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That diagnosis is supported by a different symptom: The API rejects a JSON payload containing bare capitalized `True`. Here the recorded observation is: the API reports expected array but received object for the `interfaces` field. The applicable cause is: the payload uses `{}` object syntax where list `[]` is required.

That diagnosis is supported by a different symptom: Only the last hostname value is visible after decoding the object. Here the recorded observation is: the API reports expected array but received object for the `interfaces` field. The applicable cause is: the payload uses `{}` object syntax where list `[]` is required.

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: the API reports expected array but received object for the `interfaces` field. The applicable cause is: the payload uses `{}` object syntax where list `[]` is required.

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: the payload uses `{}` object syntax where list `[]` is required. The specific required safeguard is: validate payload types and required fields against the controller schema before PATCH/POST.

That control reduces a separate risk: JSON duplicate property names are ambiguous and common decoders overwrite earlier values. For the described design, the recurring risk arises from: the payload uses `{}` object syntax where list `[]` is required. The specific required safeguard is: validate payload types and required fields against the controller schema before PATCH/POST.

That control reduces a separate risk: Python's boolean literal syntax is not the JSON `true` literal. For the described design, the recurring risk arises from: the payload uses `{}` object syntax where list `[]` is required. The specific required safeguard is: validate payload types and required fields against the controller schema before PATCH/POST.

Sending a JSON numeric literal 120 matching the documented field type would not meet the need for the JSON null literal for an explicitly empty value, not the quoted string text.

Assigning a unique key or use an array for multiple hostnames would not meet the need for the JSON null literal for an explicitly empty value, not the quoted string text.

Encode valid JSON using double-quoted property names and strings would not meet the need for the JSON null literal for an explicitly empty value, not the quoted string text.

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: decode the JSON and confirm the field is null rather than a nonempty four-character string.

This test measures a different behavior: Parse the payload with a duplicate-key-aware validator and verify both intended records persist. It does not establish the target outcome. For the documented fault, the direct acceptance test is: decode the JSON and confirm the field is null rather than a nonempty four-character string.

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: decode the JSON and confirm the field is null rather than a nonempty four-character string.

That diagnosis is supported by a different symptom: Only the last hostname value is visible after decoding the object. Here the recorded observation is: the controller stores the text null rather than treating the optional property as unset. The applicable cause is: the client serialized a string token instead of the JSON null type.

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: the controller stores the text null rather than treating the optional property as unset. The applicable cause is: the client serialized a string token instead of the JSON null type.

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: the controller stores the text null rather than treating the optional property as unset. The applicable cause is: the client serialized a string token instead of the JSON null type.

That control reduces a separate risk: JSON duplicate property names are ambiguous and common decoders overwrite earlier values. For the described design, the recurring risk arises from: the client serialized a string token instead of the JSON null type. The specific required safeguard is: use type-aware serialization and test optional-field semantics for null and omission.

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: the client serialized a string token instead of the JSON null type. The specific required safeguard is: use type-aware serialization and test optional-field semantics for null and omission.

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: the client serialized a string token instead of the JSON null type. The specific required safeguard is: use type-aware serialization and test optional-field semantics for null and omission.

Using the JSON null literal for an explicitly empty value, not the quoted string text would not send a JSON numeric literal 120 matching the documented field type.

Encode valid JSON using double-quoted property names and strings would not send a JSON numeric literal 120 matching the documented field type. The value was encoded as a JSON string instead of an integer.

Using lowercase `true` or `false` JSON literals in wire-format JSON would not send a JSON numeric literal 120 matching the documented field type. The value was encoded as a JSON string instead of an integer.

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 and confirm the VLAN value is numeric and schema validation succeeds.

This test measures a different behavior: Decode the JSON and confirm the field is null rather than a nonempty four-character string. It does not establish the target outcome. For the documented fault, the direct acceptance test is: parse the payload and confirm the VLAN value is numeric and schema validation succeeds.

This test measures a different behavior: Round-trip the payload through strict JSON decoding and check the boolean type. It does not establish the target outcome. For the documented fault, the direct acceptance test is: parse the payload and confirm the VLAN value is numeric and schema validation succeeds.

That diagnosis is supported by a different symptom: The API rejects a JSON payload containing bare capitalized `True`. Here the recorded observation is: the controller rejects the payload because VLAN ID is not a numeric type. The applicable cause is: the value was encoded as a JSON string instead of an integer.

That diagnosis is supported by a different symptom: The controller stores the text null rather than treating the optional property as unset. Here the recorded observation is: the controller rejects the payload because VLAN ID is not a numeric type. The applicable cause is: the value was encoded as a JSON string instead of an integer.

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: the controller rejects the payload because VLAN ID is not a numeric type. The applicable cause is: the value was encoded as a JSON string instead of an integer.

That control reduces a separate risk: The payload uses `{}` object syntax where list `[]` is required. For the described design, the recurring risk arises from: the value was encoded as a JSON string instead of an integer. The specific required safeguard is: validate schema field types in addition to syntactic JSON validity.

That control reduces a separate risk: Python's boolean literal syntax is not the JSON `true` literal. For the described design, the recurring risk arises from: the value was encoded as a JSON string instead of an integer. The specific required safeguard is: validate schema field types in addition to syntactic JSON validity.

That control reduces a separate risk: The client serialized a string token instead of the JSON null type. For the described design, the recurring risk arises from: the value was encoded as a JSON string instead of an integer. The specific required safeguard is: validate schema field types in addition to syntactic JSON validity.

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.