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