Overview

Google Cloud Professional Cloud Database EngineerCourse by CertCraft Institute Section 1: Designing Scalable and Reliable Database Solutions (~25%)Select the right database type: relational, NoSQL, time-series, in-memoryEvaluate trade-offs between consistency, availability, and latencyDesign for disaster recovery and high availability (multi-region, regional, failover)Plan for automated backups, replication, and snapshot strategiesIntegrate data warehousing and analytical tools (BigQuery, Looker) into architecture Section 2: Managing Database Deployments (~20%)Deploy managed databases: Cloud SQL, Spanner, Bigtable, Firestore, AlloyDBMigrate data using Database Migration Service (DMS), Transfer Appliance, or external toolsAutomate provisioning with Infrastructure as Code (e.g., Terraform, Deployment Manager)Choose appropriate configurations for compute, memory, storagePerform initial sizing and scaling for workloads Section 3: Ensuring Database Security and Compliance (~18%)Apply Identity and Access Management (IAM) roles for fine-grained access controlImplement data protection: CMEK, VPC Service Controls, encryption at rest/in transitSet up audit logging and access transparencyEnsure regulatory compliance (e.g., GDPR, HIPAA) using organization policies and labelsManage secure connections via SSL/TLS and private IP Section 4: Optimizing Performance and Troubleshooting (~20%)Monitor databases with Cloud Monitoring, Logging, and Query InsightsTune SQL queries and indexes to reduce latencyConfigure caching layers (e.g., Memorystore) for read-intensive workloadsSet up autoscaling and high-throughput configurationsIdentify and resolve performance bottlenecks in real time Section 5: Managing Operations and Maintenance (~17%)Schedule maintenance events and version upgrades with minimal downtimeSet up point-in-time recovery (PITR), replication, and failoverUse Cloud Console, gcloud CLI, and API for maintenance and health checksImplement monitoring and alerting to prevent outagesPlan for capacity, scaling, and data lifecycle policies Requirements / PrerequisitesExperience with SQL and common databases (MySQL, PostgreSQL, etc.)Familiarity with Google Cloud services and IAMBasic understanding of cloud infrastructure, networking, and security conceptsHands-on experience with at least one GCP-managed database (Cloud SQL, Spanner, etc.) Who This Course Is ForDatabase administrators shifting to cloud environmentsCloud engineers and architects managing GCP infrastructureDevelopers working with transactional or analytical workloads on Google CloudIT professionals preparing for the Google Cloud Professional Cloud Database Engineer exam

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