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Encode the collection as a JSON array `[...]` containing one object per interface would not assign a unique key or use an array for multiple hostnames.

Sending a JSON numeric literal 120 matching the documented field type would not assign a unique key or use an array for multiple hostnames.

Encode valid JSON using double-quoted property names and strings would not assign a unique key or use an array for multiple hostnames.

This test measures a different behavior: Decode and verify array length and each interface field against the intended schema. It does not establish the target outcome. For the documented fault, the direct acceptance test is: parse the payload with a duplicate-key-aware validator and verify both intended records persist.

This test measures a different behavior: Parse the payload and confirm the VLAN value is numeric and schema validation succeeds. It does not establish the target outcome. For the documented fault, the direct acceptance test is: parse the payload with a duplicate-key-aware validator and verify both intended records persist.

This test measures a different behavior: Submit the payload to a JSON parser and ensure the original key/value pairs decode. It does not establish the target outcome. For the documented fault, the direct acceptance test is: parse the payload with a duplicate-key-aware validator and verify both intended records persist.

That diagnosis is supported by a different symptom: The REST controller reports malformed JSON at the first single-quoted property. Here the recorded observation is: only the last hostname value is visible after decoding the object. The applicable cause is: jSON duplicate property names are ambiguous and common decoders overwrite earlier values.

That diagnosis is supported by a different symptom: The controller rejects the payload because VLAN ID is not a numeric type. Here the recorded observation is: only the last hostname value is visible after decoding the object. The applicable cause is: jSON duplicate property names are ambiguous and common decoders overwrite earlier values.

That diagnosis is supported by a different symptom: The API reports expected array but received object for the `interfaces` field. Here the recorded observation is: only the last hostname value is visible after decoding the object. The applicable cause is: jSON duplicate property names are ambiguous and common decoders overwrite earlier values.

That control reduces a separate risk: JSON syntax requires double quotation marks for string keys and values. For the described design, the recurring risk arises from: jSON duplicate property names are ambiguous and common decoders overwrite earlier values. The specific required safeguard is: use a strict linter to detect duplicate JSON object keys before controller API calls.

That control reduces a separate risk: The value was encoded as a JSON string instead of an integer. For the described design, the recurring risk arises from: jSON duplicate property names are ambiguous and common decoders overwrite earlier values. The specific required safeguard is: use a strict linter to detect duplicate JSON object keys before controller API calls.

That control reduces a separate risk: The payload uses `{}` object syntax where list `[]` is required. For the described design, the recurring risk arises from: jSON duplicate property names are ambiguous and common decoders overwrite earlier values. The specific required safeguard is: use a strict linter to detect duplicate JSON object keys before controller API calls.

Sending a schema-valid boolean value according to the model rather than an arbitrary string would not meet the need for an appropriate YANG data model to represent typed configuration/operational data trees and constraints.

Addressing the particular list instance using its YANG list key in the resource URL or payload as required would not meet the need for an appropriate YANG data model to represent typed configuration/operational data trees and constraints.

Reading operational leaves from the supported state datastore and edit only schema-writable configuration leaves would not meet the need for an appropriate YANG data model to represent typed configuration/operational data trees and constraints.

This test measures a different behavior: Test a read-only operational statistic and confirm an edit attempt is rejected appropriately. It does not establish the target outcome. For the documented fault, the direct acceptance test is: inspect model module, path and leaf types before sending an edit to the supported datastore.

This test measures a different behavior: GET the specific list entry before and after the edit to confirm only that instance changed. It does not establish the target outcome. For the documented fault, the direct acceptance test is: inspect model module, path and leaf types before sending an edit to the supported datastore.

This test measures a different behavior: Check model validation and verify the resulting enabled state through the operational datastore. It does not establish the target outcome. For the documented fault, the direct acceptance test is: inspect model module, path and leaf types before sending an edit to the supported datastore.

That diagnosis is supported by a different symptom: An automation tries to write a packet counter as if it were user configuration. Here the recorded observation is: an API payload fails validation because a leaf is sent under the wrong YANG container path. The applicable cause is: the requested data does not conform to the YANG schema hierarchy.

That diagnosis is supported by a different symptom: NETCONF returns invalid-value or validation failure for the leaf. Here the recorded observation is: an API payload fails validation because a leaf is sent under the wrong YANG container path. The applicable cause is: the requested data does not conform to the YANG schema hierarchy.

That diagnosis is supported by a different symptom: Updating one interface unintentionally replaces the entire list of interfaces. Here the recorded observation is: an API payload fails validation because a leaf is sent under the wrong YANG container path. The applicable cause is: the requested data does not conform to the YANG schema hierarchy.

Sending a properly typed boolean addresses one field value, but it does not provide the vendor-neutral data hierarchy that models interface configuration.

That control reduces a separate risk: The request addressed an enclosing YANG container instead of the keyed list entry. For the described design, the recurring risk arises from: the requested data does not conform to the YANG schema hierarchy. The specific required safeguard is: check model revisions, namespaces and supported deviations before automation rollout.

Separating operational from writable leaves helps safe edits, but it does not define the YANG schema and supported model structure required here.

Sending a schema-valid boolean value according to the model rather than an arbitrary string would not address the particular list instance using its YANG list key in the resource URL or payload as required.

Building the resource URL using the documented current API version and full base path would not address the particular list instance using its YANG list key in the resource URL or payload as required.

Using an appropriate YANG data model to represent typed configuration/operational data trees and constraints would not address the particular list instance using its YANG list key in the resource URL or payload as required.

This test measures a different behavior: Inspect model module, path and leaf types before sending an edit to the supported datastore. It does not establish the target outcome. For the documented fault, the direct acceptance test is: gET the specific list entry before and after the edit to confirm only that instance changed.

This test measures a different behavior: Compare the requested route with the published API catalog and confirm a valid inventory response. It does not establish the target outcome. For the documented fault, the direct acceptance test is: gET the specific list entry before and after the edit to confirm only that instance changed.

This test measures a different behavior: Check model validation and verify the resulting enabled state through the operational datastore. It does not establish the target outcome. For the documented fault, the direct acceptance test is: gET the specific list entry before and after the edit to confirm only that instance changed.

That diagnosis is supported by a different symptom: NETCONF returns invalid-value or validation failure for the leaf. Here the recorded observation is: updating one interface unintentionally replaces the entire list of interfaces. The applicable cause is: the request addressed an enclosing YANG container instead of the keyed list entry.

That diagnosis is supported by a different symptom: An API payload fails validation because a leaf is sent under the wrong YANG container path. Here the recorded observation is: updating one interface unintentionally replaces the entire list of interfaces. The applicable cause is: the request addressed an enclosing YANG container instead of the keyed list entry.

That diagnosis is supported by a different symptom: Previously working inventory collection now returns not found for every device. Here the recorded observation is: updating one interface unintentionally replaces the entire list of interfaces. The applicable cause is: the request addressed an enclosing YANG container instead of the keyed list entry.