Google Cloud Professional Cloud Architect: Landing Zones
A Google Cloud landing zone is the governed starting environment from which application teams consume cloud services. It is not a single product…
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Google Cloud Professional Cloud Architect: Cost Optimization
Cost optimization in Google Cloud is an architectural discipline, not a monthly exercise in deleting whatever looks expensive. The current Google Cloud Professional…
Read articleGoogle Cloud Professional Cloud Architect: Cloud Storage and Retention Design
Storage architecture is not only a question of where to put files. For the current Google Cloud Professional Cloud Architect exam, storage decisions…
Read articleGoogle Cloud Professional Cloud Architect: Choosing Compute Engine, GKE, and Cloud Run
Google Cloud offers several ways to run applications, and the choice between Compute Engine, Google Kubernetes Engine (GKE), and Cloud Run is fundamentally…
Read articleGoogle Cloud Professional Cloud Architect: Applying the Google Cloud Well-Architected Framework
The current Google Cloud Professional Cloud Architect exam expects candidates to balance business requirements, technical constraints, security, reliability, performance, cost, operations, and future…
Read articleGoogle Cloud Professional Cloud Security Engineer: Workload Identity Federation
Workload Identity Federation lets workloads authenticate to Google Cloud by exchanging credentials from an external identity provider for short-lived Google Cloud credentials instead…
Read articleGoogle Cloud Professional Cloud Security Engineer: Security Command Center for Cloud Risk Management
Security Command Center is Google Cloud’s centralized risk management platform for discovering vulnerabilities, misconfigurations, threats, posture drift, and other security findings across cloud…
Read articleGoogle Cloud Professional Cloud Security Engineer: Policies & Guardrails
Cloud guardrails define what teams are allowed to create, where they can create it, and which security boundaries cannot be bypassed. In Google…
Read articleGoogle Cloud Professional Data Engineer: Pub/Sub Design for Event-Driven Data Pipelines
Pub/Sub is often introduced as a simple publish-and-subscribe service, but production design depends on much more than creating a topic and attaching a…
Read articleGoogle Cloud Professional Data Engineer: Streaming Analytics
Streaming analytics is the practice of turning continuously arriving events into useful results while those events still have operational value. In Google Cloud,…
Read articleGoogle Cloud Professional Data Engineer: Dataflow vs Dataproc for Data Processing
Dataflow and Dataproc have historically represented two different ways to process large datasets on Google Cloud: one centered on the Apache Beam programming…
Read articleGoogle Cloud Professional Data Engineer: Data Governance with Dataplex
Data governance in Google Cloud is no longer just a question of where a dataset lives or who has an IAM role. It…
Read articleGoogle Cloud Professional Data Engineer: Reliable ELT Pipelines in BigQuery
ELT—extract, load, transform—fits BigQuery well because raw data can be loaded into the warehouse first and transformed with scalable SQL afterward. The challenge…
Read articleGoogle Cloud Professional Data Engineer: BigQuery Partitioning and Clustering Strategy
Partitioning and clustering are two of the most important physical design decisions for large BigQuery tables because they influence how much data a…
Read articleGoogle Cloud Professional Machine Learning Engineer: Vertex AI Model Training and Deployment
Model training and deployment are the point where machine-learning ideas become operational services. On Google Cloud, preparation for the Google Cloud Professional Machine…
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