Fundamental
Prepare and test your skills
Fundamental
Prepare and test your skills
Azure Reserved Instances for Steady Workloads
Free sample question, answered and explained below. The AZ-900 Microsoft Azure Fundamentals Exam practice bank has 688 more like it. Try 10 free: instant score, no account.
A company operates critical production virtual machines in Azure that run continuous, steady-state workloads 24 hours a day, 7 days a week.
The organization has committed to maintaining these workloads in Azure for at least the next three years and wants to significantly reduce compute expenses compared to standard pay-as-you-go pricing.
Which cost optimization strategy should the company implement?
Explanations
Export cost and usage details on a recurring schedule to Azure Blob Storage
Export cost and usage details on a recurring schedule to Azure Blob Storage
What Cost Exports Do
Cost Management Exports allow organizations to automatically export daily or monthly cost, usage, and billing details to an Azure Storage account (Blob container) for offline storage, custom analytics, or integration into third-party financial reporting systems.
Why It Doesn't Meet the Requirement
- Reporting mechanism only: Exporting billing data provides visibility and raw financial records but does not directly modify resource pricing or reduce compute rates.
- No automatic cost reduction: Simply exporting cost spreadsheets or JSON files does not apply discounts to active production virtual machines.
- Passive observation: Cost exports require manual or automated post-processing to extract insights and do not provide pricing agreements.
Key Characteristics and Limitations
- Enables scheduled daily, weekly, or monthly delivery of detailed usage CSV datasets to Azure Storage.
- Supports multi-subscription, resource group, and billing profile scope data exports.
- Facilitates integration with business intelligence tools such as Power BI, external ERP systems, or custom FinOps pipelines.
This Answer Would Be Correct If
The organization required automated integration of raw daily cloud consumption data into an external corporate reporting dashboard or accounting ledger.
Additional Context
Cost exports are essential for auditing and usage chargeback, but achieving lower hourly compute expenses requires active commercial strategies such as Azure Reservations or Azure Savings Plans.
Configure horizontal autoscaling using Virtual Machine Scale Sets
Configure horizontal autoscaling using Virtual Machine Scale Sets
What Horizontal Autoscaling Does
Horizontal autoscaling (scaling out and in) dynamically adds or removes compute instances in response to changing application demand, resource metrics (such as CPU or memory utilization), or defined schedules. In Azure, this capability is commonly implemented using Azure Virtual Machine Scale Sets.
Why It Doesn't Meet the Requirement
- Steady-state baseline load: The scenario specifies that the workloads run continuously 24/7 in a steady state, meaning compute demand does not significantly fluctuate.
- Pay-as-you-go rate retention: Autoscaling adjusts instance counts based on demand, but running instances still incur standard pay-as-you-go rates unless paired with commitment discounts.
- No term-commitment discount: Scaling alone does not provide the multi-year contractual pricing discounts the organization is seeking.
Key Characteristics and Limitations
- Dynamically adds instances during high demand and de-allocates instances when demand drops.
- Best suited for variable, bursty, or cyclical traffic patterns rather than continuous 24/7 baselines.
- Helps control costs during idle periods by removing unneeded instances, but does not reduce unit hourly costs for running instances.
This Answer Would Be Correct If
The workload experienced unpredictable traffic spikes or cyclical periods of high and low utilization where instances could safely be de-allocated during off-peak hours.
Additional Context
Organizations frequently combine Azure Reservations for their predictable baseline capacity with Autoscaling for fluctuating peak loads to achieve end-to-end cost efficiency.
Purchase Azure Reserved Virtual Machine Instances for a three-year commitment term
Purchase Azure Reserved Virtual Machine Instances for a three-year commitment term
What Azure Reservations Are
Azure Reserved Virtual Machine Instances (Azure Reservations) provide substantial discounts compared to pay-as-you-go pricing in exchange for committing to consistent compute resource usage over a one-year or three-year period. Reservations do not alter or disrupt running virtual machines; instead, the billing discount is applied automatically to matching virtual machine instances within the designated scope.
How It Meets the Cost Optimization Requirement
- Predictable, continuous compute workloads: Because the organization operates virtual machines 24/7 with steady-state utilization, committing to reserved capacity directly replaces expensive hourly on-demand rates with deeply discounted reservation rates.
- Long-term three-year commitment: By committing to a three-year term, the company qualifies for the highest available percentage discount on compute charges.
- Automatic discount application: The billing system automatically pairs running resources with purchased reservations, requiring no reconfiguration of underlying production applications.
Key Advantages and Capabilities
- Significant cost savings: Delivers savings of up to 72% over standard pay-as-you-go pricing models.
- Flexible billing options: Allows payments either fully upfront or split into equal monthly installments at no extra surcharge.
- Exchange and cancellation flexibility: Provides self-service capabilities to exchange reservations across VM sizes, regions, or terms as infrastructure needs evolve.
- Scope management: Can be scoped to a single resource group, a single subscription, a management group, or across shared billing scopes.
Why This Is Optimal
For steady-state infrastructure running non-stop over multiple years, Azure Reservations represent the most cost-effective procurement strategy. Other approaches like on-demand scaling or spot instances are unsuitable for continuous, business-critical workloads that cannot tolerate interruption.
Send all virtual machine diagnostics to a centralized Log Analytics workspace
Send all virtual machine diagnostics to a centralized Log Analytics workspace
What Centralized Log Analytics Does
A Log Analytics workspace is a centralized data repository within Azure Monitor used to collect, store, index, and analyze telemetry, diagnostic metrics, and event log data from Azure resources, hybrid servers, and applications.
Why It Doesn't Meet the Requirement
- Observability rather than compute discount: Centralizing logs provides monitoring and diagnostics capabilities but does not lower compute infrastructure rates or offer commitment pricing discounts.
- Potential for increased data costs: Ingesting and retaining high volumes of diagnostic log data generates storage and ingestion costs rather than lowering existing virtual machine hosting expenses.
- No reduction in core VM execution pricing: Running virtual machines continue to be billed at standard rates regardless of where logs are routed.
Key Characteristics and Limitations
- Provides centralized querying, alerting, and dashboarding across cloud and hybrid resources.
- Charged based on the volume of daily data ingested (in gigabytes) and data retention duration.
- Helps maintain governance by preventing fragmented monitoring data across multiple unmanaged workspaces.
This Answer Would Be Correct If
The organization needed to streamline operational visibility, consolidate security monitoring, or prevent diagnostic log fragmentation across multiple subscriptions.
Additional Context
While monitoring data can help identify underutilized virtual machines for potential rightsizing, the act of sending logs to Log Analytics does not by itself deliver multi-year compute discounts.
Try 10 interactive questions like this one, free
Answer them yourself and get your score the moment you finish. No account needed.
Full access includes
- 688 practice questions across all 3 exam domains
- Every answer explained: why it is right, and why the others are not
- Scout, an AI tutor that answers your follow-up questions
- Readiness tracking by domain, so you know when to book the exam
Related questions
Keep the momentum going with these hand-picked practice scenarios
FundamentalAZ-900 Microsoft Azure Fundamentals Exam
Azure Cost Management Budgets and Alerts
Describe cost management capabilities in Azure
FundamentalAZ-900 Microsoft Azure Fundamentals Exam
Microsoft Cost Management
Describe cost management capabilities in Azure
FundamentalAZ-900 Microsoft Azure Fundamentals Exam
Azure Resource Tags For Cost Allocation
Describe cost management capabilities in Azure
FundamentalAZ-900 Microsoft Azure Fundamentals Exam
Azure Cost Analysis
Describe cost management capabilities in Azure
FundamentalAZ-900 Microsoft Azure Fundamentals Exam
Azure Resource Hierarchy
Describe the hierarchy of resource groups, subscriptions, and management groups
AdvancedAZ-104 Microsoft Azure Administrator Exam
Availability Zones High Availability
Deploy virtual machines to availability zones and availability sets
Last updated Validated