Monitor and maintain Azure resources
Free Microsoft Certified: Azure Administrator Associate practice — 6 questions on Monitor and maintain Azure resources, with explanations. No sign-up. Full 12-question mixed test →
A company replicates a set of business-critical Azure VMs from Region A to Region B using Azure Site Recovery (Azure-to-Azure replication). The business requirement is an RPO of 15 minutes for these VMs. The current replication policy has an app-consistent snapshot frequency of 4 hours and a recovery point retention of 24 hours. Which statement correctly describes what is needed to meet the 15-minute RPO?
Azure-to-Azure VM replication in Site Recovery continuously replicates data at the disk-write level (not on a scheduled interval), which typically results in an RPO well under a minute. The 15-minute RPO target is already met without any configuration change; app-consistent snapshot frequency only affects the frequency of application-consistent recovery points, not the underlying crash-consistent RPO.
A VM in a subnet cannot reach a specific destination IP address on TCP port 443. You suspect an NSG rule is silently blocking the traffic and want to verify, without generating any actual network traffic, whether a packet matching this 5-tuple would be allowed or denied. Which Network Watcher tool should you use?
IP flow verify checks whether a packet matching a specified source/destination IP, port, and protocol (the 5-tuple) is allowed or denied by NSGs applied to a VM's NIC, and it does this without sending actual traffic — it evaluates the rule set directly.
A Recovery Services vault protects several VMs. The security team requires that if backup data is deleted (accidentally or maliciously), it must remain recoverable for 14 days after the deletion occurs. Which feature meets this requirement?
Soft delete for Azure Backup retains deleted backup data in a recoverable state for a default retention period (14 days, extendable up to 180 days for vaulted backups), allowing you to undelete and restore the backup even after a deletion operation.
You need to query the Perf table in a Log Analytics workspace to find, for each computer, the average '% Processor Time' over the last 24 hours, returning only computers whose average exceeds 80%. Which KQL query is correct?
A)
Perf
| where CounterName == "% Processor Time"
| where AvgCPU > 80
| summarize avg(CounterValue) by Computer, ago(24h)
B)
Perf
| summarize AvgCPU = avg(CounterValue) by Computer
| where TimeGenerated > ago(24h) and CounterName == "% Processor Time" and AvgCPU > 80
C)
Perf
| where TimeGenerated > ago(24h) and CounterName == "% Processor Time"
| summarize AvgCPU = avg(CounterValue) by Computer
| where AvgCPU > 80
D)
Perf
| where TimeGenerated > ago(24h)
| where CounterName == "% Processor Time"
| where CounterValue > 80
| summarize by Computer
Query C correctly filters raw rows by time range and counter name first, then aggregates with summarize to compute the average per computer, and finally applies the AvgCPU > 80 filter after the alias exists — this is the valid and semantically correct order of operations in KQL.
Which statement correctly differentiates Azure Monitor metric alerts from log alerts (log search alerts)?
Metric alerts operate on the metrics pipeline and can be evaluated as frequently as every 1 minute against near real-time data. Log alerts run a scheduled KQL query against a Log Analytics workspace (or Application Insights), with a minimum supported evaluation frequency of 5 minutes, introducing inherent query/ingestion latency.
A subscription owner wants to be automatically notified by email whenever Microsoft schedules planned maintenance that could affect the Azure region hosting their VMs — separate from monitoring the health of any individual VM resource. Which service should be configured with an alert to meet this requirement?
Azure Service Health tracks service issues, planned maintenance, health advisories, and security advisories at the subscription, region, and service level, and supports configuring Service Health alerts (via action groups) to notify subscribers, such as by email, when planned maintenance is scheduled for the relevant region/service.
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