Big Data and Cloud Computing Quiz

Using data to design tailored advertising campaigns based on user behavior, leading to higher conversion rates.

Analyzing customer data to understand preferences, leading to personalized marketing and better customer experiences.

Leveraging data insights to improve existing products or create innovative new ones.

Using data analytics to optimize pricing strategies, reducing manual errors and boosting profitability.

Analyzing data patterns to identify and address potential risks proactively.

Using data-driven insights to make quicker and better decisions.

Storing and accessing data and computing services over the internet instead of using local servers or personal computers.

A challenge of big data where storing and managing massive datasets poses difficulties.

Lack of trust in cloud providers due to unclear ownership and management of data uploaded to their services.

Cloud services limiting user flexibility and control, restricting the types of applications and formats that can be used.

Cloud services offering minimal customer support compared to traditional hosting, leaving users to find solutions independently.

While cloud computing can reduce infrastructure costs, hidden fees for features can lead to unexpected expenses requiring careful management of service agreements.

A cloud model where resources are shared among multiple clients, like renting a portion of a larger storage device.

Dedicated cloud resources for a single organization, ensuring complete control over data security and privacy.

A multi-tenant platform shared by organizations within the same industry, providing collaboration while maintaining privacy.

A combination of public and private clouds, allowing organizations to host public services in the public cloud while maintaining sensitive data privately.

A model where computing resources are offered on-demand, allowing users to access servers, data storage, networking, and databases as needed.

Cloud computing allows multiple users to access and share data from a central location, removing limitations on data storage and retrieval.

Cloud services provide reliable data backups, ensuring data is protected against service failures and accidental loss.

Cloud computing allows users to easily adjust their computing resources based on their needs, scaling up or down as required.

Cloud service providers handle all maintenance and updates, freeing users from managing software and allowing them to focus on their work.

Cloud computing offers enhanced security measures compared to traditional IT infrastructure, promoting safer data storage and access.

The pay-as-you-go model of cloud computing allows organizations to manage costs effectively, paying only for the resources they use.

Even with robust systems, cloud providers can experience service disruptions, leading to potential access issues.

A network of connected devices, like smartphones, appliances, or sensors, that collect and exchange data.

These collect data from the environment, like temperature, humidity, or motion.

Data from sensors is transmitted through various methods like cellular networks, Wi-Fi, or Bluetooth.

Collected data is processed in the cloud, performing analysis or checks based on predefined rules.

Users receive information through alerts, notifications, or a user interface, allowing them to interact with the system remotely.

A type of software that helps manage databases, organizing data into structured tables.

Each entry in a table, representing a single instance of something, like a student record.

Each column in a table, representing a specific property or characteristic of the data.

A cloud computing model that provides a platform for developing, running, and managing applications. PaaS handles infrastructure and software management, allowing developers to focus on coding.

A cloud computing model offering virtualized computing resources like servers, storage, and networking. It's like renting a virtual server with all the necessary infrastructure.

A cloud computing extension that places processing power and storage closer to data sources. It's like a local cloud that handles data before sending it to the main cloud.

Small, local servers used in fog computing that process data locally. They act as a bridge between devices and the main cloud.

The ability to connect directly to a destination without going through the network backbone. It allows devices to manage their own connections and tasks.

The ability of fog computing to handle a large volume of data in real time. It's suited for tasks requiring immediate processing.

The application of fog computing in tasks where data streams are large and require immediate processing.

Devices embedded with sensors that collect and send data, enabling interaction with the physical world. These devices are often part of IoT networks.

A characteristic or property that describes an entity. For example, a 'student' entity can be described with attributes like 'student ID', 'name', and 'age'.

A specific type of data that defines what kind of information can be stored in an attribute. Common examples include 'text', 'integer', 'real number', and 'date'.

A database management system (DBMS) based on the relational model. It organizes data into tables with rows and columns, and allows relationships between tables.

A unique identifier for each record in a table. It ensures that every record can be uniquely identified.

A field in one table that links to the primary key of another table, establishing a relationship between the tables.

Structured Query Language, a standard language used for managing and manipulating data in relational databases. It allows you to perform various operations like creating, deleting, modifying, and retrieving data.

A category of SQL commands that define the structure of the database. It includes commands like CREATE, DROP, and ALTER, which are used to create, delete, and modify tables and their attributes.

An SQL command used to create a new table in a database. It specifies the table name, column names, data types, and any constraints for the table.