Cloud Computing Design Methodologies Quiz

The process of identifying the building blocks of your cloud application and allocating them to specific cloud resources. This includes defining inputs, outputs, interfaces, and potential design patterns.

Defines how different components of your cloud application interact with each other, ensuring loose coupling and a stateless design. This involves using messaging queues, functional interfaces, and external status databases.

Mapping each component of your application to specific cloud resources like web servers, database servers, or application servers.

This design step is often less essential in PaaS models, as the platform handles many of the infrastructure details for you. Focus shifts to utilizing the platform's specific features and SDKs.

These are software development kits (SDKs) provided by PaaS services, like Google App Engine or Azure Web Sites. They offer tools and libraries specific to the platform to help you develop your cloud application.

This type of design emphasizes building your application in a way where its components are loosely coupled and stateless. This means components can work independently with minimal reliance on each other, and they don't store important data locally.

These are used in loosely coupled design, allowing asynchronous communication between components. Think of them like mailboxes for messages.

These are interfaces, such as REST APIs, designed for communication between components. They ensure components can interact without knowing the internal workings of each other.

A restricted environment for applications within PaaS, ensuring resources are isolated and performance is not affected by other applications.

The platform handles deploying and scaling the application, allowing developers to focus on coding using platform-specific tools.

The ability to move an application from one environment to another without significant changes. PaaS applications often face limitations in portability.

The user interface for image uploading and displaying the processed results.

Components responsible for handling user requests, image processing, and displaying results.

Where processed images are stored.

The detailed plan outlining how application components interact with each other.

The setup and arrangement of components within the cloud environment, including load balancers, application servers, and storage.

A user interface for submitting MapReduce jobs.

Handles tasks like uploading files, creating and queuing MapReduce jobs, processing requests, and sending email notifications.

Uses Hadoop to analyze data and cloud storage to store files.

The framework used in the analytics tier to perform distributed data processing.

Component design for a web application that collects and analyzes social media data, focusing on real-time sentiment analysis.

Presents the results of sentiment analysis from social media data.

A multi-tier architecture with a load balancer, application servers, and cloud storage, designed for scaling and reliability.

A cloud service that provides elastic and scalable computing resources.

A software architecture that separates different functionalities into distinct tiers, allowing for better scalability and maintainability. Each tier focuses on a specific aspect of the application.

A method for distributing workload across multiple servers, ensuring high availability and efficient resource utilization. It acts as a traffic manager, directing requests to different servers based on load and availability.

Servers that run the application logic, processing user requests and interacting with databases or other services. They are crucial for executing the application code and delivering responses to users.

A type of web application framework that simplifies the development process by providing tools for building dynamic websites and web applications. Django is known for its rapid development features and clear structure.

A common database management system that uses structured query language (SQL) for data manipulation and retrieval. MySQL offers scalability and reliability for storing large datasets.

A platform for accessing and managing data, offering storage for files, images, videos, and other digital content. It allows users to store and share their data remotely.

A distributed computing framework that breaks down large tasks into smaller, independent units that can be processed in parallel. Each unit is assigned to a different computing node, speeding up the processing time.

The process of deploying and configuring the application on the chosen cloud platform, including setting up servers, configuring the operating system, installing software, and configuring network settings.

This tier is designed to accept incoming social media feeds (like tweets), process them, and then render the analyzed results in a dashboard.

The database tier is responsible for storing and managing the aggregated data from social media analysis.

The storage tier is primarily used for storing raw data such as the original social media posts before analysis.

The component responsible for collecting social media feeds based on specific keywords.

This component processes the collected feeds, performs analysis, and then stores the aggregated results in the database.

The deployment design maps out the physical resources in the cloud infrastructure that support the application.

This design involves outlining how different components like the Listener, Consumer, and database interact with each other.

The features a user-friendly interface to visualize and interact with the results of the social media analysis.