Microsoft Azure Solutions Architect Certification Training (AZ 300 – 301)

About Microsoft Solutions Architect-Expert Certification and Training

At our Institute, you will get hands-on experience because our trainers are certified themselves and having 10 to 12 real-time experience in this field. Our course is designed to crack the exam Microsoft Solutions Architect-Expert Exam AZ-300 and AZ-301. An entry-level architect will earn Rs. 7, 50,000 and an experienced employee will earn Rs. 13, 00,000.

Besant Technologies helps our students to master in these following sub mains of Microsoft Solutions Architect-Experts. Those are Azure Portals, Create and Test Virtual Machine, Configure a Virtual Machine for availability, Monitor a Virtual Machine, Working with ARM templates, Deploy a Linux VM, Create a baseline for resources and Monitor and manage Azure costs. We provide 24*7 online supports with mentoring sessions.

Microsoft Azure Solutions Architect Design AZ301 Syllabus

Module 1:

Managing Security & Identity for Azure Solutions This module discusses both security and identity within the context of Azure. For security, this module reviews the various options for monitoring security, the options available for securing data, and the options for securing application secrets. For identity, this module focuses specifically on Azure Active Directory (Azure AD) and the various features available such as Multi-Factor Authentication (MFA), Managed Service Identity, Azure AD Connect, ADFS and Azure AD B2B/B2C.

• Lab: Securing Secrets in Azure After completing this module, students will be able to:
• Integrate their existing solutions with external identity providers using Azure AD B2B or B2C.
• Design a hybrid identity solution.
• Determine when to use advanced features of Azure AD such as Managed Service Identity, MFA, and Privileged Identity Management.
• Secure application secrets using Key Vault.
• Secure application data using SQL Database and Azure Storage feature.

Module 2:

Integrating SaaS Services Available on the Azure Platform This module introduces multiple SaaS services available in Azure that are available for integration into existing Azure solutions. These services include Cognitive Services, Bot Service, Machine Learning, and Media Services

• Lab: Deploying Service Instances as Components of Overall Azure Solutions After completing this module, students will be able to:
• Detail the various APIs available in Cognitive Services.
• Identify when to use the Face API, Speech API or Language Understanding (LUIS) service.

Module 3:

Backing Azure Solutions with Azure Storage This module describes how many Azure services use the Azure Storage service as a backing store for other application solution in Azure. The module dives into critical considerations when using Azure Storage as a supplemental service for an all-up Azure solution. After completing this module, students will be able to:

• Determine the ideal pricing option for Azure Storage based on a solution’s requirements.
• Identify performance thresholds for the Azure Storage service.
• Determine the type of Storage blobs to use for specific solution components.
• Use the Azure Files service for SMB operations.
• Identify solutions that could benefit from the use of StorSimple physical or virtual devices.

Module 4:

Comparing Database Options in Azure This module compares the various relational and non-relational data storage options available in Azure. Options are explored as groups such as relational databases (Azure SQL Database, MySQL, and PostgreSQL on Azure), non-relational (Azure Cosmos DB, Storage Tables), streaming (Stream Analytics) and storage (Data Factory, Data Warehouse, Data Lake)

• Lab: Deploying Database Instances in Azure After completing this module, students will be able to:
• Compare and contrast monitoring services for applications, the Azure platform, and networking.
• Identify data streaming options for large-scale data ingest.
• Identify longer-term data storage options.

Module 5:

Monitoring & Automating Azure Solutions This module covers the monitoring and automation solutions available after an Azure solution has been architected, designed and possibly deployed. The module reviews services that are used to monitor individual applications, the Azure platform, and networked components. This module also covers automation and backup options to enable business-continuity scenarios for solutions hosted in Azure.

• Lab: Deploying Configuration Management Solutions to Azure After completing this module, students will be able to:
• Compare and contrast monitoring services for applications, the Azure platform, and networking.
• Design an alert scheme for a solution hosted in Azure.
• Select the appropriate backup option for infrastructure and data hosted in Azure.
• Automate the deployment of future resources for backup recovery or scaling purposes.

Module 6:

Deploying Resources with Azure Resource Manager This module establishes a basic understanding of the Azure Resource Manager and the core concepts of deployments, resources, templates, resource groups, and tags. The module will dive deeply into the automated deployment of resources using ARM templates.

• Lab: Deploying Resources with Azure Resource Manager After completing this module, students will be able to:
• Create a resource group.
• Add resources to a resource group. Deploy an ARM template to a resource group.
• Filter resources using tags.
• Author a complex deployment using the Azure Building Blocks tools.

Module 7:

Creating Managed Server Applications in Azure This module describes how solutions can leverage serverless application hosting services in Azure to host web applications, REST APIs, integration workflows, and HPC workloads without the requirement to manage specific server resources. The module focuses on App Services-related components such as Web Apps, API Apps, Mobile Apps, Logic Apps, and Functions.

• Lab: Deploying Managed Containerized Workloads to Azure After completing this module, students will be able to:
• Select between hosting application code or containers in an App Service instance.
• Describe the differences between API, Mobile, and Web Apps.
• Integrate an API or Logic App with the API Management service.
• Design an App Service Plan or multi-region deployment for high performance and scale.

Module 8:

Authoring Serverless Applications in Azure This module describes how solutions can leverage serverless application hosting services in Azure to host web applications, REST APIs, integration workflows, and HPC workloads without the requirement to manage specific server resources. The module focuses on App Services-related components such as Web Apps, API Apps, Mobile Apps, Logic Apps, and Functions.

• Lab: Deploying Serverless Workloads to Azure After completing this module, students will be able to:
• Select between hosting application code or containers in an App Service instance.
• Describe the differences between API, Mobile, and Web Apps.
• Integrate an API or Logic App with the API Management service.
• Design an App Service Plan or multi-region deployment for high performance and scale.

Module 9:

Application Architecture Patterns in Azure This module introduces and reviews common Azure patterns and architectures as prescribed by the Microsoft Patterns & Practices team. Each pattern is grouped into performance, resiliency, and scalability categories and described in the context of similar patterns within the category. After completing this module, students will be able to:

• Locate and reference the Cloud Design Patterns documentation.
• Locate and reference the Azure Architecture Center.
• Describe various patterns pulled from the Cloud Design Patterns.

Module 10:

Building Azure IaaS-Based Server Applications (ADSK) This module identifies workloads that are ideally deployed using Infrastructure-as-a service services in Azure. The module focuses on the VM Scale Sets and Virtual Machine services in Azure and how to best deploy workloads to these services using best practices and features such as Availability Sets.

• Lab: Building Azure IaaS-Based Server Applications. After completing this module, students will be able to:
• Design an availability set for one or more virtual machines.
• Describe the differences between fault and update domains.
• Author a VM Scale Set ARM template.
• Join a virtualized machine to a domain either in Azure or on a hybrid network.

Module 11:

Networking Azure Application Components This module describes the various networking and connectivity options available for solutions deployed on Azure. The module explores connectivity options ranging from ad-hoc connections to long-term hybrid connectivity scenarios. The module also discusses some of the performance and security concerns related to balancing workloads across multiple compute instances, connecting on-premise infrastructure to the cloud, and creating gateways for on-premise data.

• Lab: Deploying Network Infrastructure for Use in Azure Solutions After completing this module, students will be able to:
• Describe DNS and IP strategies for VNETs in Azure.
• Compare connectivity options for ad-hoc and hybrid connectivity.
• Distribute network traffic across multiple loads using load balancers.
• Design a hybrid connectivity scenario between cloud and on-premise.

Module 12:

Integrating Azure Solution Components Using Messaging Services This module describes and compares the integration and messaging services available for solutions hosted on the Azure platform. Messaging services described include Azure Storage Queues, Service Bus Queues, Service Bus Relay, IoT Hubs, Event Hubs, and Notification Hubs. Integration services include Azure Functions and Logic Apps.

• Lab: Integrating Azure Solution Components using Messaging Services After completing this module, students will be able to:
• Compare Storage Queues to Service Bus Queues.
• Identify when to use Azure Functions or Logic Apps for integration components in a solution.
• Describe the differences between IoT Hubs, Event Hubs, and Time Series Insights.

Upcoming Batch Schedule for Microsoft Solutions Architect-Expert Certification Course

Besant Technologies provides flexible timings to all our students. Here is the Microsoft Solutions Architect Expert Certification Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

• 25-11-2024 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
• 21-11-2024 Thu (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
• 23-11-2024 Sat (Sat - Sun)Weekend Batch 11:00 AM (IST) (Class 3Hrs) / Per Session Get Fees

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Trainer Profile of Microsoft Azure Solutions Architect Certification Training

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.

• More than 7+ Years of Experience.
• Trained more than 2000+ students in a year.
• Strong Theoretical & Practical Knowledge.
• Certified Professionals with High Grade.
• Well connected with Hiring HRs in multinational companies.
• Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
• Trainers have Experienced on multiple real-time projects in their Industries.
• Our Trainers are working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies etc

Microsoft Azure Solutions Architect Certification & Exams

Besant Technologies Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our certification at Besant Technologies is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.

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