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quickstart pivots for entra and apikey
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articles/search/search-get-started-vector.md

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@@ -520,113 +520,113 @@ The index schema in this example is organized around hotel content. Sample data
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1. Select **Send request**. You should have an `HTTP/1.1 201 Created` response.
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***
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---
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The response body should include the JSON representation of the index schema.
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```json
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```json
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{
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"@odata.context": "https://contoso-search-centralus.search.windows.net/$metadata#indexes/$entity",
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"@odata.etag": "\"0x8DD2E70E6C36D8E\"",
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"name": "hotels-vector-quickstart",
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"defaultScoringProfile": null,
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"fields": [
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{
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"@odata.context": "https://contoso-search-centralus.search.windows.net/$metadata#indexes/$entity",
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"@odata.etag": "\"0x8DD2E70E6C36D8E\"",
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"name": "hotels-vector-quickstart",
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"defaultScoringProfile": null,
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"fields": [
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"name": "HotelId",
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"type": "Edm.String",
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"searchable": false,
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"filterable": true,
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"retrievable": true,
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"sortable": false,
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"facetable": false,
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"key": true,
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"indexAnalyzer": null,
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"searchAnalyzer": null,
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"analyzer": null,
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"dimensions": null,
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"vectorSearchProfile": null,
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"synonymMaps": []
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},
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[MORE FIELD DEFINITIONS OMITTED FOR BREVITY]
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],
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"scoringProfiles": [],
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"corsOptions": null,
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"suggesters": [],
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"analyzers": [],
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"tokenizers": [],
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"tokenFilters": [],
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"charFilters": [],
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"encryptionKey": null,
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"similarity": {
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"@odata.type": "#Microsoft.Azure.Search.BM25Similarity",
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"k1": null,
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"b": null
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},
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"vectorSearch": {
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"algorithms": [
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{
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"name": "HotelId",
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"type": "Edm.String",
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"searchable": false,
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"filterable": true,
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"retrievable": true,
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"sortable": false,
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"facetable": false,
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"key": true,
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"indexAnalyzer": null,
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"searchAnalyzer": null,
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"analyzer": null,
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"dimensions": null,
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"vectorSearchProfile": null,
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"synonymMaps": []
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"name": "my-hnsw-vector-config-1",
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"kind": "hnsw",
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"hnswParameters": {
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"metric": "cosine",
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"m": 4,
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"efConstruction": 400,
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"efSearch": 500
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},
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[MORE FIELD DEFINITIONS OMITTED FOR BREVITY]
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],
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"scoringProfiles": [],
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"corsOptions": null,
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"suggesters": [],
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"analyzers": [],
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"tokenizers": [],
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"tokenFilters": [],
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"charFilters": [],
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"encryptionKey": null,
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"similarity": {
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"@odata.type": "#Microsoft.Azure.Search.BM25Similarity",
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"k1": null,
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"b": null
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},
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"vectorSearch": {
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"algorithms": [
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{
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"name": "my-hnsw-vector-config-1",
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"kind": "hnsw",
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"hnswParameters": {
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"metric": "cosine",
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"m": 4,
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"efConstruction": 400,
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"efSearch": 500
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},
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"exhaustiveKnnParameters": null
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},
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{
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"name": "my-hnsw-vector-config-2",
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"kind": "hnsw",
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"hnswParameters": {
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"metric": "euclidean",
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"m": 4,
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"efConstruction": 400,
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"efSearch": 500
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"exhaustiveKnnParameters": null
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},
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{
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"name": "my-hnsw-vector-config-2",
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"kind": "hnsw",
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"hnswParameters": {
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"metric": "euclidean",
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"m": 4,
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"efConstruction": 400,
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"efSearch": 500
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},
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"exhaustiveKnnParameters": null
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},
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{
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"name": "my-eknn-vector-config",
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"kind": "exhaustiveKnn",
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"hnswParameters": null,
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"exhaustiveKnnParameters": {
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"metric": "cosine"
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}
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}
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],
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"profiles": [
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{
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"name": "my-vector-profile",
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"algorithm": "my-hnsw-vector-config-1"
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}
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]
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},
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"semantic": {
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"defaultConfiguration": null,
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"configurations": [
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{
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"name": "my-semantic-config",
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"prioritizedFields": {
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"titleField": {
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"fieldName": "HotelName"
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},
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"exhaustiveKnnParameters": null
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},
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{
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"name": "my-eknn-vector-config",
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"kind": "exhaustiveKnn",
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"hnswParameters": null,
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"exhaustiveKnnParameters": {
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"metric": "cosine"
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"prioritizedContentFields": [
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{
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"fieldName": "Description"
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}
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}
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],
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"profiles": [
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{
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"name": "my-vector-profile",
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"algorithm": "my-hnsw-vector-config-1"
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}
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]
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},
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"semantic": {
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"defaultConfiguration": null,
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"configurations": [
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{
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"name": "my-semantic-config",
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"prioritizedFields": {
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"titleField": {
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"fieldName": "HotelName"
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},
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"prioritizedContentFields": [
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{
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"fieldName": "Description"
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}
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],
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"prioritizedKeywordsFields": [
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{
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"fieldName": "Category"
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}
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]
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],
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"prioritizedKeywordsFields": [
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{
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"fieldName": "Category"
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}
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}
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]
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}
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]
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}
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}
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]
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}
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```
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}
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```
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Key takeaways about the [Create Index](/rest/api/searchservice/indexes/create) REST API:
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