In this article we will discuss about Cloud Computing overview to prepare for AZ 900 Microsoft Azure Fundamentals as per Latest Official Learning Path to earn Microsoft Certified: Azure Fundamentals.
Before taking any certification exam like AZ 900, preparation is very important. This article will help you on how to prepare for AZ 900 certification.
Study guide for Exam AZ-900: Microsoft Azure Fundamentals:
As per latest official syllabus of Azure AZ 900 Microsoft Azure Fundamental Learning Path, we are now at:
- Section: Describe cloud concepts
- -> Topic: Describe cloud computing
- -> Sub Topic: Define cloud computing
- -> Topic: Describe cloud computing
Exam AZ 900 Microsoft Azure Fundamentals requires we understand basic concept of Cloud Computing.
What is Cloud Computing?
Cloud Computing is delivery model of computing resource or services over the internet. As cloud computing delivers services over the internet, so to increase IT infrastructure quickly, we don’t have to wait to build a new data center.
Wikipedia defines cloud computing as below
Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the user.
For all other topic to prepare for AZ 900 Microsoft Azure Fundamentals, please click this link.
Cloud Computing services includes common IT infrastructure or traditional IT resource or service:
- Common IT resource or infrastructure includes Virtual Machines , Storage,Databases,Networking.
- Traditional IT resource or infrastructure includes Internet of Things (IoT),Machine Learning (ML),Artificial Intelligence (AI).
What are the benefits of cloud computing?
For AZ 900 Microsoft Azure Fundamentals Cloud Computing overview, let’s know top advantages of Cloud Computing:
- Faster time to market: We can create and deploy new cloud service instances in seconds which is much faster than the on-premise resource.
- Cost savings: Cloud Computing follows the “pay as you go model” while determining the price of service. That means we do not require initial investment to use a service. We only pay what we actually use.
- Global Scaling: we can scale up or scale down the cloud resources in seconds or minutes. Scaling is of two types
- Vertical scaling or scaling up: It is the process of adding more power (like CPU, Storage, Memory etc) to existing resource or service to increase the power.
- Horizontal scaling or scaling out: It is the process of adding more independent resource so that it can work together along with existing resource, hence increase processing power as one unit.
- Elasticity: Cloud computing can dynamically scale i.e. add or remove resources based on demand.
- Agility: Cloud computing resource has ability to react quickly in lesser time.
- Fault Tolerance: It ability to remain up and running during component and service failure
- Disaster Recovery: It is the ability to recover from event that has taken down service; System should be up and running when disaster happened.
- Performance & Security are also important advantages of cloud computing.
So in this article we define cloud computing to prepare for AZ 900 Microsoft Azure Fundamentals (az-900 define cloud computing). This is important az 900 study materials or azure az-900 study notes pdf 2023 to prepare for this exam.
Tutorial from Azure Synapse:
Azure Synapse Intelligent Cache for Apache Spark: https://sarnendude.com/azure-synapse-analytics-intelligent-cache-for-apache-spark/
Flowlet transformation in Azure Data Factory and Azure Synapse pipeline: https://sarnendude.com/azure-synapse-analytics-intelligent-cache-for-apache-spark/
Azure Synapse Tutorial: Three In ONE Service: https://sarnendude.com/azure-synapse-tutorial/
Tutorial from Azure Data Factory:
Azure Data Factory Data Flow: Change Data Capture Architecture & Demo: https://sarnendude.com/azure-data-factory-data-flow-support-change-data-capture/
Tutorial from PySpark and Azure Databricks:
How to Read CSV file in PySpark easily in Azure Databricks: https://sarnendude.com/how-to-read-csv-file-in-pyspark-easily-and-load-into-dataframe/
How to Write CSV file in PySpark easily in Azure Databricks: https://sarnendude.com/how-to-write-csv-file-in-pyspark-easily-in-azure-databricks/