Core Solutions and Management Tools - 10-15% Flashcards
What is Azure IoT? What IoT services does Azure provide?
Azure Internet of Things is the ability for devices to garner and then relay information for data analysis.
Azure IoT Central is a fully managed global IoT SaaS solution that makes it easy to connect, monitor, and manage IoT assets at scale.
Azure IoT Hub is a managed service hosted in the cloud that acts as a central message hub for bi-directional communication between IoT applications and the devices it manages.
Azure Sphere is a secured, high-level application platform with built-in communication and security features for internet-connected devices.
What are the big data and analytic services?
Azure Synapse Analytics
a cloud-based Enterprise Data Warehouse.
Azure HDInsight
a fully managed, open-source analytics service for enterprises.
Azure Databricks
Apache Spark based analytics service.
What are the AI and Machine Learning services?
Azure Machine learning:
cloud-based to develop, train, and deploy machine learning models.
Cognitive Services: quickly enable apps to see, hear, speak, understand, and interpret a user’s need.
Azure Bot service: develop intelligent, enterprise-grade bots.
What are the Server-less Computing applications?
Azure Functions
event based code running your service and the underlying infrastructure
Azure Logic apps
cloud service to automate and orchestrate tasks, business processes, and workflows to integrate apps.
What are the Azure DevOps and Github tools?
- Azure DevOps: development collaboration tools including pipelines, Kanband boards, and automated cloud-based testing.
- GitHub: software developing hosting with version control, source code management, and bug/task management.
- GitHub Actions for Azure: automate software workflow to build, test, and deploy from withing GitHub.
- Azure DevTest Labs: quickly create environments in Azure while minimizing waste and controlling cost.
Azure Management Tools - Objective Domain
Describe the functionality and usage of:
• Azure Portal, Azure PowerShell, Azure CLI, Cloud Shell, and Azure Mobile App.
• Azure Advisor.
• Azure Resource Manager (ARM) templates.
• Azure Monitor.
• Azure Service Health.
What are the management tools available in Azure?
Azure Portal Azure Mobile App Azure REST API Azure PowerShell Command-Line Interface(CLI) Azure Cloud Shell
- all under Azure Resource Manager(ARM)
What is the Azure Advisor?
Azure Advisor analyzes deployed Azure resources and makes recommendations based on best practices to optimize Azure deployments.
- Reliability
- Security
- Performance
- Cost
- Operational Excellence
What is the Azure monitor and its features?
Azure Monitor maximizes the availability and performance of applications and services by collecting, analyzing, and acting on telemetry from cloud and on-premises environments. • Application Insights • Log Analytics • Smart Alerts • Automation Actions • Customized Dashboards
What is Azure Service Health?
Evaluate the impact of Azure service issues with personalized guidance and support, notifications, and issue resolution updates.
Azure Service Health provides a personalized view of the health of Azure services and the regions being used.
• Communication regarding outages
• Planned maintenance
• Other health advisories
What are Azure Resource Manager(ARM) templates?
Azure Resource Manager (ARM) templates are JavaScript Object Notation (JSON) files that can be used to create and deploy Azure infrastructure without having to write programming commands. • Declarative syntax • Repeatable results • Orchestration • Modular files • Built-in validation • Exportable code
Knowledge Check- Your company has multiple web properties that a customer can reach you. You would like to create a common set of code that each of them can use to create a lead in your customer database. Which service Azure App Service app would you use? a) Azure Web App b) Azure Mobile App c) Azure API App d) Web Apps for Containers
a) Azure API App
Azure API Apps are designed to expose functionality as an application programming interface or API. APIs allow multiple clients to use the same code base using common protocols such as HTTP and HTTPs.
Knowledge Check-Which service below is NOT considered a feature of Azure serverless computing?
a) Azure Machine Learning
b) Azure Functions
c) Azure Logic Apps
d) Azure Event Grid
a) Azure Machine Learning
Azure Machine Learning service provides a cloud-based environment you can use to develop, train, test, deploy, manage, and track machine learning models. Azure Machine Learning service can auto-generate a model and auto-tune it for you. It will let you start training on your local machine, and then scale out to the cloud. When you have the right model, you can easily deploy it in a container such as Docker in Azure.