FaunaDB Interview Questions and Answers for experienced

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100 FaunaDB Interview Questions and Answers

  1. What is FaunaDB and what are its core features?

    • Answer: FaunaDB is a serverless, distributed, transactional NoSQL database. Its core features include a globally distributed architecture, built-in security and authorization, ACID transactions, flexible schema, and a powerful query language (FQL).

  2. Explain the difference between FaunaDB and other NoSQL databases like MongoDB or Cassandra.

    • Answer: Unlike document databases like MongoDB, FaunaDB offers ACID transactions and a schema-less but strongly-typed approach. Compared to Cassandra, which focuses on high availability and scalability through data partitioning, FaunaDB prioritizes ease of use and developer experience with its built-in security and powerful query language.

  3. How does FaunaDB handle data consistency and transactions?

    • Answer: FaunaDB guarantees ACID properties (Atomicity, Consistency, Isolation, Durability) across all its globally distributed deployments. This means transactions are atomic and either fully complete or fully roll back, ensuring data consistency even in distributed environments.

  4. What is FQL (Fauna Query Language) and what are its advantages?

    • Answer: FQL is FaunaDB's query language, offering a declarative approach to data manipulation. Its advantages include its expressiveness, allowing complex queries to be written concisely, and its strong typing, reducing runtime errors.

  5. Describe FaunaDB's indexing mechanism and how it impacts query performance.

    • Answer: FaunaDB automatically creates indexes based on your data model and query patterns. These indexes optimize query performance by allowing FaunaDB to efficiently retrieve data without full table scans. Choosing appropriate indexes is crucial for performance optimization.

  6. How do you manage schema changes in FaunaDB?

    • Answer: Schema changes in FaunaDB are managed through FQL statements. FaunaDB's schema is flexible, allowing you to add, modify, or remove fields without significant downtime, however careful planning is recommended to avoid impacting performance.

  7. Explain FaunaDB's role-based access control (RBAC) system.

    • Answer: FaunaDB's RBAC allows granular control over data access, letting you define roles with specific permissions and assign those roles to users or services. This enhances security by restricting access based on predefined roles.

  8. How does FaunaDB handle data replication and availability?

    • Answer: FaunaDB automatically replicates data across multiple data centers to ensure high availability and fault tolerance. This ensures continuous operation even if one data center experiences an outage.

  9. Describe your experience with FaunaDB's serverless architecture.

    • Answer: [This requires a personalized answer based on experience. Discuss aspects like scalability, cost-effectiveness, and ease of management in a serverless environment.]

  10. How would you optimize a slow FaunaDB query?

    • Answer: I would start by examining the query plan using FaunaDB's query profiling tools. Then, I would focus on optimizing the query itself, perhaps by adding or modifying indexes, refactoring the query logic, or using appropriate FQL functions. Analyzing data access patterns can also highlight areas for improvement.

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