- Lab
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Libraries: If you want this lab, consider one of these libraries.
- Cloud
Deploying a Cost-Optimized Compute and Storage Solution
In this lab, you will act as an Azure administrator responsible for deploying and managing cost-optimized compute and storage resources for a growing application workload. You will focus on using Azure-native features to balance performance, scalability, and cost efficiency. You will deploy a Virtual Machine Scale Set using a cost-effective VM size, configure autoscaling based on demand, and implement storage lifecycle management to reduce long-term storage costs. By the end of this lab, you will have hands-on experience applying practical cost-optimization techniques commonly used in real-world Azure environments.
Lab Info
Table of Contents
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Challenge
Implement Autoscaling Compute with Virtual Machine Scale Sets
Create a Virtual Machine Scale Set that automatically scales compute capacity based on workload demand while controlling costs.
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Challenge
Deploy Cost-Optimized Azure Storage for Application Data
Configure an Azure Storage account that uses cost-efficient redundancy and access tiers for application data.
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Challenge
Automate Storage Cost Optimization with Lifecycle Management
Apply lifecycle management policies to automatically transition aging blob data to a lower-cost storage tier.
Real skill practice before real-world application
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