Databases for Cloud Computing

What is a non-relational database?

• DB where the information is represented in objects as in the OOP.

• Storage system characterized by not using SQL language.

• Type of DB used to store and manage semi-structured data.

• A type of DB that stores and provides access to related data points.

Answer explanation

A non-relational database is defined by its lack of reliance on SQL for data management, allowing for flexible data models. This distinguishes it from traditional relational databases, making the correct choice about its characteristics.

What is an object-oriented database?

• Storage system characterized by not using SQL language.

• Type of DB used to store and manage semi-structured data.

• A type of DB that stores and provides access to related data points.

• DB where the information is represented in objects as in the OOP.

Answer explanation

An object-oriented database represents information as objects, similar to object-oriented programming (OOP). This allows for more complex data structures and relationships, making it distinct from traditional relational databases.

What is a document-oriented database?

• A type of DB that stores and provides access to related data points.

• DB where the information is represented in objects as in the OOP.

• Type of DB used to store and manage semi-structured data.

• Storage system characterized by not using SQL language.

Answer explanation

A document-oriented database is specifically designed to store and manage semi-structured data, allowing for flexible data models and easy retrieval, making it distinct from traditional relational databases.

What is a distributed database?

• A type of DB that stores and provides access to related data points.

• DB where the information is represented in objects as in the OOP.

• Type of DB used to store and manage semi-structured data.

• Several DBs are connected to each other by a communications system.

Answer explanation

A distributed database consists of multiple databases connected via a communication system, allowing data to be stored and accessed across different locations, which is essential for scalability and reliability.

Select the key-value database management systems.

• Amazon DynamoDB, Redis, Riak KV.

• db4O, ObjectDB, ObjectStore

• MySQL, SQL Server, MariaDB

• Machine learning, KDD, datawarehouse, Cubos OLAP

Answer explanation

Amazon DynamoDB, Redis, and Riak KV are all key-value database management systems, designed for high performance and scalability. The other options include object databases and relational databases, which do not fit the key-value model.

Select Object-Oriented Database Management Systems

• Amazon DynamoDB, Redis, Riak KV.

• db4O, ObjectDB, ObjectStore

• MySQL, SQL Server, MariaDB

• Machine learning, KDD, datawarehouse, Cubos OLAP

Answer explanation

The correct choice, db4O, ObjectDB, and ObjectStore, are all Object-Oriented Database Management Systems, designed to handle data in the form of objects, unlike the other options which include relational and non-relational databases.

Select Document-Oriented Database Management Systems

• Amazon DynamoDB, Redis, Riak KV.

• db4O, ObjectDB, ObjectStore

• MySQL, SQL Server, MariaDB

• MongoDB, Amazon DynamoDB, Couchbase, Azure Cosmos

Answer explanation

The correct choice includes MongoDB, Amazon DynamoDB, Couchbase, and Azure Cosmos, all of which are document-oriented databases designed to store, retrieve, and manage document data in a flexible format.

What is data mining?

• Set of techniques and technologies used for data extraction.

• Process that analyzes and interprets large volumes of data.

• It is used to store and manage semi-structured data.

• Process that analyzes and interprets small volumes of data.

Answer explanation

Data mining involves a set of techniques and technologies for extracting valuable information from large datasets. The correct choice highlights this aspect, distinguishing it from other processes that may not focus on extraction.

Select data mining tools.

• Amazon DynamoDB, Redis, Riak KV.

• db4O, ObjectDB, ObjectStore

• MySQL, SQL Server, MariaDB

• Machine learning, KDD, datawarehouse, Cubos OLAP

Answer explanation

The correct choice, 'Machine learning, KDD, datawarehouse, Cubos OLAP', includes techniques and methodologies used in data mining, while the other options list databases or storage solutions, not data mining tools.

What is BIG DATA?

• Set of techniques and technologies used for data extraction.

• Process that analyzes and interprets large volumes of data.

• It is used to store and manage semi-structured data.

• Process that analyzes and interprets small volumes of data.

Answer explanation

BIG DATA refers to the process that analyzes and interprets large volumes of data, enabling organizations to extract valuable insights and make data-driven decisions.