Database - DBMS Concepts MCQ Questions and Answers

Test your knowledge of Database - [DBMS Concepts] section with these interactive multiple-choice questions.

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281. What is a vector database?

  • a) Optimized for storing and querying high-dimensional vector embeddings
  • b) A database with vector graphics support
  • c) A type of spatial database
  • d) A database using vector clocks for synchronization
Answer: A - Vector databases like Pinecone or Weaviate enable similarity search for AI/ML applications.

282. What is database continuous verification?

  • a) Real-time integrity checking using cryptographic proofs
  • b) Ongoing performance monitoring
  • c) Version control for databases
  • d) Automated backup validation
Answer: A - Uses Merkle trees or zero-knowledge proofs to detect tampering instantly.

283. What is a blockchain database?

  • a) Immutable ledger with cryptographic chain of records
  • b) A database stored in blockchain blocks
  • c) A distributed relational database
  • d) A database for cryptocurrency transactions
Answer: A - Combines traditional database features with blockchain's tamper-evident properties.

284. What is database augmented analytics?

  • a) AI-driven insights and automated data preparation
  • b) Enhanced query visualization
  • c) Analytics on encrypted data
  • d) Predictive indexing
Answer: A - Uses ML to automate data discovery, pattern recognition, and insight generation.

285. What is a time-series database (TSDB)?

  • a) Optimized for timestamped data points
  • b) A database with temporal tables
  • c> A versioned database
  • d> A database tracking query execution times
Answer: A - Specialized for IoT, monitoring, and financial data with time-based compression.

286. What is database edge computing?

  • a> Processing data near its source with local databases
  • b> Geographical database distribution
  • c> Database sharding
  • d> Edge-case handling in queries
Answer: A - Reduces latency by running lightweight databases (e.g., SQLite) on edge devices.

287. What is a knowledge graph database?

  • a> Stores relationships between entities as a semantic network
  • b> A graph of database schemas
  • c> A database documentation system
  • d> A visualization tool
Answer: A - Powers semantic search and AI reasoning (e.g., Google Knowledge Graph).

288. What is database confidential AI?

  • a> Machine learning on encrypted data
  • b> Private AI model storage
  • c> Secure database connections
  • d> Anonymized training data
Answer: A - Enables model training without exposing raw sensitive data.

289. What is a serverless database?

  • a> Fully managed with automatic scaling and no provisioning
  • b> A database without backend servers
  • c> A client-side database
  • d> A peer-to-peer database
Answer: A - Services like FaunaDB or Aurora Serverless handle capacity dynamically.

290. What is database causal consistency?

  • a> Preserves cause-effect relationships across distributed nodes
  • b> Ensures chronological ordering
  • c> A type of transaction isolation
  • d> Consistent performance metrics
Answer: A - Stronger than eventual consistency but more available than linearizability.

291. What is a digital twin database?

  • a> Virtual representation of physical systems with real-time sync
  • b> A database replica
  • c> A backup verification system
  • d> A type of in-memory database
Answer: A - Used in IoT and manufacturing to simulate real-world entities.

292. What is database differential privacy?

  • a> Adding statistical noise to query results to protect individuals
  • b> Private database access
  • c> Encrypted differential backups
  • d> Version control for sensitive data
Answer: A - Enables aggregate analysis without exposing personal information.

293. What is a stream database?

  • a> Processes infinite data sequences in real-time
  • b> A database of video streams
  • c> A type of log-structured database
  • d> Continuous backup streaming
Answer: A - Systems like ksqlDB apply SQL to live data streams.

294. What is database neuromorphic computing?

  • a> Brain-inspired architectures for pattern recognition
  • b> Neural network storage
  • c> Database optimization using AI
  • d> Cognitive query processing
Answer: A - Specialized hardware for efficient similarity searches.

295. What is a quantum database?

  • a> Leverages quantum algorithms for specialized queries
  • b> A database storing quantum states
  • c> A database running on quantum computers
  • d> A theoretical database model
Answer: A - Uses quantum parallelism for tasks like unstructured search.

296. What is database intent-based management?

  • a> Declares desired state while automation handles implementation
  • b> Query optimization based on user intent
  • c> Predictive indexing
  • d> Natural language interfaces
Answer: A - Similar to Kubernetes operators for database ecosystems.

297. What is a fog database?

  • a> Intermediate layer between edge devices and cloud
  • b> An obscured database
  • c> A weather data database
  • d> A type of encrypted database
Answer: A - Provides localized processing for IoT networks.

298. What is database self-supervised learning?

  • a> Automatically extracts patterns to optimize itself
  • b> Learning without training data
  • c> Automated database tutorials
  • d> Query autocompletion
Answer: A - Uses inherent data structures as training signals.

299. What is a spatial-temporal database?

  • a> Tracks moving objects through space and time
  • b> A geographical database with history
  • c> A type of time-series database
  • d> Database migration tracking
Answer: A - Essential for GPS, logistics, and trajectory analysis.

300. What is database hyperautomation?

  • a> Combines RPA, AI, and orchestration for end-to-end automation
  • b> Extreme query optimization
  • c> Automated database scaling
  • d> Self-repairing databases
Answer: A - Automates everything from provisioning to troubleshooting.
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