Databases Practice Exam
A database refers to a software which stores data in a structured manner so that data can be easily accessed, managed, and updated. Databases help to store and organize data as well as provide features to maintain security, data integrity and availability. They are used across industries and can be relational (SQL-based) or non-relational (NoSQL-based).
A certification in Databases certifies your skills and knowledge in managing, designing, and implementing databases. This certification assess you in database architecture, optimization, and security.
Why is Databases certification important?
- Demonstrates proficiency in database design, management, and optimization.
- Boosts job prospects in data-driven industries.
- Shows mastery of tools like SQL Server, Oracle, or MongoDB.
- Opens opportunities for advanced database administration or architecture roles.
- Ensures skills in optimizing queries and managing large datasets.
- Validates knowledge of database security practices and compliance.
- Equips candidates to work with cloud-based and distributed databases.
- Certifications are valued by employers worldwide.
Who should take the Databases Exam?
- Database Administrator (DBA)
- Data Analyst
- Data Engineer
- Software Developer
- IT System Administrator
- Cloud Engineer
- Business Intelligence (BI) Developer
- Data Scientist
- Application Developer
- Database Architect
Skills Evaluated
Candidates taking the certification exam on the Databases is evaluated for the following skills:
- Database Design and Modeling
- Querying and Data Manipulation
- Database Administration
- Performance Optimization
- Security Practices
- Data Integration
- Cloud Database Management
- Troubleshooting
- Database Automation
- Scalability and Maintenance
Databases Certification Course Outline
The course outline for Databases certification is as below -
Domain 1 - Database Fundamentals
- Types of databases (Relational, NoSQL)
- ACID properties and transaction management
Domain 2 - Data Modeling
- Entity-Relationship (ER) diagrams
- Normalization and denormalization
Domain 3 - SQL Basics and Advanced SQL
- SELECT, INSERT, UPDATE, DELETE commands
- Joins, subqueries, and stored procedures
Domain 4 - NoSQL Databases
- NoSQL databases types - document, key-value, graph
- Use cases and limitations
Domain 5 - Database Administration
- Backup and recovery
- User management
Domain 6 - Performance Optimization
- Indexing
- Query optimization
Domain 7 - Database Security
- Access control
- Encryption
- Data masking
Domain 8 - Cloud Databases
- Cloud-based database services
- Migration
Domain 9 - ETL
- Extract, Transform, Load (ETL)
- Data migration and synchronization
Domain 10 - Troubleshooting and Maintenance
- Monitoring
- Deadlocks and bottlenecks