Professional Cloud Database Engineer Training and Certification in Coimbatore
Elevate Your Cloud Database Engineering Career with Nux Software.
Are you ready to become a sought-after Professional Cloud Database Engineer? Nux Software offers top-tier training programs designed to equip you with the skills and knowledge needed to excel in this high-demand field.
Key Benefits of Training with Nux Software
- Expert-Led Instruction: Learn from industry-leading trainers with extensive hands-on experience
- Facilities: Access cutting-edge technology and resources in our modern training center.
- Learning: Choose from a variety of training formats, including in-person, online, and blended learning options.
- Support: Benefit from individualized attention and tailored learning plans to meet your specific needs.
- Preparation: Get ready for the Google Cloud Professional Cloud Database Engineer certification exam with our comprehensive training.
Our Comprehensive Curriculum Covers
- Cloud database design and architecture
- Database management and optimization
- Data warehousing and analytics
- Security and compliance best practices
- Hands-on Qwiklabs projects for practical experience
Why Choose Nux Software?
- Proven Track Record: Our graduates have achieved remarkable career success.
- Industry Partnerships: We collaborate with leading tech companies to stay up-to-date with the latest industry trends.
- Continuous Support: Our commitment to your success extends beyond the classroom, with ongoing support and resources.
Ready to Take the Next Step?
Enroll in our Professional Cloud Database Engineer training program today and unlock your potential. Visit Nux Software to learn more and start your journey to becoming a cloud database engineering expert.
Professional Cloud Database Engineer Training Course Syllabus
Modules
Section 1: Design scalable and highly available cloud database solutions (~42% of the exam)
1.1 Analyze relevant variables to perform database capacity and usage planning. Activities include:
●Given a scenario, perform solution sizing based on current environment workload metrics and future requirements
●Evaluate performance and cost tradeoffs of different database configurations (machine types, HDD versus SSD, etc.)
●Size database compute and storage based on performance requirements
1.2 Evaluate database high availability and disaster recovery options given the requirements. Activities include:
●Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies
●Given a scenario, define maintenance windows and notifications based on application availability requirements
●Plan database upgrades for Google Cloud-managed databases
1.3 Determine how applications will connect to the database. Activities include:
●Design scalable, highly available, and secure databases
●Configure network and security (Cloud SQL Auth Proxy, CMEK, SSL certificates)
●Justify the use of session pooler services
●Assess auditing policies for managed services
1.4 Evaluate appropriate database solutions on Google Cloud. Activities include:
●Differentiate between managed and unmanaged database services (self-managed, bare metal, Google-managed databases and partner database offerings)
●Distinguish between SQL and NoSQL business requirements (structured, semi-structured, unstructured)
●Analyze the cost of running database solutions in Google Cloud (comparative analysis)
●Assess application and database dependencies
Section 2: Manage a solution that can span multiple database solutions (~34% of the exam)
2.1 Determine database connectivity and access management considerations. Activities include:
●Determine Identity and Access Management (IAM) policies for database connectivity and access control
●Manage database users, including authentication and access
2.2 Configure database monitoring and troubleshooting options. Activities include:
●Assess slow running queries and database locking and identify missing indexes
●Monitor and investigate database vitals: RAM, CPU storage, I/O, Cloud Logging
●Monitor and update quotas
●Investigate database resource contention
●Set up alerts for errors and performance metrics
2.3 Design database backup and recovery solutions. Activities include:
●Given SLAs and SLOs, recommend backup and recovery options (automatic scheduled backups)
●Configure export and import data for databases
●Design for recovery time objective (RTO) and recovery point objective (RPO)
2.4 Optimize database cost and performance in Google Cloud. Activities include:
●Assess options for scaling up and scaling out.
●Scale database instances based on current and upcoming workload
●Define replication strategies
●Continuously assess and optimize the cost of running a database solution
2.5 Determine solutions to automate database tasks. Activities include:
●Perform database maintenance
●Assess table fragmentation
●Schedule database exports
Section 3: Migrate data solutions (~14% of the exam)
3.1 Design and implement data migration and replication. Activities include:
●Develop and execute migration strategies and plans, including zero downtime, near-zero downtime, extended outage, and fallback plans
●Reverse replication from Google Cloud to source
●Plan and perform database migration, including fallback plans and schema conversion
●Determine the correct database migration tools for a given scenario
Section 4: Deploy scalable and highly available databases in Google Cloud (~10% of the exam)
4.1 Apply concepts to implement highly scalable and available databases in Google Cloud. Activities include:
●Provision high availability database solutions in Google Cloud
●Test high availability and disaster recovery strategies periodically
●Set up multi-regional replication for databases
●Assess requirements for read replicas
●Automate database instance provisioning
