update the test file

Author: Qi-2077

sdk/cognitivelanguage/azure-ai-language-questionanswering/assets.json

@@ -2,5 +2,5 @@
   "AssetsRepo": "Azure/azure-sdk-assets",
   "AssetsRepoPrefixPath": "python",
   "TagPrefix": "python/cognitivelanguage/azure-ai-language-questionanswering",
-  "Tag": "python/cognitivelanguage/azure-ai-language-questionanswering_f8477452ba"
+  "Tag": "python/cognitivelanguage/azure-ai-language-questionanswering_fd0992c16b"
 }

sdk/cognitivelanguage/azure-ai-language-questionanswering/tests/test_query_knowledgebase.py

@@ -28,7 +28,7 @@ def test_query_knowledgebase(self, recorded_test, qna_creds):  # standard model
             answer_context=KnowledgeBaseAnswerContext(previous_question="Meet Surface Pro 4", previous_qna_id=4),
         )
         with client:
-            output = client.get_answers(query_params, project_name=qna_creds["qna_project"], deployment_name="test")
+            output = client.get_answers(query_params, project_name=qna_creds["qna_project"], deployment_name="production")
         assert output.answers
         for answer in output.answers:
             assert answer.answer

sdk/cognitivelanguage/azure-ai-language-questionanswering/tests/test_query_knowledgebase_async.py

@@ -29,7 +29,7 @@ async def test_query_knowledgebase_basic(self, recorded_test, qna_creds):
             answer_context=KnowledgeBaseAnswerContext(previous_question="Meet Surface Pro 4", previous_qna_id=4),
         )
         async with client:
-            output = await client.get_answers(params, project_name=qna_creds["qna_project"], deployment_name="test")
+            output = await client.get_answers(params, project_name=qna_creds["qna_project"], deployment_name="production")
         assert output.answers
         for answer in output.answers:
             assert answer.answer
@@ -50,7 +50,10 @@ async def test_query_knowledgebase_with_short_answer(self, recorded_test, qna_cr
         async with client:
             output = await client.get_answers(params, project_name=qna_creds["qna_project"], deployment_name="test")
         assert output.answers
-        assert any(a.short_answer for a in output.answers if a.short_answer and a.short_answer.text)
+        for answer in output.answers:
+            if answer.short_answer:
+                assert answer.short_answer.text
+                assert answer.short_answer.confidence is not None
 
     @pytest.mark.asyncio
     async def test_query_knowledgebase_filter(self, recorded_test, qna_creds):
@@ -74,7 +77,7 @@ async def test_query_knowledgebase_filter(self, recorded_test, qna_creds):
             response = await client.get_answers(
                 params,
                 project_name=qna_creds["qna_project"],
-                deployment_name="test",
+                deployment_name="production",
             )
             assert response.answers
             assert any(