BLOB: BLOBs offer a component for storing a lot of content or binary data, for example, pictures, audio, and visual documents. They can scale up to 200 terabytes and can be acquired by utilizing REST APIs.
Table: Tables represent storage areas across machines for information that is in the form of properties on the cloud.
Line: The sole target of a queue is to empower communication among Web and Worker Role instances. They help in storing messages that may be accessed by a customer.
A hybrid cloud is a blend of internal and external cloud services, a mix of a private cloud joined with the utilization of public cloud services. This kind of cloud is most appropriate when you need to keep the classified information in your vicinity (private cloud) and consume alternate services from a public cloud.
Azure Databricks is essentially a Data Analytics platform that provides 2 environments to develop data-intensive applications. The data-intensive applications can be Azure Databricks SQL Analytics and Azure Databricks Workspace.
Cloud providers natively provide Azure Databricks’ integration with the compute, security, storage, analytics, and AI services. So, there will be the fusion of data and AI workloads.
Azure Content Delivery Network (CDN) saves bandwidth, reduces load times, and boosts responsiveness. These benefits are perceptible when you are developing or controlling websites/ mobile apps. These benefits are also visible when encoding and distributing gaming software, streaming media, firmware updates, or IoT endpoints.
Azure CDN mitigates security threats over the content distribution network like distributed denial-of-service attacks. Through its distributed, global presence, the CDN easily deals with abrupt traffic spikes as well as heavy loads of Azure APIs. The developer tools provide you enough security, reliability, and performance for quickly building global applications.
Azure Cosmos DB is a Planet-scale, Globally Distributed Database provided by Azure. It is Schema-agnostic and hence considered a NoSQL database. Cosmos DB provides Incredibly Low Latency in the order of Milliseconds. Cosmos DB supports a wide range of APIs including SQL, MongoDB, Cassandra, Graph, Table etc.
Server-less computing is one of the most coined terms in the cloud these days. Unleashing the PaaS feature with an immense amount compute power without any server to host an app has really impacted web development a big way. The idea is to do compute without hosting the app on a server.
Basically, we can think of it to be a cab aggregator or even food delivery startups which provide us with a platform to book a cab or order food but the actual service will be provided by a third-party vendor. On a similar note, we put our logic on a serverless computing module which can connect to different third-party services to do the job.
Azure App Service supports the following types of applications.
* Web Apps
* Mobile Apps
* API Apps
* Logic Apps
A subscription can have up to 800 resource groups. Also, a resource group can have up to 800 resources of the same type and up to 15 tags.
Yes, you can. A resource can be moved among resource groups.
A resource group is a logical container for created resources in Azure. An ARM resource can exist only in one resource group. A resource group is created in a region and it can have the resources from the other regions. All resources within the resource group share the common lifecycle.
Blob Storage provides storage capacity for data. It places data into different tiers based on how often they’re accessed.
* Any type of unstructured data can be stored
* Data integrity is maintained every time an object is changed
* It helps to increase app performance and reduces bandwidth consumption
Public Cloud - Every component that the user is using in his/ her application are running only on Azure
Private Cloud - Azure services are being run within an on-premises data center or on-premises data centers are used by the user to host systems or applications
Hybrid Cloud - Combines features of both Public and Private cloud. Some of the user’s components are being run on Azure and others within an on-premises datacenter
Azure Traffic Manager is a traffic load balancer that enables users to provide high availability and responsiveness by distributing traffic in an optimal manner across global Azure regions.
* It provides multiple automatic failover options
* It helps reduce application downtime
* It enables the distribution of user traffic across multiple locations
* It enables users to know where customers are connecting from
The price calculator tool is an Azure tool to use in estimating the costs (https://azure.microsoft.com/en-us/pricing/calculator/). This tool allows to select and estimate the cost of deploying resources to Azure.
Azure SQL DB is a SQL Server Database engine instance that is fully managed by the cloud provider. This deployment model makes it easy to transfer on-premises applications to the cloud with very few application and database changes.
Azure Fabric is the principal core concept. It gives a service called Azure Fabric Controller. It is called the OS for Azure since it handles/oversees:
* All roles (processing) and resources
* Sending and activating services
* Monitoring the health of all services
* Releasing and allocating resources
* Provisioning VM, terminating, etc.
* Patches get updated for the installed OS on VM in the most automated form
Virtual machine scale sets are Azure compute resource that you can use to deploy and manage a set of identical VMs. With all the VMs configured the same, scale sets are designed to support true autoscale, and no pre-provisioning of VMs is required. So it’s easier to build large-scale services that target big compute, big data, and containerized workloads.
This is not supported. You cannot use Azure Resource Manager to deploy a virtual machine into a virtual network that was created using classic deployment.
Cloud service roles comprise a set of application and configuration files. There are 2 kinds of roles provided by Azure:
1. Web role: This provides a dedicated web server belonging to IIS (Internet Information Services) that is used for automatic deployment and hosting of front-end websites.
2. Worker role: These roles help the applications hosted within them to run asynchronously for longer durations and are independent of the user interactions and generally do not use IIS. They are also ideal for performing background processes. The applications are run in a standalone manner.
A role instance is nothing but a virtual machine where the application code runs with the help of running role configurations. There can also be multiple instances of a role as per the definition in the cloud service configuration files.
A pricing calculator is a tool provided by Microsoft Azure to estimate costs by adding the required products and example scenarios.
A cloud service role is a set of managed and load-balanced virtual machines that work together to perform tasks. The two kinds of Azure Web Service roles are:
* It is a cloud service role that is used to run web applications developed in programming languages * supported by IIS (Internet Information Services) like ASP.NET, PHP, etc.
* It automatically deploys and hosts applications through the users IIS
* It runs applications and other tasks that don't require IIS. It performs supporting background tasks along with web roles.
* It doesn’t use IIS and runs user applications standalone .
Azure Kubernetes service cannot be directly categorised as it is a kind of PaaS wrapper over the underlying Virtual Machine set used for the cluster. It is charged only for the worker nodes that are part of the VM scale-set, which is technically an IaaS. The managers are a kind of wrapper PaaS service and are taken care of by the Azure cloud provider.
Text Analysis API is a set of web services that can be used for text analysis. It is used to analyze unstructured text for sentiment analysis and keyphrase extraction. It provides results that range between 0 and 1, to elicit a positive or negative sentiment.
Azure is a cloud computing platform with Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). These are services used for analytics, virtual computing, storage, networking, and much more.
Virtual Networks are the core azure networking components as it is responsible for all the vital administrative functions. VN has full control over IP addresses assignments and name resolution. Azure networking component plays a key role in providing administrators with full access to security settings. Routing rules for movement of data from one machine to another are determined by the Azure virtual networks.
SQL Azure Federation provides tools that can enable developers to access or share databases among themselves in SQL Azure.
1. It enables users to take advantage of resources within the cloud
2. It allows users to have their own database or share databases amongst each other
3. It reduces the possibility of a single point of failure
4. It provides cost-effectiveness, by using cloud resources only when needed
When we compare both in terms of services, Azure ML Studio wins the verdict since it has Classification, Regression, Anomaly Detection, Clustering, Recommendation, and Ranking features.
On the other hand, GCP Cloud AutoML has Clustering, Regression, and Recommendation features. Moreover, Azure has a drag and drop options that make the process easier to carry out.
This is something to spend some time on when you’re preparing responses to possible Azure interview questions. As a cloud architect, you need to show that you are a good listener and problem solver, as well as a good communicator. Yes, you need to know the technology, but cloud computing does not usually involve sitting isolated in a cubicle. You’ll have stakeholders to listen to, problems to solve, and options to present. When you answer questions like these, try to convey that you are a team player and a good communicator, in addition to being a really good Azure architect.
Scaling by including extra instances is frequently referred to as scaling out. Windows Azure likewise supports scaling up by utilizing bigger roles rather than more role instances.
By adding and expelling role instances to our Windows Azure application while it is running, we can adjust the execution of the application against its running costs.
An autoscaling solution reduces the amount of manual work engaged in dynamically scaling an application.
Windows Azure Table storage service stores a lot of organized information. Windows Azure tables are perfect for putting away organized, non-relational data.
Azure Queues give a solid, diligent messaging between and within the services. They also highlight a very straightforward rest-based get/put/peek interface.
Bus Queues are part of a more extensive Windows Azure messaging framework that supports queuing.
Windows Azure Diagnostics empowers you to gather diagnostic data from an application running in Windows Azure. Diagnostic data is used for capacity planning and evaluation.
* Web Role
* Worker Role
* Virtual Machine Role
Web Role: It gives a web solution that is front-end. This is like an ASP.NET application. While under facilitating, Azure gives IIS and required services.
Worker Role: It gives solutions for background service. It can run long activities.
Virtual Machine Role: The roles of both web and worker are executed on virtual machines. The Virtual Machine Roles give the client the capacity to modify the virtual machine on which the web and worker roles are running.
Any entity managed by Azure can be referred to as an Azure resource. The following are some examples of Azure resources: Storage accounts, virtual networks, virtual machines, etc.
Azure Data Lake is a cloud platform that supports Big Data Analytics through its unlimited storage for structured, semi-structured, or unstructured data of all types and sizes.
A cmdlet is a command which is utilized as a part of the Microsoft PowerShell environment. The cmdlet is called by the Windows PowerShell to automate the scripts which are in the command line.
Unconnected lookup the input ins take by the LKP operation. In this type of lookup method, User-defined values are disregarded in the unconnected lookups.
Command task is an operational window which set off the flow of either single or multiple common whiles when the system is running.
The main difference between them is that repository servers are instead of the integrity, consistency, and uniformity while powerhouse server governs the integration of different aspects of the database repository.
Verbose monitoring collects metrics based on performance. It allows a close analysis of data fed during the process of application.
On the other hand, minimal monitoring is a default configuration method. It makes the user of performance counters gathered from the operating system of the host.
Windows Azure Diagnostic offers the facility to store diagnostic data. In Azure, some diagnostics data is stored in the table, while some are stored in a blob. The diagnostic monitor runs in Windows Azure as well as in the computer’s emulator for collecting data for a role instance.
In, Microsoft Azure, all the technical problem is called break-fix issues. This term uses when “work involved in support a technology when it fails in the normal course of its function.
Traffic management offers many advantages for the user:
1. Increase the performance
2. No Downtime required for update or Maintenance
3. You can easily configure Azure Traffic manager on Windows Azure portal.
PaaS is a computing platform that includes an operating system, programming language execution environment, database, or web services. Developers and application providers use this type of Azure services.
Most important application of Microsoft Azure are:
Infrastructure Services, Mobile Apps, Web Applications, Cloud Services, Storage, Media Services, etc.
Roles are a very important concept in Windows Azure, and learning them is the base for further programming.
Three types of roles in Windows Azure are:
Web Role: It is used to deploy website by using langue which is supported by the IIS platform customized to run the web apps.
Worker Role: It helps you to execute the process that runs in the background.
VM Role: It helps you to schedule the windows services and task.
Azure is a cloud computing platform which was launched by Microsoft in Feb 2010. It is a highly flexible cloud platform that offers development, data storage, service hosting, and service management.
Cloud computing is a term referred to storing and accessing data over the internet. It doesn’t store any data on the hard disk of your personal computer. In cloud computing, you are allowed accessing data from a remote server.
Well, Azure provides a wide array of services that helps us to create any kind of web application and host them on Azure. Azure also provides a dedicated environment for validation purposes before actually releasing the application to the target audience. The creation and configuration of virtual machines have been simpler than ever in Azure.
Azure also provides various integration and sync features for virtual directories and virtual devices. Azure also provides extensive monitoring tools that help in collecting the metrics of your application to understand how well the application performs. With the feature of virtual hard drives, it has been possible to store massive amounts of data on the cloud.
With such amazing features offered by Azure and ever-growing demand by businesses to Azure, being an Azure certified professional opens up a path for a wide range of career opportunities like being an Azure Administrator, Azure Developer, Azure Solutions Architect, etc all providing amazing pay benefits.