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Database Programming Practice Exam

Database Programming Practice Exam


About Database Programming Exam

The Database Programming exam is designed to evaluate a candidate’s proficiency in writing, optimizing, and maintaining code that interacts with databases. This includes the use of procedural programming constructs within database systems, query development, data manipulation, and the integration of business logic within stored procedures, triggers, and user-defined functions.

This exam covers key programming paradigms in SQL and procedural extensions such as PL/SQL (Oracle), T-SQL (Microsoft SQL Server), and procedural languages supported by PostgreSQL. Candidates are tested on their ability to build efficient, secure, and scalable database-centric applications that align with business requirements.


Who should take the Exam?

This exam is suitable for:

  • Database Developers and Programmers responsible for creating and maintaining server-side logic.
  • Application Developers who interact heavily with database layers through embedded SQL and stored procedures.
  • Software Engineers developing data-driven applications requiring tight integration with relational databases.
  • Business Intelligence Developers who create data retrieval scripts and reporting layers.
  • Data Analysts and Engineers who use procedural logic to automate data processing workflows.
  • Students and Graduates pursuing degrees in computer science, software engineering, or information systems with an emphasis on backend development.


Skills Required

To succeed in the Database Programming exam, candidates should possess:

  • Proficiency in SQL: Mastery of data definition (DDL), data manipulation (DML), and data control (DCL) languages.
  • Experience with Procedural Extensions: Understanding of PL/SQL, T-SQL, or similar languages used to enhance SQL’s capabilities.
  • Logical and Algorithmic Thinking: Ability to translate business logic into database-level programming.
  • Understanding of Relational Database Concepts: Solid knowledge of normalization, indexing, transactions, constraints, and data integrity.
  • Debugging and Optimization Techniques: Skills to identify performance bottlenecks and apply best practices in query tuning.
  • Security Awareness: Familiarity with access control, input sanitization, and prevention of SQL injection and other vulnerabilities.


Knowledge Gained

After completing the course and passing the exam, candidates will be able to:

  • Write complex SQL queries and procedural code to manipulate and retrieve data efficiently.
  • Develop stored procedures, triggers, and functions to implement business rules.
  • Handle transactions and concurrency control mechanisms programmatically.
  • Optimize code for performance, maintainability, and security.
  • Integrate database programming with front-end applications or reporting tools.
  • Troubleshoot and debug procedural code within enterprise-level databases.


Course Outline

The Database Programming Exam covers the following topics -

Module 1: Introduction to Database Programming

  • Purpose and scope of database programming
  • Benefits of procedural code within databases
  • Use cases and application domains


Module 2: Review of SQL Fundamentals

  • SELECT, INSERT, UPDATE, DELETE commands
  • Joins, subqueries, views, and set operations
  • Aggregate functions and grouping


Module 3: Procedural Language Constructs

  • Introduction to PL/SQL, T-SQL, and other variants
  • Variables, data types, control-of-flow statements
  • Error handling and exception management


Module 4: Stored Procedures and Functions

  • Creating and invoking stored procedures
  • Writing user-defined functions (scalar and table-valued)
  • Parameter passing and execution context


Module 5: Triggers and Event-Driven Programming

  • Types of triggers (BEFORE, AFTER, INSTEAD OF)
  • Business rules enforcement through triggers
  • Auditing and logging changes


Module 6: Transactions and Concurrency

  • COMMIT, ROLLBACK, and SAVEPOINT
  • Isolation levels and locking mechanisms
  • Deadlock prevention and detection


Module 7: Error Handling and Debugging

  • Structured exception handling
  • Using debugging tools and logs
  • Common syntax and logical errors


Module 8: Security and Permissions

  • Managing user roles and privileges
  • Preventing SQL injection and securing procedural code
  • Encryption and auditing techniques


Module 9: Performance Tuning

  • Analyzing execution plans and indexing strategies
  • Refactoring slow-performing code
  • Using built-in performance monitoring tools


Module 10: Integration with Applications

  • Calling stored procedures from external applications
  • Interfacing with front-end development tools
  • Using APIs and middleware for data access

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