Professional-Cloud-Database-Engineer Practice Test Overview
Total Questions: 100 (This number is an example; adjust based on your actual test length)
Target Job Roles: Cloud Database Architects, Cloud Database Administrators, Database Engineers, Data Architects, and other professionals working with cloud-based database solutions. Think of it as a test for anyone who needs to master their cloud database skills.
Language: English
I. Core Database Concepts (25 Questions)
- A. Relational Database Management Systems (RDBMS):
- Understanding of normalization, ACID properties, and different database models. Think of it like building a well-organized house: you need a solid foundation (normalization) and everything needs to work together reliably (ACID).
- SQL query writing and optimization. (Expect questions on joins, subqueries, and indexing.)
- Example: What’s the most efficient way to retrieve data from three related tables?
- B. NoSQL Databases:
- Understanding of different NoSQL database types (document, key-value, graph, etc.). Imagine needing to store different kinds of information – sometimes structured, sometimes not. NoSQL databases offer flexibility for this.
- Data modeling and querying in NoSQL databases.
- Example: When would you choose a document database over a relational database?
- C. Data Modeling and Design:
- Entity-relationship diagrams (ERDs) and schema design.
- Data integrity and consistency. It's like ensuring your spreadsheet doesn't have conflicting information.
II. Google Cloud Platform (GCP) Specifics (35 Questions)
- A. Cloud SQL:
- Instance creation, configuration, and management. Picture setting up and maintaining your own database server, but in the cloud.
- High availability and disaster recovery options.
- Performance tuning and optimization.
- B. Cloud Spanner:
- Globally distributed database service. Imagine a database that's fast and reliable no matter where your users are located.
- Schema design and data modeling for Spanner.
- Understanding of its unique features like strong consistency and horizontal scalability.
- C. BigQuery:
- Data warehousing and analytics using BigQuery. Think of it as a giant, powerful spreadsheet for analyzing massive datasets.
- Writing efficient SQL queries for BigQuery.
- Data loading and transformation techniques.
- Understanding of partitioning and clustering for optimized performance.
III. Security and Compliance (15 Questions)
- A. Access Control and Authentication:
- IAM roles and permissions in GCP. This is like setting up security guards and access keys for your database.
- Best practices for securing cloud databases.
- B. Data Encryption:
- Understanding of encryption at rest and in transit. Keeping your data safe, both when it’s stored and when it’s moving.
- C. Auditing and Compliance:
- Meeting regulatory compliance requirements related to data security. Think HIPAA or GDPR compliance.
IV. Deployment and Management (15 Questions)
- A. Deployment Strategies:
- Different ways to deploy and manage databases in GCP.
- B. Monitoring and Logging:
- Using GCP monitoring and logging tools to track database performance and identify issues. This is like having a dashboard that shows you the health of your database in real-time.
- C. Backup and Recovery:
- Implementing effective backup and recovery strategies for cloud databases. Having a plan in place in case something goes wrong.
V. Cost Optimization (10 Questions)
- A. Resource Management:
- Optimizing database resource utilization to minimize costs.
- B. Pricing Models:
- Understanding the different pricing models for GCP database services.
This outline provides a comprehensive overview. Remember to deepen your understanding in each area! Good luck with your exam preparation!
