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This concern applies to Assume the appliance automatically repairs every application connection string. in another design migrations design. The current proposal specifically fails because a short idle window misses critical workload spikes.

That assessment refers to the separate proposal 'Move servers in arbitrary alphabetical order without testing interdependencies.' not to the recommendation under review. Here, A short idle window misses critical workload spikes.

That assessment refers to the separate proposal 'Estimate every workload as the same VM size using only server count.' not to the recommendation under review. Here, A short idle window misses critical workload spikes.

That verification addresses the different requirement: Migration sequencing is blocked by unknown communication dependencies between app and database tiers. It does not directly establish observed usage proves the sizing covers business cycles.

That verification addresses the different requirement: An enterprise needs to inventory 500 on-premises VMware VMs before choosing Azure targets. It does not directly establish observed usage proves the sizing covers business cycles.

This is a test for An offline migration arrives but required folder mappings do not match applications' new paths. The requirement here is instead demonstrated by review peak distribution and confidence across the assessment period.

A short idle window misses critical workload spikes. In the present requirement, migration sequencing is blocked by unknown communication dependencies between app and database tiers. The needed design instead works because dependency mapping exposes system-to-system traffic before cutover.

Unplanned sequence can strand database-dependent applications. This proposal contradicts the stated architecture constraint.

Size-only extrapolation ignores utilization and dependencies. In the present requirement, migration sequencing is blocked by unknown communication dependencies between app and database tiers. The needed design instead works because dependency mapping exposes system-to-system traffic before cutover.

This concern applies to Use only AzCopy over the constrained link without estimating transfer time. in another design migrations design. The current proposal specifically fails because unplanned sequence can strand database-dependent applications.

That assessment refers to the separate proposal 'Estimate every workload as the same VM size using only server count.' not to the recommendation under review. Here, Unplanned sequence can strand database-dependent applications.

That assessment refers to the separate proposal 'Size the target from the previous hour of minimal utilization only.' not to the recommendation under review. Here, Unplanned sequence can strand database-dependent applications.

That verification addresses the different requirement: A workload appears idle most of the day but has intense month-end reporting. It does not directly establish the graph supports staged move groups.

That verification addresses the different requirement: An enterprise needs to inventory 500 on-premises VMware VMs before choosing Azure targets. It does not directly establish the graph supports staged move groups.

This is a test for A remote datacenter has 300 TB to migrate but only a slow, expensive WAN link. The requirement here is instead demonstrated by validate the proposed migration wave's dependency graph.

VM and disk throughput limits constrain actual performance. In the present requirement, a supported on-premises VM must move to Azure IaaS with minimal application redesign. The needed design instead works because rehosting preserves much of the OS and application while changing the platform.

Unnecessary refactoring adds schedule and regression risk. This proposal contradicts the stated architecture constraint.

Premature removal eliminates the rollback path. In the present requirement, a supported on-premises VM must move to Azure IaaS with minimal application redesign. The needed design instead works because rehosting preserves much of the OS and application while changing the platform.

That assessment refers to the separate proposal 'Delete source servers before validating their Azure replacements.' not to the recommendation under review. Here, Unnecessary refactoring adds schedule and regression risk.

This concern applies to Copy relational tables into JSON and assume joins remain unchanged. in another design migrations design. The current proposal specifically fails because unnecessary refactoring adds schedule and regression risk.

That assessment refers to the separate proposal 'Keep the smallest OS disk and assume every VM size has unlimited IOPS.' not to the recommendation under review. Here, Unnecessary refactoring adds schedule and regression risk.

This is a test for A cloud app requires data model redesign from normalized relational tables into documents. The requirement here is instead demonstrated by test the replicated VM's app behavior before final cutover.

That verification addresses the different requirement: A migration wave requires rehearsed DNS changes and rollback if the new VM fails. It does not directly establish functional parity supports the rehost decision.

That verification addresses the different requirement: The target Azure VM underperforms because its recommended disk throughput is too low. It does not directly establish functional parity supports the rehost decision.

Premature removal eliminates the rollback path. This proposal contradicts the stated architecture constraint.

VM and disk throughput limits constrain actual performance. In the present requirement, a migration wave requires rehearsed DNS changes and rollback if the new VM fails. The needed design instead works because a test move reduces exposure before stopping the original workload.

Unnecessary refactoring adds schedule and regression risk. In the present requirement, a migration wave requires rehearsed DNS changes and rollback if the new VM fails. The needed design instead works because a test move reduces exposure before stopping the original workload.

That assessment refers to the separate proposal 'Rewrite the application into microservices solely to accomplish an urgent rehost.' not to the recommendation under review. Here, Premature removal eliminates the rollback path.

That assessment refers to the separate proposal 'Keep the smallest OS disk and assume every VM size has unlimited IOPS.' not to the recommendation under review. Here, Premature removal eliminates the rollback path.

This concern applies to Ignore compatibility errors because all products have SQL in the name. in another design migrations design. The current proposal specifically fails because premature removal eliminates the rollback path.

That verification addresses the different requirement: The target Azure VM underperforms because its recommended disk throughput is too low. It does not directly establish cutover evidence verifies the sequence.

This is a test for A SQL Server app uses unsupported components in the target Azure SQL Database tier. The requirement here is instead demonstrated by execute a nonproduction migration drill and document DNS propagation.

That verification addresses the different requirement: A supported on-premises VM must move to Azure IaaS with minimal application redesign. It does not directly establish cutover evidence verifies the sequence.