategies, and optimize for performance, scalability, and cost.
Prepare datasets for analytics and ML by cleansing and transforming data (e.g., Dataprep, BigQuery SQL), create materialized views, integrate with BI tools, and implement data pipelines to support analysis and visualization.
Implement monitoring, logging, and alerting for data pipelines, automate deployment and orchestration (e.g., Cloud Composer/Workflow, CI/CD), manage job scheduling, and optimize for reliability and cost efficiency.

un domaine 5

Section 5: Maintaining and automating data workloads

18%
Implement monitoring, logging, and alerting for data pipelines, automate deployment and orchestration (e.g., Cloud Composer/Workflow, CI/CD), manage job scheduling, and optimize for reliability and cost efficiency.

Conseil d'étude

Align study to the official exam blueprint, take timed practice tests, perform weak-area drills with hands-on labs, review answer rationales carefully, and repeat timed blocks to build pacing and confidence.

Blog

Dernières nouvelles du blog ExamBoot

Dernières nouvelles, guides pratiques et histoires de réussite des apprenants du blog ExamBoot

How to Turn a Google Professional Certificate into a Real Paycheck

How to Turn a Google Professional Certificate into a Real Paycheck

A simple roadmap to turn your learning investment into freelance income or a full-time job — faster than you think.

Docker Certified Associate – Preparation & methodology

Docker Certified Associate – Preparation & methodology

Preparing for the Docker Certified Associate (DCA) exam is an achievable goal with the right plan, focused practice, and high-quality mock exams.

From Zero to Certified: How to Study Smarter, Not Longer

From Zero to Certified: How to Study Smarter, Not Longer

Studying smarter isn’t about shortcuts. It’s about understanding how learning actually works