Parallel and Distributed Databases Basics

Emma is managing a large online retail store that experiences high traffic during sales events. To ensure that the database can handle multiple transactions simultaneously and improve performance, she decides to implement a new system. What type of database should Emma choose?

• A parallel database is a database that only stores unstructured data.

• A parallel database is a database that uses multiple processors to perform operations simultaneously for improved performance.

• A parallel database is a type of cloud storage service.

• A parallel database is a single processor database for faster access.

In a tech company, the database team is tasked with improving the company's data management system. They are exploring various database architectures to meet their needs. What are the primary goals of parallel databases?

• Simplify database design

• The primary goals of parallel databases are to enhance performance, scalability, fault tolerance, and reduce response time.

• Increase data redundancy

• Limit user access

Imagine a tech company, TechSolutions, is planning to upgrade its database system to improve performance and scalability. They are considering a parallel database architecture. What are three characteristics of parallel database architectures that TechSolutions should consider?

• 1. Data distribution across multiple nodes. 2. Parallel processing of queries and transactions. 3. Scalability to handle increasing workloads.

• Single-node architecture

• Limited scalability for small workloads

• Sequential processing of queries

In a busy restaurant kitchen, multiple chefs are working together to prepare meals efficiently. Explain how the shared memory architecture in parallel databases is similar to their collaboration.

• Shared memory architecture requires a dedicated memory for each processor.

• Shared memory architecture enables multiple processors to access a common memory space for efficient data sharing and communication in parallel databases.

• In shared memory architecture, data is only accessible by a single processor at a time.

• Shared memory architecture is primarily used for disk storage management.

In a modern office, several employees are working on a project that requires access to a shared database. What is a shared disk system in parallel database architectures?

• A shared disk system allows multiple nodes to access a common disk storage for parallel processing.

• A shared disk system requires a single node to manage all data.

• A shared disk system uses separate disks for each node.

• A shared disk system is limited to read-only access for all nodes.

In a tech company, David is leading a project that involves multiple teams working on different components of a software application. Each team has its own dedicated resources, including servers and databases, and they do not share any memory or storage with other teams. How would you define this type of system in the context of parallel databases?

• A shared nothing system is a parallel database architecture where each node has its own resources and does not share memory or storage with other nodes.

• A shared nothing system requires all nodes to access a common storage.

• In a shared nothing system, nodes share both memory and storage resources.

• A shared nothing system is a type of database that relies on a single server for all processing.

In a tech company, William is tasked with managing the company's data storage solutions. He learns about different types of databases and comes across the concept of distributed databases. What are distributed databases?

• Databases that only exist on a single server

• Databases that are only used for temporary storage

• Distributed databases are databases that are spread across multiple locations or nodes, allowing for improved availability, fault tolerance, and scalability.

• Databases that do not allow for data replication

In a global company, Samuel is tasked with managing the company's data storage system. He needs to ensure that the data is accessible and consistent across all branches located in different countries. What are two key characteristics of the distributed databases he should consider?

• Data is stored in a single location.

• 1. Data is stored across multiple locations. 2. Provides data consistency and availability.

• Only provides data availability without consistency.

• Data is replicated but not distributed.

Elijah is working on a project that involves managing data across multiple locations. He needs to understand the different types of distributed databases to choose the best architecture for his application. What are the different types of distributed databases?

• Homogeneous, Heterogeneous, Fragmented, Replicated, Hybrid

• Centralized, Virtual, Static

In a tech company, Mia is tasked with managing the company's data storage system. She needs to ensure that the data is accessible and secure for all employees. How does data distribution work in distributed databases?

• Data is stored in a single central server for easy access.

• Data is partitioned and replicated across multiple nodes to ensure scalability and availability.

• Data is only replicated but not partitioned across nodes.

• Data is encrypted and stored in a cloud service without distribution.