Oracle NoSQL Database Interview Questions and Answers for 5 years experience
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What are the key differences between Oracle NoSQL Database and relational databases like Oracle Database?
- Answer: Oracle NoSQL Database is a key-value, document, and graph database designed for high scalability and availability, handling massive datasets and high throughput. Relational databases like Oracle Database use tables with rows and columns, enforcing schema rigidity and ACID properties. NoSQL prioritizes scalability and flexibility over strict ACID compliance. Key differences include data model (flexible vs. structured), schema (schema-less vs. schema-fixed), consistency (eventual consistency vs. strong consistency), and query language (NoSQL-specific vs. SQL).
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Explain the different data models supported by Oracle NoSQL Database.
- Answer: Oracle NoSQL Database supports three primary data models: Key-Value, JSON Document, and Graph. Key-Value is the simplest, storing data as key-value pairs. JSON Document allows storing semi-structured data in JSON format, offering flexibility. The Graph model represents data as nodes and edges, ideal for representing relationships.
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Describe the concept of eventual consistency in Oracle NoSQL Database.
- Answer: Eventual consistency means that data will be consistent across all replicas eventually, but not immediately. In Oracle NoSQL Database, writes might not be immediately visible to all reads. This trade-off allows for higher availability and scalability. It's crucial to understand this characteristic when designing applications.
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How does sharding work in Oracle NoSQL Database?
- Answer: Sharding distributes data across multiple servers, improving scalability. In Oracle NoSQL Database, sharding involves partitioning data based on a shard key, allowing for horizontal scaling. Each shard is managed by a separate server, and data is distributed to ensure balanced load across the cluster.
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Explain the role of indexes in Oracle NoSQL Database.
- Answer: Indexes significantly improve query performance by creating data structures that allow faster retrieval of specific data. Oracle NoSQL Database supports various index types, including primary keys, secondary indexes, and GSI (Global Secondary Index) which are crucial for efficient data access.
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How do you handle transactions in Oracle NoSQL Database? Are ACID properties guaranteed?
- Answer: Oracle NoSQL Database offers different transaction levels depending on the data model. While it doesn't strictly enforce full ACID properties like relational databases (due to the focus on scalability), it offers various levels of consistency and atomicity within a single operation or a set of coordinated operations. The guarantee of ACID properties depends on the specific configuration and chosen consistency level.
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What are the different types of clients available for interacting with Oracle NoSQL Database?
- Answer: Oracle provides various client libraries for different programming languages, such as Java, Python, Node.js, and others. These libraries allow developers to interact with the database using the language they are most comfortable with.
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Describe your experience with performance tuning in Oracle NoSQL Database.
- Answer: [This requires a personalized answer based on your actual experience. Include examples of how you optimized queries, chose appropriate indexes, tuned the cluster configuration, or improved application logic to improve performance. Quantify your improvements whenever possible.]
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How do you handle data backup and recovery in Oracle NoSQL Database?
- Answer: Oracle NoSQL Database offers mechanisms for data backup and recovery, typically involving regular snapshots and replication strategies. Specific techniques may vary depending on the deployment environment (cloud or on-premises) and configurations. The recovery process involves restoring from backups or utilizing replication to recover from failures.
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