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Prepare and test your skills

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.
An organization is deploying a high-traffic database application on Azure Virtual Machines. The engineering team requires predictable performance with guaranteed input/output operations per second (IOPS) and throughput to maintain consistent service levels across varying workloads.
Which Azure feature should the team configure to ensure predictable storage performance and resource allocation without causing downtime?
Azure Policy is a cloud governance service that evaluates and enforces organizational standards, configuration rules, and compliance requirements across Azure subscriptions and resources at scale.
While Azure Policy can enforce rules such as restricting allowed disk SKUs or requiring diagnostic settings, it does not allocate compute, storage, or network I/O throughput to running workloads. It enforces governance constraints rather than guaranteeing real-time workload execution speed or IOPS capacity.
Audit or Deny rather than dynamically provisioning system resources.The scenario asked how an administrator could automatically ensure that all newly created virtual machines adhere to company-mandated compliance configurations and security baselines across a subscription.
Azure Policy helps achieve governance predictability by preventing misconfiguration, but it must be combined with performance-tier provisioning to ensure performance predictability.
Performance tiers in Azure determine the provisioned IOPS (Input/Output Operations Per Second) and throughput available to Azure managed disks (such as Premium SSDs). When a disk is provisioned, a baseline performance tier is assigned according to the disk capacity, ensuring dedicated performance baselines for compute and storage workloads.
By utilizing performance tiers, administrators can explicitly adjust and allocate disk processing bandwidth and transaction capacity without resizing the physical disk or introducing service interruptions:
Cloud performance predictability relies on dedicated, consistent resource guarantees. Configuring disk performance tiers allows direct control over storage execution speeds and throughput caps, directly fulfilling SLA performance commitments without impacting system availability.
Locally Redundant Storage (LRS) is a data redundancy mechanism that maintains three synchronous copies of stored data within a single physical data center facility in a primary region.
LRS addresses data durability and availability by protecting storage accounts from localized hardware faults. It does not dictate or guarantee specific IOPS, throughput thresholds, or performance predictability for running disk volumes.
The requirement focused on selecting the lowest-cost data replication option that maintains three copies of data inside a single Azure facility to protect against hardware drive failure.
Redundancy features ensure high availability and data protection, which are foundational to cloud reliability, but they operate independently of performance-tier allocation.
Microsoft Defender for Cloud JIT access is a network security control that locks down inbound management ports (such as RDP and SSH) on virtual machines by configuring Network Security Groups to deny traffic by default and open access only upon approved request for a limited time.
JIT access is purely a privileged access management and threat reduction tool. It has no role in managing disk input/output operations, system throughput, or storage performance consistency.
The organization needed to prevent brute-force attacks and reduce network exposure by temporarily opening management ports on virtual machines only when authorized administrators request access.
Security tools like JIT access protect cloud assets from unauthorized intrusion, while performance predictability features manage resource throughput and latency.
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