Azure Fundamentals (AZ900) certification preparation – short notes-II

Second post from our Azure Fundamentals (AZ900) certification preparation notes. If you haven’t gone through the first post in this series, you can find it here.

This series intents to helps those who are preparing for the AZ900 certification, so that you don’t have to go through the complete documentation. This also helps in your revision if you have already prepared for your exam.

[ Disclaimer : This is not a complete training material for the certification. This is just random (short) notes which we captured from course curricula, which will help the readers for their final revision/rewind before appearing for the exam. We do not offer any guarantee in passing the exam with this content ]

So, let’s get into the contents in this section.

Azure Regions, AZs, Geography and Datacenters

AZ – one ore more DCs. Better practice is to have workload running in 3 AZs for HA. 99.99% SLA
Availability Set : Ensures that the resources are in different racks in same DC. 99.95% SLA

Fault domain : Grouping of hardware considering to avoid single point of failure
Update domain : Grouping of hardware considering to avoid single point of failure during software update
Region – AZ – Geography (is the data residency and compliance boundary – data will be within the country boundary), a geography will have minimum 2 regions at a far physical distance
Recommended Region : broadest service capabilities. Supports AZs.
Alternate (other) Region : A region within the data residency boundary (Geography) having recommended region as well. Not designed to support AZs.

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Special Regions : for legal and compliance requirements basically for governments. China and US are having a few special regions (US DoD Central, US Gov Virginia, US Gov Iowa, China East etc…) .
Three categories of services
Foundational : Once the service is GA, it will be immediately (or in 12 months) be available in all (recommended and Alternate) regions
Mainstream : Once the service is GA, it will be immediately (or in 12 months) be available in recommended regions. Available in Alternate regions based on customer request
Specialized : Available in any region as per customer request.
Compute services
Azure VMs : Most common type of Compute service. Choose your own OS and hardware requirements. Underlying hardware will be shared with other customers.
Azure container service : Docker as a service. Run containers without having any servers or VMs.
Azure Kubernetes Service (AKS) : K8s as a service. to deploy,manage scale cotinerized apps. Open source K8 software.
Azure Service Fabric : Tier-1 Enterprise container as a service. Distributed systems platform. On Azure or On-premises.
– Easy to package, deploy and manage scalable and reliable microservices (A Cont service or AKS instance maybe)
Azure functions : serverless compute. No need to provision/manage any servers.
Azure batch : plans,schedules and executes batch computer workloads.

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Storage Services
Azure Blob storage : Object storage
Azure Disk storage : Block storage
Azure File storage : NAS
Azure Queue storage: Messaging queue for apps (SNS in AWS)
Azure Table storage: NoSQL database table storage
Azure databox/databox heavy : For moving TB/PBs of storage. Snowball example
Azure Archive storage: Cheap long-term cold storage. (Glacier example)
Azure datalake storage: Centralized repo for all structured/unstructured data at any scale (bigdata)
Database services
Azure Cosmos DB : Fully managed NoSQL DB
Azure SQL DB : Fully managed MS SQL DB
Azure DB for MySQL/PSQL/MariaDB : Fully managed MySQL,PostgreSQL,MariaDB scalable and high available.
SQL server on VMs : MS SQL engine on VMs. Lift-n-shift MS SQL servers from on-prem to cloud
Azure synapse analytics (Azure SQL data warehouse) : fully managed data warehouse on cloud. security and scale
Azure DB migration service : to migrate your DB to cloud without any changes.
Azure cache for Redis : (Open-source) Redis caching for your DBs for performance.
Azure table storage : Wide column NoSQL DB – A NoSQL store that hosts unstructured data independant of schemas
More details in the next section. You can find the next section in this series here. Click here for the complete series.


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