Professional Cloud Database Engineer Exam Qúestions

Google Cloud Professional Cloud Database Engineer

Course by CertCraft Institute

Section 1: Designing Scalable and Reliable Database Solutions (~25%)

• Select the right database type: relational, NoSQL, time-series, in-memory

• Evaluate trade-offs between consistency, availability, and latency

• Design for disaster recovery and high availability (multi-region, regional, failover)

• Plan for automated backups, replication, and snapshot strategies

• Integrate data warehousing and analytical tools (BigQuery, Looker) into architecture

Section 2: Managing Database Deployments (~20%)

• Deploy managed databases: Cloud SQL, Spanner, Bigtable, Firestore, AlloyDB

• Migrate data using Database Migration Service (DMS), Transfer Appliance, or external tools

• Automate provisioning with Infrastructure as Code (e.g., Terraform, Deployment Manager)

• Choose appropriate configurations for compute, memory, storage

• Perform 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 control

• Implement data protection: CMEK, VPC Service Controls, encryption at rest/in transit

• Set up audit logging and access transparency

• Ensure regulatory compliance (e.g., GDPR, HIPAA) using organization policies and labels

• Manage secure connections via SSL/TLS and private IP

Section 4: Optimizing Performance and Troubleshooting (~20%)

• Monitor databases with Cloud Monitoring, Logging, and Query Insights

• Tune SQL queries and indexes to reduce latency

• Configure caching layers (e.g., Memorystore) for read-intensive workloads

• Set up autoscaling and high-throughput configurations

• Identify and resolve performance bottlenecks in real time

Section 5: Managing Operations and Maintenance (~17%)

• Schedule maintenance events and version upgrades with minimal downtime

• Set up point-in-time recovery (PITR), replication, and failover

• Use Cloud Console, gcloud CLI, and API for maintenance and health checks

• Implement monitoring and alerting to prevent outages

• Plan for capacity, scaling, and data lifecycle policies

Requirements / Prerequisites

• Experience with SQL and common databases (MySQL, PostgreSQL, etc.)

• Familiarity with Google Cloud services and IAM

• Basic understanding of cloud infrastructure, networking, and security concepts

• Hands-on experience with at least one GCP-managed database (Cloud SQL, Spanner, etc.)

Who This Course Is For

• Database administrators shifting to cloud environments

• Cloud engineers and architects managing GCP infrastructure

• Developers working with transactional or analytical workloads on Google Cloud

• IT professionals preparing for the Google Cloud Professional Cloud Database Engineer exam