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Data Infrastructure and Cloud Systems Flashcards
CompTIA DataX DY0-001 (V1) Flashcards
| Front | Back |
| Define fault tolerance in cloud systems | Ensures system reliability in case of component failure |
| Define serverless computing | Cloud model where developers run code without managing servers |
| Define vertical scaling in cloud systems | Increasing the capacity of an existing machine |
| Name a key benefit of cloud auto-scaling | Dynamically adjusts resources to meet demand |
| Name three popular cloud service providers | AWS Azure Google Cloud |
| What does CDN stand for in cloud systems | Content Delivery Network |
| What does elasticity mean in cloud environments | Ability to scale resources up or down based on demand |
| What is a database read replica | A copy of the primary database used for scaling read operations |
| What is an API gateway | Manages and routes API requests between services |
| What is data replication | Copying data across multiple locations for redundancy |
| What is horizontal scaling in cloud systems | Adding more machines to distribute the workload |
| What is Infrastructure as a Service (IaaS) | A cloud computing model that provides virtualized computing resources over the internet |
| What is Kubernetes | An open-source platform for managing containerized applications |
| What is multitenancy in cloud systems | Sharing resources among multiple users with isolation |
| What is object storage used for in cloud systems | Storing unstructured data like images or videos |
| What is provisioning in data infrastructure | Setting up and configuring cloud resources |
| What is the benefit of using containerization | Enables lightweight and portable application deployment |
| What is the purpose of a load balancer | Distributes incoming network traffic across multiple servers |
| What is the role of a data warehouse | Central repository for structured and aggregated data |
| What is the role of a hypervisor in virtualization | Manages virtual machines on physical hardware |
This deck explores cloud platforms, data storage solutions, and infrastructure management in modern data ecosystems, focusing on scalability and performance optimization.