Q. In which situation are document stores like MongoDB and CouchDB typically used?

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Q. Which NoSQL database category is suitable for modeling relationships among data and is often used in fields such as geospatial analysis and network analysis?

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Q. What does the CAP theorem state about distributed storage systems?

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Q. Which property of the CAP theorem refers to the system's ability to provide the same data to all clients after an operation?

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Q. What is the main difference between the ACID and BASE properties in the context of database transactions?

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Q. Which category of NoSQL databases is known for its high scalability and suitability for managing large lists of elements?

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Q. What are the main performance bottlenecks for NoSQL data stores?

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Q. How does the number of nodes in a cluster typically affect the completion times of jobs in a clustering solution?

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Q. Why is memory caching or memory-based storage important for high-performance databases?

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Q. What role does the network capability play in the performance of Big Data management?

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Q. How can data organization impact storage and access performance?

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Q. Why is it important to define rules for arranging and filtering data in Big Data solutions?

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Q. What is the challenge related to data rendering when dealing with huge data sets?

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Q. How can efficient access to Big Data results be guaranteed?

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Q. What is a common feature of faceted results in data access?

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Q. How does the number of nodes in a cluster affect job completion times in Big Data solutions?

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Q. What is the role of memory caching or memory-based storage in high-performance databases?

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Q. How does network capability impact the performance of Big Data management?

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Q. What is the CAP theorem and how does it relate to Big Data solutions?

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Q. How do NoSQL databases differ from traditional relational databases?

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