Parallel Databases

What is a parallel database in the context of a university library?

• A parallel database is a database system that divides the book cataloging workload across multiple librarians or library branches.

• A parallel database is a database system that only allows one librarian to access the book records at a time.

• A parallel database is a database system that stores book information in a sequential manner.

• A parallel database is a database system that does not support book data replication.

What are the advantages of using a parallel database in a real-world scenario?

• Decreased performance and scalability

• Limited storage capacity

• Higher cost

• Improved performance and scalability

What are the disadvantages of using a parallel database in a large-scale e-commerce platform?

• Increased complexity, higher cost, and potential performance issues

• Limited scalability, slower data retrieval, and increased maintenance requirements

What are some examples of parallel databases used by Priya, Rohan, and William in their project?

• Apache Hadoop, Apache Cassandra, Google Bigtable

• SQLite, Microsoft Access, FileMaker

• MongoDB, Redis, Elasticsearch

• MySQL, PostgreSQL, Oracle

How does parallel query processing improve sales performance?

• By allowing multiple parts of a sales report to be generated simultaneously

• By slowing down the generation of the sales report

• By limiting the number of sales representatives accessing the sales database

• By increasing the complexity of the sales analysis

Which computing approach aims to reduce overall computation time by exploiting concurrency?

• Sequential computing

• Parallel computing

• Distributed computing

• Both parallel and distributed computing

What is the main challenge of parallel computing in a real-world scenario?

• They require coordination and synchronization mechanisms to manage data dependencies and ensure correct execution.

• They can dynamically add or remove nodes to handle varying workloads.

• They better use available hardware resources compared to sequential computing.

• They involve lower communication overhead due to network communication.

What is the main advantage of parallel computing systems over distributed computing systems?

• They can dynamically add or remove nodes to handle varying workloads.

• They better use available hardware resources compared to sequential computing.

• They exploit concurrency to execute tasks simultaneously.

• They involve lower communication overhead due to network communication.

What is an example of concurrent computing in real life?

• Video Streaming

• Manufacturing Assembly Line

• Internet Search Engine

• Content Delivery Network (CDN)

Each student is assigned a different project and all projects have access to a shared library.

• Distributed

• Concurrent

• Parallel