Skillpipe - AZ-900T01-A

Nota:

• It's the delivery of computing services - including servers, storage, databases, networking, software, analytics, and intelligence over the Internet ("the cloud").

1. servers
2. storage
3. databases
4. networking
5. software
6. analytics
7. intelligence over the Internet

1. High availability
2. Scalability
3. Elasticity
4. Agility
5. Geo-distribution
6. Disaster recovery

1. Infrastructure-as-a-Service (IaaS)
2. Platform-as-a-Service (PaaS)
3. Software-as-a-Service (SaaS)

1. Public cloud
2. Private cloud
3. Hybrid cloud

1. Be future ready
2. Build on your terms
3. Operate hybrid seamlessly
4. Trust your cloud

1. Compute
2. Networking
3. Storage
4. Mobile
5. Databases
6. Web
7. Internet of Things
8. Big data
9. Artificial intelligence
10. DevOps

1. Cloud computing advantages
   1. High Availability
   2. Scalability
   3. Elasticity
   4. Agility
   5. Geo-distribution
   6. Disaster Recovery
2. Consumption-based model
   1. No upfront costs
   2. No need to purchase and manage costly infrastructure
   3. Pay for additional resources when they are needed
   4. Stop paying for resources that are no longer needed
3. Types of expenses
   1. Capital Expenditure (CapEx)

      Nota:

      • is the up front spending of money on physical infrastructure, and then deducting that up front expense over time. The up front cost from CapEx has a value that reduces over time.
   2. Operational Expenditure (OpEx)

      Nota:

      • is spending money on services or products now and being billed for them now. You can deduct this expense in the same year you spend it. There is no up front cost, as you pay for a service or product as you use it.

1. IaaS
   1. No CapEx
   2. Agility
   3. Management
   4. Consumption-based model
   5. Skills
   6. Cloud benefits
   7. Flexibility
2. PaaS
   1. No CapEx
   2. Agility
   3. Platform limitations
   4. Consumption-based model
   5. Skills
   6. Cloud benefits
   7. Productivity
   8. Disadvantage
      1. Platform limitations
3. SaaS
   1. No CapEx
   2. Agility
   3. Software limitations
   4. Pay-as-you-go pricing model
   5. Skills
   6. Flexibility
   7. Disadvantage
      1. Software limitations

1. Public cloud
2. Private cloud
3. Hybrid cloud

1. Azure subscriptions and management groups
   1. Azure subscriptions
      1. Billing boundary
      2. Access control boundary
      3. Additional Azure Subscriptions
         1. Environments
         2. Organizational structures
         3. Billing
         4. Subscription limits
   2. Azure management groups
      1. 10,000 management groups can be supported in a single directory.
      2. A management group tree can support up to six levels of depth. (This limit doesn't include the Root level or the subscription level.)
      3. Each management group and subscription can only support one parent.
      4. Each management group can have many children.
      5. All subscriptions and management groups are within a single hierarchy in each directory.
2. Azure Resource Manager
   1. Resource
   2. Resource Group
      1. Logical grouping
      2. Life cycle
      3. Authorization
   3. Resource Manager
      1. Benefits
         1. Manage your infrastructure through declarative templates rather than scripts.
         2. Deploy, manage, and monitor all the resources for your solution as a group, rather than handling these resources individually.
         3. Redeploy your solution throughout the development lifecycle and have confidence your resources are deployed in a consistent state.
         4. Define the dependencies between resources so they're deployed in the correct order.
         5. Apply access control to all services because Role-Based Access Control (RBAC) is natively integrated into the management platform.
         6. Apply tags to resources to logically organize all the resources in your subscription.
         7. Clarify your organization's billing by viewing costs for a group of resources sharing the same tag.
3. Azure Regions and availability zones
   1. Region
   2. Availability zones
   3. Azure region pairs

1. Azure Cosmos DB
   1. SQL
   2. MongoDB
   3. Cassandra
   4. Tables
   5. Gremlin APIs
2. Azure SQL Database
   1. SQL features
   2. SQL migration
3. Azure database for MySQL
   1. Built-in high availability with no additional cost
   2. Predictable performance, using inclusive pay-as-you-go pricing.
   3. Scale as needed within seconds
   4. Secured to protect sensitive data at-rest and in-motion
   5. Automatic backups and point-in-time-restore for up to 35 days
   6. Enterprise-grade security and compliance
4. Azure Database for PostgreSQL
   1. Built-in high availability compared to on-premises resources
   2. Simple and flexible pricing
   3. Scale up or down as needed within seconds
   4. Adjustable automatic backups and point-in-time-restore for up to 35 days.
   5. Enterprise-grade security and compliance to protect sensitive data at-rest and in-motion that covers data encryption on disk and SSL encryption between client and server communication
   6. Single Server
      1. Built-in high availability with no additional cost (99.99% SLA)
      2. Predictable performance, using inclusive pay-as-you-go pricing
      3. Vertical scale as needed within seconds
      4. Monitoring and alerting to assess your server
      5. Enterprise-grade security and compliance
      6. Secured to protect sensitive data at-rest and in-motion
      7. Automatic backups and point-in-time-restore for up to 35 days
   7. Hyperscale (Citus)
      1. Horizontal scaling across multiple machines using sharding
      2. Query parallelization across these servers for faster responses on large datasets
      3. Excellent support for multi-tenant applications, real time operational analytics, and high throughput transactional workloads
5. Big Data and Analytics
   1. Azure Synapse Analytics

      Nota:

      • Azure Synapse Analytics (formerly Azure SQL Data Warehouse) is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. Azure Synapse gives you the freedom to query data on your terms, using either serverless or provisioned resources at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs. 
      1. Enterprise data warehousing and Big Data analytics
   2. Azure HDInsight

      Nota:

      • Azure HDInsight is a fully managed, open-source analytics service for enterprises. It is a cloud service that makes it easier, faster, and more cost-effective to process massive amounts of data. HDInsight allows you to run popular open-source frameworks and create cluster types such as Apache Spark, Apache Hadoop, Apache Kafka, Apache HBase, Apache Storm, Machine Learning Services. HDInsight also supports a broad range of scenarios such as extraction, transformation, and loading (ETL); data warehousing; machine learning; and IoT.
      1. ETL
      2. Apache Spark, Apache Hadoop, Apache Kafka, Apache HBase, Apache Storm, Machine Learning Services
   3. Azure Databricks

      Nota:

      • Azure Databricks helps you unlock insights from all your data and build artificial intelligence (AI) solutions. You can set up your Apache Spark™ environment in minutes, then autoscale and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn.
      1. Unlock insights from all your data and build artificial intelligence (AI) solutions
      2. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn
   4. Azure Data Lake Analytics

      Nota:

      • Azure Data Lake Analytics is an on-demand analytics job service that simplifies big data. Instead of deploying, configuring, and tuning hardware, you write queries to transform your data and extract valuable insights. The analytics service can handle jobs of any scale instantly by setting the dial for how much power you need. You only pay for your job when it is running, making it more cost-effective.
      1. Analytics is an on-demand analytics job service that simplifies big data

1. Virtual Machines
   1. Virtual Machine Scale Sets
   2. Azure Batch
2. Container Instances
   1. Docker
   2. Azure Kubernetes Service (AKS)
   3. Azure Container Instances (ACI)
3. App Service
   1. Web Apps
   2. API Apps
   3. WebJobs
   4. Mobile Apps
4. Serverless Computing
   1. Functions
   2. Logic Apps
5. Windows Virtual Desktop
   1. Simplified management
   2. Performance management
   3. Performance management

1. Storage Account
2. Disk Storage
3. Blob Storage and container storage
4. File Storage
5. Storage Tiers
   1. Hot storage tier
   2. Cool storage tier
   3. Archive storage tier

1. Fundamentals
   1. Isolation and segmentation
   2. Internet communications
   3. Communicate between Azure resources
      1. Virtual networks
      2. Service endpoints
   4. Communicate with on-premises resources
      1. Point-to-site Virtual Private Networks
      2. Site-to-site Virtual Private Networks
      3. Azure ExpressRoute
   5. Route network traffic
      1. Route tables
      2. Border Gateway Protocol
   6. Filter network traffic
      1. Network security groups
      2. Network virtual appliances
   7. Connect virtual networks
2. VPN Gateway
   1. Policy-based VPNs
   2. Route-based VPNs
3. ExpressRoute
   1. Benefits
      1. Layer 3 connectivity
      2. Built-in redundancy
      3. Connectivity to Microsoft cloud services
      4. Across on-premises connectivity with ExpressRoute Global Reach
      5. Dynamic routing
   2. Connectivity Models
      1. CloudExchange colocation
      2. Point-to-point Ethernet connection
      3. Any-to-any connection