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Cloud Cost Optimization: Strategies Across Azure, Power Platform, Power BI & Fabric

In this Microsoft cloud course, participants explore effective strategies, tools, and architectural decisions for managing and optimizing costs across Azure and associated technologies including...

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By Request
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Duration 2 days
Course Code WA3784
Available Formats Classroom

Overview

In this Microsoft cloud course, participants explore effective strategies, tools, and architectural decisions for managing and optimizing costs across Azure and associated technologies including Power Platform, Power BI, Microsoft Fabric, and AI services. This hands-on, role-based training covers strategies from foundational FinOps concepts to practical rearchitecting techniques for cost-aware cloud deployments.

Skills Gained

  • Understand Azure pricing structures
  • Identify and avoid hidden cost traps in cloud environments
  • Right-size and rearchitect workloads using cloud-native technologies
  • Apply role-specific cost optimization techniques for developers, data engineers, DevOps teams, and data scientists
  • Integrate Power Platform and Fabric solutions to reduce development and operational costs
  • Use governance, reporting, and automation to enforce cost

Prerequisites

  • Basic understanding of cloud computing and Azure services
  • Familiarity with resource provisioning, deployment models, and cost reporting tools
  • Experience with Power Platform, DevOps pipelines, or data engineering tools is helpful but not necessary

Course Details

Setup Requirements

  • A computer with an internet connection is required
  • A remote lab VM and an Azure account will be provided as part of the training

Cloud Cost Fundamentals

  • Overview of public cloud pricing models
  • Azure economics compared to traditional infrastructure
  • FinOps principles and organizational roles
  • Role-based responsibility for cost control
  • Hidden cost traps: idle resources, egress fees, storage bloat, lack of tagging
  • Security/compliance overhead and underutilized reservations

Azure Landing Zones and FinOps Foundations

  • Purpose and components of an Azure Landing Zone
  • Designing for scalability, governance, and security
  • Embedding cost controls: tagging, budgets, and alerts
  • Organizing resources for chargeback/showback
  • Automating FinOps policies with Azure Policy and IaC
  • Monitoring cost trends with Log Analytics and Azure Monitor

Azure Cost Optimization Core

  • Identifying unused resources using Azure Advisor
  • Rightsizing VMs, Virtual Desktops, and App Service Plans
  • Savings Plans and Reserved Instances strategies
  • Leveraging Azure Hybrid Benefit and licensing optimization
  • Autoscaling configuration and scale-in/out techniques
  • Azure Container Registry retention and AKS workload efficiency

Developer-Focused Optimization

  • Selecting cost-effective hosting: App Services, Functions, Static Web Apps
  • App Service Plan consolidation for multi-app deployments
  • Logic Apps vs. Durable Functions for integration scenarios
  • API Management caching and throttling strategies
  • Building internal apps with Power Apps to reduce custom development costs

Rearchitecting for Efficiency

  • Migrating from IaaS to PaaS solutions
  • Event-driven design and serverless architecture adoption
  • Replacing VMs and heavy APIs with Functions and Logic Apps
  • Designing modular, composable microservices
  • Using low-code development to accelerate delivery at lower cost

DevOps-Specific Optimization

  • Cost-aware infrastructure deployments using IaC (Bicep, ARM, Terraform)
  • Monitoring and scaling VMSS and AKS clusters
  • Optimizing CI/CD pipelines in GitHub Actions or Azure DevOps
  • Automated cleanup of unused containers and services
  • Enforcing cost-saving patterns with Policies and Blueprints

Cost Strategies for Data Engineers

  • Tuning Azure Data Factory pipelines for trigger frequency and parallelism
  • Managing Spark pool sizes and Synapse consumption
  • Partitioning and compression techniques in data lakes
  • Moving cold data to archival tiers
  • Monitoring data movement and reducing cross-region transfers

Power Platform, Power BI, and Fabric Cost Efficiency

  • Power Apps and Power Automate as low-code solutions to replace custom-developed solutions
  • Power Automate licensing and trigger optimization
  • Dataverse storage cost control
  • Power BI cost management
  • AI Builder as a budget-friendly AI option
  • Environment strategy in Power Platform
  • Fabric capacity and workload optimization
  • Consolidated analytics strategy

AI Cost Optimization Strategies

  • Selecting the right Azure AI services based on workload scale
  • Azure OpenAI: batching requests, context management, caching responses
  • Azure AI Studio vs. custom hosting cost
  • Cost-efficient inferencing via containerized models on App Service or Functions
  • Reducing cognitive service calls using pre-processing and frequency limits
  • AI Builder as a low-cost option for form processing, predictions, and sentiment analysis
  • Replacing full-stack ML deployments with Power Platform + AI integrations
  • Monitoring consumption-based AI services to avoid budget spikes

Cost Optimization for Data Scientists

  • Deploying right-sized Azure ML compute environments
  • Using spot and ephemeral clusters for experimentation
  • Cost-effective model hosting and inferencing approaches
  • Versioning, monitoring, and cleanup of model artifacts
  • Leveraging container-based pipelines for repeatable scaling

Governance, Reporting & Automation

  • Setting budgets, alerts, and anomaly detection rules
  • Building dashboards with Azure Monitor, Power BI, and Cost Analysis
  • Enforcing resource policies with Azure Policy and management groups
  • Automating cleanup and lifecycle management workflows
  • FinOps operating cadence for reviews and accountability
  • Centralized vs. decentralized cost management approaches
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Schedule

Upcoming Course Dates

There are currently no scheduled dates for this course. If you are interested in this course, contact us with the form below.

Contact Information
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FAQ

How do I get a Microsoft exam voucher?

Pearson Vue Exam vouchers can be requested and ordered with your course purchase or can be ordered separately by clicking here.

  • Vouchers are non-refundable and non-returnable. Vouchers expire 12 months from the date they are issued unless otherwise specified in the terms and conditions.
  • Voucher expiration dates cannot be extended. The exam must be taken by the expiration date printed on the voucher.

Do Microsoft courses come with post lab access?

Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour-long after 3-3.5 hours of the class day.

What languages are used to deliver training?

Microsoft courses are conducted in English unless otherwise specified.

Reviews

It was very informative and covered all the required materials along with handson labs for practice.

The labs and course material gave me valuable insights into cloud security architecture

This course gave me a clearer understanding of the AWS cloud architecture.

The training was great . But i expected some of the Networking concepts would be covered in this certification .

Instructor knew her stuff. Long time in the industry. Course was easy to follow and very informative.