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The OUT_OF_SYNC state indicates that the configuration template state in VCF Operations no longer matches the corresponding state expected from Source Control. VCF Operations supports GitHub-based source control so configuration templates can be synchronized to and from a repository, and the documented sync workflow explicitly changes template status back to IN_SYNC after the administrator uses the Sync option in VCF Operations . A template can become out of sync when it is modified outside the VCF Operations workflow, such as being edited directly in the GitHub repository. It can also become out of sync if the corresponding template file is deleted from the repository, because VCF Operations can no longer reconcile the local template object with its source-controlled copy. If the source-control configuration itself is deleted, VCF Operations loses the configured repository association required to validate and synchronize templates. Removing a template from a policy or removing a vCenter instance from a drift-detection job affects drift evaluation scope, not Git template synchronization. Reference topic: Objective 4.16 – Configuration Drift / Source Control Integration / Syncing Configuration Templates with GitHub .

The administrator must configure the overcommit ratio and activate the appropriate custom profile at the datastore policy level. In VCF Operations, the Allocation Model is enabled from the policy Capacity card by unlocking Allocation Model and setting the overcommit ratio for CPU, memory, or disk space. For a Datastore , the allocation model specifically allows the administrator to set the overcommit ratio for datastore disk space, which controls how allocated storage capacity is calculated rather than relying only on demand-based usage . The second requirement is to use the current disk space usage of an existing VM to determine how many similar VMs can fit on the datastore. That is handled by a custom profile . Custom profiles define a hypothetical VM configuration and calculate VM remaining for objects such as datastores, datastore clusters, and cluster compute resources . The custom profile wizard also allows metric values to be copied from an existing object, including by VM name, vCenter, VM tag, or custom group . Peak utilization and capacity buffer do not enable allocation modeling or define VM-fit profiles. Reference topic: Objective 4.2 – Manage VCF Capacity / Allocation Model / Custom Profiles / Policy Capacity Settings .

The minimum count is 12 collectors , because the requirement is stated at the domain level and each VCF instance contains three domains: one Management Domain and two Workload Domains. The calculation is: 2 Fleets × 2 VCF Instances per Fleet × 3 Domains per VCF Instance = 12 dedicated domain collectors . VCF 9.0 defines a VCF private cloud as containing one or more VCF fleets, a VCF fleet as containing one or more VCF instances, and a VCF instance as consisting of a management domain and optional workload domains . VCF Operations collector architecture also supports scaling collection by adding collector nodes and assigning them through collector groups; collector groups are used to increase resiliency when a collector becomes unavailable and redistribute collection work across remaining collectors . Because the question states that each domain requires dedicated collectors, the administrator cannot satisfy the design by sharing a single collector across multiple domains or counting only the VCF instances. Options 4, 6, and 10 undercount the total number of managed domains. Reference topic: Objective 4.1 – Day 2 Tasks / Unified Cloud Proxies / Collector Groups / Scaling VCF Operations Collection .

The correct mapping is based on the monitoring method and discovery scope. Service Discovery identifies services running in each VM and builds relationships or dependencies between services running on different VMs, allowing administrators to understand service impact, outage dependency, and escalation paths . Application Discovery builds on service relationships by identifying predefined and custom applications when services are connected to and communicating with one another; VCF Operations can show the VMs connected to those services and how those services interact . Product-Managed Telegraf is managed directly by VCF Operations and is used to monitor supported operating systems and application services on vCenter-managed VMs, unmanaged VMs, and physical servers categorized as endpoints . Open Source Telegraf is user-managed and can monitor operating systems plus both supported and unsupported application services, although lifecycle actions such as start, stop, upgrade, and plugin activation are not managed by VCF Operations . Reference topic: Objective 4.7 – Monitor Applications with VCF Operations / Service Discovery, Application Discovery, Product-Managed Telegraf, and Open Source Telegraf .