70-487: MCSD Developing Windows Azure and Web Services 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.

Mastering Azure and Web Services Development: Microsoft 70-487 Training

Course Overview

This course provides in-depth knowledge and practical skills for developing applications and services on Microsoft Azure. Participants will learn how to design, build, and deploy cloud-based solutions using Azure services and web technologies. The training focuses on real-world scenarios, ensuring learners gain hands-on experience that aligns with the Microsoft 70-487 exam objectives.

Learners will explore how to implement Azure compute solutions, manage data storage, secure applications, and integrate cloud services. The course emphasizes best practices, performance optimization, and scalability. Students will develop the ability to create robust, cloud-ready applications that meet modern enterprise requirements.

Learning Objectives

Upon completion, participants will be able to design and implement Azure solutions. They will understand how to manage application security, optimize performance, and integrate with other cloud services. Learners will gain expertise in using Azure Resource Manager templates, Web APIs, and microservices architecture. They will also acquire skills in monitoring, troubleshooting, and automating cloud-based workflows.

Course Modules

Introduction to Microsoft Azure

This module introduces the Azure platform, its global infrastructure, and core services. Participants will learn the fundamentals of cloud computing and how Azure supports various application types. They will explore Azure subscription management, resource groups, and service tiers. The module covers cost management, scalability options, and governance models, ensuring learners can plan efficient and compliant cloud deployments.

Developing Azure Compute Solutions

Students will learn to implement Azure compute services, including virtual machines, App Services, and Azure Functions. The focus will be on selecting appropriate compute models based on workload requirements. Participants will explore service deployment strategies, configuration management, and monitoring. They will also learn to automate deployments using Azure Resource Manager templates and integrate compute services with other Azure offerings.

Implementing Azure Storage Solutions

This module covers data storage options in Azure, including Blob Storage, Table Storage, and SQL Database. Participants will learn how to design scalable and secure storage solutions. They will understand data redundancy, replication strategies, and performance optimization. The module also explores managing access, encryption, and data lifecycle policies, ensuring applications can store and retrieve data efficiently.

Developing Secure Cloud Solutions

Security is a key aspect of cloud application development. Participants will explore authentication, authorization, and identity management using Azure Active Directory. They will learn to implement role-based access control, secure APIs, and protect sensitive data. The module also covers security best practices for data in transit and at rest, ensuring compliance with industry standards and organizational policies.

Integrating Azure Services

This module teaches how to connect and integrate multiple Azure services. Participants will explore service bus, Event Grid, Logic Apps, and API Management. They will learn to design event-driven and message-based architectures. The module emphasizes real-time data processing, service orchestration, and workflow automation. Learners will gain practical experience integrating web services, microservices, and serverless solutions for complex enterprise scenarios.

Implementing Web APIs

Participants will develop RESTful services using ASP.NET Web API and Azure App Services. The module covers designing scalable APIs, managing routing, and implementing versioning. Students will learn to handle security, throttling, and error management. They will also explore API documentation, testing, and monitoring, ensuring APIs are maintainable, efficient, and secure.

Monitoring and Optimizing Applications

Effective monitoring is critical for high-performing applications. Participants will learn to use Azure Monitor, Application Insights, and Log Analytics. They will understand how to track performance metrics, detect issues, and optimize resource usage. The module covers automated scaling, load balancing, and performance tuning. Learners will gain skills to ensure applications are reliable, resilient, and cost-efficient.

Troubleshooting and Debugging

This module equips students with techniques to identify and resolve issues in cloud applications. They will learn to diagnose runtime errors, network problems, and performance bottlenecks. The module emphasizes logging, diagnostics, and telemetry. Participants will also explore proactive problem-solving strategies to prevent application downtime and improve overall system stability.

Advanced Azure Development Techniques

Participants will explore advanced topics such as microservices architecture, containerization with Docker, and orchestration using Kubernetes. They will learn to implement serverless patterns, message-based communication, and distributed applications. The module emphasizes scalability, maintainability, and fault tolerance. Learners will gain the skills to design modern cloud-native applications that leverage the full power of Azure services.

Preparing for the Microsoft 70-487 Exam

This final module focuses on exam readiness. Participants will review core concepts, practice scenario-based questions, and learn test-taking strategies. The module emphasizes understanding service interactions, troubleshooting approaches, and performance optimization techniques. Learners will gain confidence to pass the Microsoft 70-487 exam and apply their knowledge to real-world Azure development projects.

Course Requirements

Students should have foundational knowledge of C# programming and experience with ASP.NET or web development frameworks. Familiarity with databases, networking, and cloud computing concepts is recommended. Basic understanding of RESTful services, JSON, and HTTP protocols will help learners grasp advanced topics more quickly.

Course Description

This course offers a complete roadmap for mastering Azure and web services development. Through lectures, labs, and hands-on exercises, learners will gain practical skills in cloud computing, data storage, security, and service integration. The training emphasizes modern development practices, including serverless architecture, microservices, and API management.

Students will develop the ability to create scalable, secure, and high-performing applications. They will also acquire knowledge to optimize costs, monitor performance, and troubleshoot issues effectively. The course prepares learners for the Microsoft 70-487 exam while equipping them with skills applicable to real-world projects.

Who This Course Is For

This training is ideal for software developers, cloud engineers, and IT professionals who want to specialize in Azure application development. It suits those preparing for Microsoft certification as well as developers seeking to enhance their cloud development expertise. Participants will benefit from practical experience, exam-focused preparation, and exposure to advanced development techniques used in enterprise environments.

Hands-On Labs

Hands-on labs are integrated throughout the course. Learners will deploy virtual machines, configure storage accounts, and implement APIs on Azure. They will practice securing applications, automating workflows, and monitoring performance. Labs provide a realistic development environment that reinforces theoretical knowledge and enhances problem-solving skills.

Real-World Scenarios

The course emphasizes real-world applications. Participants will work on projects simulating enterprise scenarios. They will design multi-tier applications, integrate cloud services, and handle security challenges. Scenarios help learners understand the practical implications of their decisions and develop solutions that meet business requirements.

Course Outcomes

By the end of the course, participants will have a comprehensive understanding of Azure and web services development. They will be able to design, implement, and manage cloud solutions effectively. Skills gained include building APIs, integrating services, securing applications, optimizing performance, and troubleshooting issues. Graduates will be fully prepared for the Microsoft 70-487 exam and cloud development roles in professional settings.

Azure Resource Management and Deployment

Effective management of Azure resources is critical for scalable and maintainable applications. Participants will learn to use Azure Resource Manager templates to automate deployment and configuration of resources. Templates enable consistent, repeatable deployments across environments. Students will explore parameterization, modular template design, and linking resources efficiently. They will also learn to manage deployment slots for App Services, allowing seamless updates without downtime. Understanding role-based access control ensures resources are secured and only accessible to authorized users.

Implementing Azure Virtual Networks

Creating and configuring virtual networks is a key skill for developers building secure cloud applications. Participants will learn to design network topologies that include subnets, network security groups, and VPN connections. They will explore hybrid networking scenarios that integrate on-premises infrastructure with Azure resources. Topics include IP addressing, routing, load balancing, and private endpoints. This knowledge enables learners to build applications that are both accessible and secure while maintaining compliance with enterprise networking standards.

Azure App Services Advanced Features

App Services provide a platform for deploying web applications and APIs without managing underlying infrastructure. Students will learn to configure scaling options, custom domains, SSL certificates, and deployment slots. They will explore WebJobs and Functions for background processing, continuous integration, and automated deployments. Understanding App Service environments helps optimize performance and isolate workloads. Learners will gain hands-on experience deploying multi-tier applications and integrating with other Azure services for real-world scenarios.

Serverless Computing with Azure Functions

Serverless architecture reduces infrastructure management overhead. Participants will learn to implement Azure Functions for event-driven applications. They will explore triggers, bindings, and durable functions for stateful workflows. Students will understand performance optimization, cold start mitigation, and monitoring of serverless applications. Integrating functions with storage accounts, service bus, and Event Grid enables complex, scalable workflows. This module emphasizes cost-effective, event-driven solutions suitable for enterprise-grade applications.

Developing and Managing APIs

APIs are the backbone of modern applications. Students will learn to design RESTful APIs using ASP.NET Web API and host them on Azure App Services. The module covers versioning strategies, routing, serialization, and exception handling. Participants will explore API Management to secure, throttle, and monitor API usage. They will implement authentication using OAuth 2.0 and JWT tokens. Hands-on exercises include creating APIs for CRUD operations, integrating with databases, and documenting endpoints for client consumption.

Data Storage and Management Strategies

Storing and managing data efficiently is essential for cloud applications. Participants will explore relational and non-relational storage options, including Azure SQL Database, Cosmos DB, Blob Storage, and Table Storage. The module covers data partitioning, indexing, replication, and backup strategies. Students will learn to design data access patterns for high performance and scalability. They will implement security best practices, such as encryption at rest and in transit, managed identities, and access policies to ensure data integrity and compliance.

Implementing Caching and Performance Optimization

Caching improves application responsiveness and reduces latency. Participants will learn to implement Azure Cache for Redis, in-memory caching, and CDN integration. The module covers cache invalidation, session management, and performance monitoring. Students will explore profiling tools to identify bottlenecks and optimize database queries. Techniques for asynchronous processing, batching, and load balancing are discussed to ensure high-performance applications under heavy load conditions.

Messaging and Event-Driven Architectures

Modern applications rely on messaging to decouple components and handle asynchronous operations. Participants will explore Azure Service Bus, Event Grid, and Event Hubs. They will learn to design message queues, topics, and subscriptions for reliable communication. Event-driven architectures enable real-time processing, integration with third-party services, and scalable workflows. Students will implement retry policies, dead-letter queues, and error handling to ensure robust messaging solutions.

Securing Cloud Applications

Security is a continuous concern in cloud development. Participants will learn to implement Azure Active Directory for identity management and authentication. The module covers managed identities, multi-factor authentication, and role-based access control. Students will explore encryption mechanisms for data at rest and in transit. They will implement API security, token validation, and secure communication using HTTPS. Threat modeling and security best practices ensure applications meet enterprise and regulatory compliance requirements.

Monitoring and Diagnostics

Monitoring ensures applications operate reliably and meet performance expectations. Participants will learn to use Azure Monitor, Application Insights, and Log Analytics to track application metrics and logs. They will explore custom telemetry, alerts, and dashboards to visualize performance data. Students will implement automated remediation for common issues and analyze trends for proactive maintenance. The module emphasizes using diagnostic tools to detect bottlenecks, optimize resources, and improve user experience.

Implementing Continuous Integration and Deployment

Continuous integration and deployment streamline development workflows and reduce errors. Participants will learn to use Azure DevOps to build pipelines, manage repositories, and automate testing. The module covers build and release pipelines, artifact management, and deployment to multiple environments. Students will explore infrastructure-as-code, automated testing, and versioning strategies to ensure consistent application delivery. Hands-on labs reinforce deployment best practices and pipeline optimization.

Working with Containers and Kubernetes

Containers provide portability and consistency across environments. Participants will learn to package applications using Docker and deploy them to Azure Kubernetes Service (AKS). They will explore container orchestration, scaling, service discovery, and rolling updates. The module covers monitoring, logging, and security considerations for containerized applications. Students will gain practical experience deploying microservices in a containerized environment, enabling modern, cloud-native development patterns.

Implementing Microservices Architecture

Microservices allow modular, maintainable applications. Participants will learn to design microservices using REST APIs, messaging, and serverless functions. They will explore service decomposition, inter-service communication, and data management strategies. The module emphasizes scalability, fault tolerance, and monitoring in distributed systems. Hands-on labs guide students through creating resilient microservices that integrate with Azure services, supporting complex enterprise solutions.

Handling High Availability and Disaster Recovery

Ensuring high availability is essential for mission-critical applications. Participants will learn to implement Azure availability sets, zones, and paired regions. The module covers backup, geo-replication, failover strategies, and disaster recovery planning. Students will explore recovery objectives, testing failover procedures, and designing applications that minimize downtime. Understanding these concepts ensures learners can build resilient systems that maintain business continuity.

Optimizing Costs and Resource Usage

Cost management is a critical aspect of cloud development. Participants will learn to monitor resource usage, apply autoscaling, and optimize workloads to reduce costs. The module covers pricing models for compute, storage, and networking. Students will implement strategies to right-size resources, manage idle instances, and forecast expenses. This knowledge ensures cloud solutions are both efficient and cost-effective, supporting sustainable enterprise operations.

Integrating Third-Party Services and APIs

Modern applications often require integration with external services. Participants will learn to consume RESTful APIs, implement OAuth authentication, and handle data transformations. The module covers error handling, retries, and asynchronous communication patterns. Students will explore integrating third-party SaaS platforms, messaging services, and cloud storage solutions to enhance application capabilities and user experience.

Advanced Troubleshooting Techniques

Debugging complex cloud applications requires advanced skills. Participants will learn to trace requests across distributed systems, analyze logs, and diagnose performance issues. The module covers identifying memory leaks, network latency, and database bottlenecks. Students will implement monitoring and alerting strategies to proactively detect and resolve issues. Hands-on exercises reinforce systematic approaches to troubleshooting and optimizing applications for reliability.

Preparing for Real-World Deployment

This module focuses on bridging theory and practice. Participants will simulate enterprise deployments, integrating multiple Azure services, securing data, and implementing monitoring solutions. They will apply best practices in scaling, performance, and fault tolerance. Students will complete capstone exercises that replicate real-world scenarios, preparing them to design, implement, and manage complex Azure applications in professional environments.

Exam Readiness and Practice

Participants will review exam objectives, key concepts, and practical scenarios. The module emphasizes understanding Azure service interactions, troubleshooting approaches, and performance optimization. Students will complete practice questions, labs, and scenario-based exercises to build confidence. Guidance on time management, question interpretation, and exam strategies ensures learners are fully prepared for the Microsoft 70-487 certification exam.

Advanced Serverless Architecture

Serverless computing is a cornerstone of modern cloud development. Participants will learn to design applications that use Azure Functions and Logic Apps for event-driven workflows. The module explores triggers from storage, service bus, HTTP requests, and Event Grid events. Students will implement durable functions for stateful workflows and explore orchestration patterns for long-running processes. They will learn to optimize execution time, manage scaling, and monitor serverless workloads for cost efficiency and performance.

Building Event-Driven Applications

Event-driven architectures enable responsive, scalable applications. Participants will explore message brokers, event hubs, and queues for decoupled communication. They will design systems that respond to real-time events from IoT devices, web applications, or internal services. The module emphasizes patterns for reliability, including retry policies, dead-letter queues, and error handling. Students will implement event sourcing and publish-subscribe models to support scalable microservices and distributed systems.

API Design and Management

Effective API management ensures secure and scalable service delivery. Participants will learn to design RESTful APIs with proper versioning, routing, and response formatting. They will implement authentication using OAuth 2.0 and JWT, securing endpoints and controlling access. The module covers API Management features such as rate limiting, caching, request transformation, and analytics. Students will create documentation and testing strategies to ensure maintainability and developer adoption.

Advanced Data Storage Techniques

Managing data in the cloud requires advanced design strategies. Participants will explore partitioning, sharding, and indexing in Azure SQL Database and Cosmos DB. They will design storage solutions for high availability, low latency, and scalability. The module covers integration of relational and non-relational storage, caching layers, and data replication. Students will implement backup, restore, and disaster recovery plans to ensure data durability and compliance with enterprise standards.

Security Best Practices

Security is a continuous priority for cloud applications. Participants will implement network security groups, firewalls, and private endpoints to protect resources. They will learn to use Azure Key Vault to manage secrets, certificates, and encryption keys. The module covers monitoring and auditing access, detecting anomalies, and mitigating threats. Students will design secure communication between services, implement multi-factor authentication, and follow compliance frameworks to meet regulatory requirements.

Monitoring, Logging, and Diagnostics

Monitoring ensures reliable operation and rapid problem resolution. Participants will use Azure Monitor, Application Insights, and Log Analytics to collect metrics and trace application behavior. They will implement custom telemetry and alerts to detect performance degradation or failures. The module emphasizes log correlation, distributed tracing, and proactive diagnostics. Students will analyze trends and optimize applications based on monitored data, ensuring resilience and high availability.

Continuous Integration and Delivery

Automated build and deployment pipelines are critical for modern development workflows. Participants will learn to configure Azure DevOps pipelines for code compilation, testing, and deployment. The module covers infrastructure-as-code using ARM templates, YAML pipelines, and automated release strategies. Students will integrate continuous testing, artifact management, and rollback procedures to maintain consistent and reliable deployments. Hands-on exercises simulate real-world application release cycles.

Microservices and Containerization

Modern applications benefit from modular microservices architecture. Participants will learn to design microservices that communicate via APIs, message queues, or events. They will explore containerization using Docker, deploying services on Azure Kubernetes Service (AKS), and orchestrating workloads for scaling and reliability. The module covers health checks, service discovery, rolling updates, and fault tolerance. Students will gain practical experience in deploying and managing microservices in cloud-native environments.

High Availability and Disaster Recovery

Ensuring system uptime and resilience is crucial for enterprise applications. Participants will design applications that leverage availability sets, availability zones, and geo-replication. They will implement failover strategies, backup, and recovery procedures. The module covers recovery time objectives, failover testing, and business continuity planning. Students will simulate outages to validate high availability designs and develop strategies to minimize downtime.

Performance Optimization

Optimizing cloud applications improves responsiveness and reduces costs. Participants will profile applications to identify performance bottlenecks. They will implement caching strategies, optimize database queries, and tune resource allocation. The module covers autoscaling, load balancing, and network optimization. Students will apply performance monitoring tools to track improvements and ensure applications meet service-level agreements.

Integration with Third-Party Services

Cloud applications often require integration with external platforms. Participants will consume RESTful APIs, authenticate using OAuth, and manage data transformations. They will integrate SaaS services, messaging platforms, and external storage solutions. The module emphasizes reliability, error handling, and asynchronous communication. Students will create workflows that connect internal and external systems to deliver rich functionality for end users.

Event-Driven Microservices

Combining event-driven architecture with microservices allows highly scalable systems. Participants will design services that react to events in real-time, using queues, topics, and event hubs. They will implement patterns such as event sourcing, CQRS, and saga orchestration. The module covers error recovery, message deduplication, and consistency management. Students will develop systems capable of handling high-volume, distributed workloads with resilience.

Advanced Web API Techniques

Participants will explore techniques for building scalable, maintainable APIs. The module covers caching, compression, throttling, logging, and exception handling. Students will implement HATEOAS, versioning strategies, and API testing frameworks. They will ensure APIs are secure, performant, and compliant with standards. Hands-on labs include creating real-world services with comprehensive monitoring and client integration.

Application Security and Compliance

Security extends beyond code to architecture and operations. Participants will implement identity management, secure communication channels, and role-based access. They will design applications following compliance frameworks, including GDPR and ISO standards. The module emphasizes threat modeling, penetration testing, and continuous monitoring. Students will ensure sensitive data is protected, and applications meet enterprise security requirements.

Cloud-Native Patterns and Best Practices

Cloud-native design principles guide resilient and scalable application development. Participants will explore patterns such as sidecar, gateway, circuit breaker, and bulkhead. The module emphasizes decoupling, stateless services, and resilient communication. Students will implement observability, automation, and scaling strategies to optimize cloud-native applications for reliability, maintainability, and performance.

Troubleshooting Distributed Applications

Diagnosing issues in distributed systems requires specialized skills. Participants will learn to trace requests across multiple services, analyze logs, and detect anomalies. The module covers debugging serverless functions, containers, and microservices. Students will develop strategies for isolating faults, mitigating errors, and improving system reliability. Hands-on exercises simulate complex failure scenarios to build practical troubleshooting expertise.

Advanced Azure Storage Patterns

Participants will explore patterns such as CQRS, event sourcing, and polyglot persistence. They will implement partitioning, indexing, caching, and replication strategies to optimize data access. The module covers transactional consistency, distributed data management, and data lifecycle policies. Students will ensure storage solutions meet performance, scalability, and compliance requirements for enterprise applications.

Application Lifecycle Management

Managing application lifecycles is key to long-term success. Participants will learn release management, version control, testing strategies, and rollback procedures. The module emphasizes DevOps practices, automated pipelines, and continuous monitoring. Students will apply lifecycle management strategies to maintain high-quality, reliable, and maintainable applications in production environments.

Real-World Enterprise Scenarios

The course includes case studies that replicate enterprise challenges. Participants will design multi-tier applications, integrate services, implement security controls, and optimize performance. They will simulate disaster recovery, high availability, and large-scale deployment scenarios. Hands-on exercises reinforce practical knowledge and ensure learners are prepared for real-world application development in Azure.

Exam Preparation and Review

Participants will consolidate learning through exam-focused review. The module emphasizes scenario-based questions, performance optimization strategies, and troubleshooting techniques. Students will complete practice exams, labs, and exercises aligned with Microsoft 70-487 objectives. Guidance on time management, question interpretation, and test-taking strategies ensures readiness for certification while reinforcing practical skills applicable to professional projects.

Advanced Monitoring and Observability

Monitoring applications in Azure ensures operational reliability and performance. Participants will explore Azure Monitor, Application Insights, and Log Analytics for collecting metrics, logs, and telemetry. They will learn to implement custom dashboards, alerts, and automated responses to critical events. The module covers distributed tracing to understand inter-service communication and identify bottlenecks. Students will use insights to optimize resources, detect anomalies, and maintain high-performing applications in production environments.

Application Performance Tuning

Optimizing application performance is critical for cloud workloads. Participants will analyze performance metrics, evaluate database queries, and identify latency issues. They will implement caching strategies, load balancing, and asynchronous processing to improve responsiveness. The module covers autoscaling configurations, resource optimization, and minimizing cold starts in serverless applications. Students will learn profiling techniques and use diagnostic tools to continuously enhance application efficiency.

Logging and Diagnostic Strategies

Effective logging and diagnostics are essential for troubleshooting and auditing. Participants will implement structured logging, centralized log management, and exception handling practices. The module covers log correlation across distributed systems and integration with monitoring platforms. Students will analyze logs to detect issues, understand system behavior, and improve maintainability. Hands-on exercises focus on tracing complex workflows and proactive issue resolution.

Cloud Governance and Policy Management

Governance ensures applications comply with organizational standards. Participants will learn to define policies, manage resource groups, and enforce tagging for resource tracking. The module covers Azure Policy, role-based access control, and cost management practices. Students will explore audit logging, compliance reports, and automated remediation for policy violations. Understanding governance enables scalable, secure, and cost-effective management of cloud environments.

Hybrid Cloud Integration

Many organizations adopt hybrid cloud strategies. Participants will learn to integrate on-premises infrastructure with Azure services using VPN, ExpressRoute, and hybrid identity solutions. The module covers data synchronization, service federation, and secure connectivity. Students will design hybrid architectures that leverage both cloud and on-premises resources while maintaining security, reliability, and performance.

Orchestration of Cloud Services

Orchestration coordinates multiple cloud services for complex workflows. Participants will explore Azure Logic Apps, Functions, and Event Grid for automating tasks and integrating services. They will implement workflow automation, conditional routing, and event-driven processing. The module emphasizes error handling, retry policies, and monitoring orchestrated workflows. Hands-on labs enable learners to automate real-world business processes using Azure orchestration tools.

Advanced Security Implementation

Security is a continuous concern in enterprise cloud applications. Participants will implement network security groups, private endpoints, firewalls, and secure API gateways. They will use Azure Key Vault for secrets management and implement encryption for data at rest and in transit. The module covers identity management, multi-factor authentication, and secure service-to-service communication. Students will perform threat modeling, vulnerability assessments, and security audits to ensure compliance with industry standards.

Application Resilience and Fault Tolerance

Designing resilient applications ensures continuous operation during failures. Participants will explore redundancy, failover, and retry mechanisms across services. The module covers high availability designs, disaster recovery planning, and geo-redundant storage. Students will implement fault-tolerant architectures, simulate outages, and validate recovery procedures. Understanding resilience enables applications to maintain performance and availability under adverse conditions.

Advanced Storage and Data Management

Participants will dive deeper into storage patterns, including partitioning, sharding, caching, and data replication. They will explore hybrid storage solutions that combine relational, non-relational, and in-memory storage for optimal performance. The module covers data lifecycle management, retention policies, and compliance requirements. Students will implement secure, scalable, and high-performing storage solutions that meet enterprise data demands.

Microservices Communication Patterns

Efficient communication between microservices is essential for scalability. Participants will explore synchronous and asynchronous communication, message queues, publish-subscribe models, and event-driven patterns. The module covers service discovery, circuit breakers, and retries for resilient interactions. Students will implement communication strategies that reduce coupling, increase fault tolerance, and enhance system responsiveness.

Container Orchestration with Kubernetes

Containers provide consistency and portability for applications. Participants will learn to deploy Docker containers to Azure Kubernetes Service (AKS), configure namespaces, and manage cluster resources. The module covers deployment strategies, scaling, rolling updates, and self-healing mechanisms. Students will monitor clusters, troubleshoot containerized applications, and implement CI/CD pipelines for microservices deployments.

Implementing Continuous Delivery for Enterprise Applications

Continuous delivery ensures consistent and reliable application releases. Participants will configure build and release pipelines, automate testing, and integrate infrastructure-as-code. The module covers version control strategies, artifact management, and rollback procedures. Students will simulate enterprise deployment scenarios and ensure applications are delivered efficiently and securely across multiple environments.

Cost Management and Optimization

Managing cloud costs is essential for sustainable operations. Participants will monitor resource utilization, optimize compute and storage usage, and implement autoscaling policies. The module covers pricing models, cost forecasting, and resource tagging for accurate accounting. Students will apply strategies to minimize idle resources, improve efficiency, and maintain budget compliance while ensuring performance and scalability.

Real-Time Data Processing

Real-time processing enables responsive applications and analytics. Participants will explore Event Hubs, Stream Analytics, and Azure Functions for ingesting and processing streaming data. The module covers windowing, aggregations, and event transformation techniques. Students will implement pipelines that handle high-volume, low-latency workloads and integrate processed data into storage or downstream services.

DevOps and Infrastructure-as-Code

Infrastructure-as-Code (IaC) enables repeatable, automated deployments. Participants will use ARM templates, Terraform, and Azure DevOps for provisioning and managing resources. The module covers configuration management, automated testing, and release orchestration. Students will implement DevOps practices to reduce manual errors, enforce consistency, and accelerate application delivery.

Real-World Project Implementation

Participants will apply learned concepts in comprehensive projects. They will design multi-tier applications, integrate cloud services, implement security controls, optimize performance, and configure monitoring solutions. Projects simulate enterprise challenges such as high availability, disaster recovery, and hybrid cloud integration. Hands-on exercises reinforce practical skills and prepare learners for professional cloud development tasks.

Troubleshooting Enterprise Applications

Participants will learn advanced troubleshooting techniques for complex systems. The module covers diagnosing distributed applications, analyzing logs, identifying bottlenecks, and resolving performance issues. Students will implement monitoring strategies, fault isolation, and error mitigation. Practical labs allow learners to handle real-world failures and optimize system reliability.

Governance and Compliance Review

Ensuring regulatory compliance and governance adherence is critical. Participants will review policy enforcement, access control, auditing, and reporting mechanisms. The module covers GDPR, ISO, and organizational compliance requirements. Students will implement governance frameworks that maintain security, regulatory compliance, and operational standards across Azure environments.

Preparing for the Certification Exam

The final module consolidates learning and focuses on Microsoft 70-487 exam preparation. Participants will review core concepts, practice scenario-based questions, and reinforce hands-on skills. The module emphasizes performance optimization, troubleshooting, and real-world application scenarios. Students will complete practice exams, simulations, and exercises to ensure readiness for certification while reinforcing practical, job-ready skills.

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