Designing Microsoft Azure Infrastructure Solutions

Course Description

Duration 4 days – 28 hrs

Overview

The Designing Microsoft Azure Infrastructure Solutions Training Course is designed to equip IT professionals with the skills and knowledge required to design effective and secure Microsoft Azure infrastructure solutions. Participants will learn how to translate business requirements into scalable, reliable, and secure cloud solutions. The course covers a wide range of Azure services, design considerations, best practices, and hands-on labs to ensure practical understanding..

Objectives

Design and implement Azure infrastructure solutions that meet business and technical requirements.
Integrate Azure services to create comprehensive cloud solutions.
Ensure security, compliance, and identity management in Azure environments.
Implement networking, storage, and compute solutions on Azure.
Optimize performance and scalability of Azure infrastructure.

Audience

Cloud architects
IT professionals involved in designing and implementing Azure solutions
Network engineers
IT managers and administrators
Anyone preparing for the Microsoft Certified: Azure Solutions Architect Expert exam

Pre- requisites

Before attending this course, students must have previous experience deploying or administering Azure resources and conceptual knowledge of:

Azure Active Directory

Azure compute technologies such as VMs, containers and serverless solutions

Azure virtual networking to include load balancers

Azure Storage technologies (unstructured and databases)

General application design concepts such as messaging and high availability

Have attended AZ-900T00: Microsoft Azure Fundamentals or have equivalent knowledge

Conceptual knowledge of governance policies, resource organization, and subscription management.

Working experience with organizing resources, applying governance policies, and enforcing compliance requirements.

Conceptual knowledge of Azure compute solutions.

Working experience with virtual machines, containers, and app service.

Conceptual knowledge of storage accounts, blobs, files, disks, and data protection.

Working experience with creating and securing storage systems.

Working experience with database solutions.

Conceptual knowledge of SQL Server.

Working experience with data integration solutions.

Conceptual knowledge of data integration solutions.

Working experience with developing cloud applications.

Conceptual knowledge of messaging, events, deployments, configurations, API, and caching.

Conceptual knowledge of identity assignment solutions, role-based access control, and identity protection methods.

Working experience creating, assigning, and securing corporate identities.

Working experience with monitoring and logging cloud environments

Conceptual knowledge of monitoring and logging

Working experience with enterprise networking.

Conceptual knowledge of software defined networking and hybrid connectivity.

Conceptual knowledge of Business Continuity and Disaster Recovery solutions.

Working experience with object replication, backup solution tools, and recovery options.

Conceptual knowledge of migrating compute, database, and storage workloads.

Working experience with planning migrations, assessing workloads, determining migration requirements, and deploying workloads.

Course Content

Module 1: Design governance

Azure Architects design and recommend governance solutions.

Design for governance.
Design for management groups.
Design for Azure subscriptions.
Design for resource groups.
Design for resource tagging.
Design for Azure policy.
Design for Azure role-based access control.

Module 2: Design a compute solution

Azure Architects design and recommend compute solutions.

Choose a compute service.
Design for Azure virtual machines solutions.
Design for Azure Batch solutions.
Design for Azure App Services solutions.
Design for Azure Container Instances solutions.
Design for Azure Kubernetes Service solutions.
Design for Azure Function solutions.
Design for Azure Logic App solutions.

Module 3: Design a data storage solution for non-relational data

Azure Architects design and recommend non-relational data storage solutions.

Design for data storage.
Design for Azure storage accounts.
Design for Azure Blob Storage.
Design for data redundancy.
Design for Azure Files.
Design for Azure managed disks.
Design for storage security.

Module 4: Design a data storage solution for relational data

Azure Architects design and recommend relational data storage solutions.

Design for Azure SQL Database.
Design for Azure SQL Managed Instance.
Design for SQL Server on Azure Virtual Machines.
Recommend a solution for database scalability.
Recommend a solution for database availability.
Design protection for data at rest, data in transmission, and data in use.
Design for Azure SQL Edge.
Design for Azure Cosmos DB.
Design for Azure Table Storage.

Module 5: Design data integration

Azure Architects design and recommend data integration solutions.

Design a data integration solution with Azure Data Factory.

Design a data integration solution with Azure Data Lake.

Design a data integration and analytics solution with Azure Databricks.

Design a data integration and analytics solution with Azure Synapse Analytics.

Design a strategy for hot/warm/cold data path.

Design Azure Stream Analytics solution for Data Analysis.

Module 6: Design an application architecture

Azure Architects design and recommend application architectures.

Describe message and event scenarios.
Design a messaging solution.
Design an Event Hub messaging solution.
Design an event-driven solution.
Design an automated app deployment solution.
Design API integration.
Design an application configuration management solution.
Design a caching solution.

Module 7: Design authentication and authorization solutions

Azure Architects design and recommend authentication and authorization solutions.

Design for identity and access management.
Design for Azure Active Directory.
Design for Azure Active Directory business-to-business (B2B).
Design for Azure Active Directory B2C (business-to-customer).
Design for conditional access.
Design for identity protection.
Design for access reviews.
Design for managed identities.
Design for service principals for applications.
Design for Azure Key Vault.

Module 8: Design a solution to log and monitor Azure resources

Azure Architects design and recommend logging and monitoring solutions.

Design for Azure Monitor data sources
Design for Azure Monitor Logs (Log Analytics) workspaces
Design for Azure Workbooks and Azure insights
Design for Azure Data Explorer

Module 9: Design network solutions

Azure Architects design and recommend network solutions.

Recommend a network architecture solution based on workload requirements
Design for on-premises connectivity to Azure Virtual Networks
Design for Azure network connectivity services
Design for application delivery services
Design for application protection services

Module 10: Design a solution for backup and disaster recovery

Learn how to select appropriate backup solutions and disaster recovery solutions for Azure workloads.

Design for backup and recovery.
Design for Azure Backup.
Design for Azure blob backup and recovery.
Design for Azure Files backup and recovery.
Design for Azure virtual machine backup and recovery.
Design for6 Azure SQL backup and recovery.
Design for Azure Site Recovery.

Module 11: Design migrations

Azure Architects design and recommend migration solutions.

Evaluate migration with the Cloud Adoption Framework.
Describe the Azure Migration Framework.
Assess your on-premises workloads.
Select a migration tool.
Migrate your databases.
Select an online storage migration tool.
Migrate offline data.

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Target Audience

Warehouse supervisors, team leaders, and managers.
Inventory controllers and stock control personnel.
Logistics and distribution supervisors.
Internal auditors and operational compliance personnel.
Supply chain and operations professionals.
Personnel responsible for reviewing warehouse controls and performance.

Prerequisites

Basic familiarity with warehouse, logistics, or inventory activities.
General understanding of business processes and operational documentation.
Basic numerical skills, including percentages and simple calculations.
Basic spreadsheet skills are helpful.
No prior experience with a specific Warehouse Management System (WMS) is required.

Course Outline

Day 1: Warehouse Processes, Layout, and Storage Controls Module 1: Warehouse Operations and Process Controls

Warehouse roles within the supply chain.
End-to-end flow: receiving, put-away, storage, replenishment, picking, packing, and dispatch.
Physical stock movement and corresponding system transactions.
Responsibilities, authorization, and segregation of duties.
Common operational weaknesses and audit evidence.

Module 2: Warehouse Layout and Storage Systems

Functional zones, movement paths, and space utilization.
Receiving, storage, picking, staging, and dispatch areas.
Storage options: floor stacking, shelving, pallet racking, and bin storage.
Fixed and dynamic location systems.
Product slotting based on movement, size, handling needs, and compatibility.
Layout bottlenecks and their effects on productivity and inventory control.

Module 3: Receiving and Put-Away

Purchase orders, delivery documents, and expected receipts.
Quantity, condition, and item identification checks.
Recording shortages, overages, damage, and discrepancies.
Controls for acceptance, quarantine, and release.
Put-away rules and location confirmation.
Traceability through labels, barcodes, lot numbers, and serial numbers.
Timely recording of receipts and stock movements.

Module 4: Storage, Stock Rotation, and Replenishment

Storage discipline and location integrity.
FIFO and FEFO principles, applications, and limitations.
Batch, lot, and expiry-date management.
Controls for slow-moving, obsolete, damaged, and expired stock.
Replenishment of picking locations.
Supervision and review of stock rotation compliance.

Day 2: Order Fulfillment and Inventory Accuracy Module 5: Picking Strategies and Order Fulfillment

Discrete, batch, zone, and wave picking.
Selecting picking strategies for different order profiles.
Pick paths, location sequencing, and travel reduction.
Replenishment coordination and stock availability.
Picking verification and error prevention.
Packing, staging, and dispatch confirmation.
Handling short picks, substitutions, cancellations, and returns.

Module 6: Inventory Records and Accuracy Controls

Item master data, units of measure, and location records.
On-hand, available, allocated, and quarantined stock.
Transaction controls for receipts, transfers, issues, returns, and adjustments.
Common causes of physical and system stock mismatches.
Barcode scanning and WMS control points.
Inventory reconciliation and supporting documentation.
Measuring inventory accuracy and interpreting discrepancies.

Module 7: Cycle Counting and Physical Inventory

Cycle counting versus full physical inventory.
ABC classification and risk-based count priorities.
Count frequency based on value, movement, and discrepancy history.
Count preparation, blind counting, and movement controls.
Recounts, variance investigation, and adjustment approval.
Root cause analysis and corrective action follow-up.
Reviewing the effectiveness of the counting program.

Module 8: Shrinkage Reduction and Inventory Protection

Sources of shrinkage: loss, damage, theft, misplacement, and recording errors.
Access controls and accountability for stock movements.
Controls for high-value and sensitive inventory.
Returns, write-offs, scrap, and disposal controls.
Exception reporting and unusual transaction patterns.
Investigating recurring losses and unexplained adjustments.
Preventive and detective controls for shrinkage reduction.

Day 3: Performance Management, Process Review, and Improvement Module 9: Warehouse Productivity and Inventory KPIs

Receiving productivity and dock-to-stock time.
Put-away productivity and replenishment performance.
Picking productivity and order accuracy.
Inventory accuracy and cycle count variance.
Space utilization and storage capacity.
Shrinkage, damage, and expiry indicators.
Defining KPI formulas, data sources, and reporting boundaries.
Interpreting trends while balancing speed, accuracy, and service.

Module 10: Supervising and Auditing Warehouse Processes

Process mapping and identification of critical control points.
Reviewing procedures against actual warehouse practices.
Tracing transactions from documents to systems and physical stock.
Reviewing approvals, access rights, and segregation of duties.
Identifying control gaps and recurring process exceptions.
Documenting findings with clear supporting evidence.
Prioritizing corrective actions and tracking closure.

Module 11: Warehouse Improvement Planning

Identifying bottlenecks, unnecessary movement, and rework.
Improving layout, slotting, and picking arrangements.
Addressing inventory discrepancy root causes.
Standardizing transaction recording and exception handling.
Assigning improvement owners and measurable targets.
Monitoring results and sustaining operational improvements.

Module 12: Capstone — Warehouse Operations and Inventory Improvement Plan

Review a warehouse scenario containing layout, transaction, inventory, and performance information.
Identify weaknesses across receiving, put-away, storage, picking, and dispatch.
Recommend appropriate FIFO or FEFO controls.
Develop a cycle counting and inventory reconciliation plan.
Propose controls to reduce shrinkage and improve traceability.
Select relevant KPIs and define their calculation and reporting requirements.
Produce a prioritized improvement plan with responsibilities and expected outcomes.

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Designing Microsoft Azure Infrastructure Solutions

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