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MySQL Developer
The Oracle MySQL Database Developer certification exam validates expertise in SQL development, stored programs, application integration, performance tuning, and advanced development techniques, ensuring professionals can design and optimize robust MySQL solutions.
Who Should Take This
It is intended for database developers, software engineers, and system analysts who have at least two years of hands‑on MySQL experience and seek to demonstrate mastery of advanced development and optimization practices. Candidates aim to advance their careers, qualify for senior roles, and reinforce credibility with a recognized Oracle credential.
What's Covered
1
SQL Development
2
Stored Programs
3
Application Development
4
Performance Optimization
5
Advanced Development
What's Included in AccelaStudy® AI
Course Outline
62 learning goals
1
SQL Development
2 topics
Advanced SQL
- Implement advanced MySQL queries with window functions, CTEs, lateral derived tables, and recursive queries.
- Design complex SQL solutions with multi-table operations, set operations, and conditional aggregation for reporting.
- Configure JSON operations with JSON_TABLE, JSON_VALUE, JSON_OBJECT, and JSON_ARRAYAGG for semi-structured data processing.
- Analyze SQL query execution plans to optimize join strategies, index usage, and subquery materialization.
- Configure Advanced SQL with appropriate settings and parameters for a production deployment scenario in Oracle MySQL Database Developer.
- Assess Advanced SQL implementations against best practices to identify gaps and recommend improvements.
- Architect Advanced SQL solutions with scalability patterns and capacity planning for long-term sustainability.
Data Types and Functions
- Implement MySQL data type selection with appropriate precision, storage, and charset considerations for application data.
- Configure spatial data operations with geometry types, spatial indexes, and ST_ functions for location-based applications.
- Design full-text search implementations with MATCH AGAINST, boolean mode, and natural language mode for text-heavy applications.
- Evaluate data type choices to optimize storage efficiency, query performance, and application compatibility.
- Evaluate Data Types and Functions alternatives and tradeoffs to recommend the optimal approach for given constraints.
- Formulate Data Types and Functions governance frameworks with policies, standards, and compliance monitoring.
- Explain how to troubleshoot common issues with Data Types and Functions including error messages and diagnostic procedures.
2
Stored Programs
2 topics
Procedures and Functions
- Implement stored procedures with input/output parameters, conditional logic, cursors, and handler-based error management.
- Design stored function libraries with deterministic functions, result caching, and SQL-mode-aware implementations.
- Configure prepared statements and parameterized queries within stored programs for SQL injection prevention.
- Analyze stored program performance to identify recompilation issues, cursor overhead, and optimization opportunities.
- Design enterprise-grade Procedures and Functions architectures incorporating HA, DR, and security requirements.
- Apply Procedures and Functions configuration patterns to meet specific business requirements including compliance needs.
Triggers and Events
- Implement triggers with BEFORE/AFTER timing and INSERT/UPDATE/DELETE events for data validation and auditing.
- Design event-driven automation using MySQL Event Scheduler for periodic data maintenance, cleanup, and reporting.
- Configure trigger-based audit logging with NEW/OLD row references for tracking data modifications.
- Evaluate trigger and event designs to identify performance impacts, cascading effects, and alternative approaches.
- Implement Triggers and Events following best practices for security, performance, and reliability.
- Diagnose Triggers and Events issues by analyzing metrics, logs, and configuration to determine root causes.
3
Application Development
2 topics
Connector and API Development
- Implement MySQL Connector/J, Connector/Python, and Connector/Node.js for application database connectivity.
- Design connection pooling strategies with application-side pools, ProxySQL, and MySQL Router for connection management.
- Configure MySQL X DevAPI with document store operations for NoSQL-style development alongside relational queries.
- Evaluate connector selection and configuration to optimize connection overhead, pooling, and failover handling.
- Analyze Connector and API Development configurations to identify security vulnerabilities, bottlenecks, and optimization opportunities.
- Recommend Connector and API Development optimization strategies balancing performance, cost, and operational complexity.
Application Patterns
- Design database access patterns: repository pattern, unit of work, active record, and query builder for clean architecture.
- Implement transaction management patterns with isolation levels, optimistic/pessimistic locking, and deadlock handling.
- Configure MySQL Document Store with JSON collections, CRUD operations, and schema validation for flexible data models.
- Analyze application data access patterns to identify N+1 query problems, unnecessary locking, and transaction scope issues.
- Architect Application Patterns solutions with scalability patterns and capacity planning for long-term sustainability.
- Configure Application Patterns with appropriate settings and parameters for a production deployment scenario in Oracle MySQL Database Developer.
4
Performance Optimization
2 topics
Query Optimization
- Design indexing strategies with composite indexes, covering indexes, and index merge for query performance optimization.
- Implement query hints, optimizer switches, and session-level settings for controlling query execution behavior.
- Configure EXPLAIN FORMAT=TREE and EXPLAIN ANALYZE for detailed query execution analysis and cost estimation.
- Analyze query patterns using slow query log and performance_schema to identify and remediate performance hotspots.
- Explain how to troubleshoot common issues with Query Optimization including error messages and diagnostic procedures.
- Evaluate Query Optimization alternatives and tradeoffs to recommend the optimal approach for given constraints.
Schema Optimization
- Implement table design optimizations with appropriate normalization, denormalization, and materialized calculations.
- Design partition strategies for time-series data, multi-tenant applications, and archival patterns for large tables.
- Configure InnoDB page compression, ROW_FORMAT optimization, and VARCHAR versus CHAR selection for storage efficiency.
- Evaluate schema designs against application query patterns to recommend index, partition, and normalization changes.
- Compare Schema Optimization deployment patterns to determine the best architecture for availability and scalability needs.
- Design enterprise-grade Schema Optimization architectures incorporating HA, DR, and security requirements.
5
Advanced Development
2 topics
JSON and Document Store
- Design JSON-first application architectures using MySQL JSON columns with generated virtual columns and functional indexes.
- Implement JSON schema validation, JSON path expressions, and JSON table functions for structured JSON data processing.
- Configure multi-value indexes on JSON arrays for efficient querying of nested array elements in JSON documents.
- Evaluate JSON versus relational data modeling for application requirements considering query patterns and data flexibility.
- Plan JSON and Document Store migration and modernization strategies with phased rollout and rollback procedures.
- Implement JSON and Document Store following best practices for security, performance, and reliability.
Security and Testing
- Implement application-level security with prepared statements, input validation, and MySQL roles for access control.
- Design database testing strategies with test fixtures, transaction rollback testing, and mock data generation approaches.
- Configure MySQL enterprise features for application security including data masking, audit logging, and encryption.
- Analyze application security to identify SQL injection vectors, privilege escalation risks, and data exposure vulnerabilities.
- Deploy Security and Testing with integration to monitoring, logging, and alerting services for operational visibility.
- Analyze Security and Testing configurations to identify security vulnerabilities, bottlenecks, and optimization opportunities.
Scope
Included Topics
- All domains in the Oracle MySQL Database Developer certification exam guide.
- Core topics: SQL Development, Stored Programs, JSON, Optimization, Connectors, Application Design Patterns.
- Oracle services, tools, and best practices relevant to this certification.
- Scenario-based problem solving at the professional level.
Not Covered
- Topics outside the official exam guide scope.
- Programming language specifics beyond the exam requirements.
- Specific pricing values that change over time.
- Third-party products beyond basic integration awareness.
Official Exam Page
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