computing architect Interview Questions and Answers

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100 Computing Architect Interview Questions and Answers

  1. What is your experience with different architectural styles like microservices, monolithic, and event-driven architectures? Discuss the trade-offs of each.

    • Answer: I have extensive experience with microservices, monolithic, and event-driven architectures. Monolithic architectures are simple to develop and deploy initially, but become difficult to scale and maintain as they grow. Microservices offer better scalability, independent deployment, and technology diversity, but introduce complexities in inter-service communication, monitoring, and data consistency. Event-driven architectures excel at handling asynchronous events and high throughput, but require robust message queues and careful handling of event ordering and consistency. The choice depends on the specific application's needs, scale, and complexity. For example, a small, simple application might benefit from a monolithic architecture, while a large, complex, high-traffic application would be better suited for a microservices or event-driven architecture.

  2. Describe your experience with cloud computing platforms (AWS, Azure, GCP).

    • Answer: I have significant experience with AWS, specifically using EC2, S3, RDS, Lambda, and other services for designing and deploying scalable and resilient applications. I'm also familiar with Azure and GCP, understanding their core offerings and how they compare to AWS. My experience includes designing cloud-native architectures, implementing CI/CD pipelines, and managing cloud resources effectively. I understand the importance of cost optimization and security best practices within these platforms.

  3. How do you approach designing a highly available and scalable system?

    • Answer: Designing for high availability and scalability involves several key considerations. First, I would identify potential points of failure and implement redundancy at each layer (network, servers, databases). This could involve load balancing, geographically distributed deployments, and database replication. For scalability, I would use horizontal scaling techniques, leveraging auto-scaling features in cloud platforms and designing the architecture to handle increased traffic gracefully. I'd also employ techniques like caching and content delivery networks (CDNs) to reduce load on backend systems. Performance testing and capacity planning are critical to ensure the system can handle anticipated loads.

  4. Explain your understanding of different database technologies (SQL, NoSQL, NewSQL). When would you choose one over another?

    • Answer: I'm proficient with various database technologies. SQL databases (like PostgreSQL, MySQL) are ideal for relational data with ACID properties, requiring strong consistency and data integrity. NoSQL databases (like MongoDB, Cassandra) are better suited for handling large volumes of unstructured or semi-structured data with high availability and scalability needs, often accepting eventual consistency. NewSQL databases aim to bridge the gap, offering scalability and availability of NoSQL with the ACID properties of SQL. The choice depends on the specific application requirements. If data integrity and relationships are paramount, SQL is preferred. If scalability and high volume are key, NoSQL might be better. NewSQL could be a good compromise when both are important.

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