70-535: Architecting Microsoft Azure Solutions certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.

Microsoft Azure Solutions Architect: 70-535 Training Course

Course Overview

This training course prepares IT professionals for the Microsoft Azure Architect 70-535 certification exam. It covers the design, implementation, and monitoring of Azure solutions. The course focuses on both theoretical knowledge and practical skills needed to architect cloud solutions effectively.

Participants gain a deep understanding of Azure services, including virtual machines, networking, storage, and security. They learn how to integrate these services into comprehensive cloud solutions that meet organizational requirements.

The course emphasizes real-world scenarios, helping learners apply architectural principles to practical challenges. By the end of the course, participants can design scalable, secure, and efficient Azure solutions.

Course Objectives

Understand the core components of Microsoft Azure
Learn to design and implement cloud infrastructure using Azure services
Develop skills for integrating compute, storage, and networking solutions
Master security, identity management, and governance in Azure environments
Prepare effectively for the Microsoft 70-535 certification exam

Who This Course Is For

This course is intended for IT professionals, cloud architects, and solution designers. It is ideal for those responsible for planning, designing, and implementing Azure solutions.

IT administrators moving into cloud architecture roles will benefit. Developers seeking a stronger understanding of cloud infrastructure will also find this course valuable.

Prerequisites and Requirements

Participants should have foundational knowledge of cloud computing. Familiarity with Microsoft Azure services and basic networking concepts is recommended. Experience with Windows Server, virtualization, and storage management is beneficial.

A general understanding of security principles, identity management, and application lifecycle is helpful. Knowledge of scripting or programming languages such as PowerShell or Python can enhance learning outcomes.

Introduction to Azure Architecture

Azure architecture involves designing cloud solutions that leverage Azure services effectively. Architects must consider scalability, availability, security, and cost optimization. Solutions should be resilient and handle changing business requirements.

The design process starts with understanding business needs and technical requirements. Architects evaluate existing infrastructure and plan migration strategies. They create blueprints for cloud deployments that meet both functional and non-functional requirements.

Azure Compute Services

Azure compute services provide the foundation for running applications in the cloud. Virtual Machines offer flexible computing power. App Services allow developers to deploy web applications quickly. Functions provide serverless computing capabilities for event-driven workloads.

Architects choose the right compute option based on performance, cost, and scalability requirements. Load balancing, autoscaling, and availability zones ensure optimal performance.

Azure Storage Solutions

Azure storage includes Blob Storage, File Storage, Queue Storage, and Table Storage. Architects select the appropriate storage solution based on access patterns, performance needs, and cost constraints.

Data redundancy and backup strategies are essential considerations. Azure offers locally redundant, geo-redundant, and zone-redundant storage. Architects plan data retention, recovery, and compliance with organizational policies.

Networking in Azure

Networking is a core component of Azure architecture. Virtual Networks allow secure communication between resources. Subnets, Network Security Groups, and Route Tables enable traffic segmentation and control.

Architects design networks for scalability, security, and connectivity. Integration with on-premises networks, VPNs, and ExpressRoute is often required. Understanding DNS, load balancing, and traffic management is crucial.

Security and Identity Management

Security is integral to every Azure solution. Azure Active Directory provides identity management and access control. Role-Based Access Control ensures users have appropriate permissions.

Architects implement encryption, threat protection, and compliance measures. Security best practices, multi-factor authentication, and monitoring tools ensure solutions are secure without compromising usability or performance.

Monitoring and Management

Azure provides tools to monitor and manage resources effectively. Azure Monitor and Log Analytics enable real-time insights into performance and availability. Alerts and automation help maintain system health.

Architects implement monitoring strategies to identify issues proactively. Effective management ensures resources are optimized, costs are controlled, and SLAs are met.

Designing for High Availability

High availability ensures services remain accessible even in case of failures. Architects consider redundancy, failover, and disaster recovery. Azure offers Availability Sets and Availability Zones for resiliency.

Load balancing and geographic distribution improve service resilience. Planning high availability requires understanding dependencies, SLAs, and potential failure points.

Cost Management and Optimization

Cost management is a critical part of Azure architecture. Architects design solutions that meet performance requirements while optimizing costs. Azure Cost Management and Pricing Calculator help plan budgets.

Efficient use of resources, scaling strategies, and selecting the right service tiers are key considerations. Architects monitor costs continuously and adjust deployments to avoid overspending.

Advanced Compute Architectures in Azure

Azure compute options include virtual machines, containers, and serverless solutions. Virtual machines provide flexible computing power for a variety of workloads. Containers enable lightweight, portable deployments using Docker or Kubernetes. Serverless computing allows event-driven execution without managing infrastructure. Architects evaluate performance, scalability, and cost before selecting compute options.

VM sizing is critical for cost efficiency. Choosing the right series based on CPU, memory, and storage ensures optimal performance. Autoscaling adjusts capacity based on demand, reducing waste and maintaining responsiveness. Load balancers distribute traffic across instances, ensuring high availability.

Container services include Azure Kubernetes Service and Azure Container Instances. Kubernetes orchestrates containerized applications, providing automated deployment, scaling, and management. Architects design clusters considering node sizing, networking, storage integration, and security policies. Serverless applications with Azure Functions support microservices architectures and real-time data processing. Triggers can be HTTP requests, timers, or messaging events. Serverless reduces operational overhead but requires careful monitoring to avoid scaling bottlenecks.

Virtual Machine Optimization

Optimizing virtual machines involves selecting the appropriate OS image, instance size, and storage type. Linux and Windows offer different management tools, licensing considerations, and performance profiles. Disk types affect IOPS and latency; premium SSDs provide high throughput for critical workloads. Architects configure VM availability with availability sets or zones to prevent single points of failure.

Resource tagging is essential for cost management and governance. VMs should be monitored continuously using Azure Monitor to detect performance bottlenecks or failures. Backup strategies using Azure Backup or snapshots ensure data protection and rapid recovery.

Azure Storage Deep Dive

Azure provides multiple storage options for structured, semi-structured, and unstructured data. Blob Storage handles unstructured data like media files, logs, and backups. File Storage offers fully managed SMB shares for legacy applications. Table Storage provides NoSQL key-value storage for rapid queries. Queue Storage supports messaging between components.

Architects must evaluate performance, durability, and access patterns. Geo-redundant storage ensures data durability across regions, while zone-redundant storage protects against datacenter failures. Backup and disaster recovery strategies must comply with SLAs and regulatory requirements. Storage optimization includes lifecycle policies, tiered storage, caching, and partitioning strategies.

Managed Disks simplify VM storage management by providing automated replication, snapshot capabilities, and simplified scaling. Architects design disk layouts for optimal IOPS and throughput. Storage security is enforced using encryption at rest, network isolation, and role-based access control.

Networking Architectures in Azure

Networking forms the backbone of any Azure deployment. Virtual Networks provide isolated environments for resources. Subnets segment workloads to control traffic flow. Network Security Groups define inbound and outbound rules. Architects must plan VNets for scalability, resilience, and secure integration with on-premises networks.

Hybrid connectivity uses VPNs or ExpressRoute for private, high-speed links. Load balancers distribute traffic efficiently across multiple instances. Azure Traffic Manager provides DNS-based traffic routing to achieve geographic load balancing. Architects also configure Application Gateways for web traffic optimization and security.

Advanced Security and Identity Management

Security in Azure encompasses identity, data protection, threat mitigation, and compliance. Azure Active Directory provides identity management and single sign-on capabilities. Role-Based Access Control ensures granular permissions for users and applications.

Architects implement encryption at rest and in transit. Multi-factor authentication reduces risk of compromised credentials. Azure Security Center monitors security posture, detects threats, and provides remediation guidance. Network isolation, private endpoints, and conditional access policies protect sensitive data. Designing secure architectures also involves threat modeling and vulnerability assessments.

Monitoring, Management, and Automation

Azure Monitor, Log Analytics, and Application Insights provide telemetry for performance, availability, and usage. Alerts notify administrators of abnormal behavior, while automated actions reduce downtime.

Automation through Azure Automation or Logic Apps streamlines repetitive tasks, including patching, scaling, and compliance reporting. Architects implement monitoring and management strategies that align with operational policies and SLA commitments. Continuous improvement relies on analyzing logs, performance trends, and user behavior to optimize resources.

Designing for High Availability and Disaster Recovery

High availability ensures services remain operational during component failures. Architects use Availability Sets, Availability Zones, and redundant load balancers to design resilient systems. Geographic replication supports disaster recovery scenarios.

Disaster recovery planning includes Recovery Time Objectives and Recovery Point Objectives. Azure Site Recovery replicates workloads to secondary regions for rapid failover. Architects must validate DR plans with periodic testing and update them to reflect evolving business needs.

Cost Management and Optimization

Cost control is integral to sustainable cloud architecture. Architects design solutions that balance performance, scalability, and expense. Azure Cost Management and Pricing Calculator provide visibility into consumption.

Strategies include selecting the right VM size, optimizing storage tiers, using reserved instances, and employing autoscaling to minimize wasted resources. Continuous cost monitoring helps detect overspending and adjust deployments proactively. Tagging resources improves accountability and reporting for cost allocation.

Designing Scalable Applications

Scalability ensures applications handle varying loads efficiently. Horizontal scaling adds additional instances, while vertical scaling increases resources on existing instances. Architects design architectures to support both types of scaling depending on workload characteristics.

Stateless application designs simplify scaling. Caching strategies, including Azure Cache for Redis, reduce database load and improve response times. Message queues decouple components to allow asynchronous processing and better scalability.

Azure Governance and Compliance

Governance ensures that cloud resources align with organizational policies. Azure Policy enforces rules on resource configuration and deployment. Role-Based Access Control defines access to resources based on responsibilities.

Compliance involves meeting regulatory requirements such as GDPR, HIPAA, and ISO standards. Architects design architectures with logging, auditing, and data retention policies to maintain compliance. Monitoring and reporting ensure ongoing adherence to governance frameworks.

Designing Hybrid and Multi-Cloud Solutions

Hybrid solutions integrate on-premises infrastructure with Azure services. Azure Arc enables management of on-premises servers and Kubernetes clusters through Azure. Architects design connectivity, identity management, and data integration strategies to maintain seamless hybrid operations.

Multi-cloud strategies leverage services from different providers for redundancy, performance, or cost benefits. Architects must plan integration, security, monitoring, and data governance across environments.

Advanced Identity and Access Patterns

Managing identities in complex environments requires advanced strategies. Conditional access allows dynamic authentication policies based on user location, device state, or risk level. Privileged Identity Management provides temporary administrative access to reduce security risks.

Federated identity solutions integrate with on-premises directories or other cloud providers to provide seamless access across multiple systems. Monitoring access patterns and auditing identity usage ensures security compliance and reduces risk of breaches.

Application Architecture Patterns

Designing cloud applications requires adopting patterns such as microservices, event-driven architectures, and serverless workflows. Microservices enable independent deployment and scaling of application components. Event-driven architectures allow real-time processing of messages and events.

Architects leverage Azure Service Bus, Event Grid, and Event Hubs to implement messaging patterns. Application design considers resiliency, fault tolerance, and decoupling to achieve high availability and maintainability.

Security and Threat Modeling

Threat modeling identifies potential vulnerabilities and attack vectors. Architects consider data sensitivity, network exposure, and identity management. Security measures include encryption, network segmentation, logging, monitoring, and automated response strategies.

Implementing defense-in-depth ensures multiple layers of protection, including perimeter security, network controls, identity verification, and application-level security. Regular security assessments and penetration testing are integral to maintaining a robust architecture.

Advanced Storage and Data Management

Data storage solutions include relational databases, NoSQL stores, data lakes, and analytics platforms. Azure SQL Database, Cosmos DB, and Data Lake Storage provide various capabilities for structured and unstructured data. Architects design storage solutions for performance, reliability, and cost optimization.

Data replication strategies ensure durability and availability. Data partitioning, indexing, and caching improve query performance. Data lifecycle management automates tiering, archiving, and deletion to optimize costs.

Automation, DevOps, and CI/CD Integration

Architects integrate Azure DevOps, GitHub Actions, and pipelines to automate build, test, and deployment processes. Continuous Integration and Continuous Deployment ensure rapid, reliable, and repeatable deployments.

Infrastructure as Code using ARM templates, Terraform, or Bicep enables version control and reproducible environments. Automation reduces human error, enforces compliance, and accelerates delivery of cloud solutions.

Monitoring Performance and Optimizing Workloads

Architects use Azure Monitor, Application Insights, and Log Analytics to track performance metrics, latency, and resource utilization. Bottlenecks are identified and addressed proactively.

Auto-scaling, caching, and workload distribution optimize resource usage. Monitoring enables predictive analysis to anticipate growth or changing usage patterns. Performance optimization ensures high-quality user experience while minimizing operational costs.

Disaster Recovery Strategies

Disaster recovery includes active-passive, active-active, and geo-redundant architectures. Azure Site Recovery automates replication and failover. Recovery testing ensures plans meet business requirements.

Architects define Recovery Point Objectives and Recovery Time Objectives for each workload. Strategies include replication, snapshots, backups, and cloud-to-cloud failover. Disaster recovery planning reduces downtime, data loss, and business disruption.

Designing Secure, Scalable, and Cost-Efficient Solutions

Combining compute, storage, networking, security, and monitoring creates holistic cloud solutions. Architects balance performance, security, availability, and cost.

Designing with modularity, resilience, and automation ensures solutions can adapt to business changes. Security policies, identity management, and compliance measures protect sensitive data. Continuous monitoring and optimization maintain cost efficiency and performance.

Azure Virtual Network Design

Virtual Networks form the backbone of cloud infrastructure. Architects design VNets to provide secure communication between resources. Subnets organize resources logically and control network traffic. Network Security Groups enforce inbound and outbound access rules. Architects plan VNets to scale with workloads and maintain isolation where needed.

Hybrid networking connects on-premises environments with Azure through VPNs or ExpressRoute. Architects evaluate latency, throughput, and security requirements to determine connectivity strategies. Peering VNets enables communication between Azure networks without exposing traffic to the internet. Traffic routing and DNS configuration ensure reliable and efficient network traffic management.

Load Balancing Strategies

Load balancing distributes traffic across multiple compute instances to ensure high availability. Azure provides different load balancing options, including Azure Load Balancer, Application Gateway, and Traffic Manager. Architects select the appropriate load balancer based on workload type, geographic distribution, and performance requirements.

Azure Load Balancer handles network-level load balancing for TCP/UDP traffic. Application Gateway provides layer-7 routing for web applications, SSL termination, and web application firewall capabilities. Traffic Manager uses DNS-based routing to distribute traffic globally based on latency, priority, or geographic location. Proper configuration ensures resilience, fault tolerance, and optimal resource utilization.

Designing Highly Available Applications

High availability is essential for enterprise-grade cloud solutions. Architects design applications with redundancy, failover, and disaster recovery strategies. Azure Availability Sets and Availability Zones protect VMs against hardware and datacenter failures.

Stateless application designs simplify scaling and failover. Caching layers and message queues decouple components and improve performance under load. Architects plan database replication, data backup strategies, and monitoring to ensure continuous availability. Understanding SLAs and potential failure scenarios guides architecture decisions.

Azure Identity and Access Management

Identity management is a cornerstone of cloud security. Azure Active Directory provides authentication, authorization, and single sign-on capabilities. Role-Based Access Control enforces the principle of least privilege.

Advanced identity strategies include conditional access policies, multi-factor authentication, and Privileged Identity Management for temporary administrative access. Federated identities enable integration with on-premises directories or other cloud providers. Monitoring user access patterns and auditing identity activity reduces risk and ensures compliance.

Security Architecture and Threat Protection

Architects design solutions with defense-in-depth principles. Security layers include network isolation, encryption, identity verification, and monitoring. Azure Security Center provides recommendations, threat detection, and automated responses.

Encryption protects data at rest and in transit. Architects implement firewalls, private endpoints, and virtual network segmentation. Threat modeling identifies vulnerabilities and mitigates risks proactively. Regular security assessments, penetration testing, and monitoring ensure ongoing protection of cloud assets.

Azure Storage Architecture

Storage solutions must meet performance, availability, and durability requirements. Azure Blob Storage, File Storage, Queue Storage, Table Storage, Cosmos DB, and Data Lake Storage support a variety of workloads. Architects select storage types based on access patterns, latency requirements, and cost considerations.

Data replication strategies ensure durability across regions. Zone-redundant storage protects against datacenter failures, while geo-redundant storage protects against regional disasters. Managed Disks simplify VM storage management and provide high-performance options. Lifecycle management automates tiering, archiving, and deletion to optimize storage costs.

Data Security and Compliance

Data security involves encryption, access control, monitoring, and auditing. Azure provides tools to implement encryption at rest, encryption in transit, and secure key management using Azure Key Vault.

Compliance with regulations like GDPR, HIPAA, and ISO standards is critical. Architects implement policies, logging, and monitoring to maintain compliance. Periodic audits ensure adherence to governance frameworks. Role-based access and network isolation protect sensitive information and prevent unauthorized access.

Monitoring and Logging Best Practices

Monitoring ensures system health, performance, and availability. Azure Monitor, Log Analytics, and Application Insights provide telemetry for workloads. Architects implement alerting, automated remediation, and reporting to maintain operational efficiency.

Monitoring strategies include resource utilization tracking, application performance metrics, and infrastructure logs. Automated scaling, proactive remediation, and predictive analytics help optimize resources and reduce downtime. Log retention policies and structured logging enable troubleshooting and compliance reporting.

Disaster Recovery and Business Continuity

Disaster recovery ensures applications and data are resilient to failures. Azure Site Recovery replicates workloads to secondary regions for rapid failover. Architects plan RPOs and RTOs for each workload.

DR strategies include active-passive, active-active, and geo-redundant architectures. Regular testing validates failover processes. Backup strategies complement DR planning, ensuring data durability and quick recovery in case of incidents. Disaster recovery planning reduces business disruption and ensures service continuity.

Designing Scalable Applications

Scalability supports growth and variable workloads. Horizontal scaling adds instances, while vertical scaling increases resource capacity. Stateless application design enables easy scaling.

Caching strategies using Azure Cache for Redis reduce database load and improve performance. Message queues and event-driven architectures decouple components to allow asynchronous processing. Autoscaling rules adjust resources automatically based on demand, ensuring efficiency and cost control.

Implementing Serverless Architectures

Serverless computing allows architects to build scalable applications without managing infrastructure. Azure Functions and Logic Apps support event-driven processing. Serverless reduces operational overhead but requires careful planning of triggers, dependencies, and performance constraints.

Design considerations include execution time, concurrency, and integration with other services like Azure Storage, Event Grid, and Service Bus. Serverless architectures are ideal for microservices, real-time processing, and workflows requiring dynamic scaling.

DevOps and Continuous Integration/Continuous Deployment

Integrating DevOps practices ensures consistent, repeatable, and automated deployments. Azure DevOps and GitHub Actions provide CI/CD pipelines to build, test, and deploy applications. Infrastructure as Code using ARM templates, Terraform, or Bicep ensures version-controlled and reproducible environments.

Automation reduces human error, enforces compliance, and accelerates delivery. Architects design pipelines that integrate testing, approval workflows, and monitoring to ensure reliable deployments. Continuous feedback loops optimize performance, security, and cost-efficiency.

Application Architecture Patterns

Architects use patterns like microservices, event-driven, and layered architectures to improve scalability, maintainability, and resilience. Microservices allow independent deployment and scaling of components. Event-driven patterns process messages and events asynchronously for real-time processing.

Service Bus, Event Grid, and Event Hubs facilitate messaging and event-driven workflows. Layered architectures separate concerns such as presentation, business logic, and data access. Selecting appropriate patterns ensures performance, reliability, and flexibility in cloud solutions.

Cost Optimization Strategies

Architects optimize costs while maintaining performance. Reserved instances, spot instances, and autoscaling help reduce compute expenses. Storage tiering, lifecycle management, and caching optimize storage costs.

Continuous monitoring of resource consumption identifies inefficiencies. Tagging resources enables tracking and reporting of cost centers. Architects implement budget alerts and optimization strategies to prevent overspending.

Hybrid Cloud Design

Hybrid cloud integrates on-premises infrastructure with Azure services. Azure Arc and VPN/ExpressRoute connectivity enable unified management. Architects design hybrid solutions considering identity, network, and data integration.

Data synchronization, latency management, and security policies are critical for seamless hybrid operations. Hybrid strategies enable organizations to leverage cloud benefits while maintaining control over sensitive on-premises resources.

Multi-Region Architecture

Deploying workloads across multiple regions improves availability, performance, and disaster resilience. Architects consider replication, latency, and data sovereignty. Global load balancing distributes traffic to the nearest region for optimal response times.

Cross-region replication ensures continuity in case of regional outages. Architects design replication strategies for databases, storage, and application components while balancing consistency, latency, and cost.

Governance and Policy Implementation

Governance ensures cloud resources comply with organizational policies. Azure Policy enforces configuration standards and security requirements. RBAC controls access and enforces least privilege.

Auditing, logging, and reporting maintain accountability and compliance. Policies define acceptable resource types, locations, and security configurations. Continuous evaluation ensures resources remain compliant as deployments scale.

Identity Federation and Access Management

Federated identity enables integration with external identity providers. Architects implement single sign-on across cloud and on-premises systems. Conditional access enforces authentication based on device, location, or risk level.

Privileged Identity Management grants temporary administrative access. Monitoring identity usage, reviewing access patterns, and auditing help mitigate risks. Secure identity design supports regulatory compliance and reduces potential breaches.

Advanced Security Controls

Defense-in-depth incorporates multiple layers of security. Architects combine perimeter controls, identity protection, encryption, and monitoring. Threat detection and automated response prevent incidents before they escalate.

Network segmentation, firewalls, DDoS protection, and secure connectivity safeguard workloads. Security Center and Sentinel provide real-time analysis, alerting, and remediation guidance. Continuous evaluation ensures evolving threats are addressed proactively.

Data Architecture and Analytics

Data architecture includes relational databases, NoSQL stores, data lakes, and analytics platforms. Azure SQL Database, Cosmos DB, and Data Lake Storage support diverse workloads. Architects design storage, processing, and querying for scalability, performance, and cost efficiency.

Data pipelines, ETL processes, and analytics integration enable insights from structured and unstructured data. Partitioning, indexing, caching, and replication strategies optimize performance and reliability.

Monitoring and Optimization

Architects continuously monitor workloads for performance, cost, and security. Application Insights, Log Analytics, and Azure Monitor provide actionable insights. Proactive tuning improves resource utilization and user experience.

Autoscaling, caching, and workload distribution optimize performance. Monitoring trends enables predictive scaling and early detection of issues. Optimization ensures cloud solutions remain cost-effective and resilient.

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