diff --git a/sdk/media/azure-media-analytics-edge/azure/media/analyticsedge/_generated/models/_models.py b/sdk/media/azure-media-analytics-edge/azure/media/analyticsedge/_generated/models/_models.py
index 2f843bcfc0ea..e4db6c6a7eea 100644
--- a/sdk/media/azure-media-analytics-edge/azure/media/analyticsedge/_generated/models/_models.py
+++ b/sdk/media/azure-media-analytics-edge/azure/media/analyticsedge/_generated/models/_models.py
@@ -1626,15 +1626,15 @@ class MediaGraphSignalGateProcessor(MediaGraphProcessor):
     :param activation_evaluation_window: The period of time over which the gate gathers input
      events before evaluating them.
     :type activation_evaluation_window: str
-    :param activation_signal_offset: Required. Signal offset once the gate is activated (can be
-     negative). It is an offset between the time the event is received, and the timestamp of the
-     first media sample (eg. video frame) that is allowed through by the gate.
+    :param activation_signal_offset: Signal offset once the gate is activated (can be negative). It
+     is an offset between the time the event is received, and the timestamp of the first media
+     sample (eg. video frame) that is allowed through by the gate.
     :type activation_signal_offset: str
-    :param minimum_activation_time: Required. The minimum period for which the gate remains open in
-     the absence of subsequent triggers (events).
+    :param minimum_activation_time: The minimum period for which the gate remains open in the
+     absence of subsequent triggers (events).
     :type minimum_activation_time: str
-    :param maximum_activation_time: Required. The maximum period for which the gate remains open in
-     the presence of subsequent events.
+    :param maximum_activation_time: The maximum period for which the gate remains open in the
+     presence of subsequent events.
     :type maximum_activation_time: str
     """
 
@@ -1642,9 +1642,6 @@ class MediaGraphSignalGateProcessor(MediaGraphProcessor):
         'type': {'required': True},
         'name': {'required': True},
         'inputs': {'required': True},
-        'activation_signal_offset': {'required': True},
-        'minimum_activation_time': {'required': True},
-        'maximum_activation_time': {'required': True},
     }
 
     _attribute_map = {
@@ -1664,9 +1661,9 @@ def __init__(
         super(MediaGraphSignalGateProcessor, self).__init__(**kwargs)
         self.type = '#Microsoft.Media.MediaGraphSignalGateProcessor'  # type: str
         self.activation_evaluation_window = kwargs.get('activation_evaluation_window', None)
-        self.activation_signal_offset = kwargs['activation_signal_offset']
-        self.minimum_activation_time = kwargs['minimum_activation_time']
-        self.maximum_activation_time = kwargs['maximum_activation_time']
+        self.activation_signal_offset = kwargs.get('activation_signal_offset', None)
+        self.minimum_activation_time = kwargs.get('minimum_activation_time', None)
+        self.maximum_activation_time = kwargs.get('maximum_activation_time', None)
 
 
 class MediaGraphSystemData(msrest.serialization.Model):
diff --git a/sdk/media/azure-media-analytics-edge/azure/media/analyticsedge/_generated/models/_models_py3.py b/sdk/media/azure-media-analytics-edge/azure/media/analyticsedge/_generated/models/_models_py3.py
index ec1193da89e3..f8a2447ee836 100644
--- a/sdk/media/azure-media-analytics-edge/azure/media/analyticsedge/_generated/models/_models_py3.py
+++ b/sdk/media/azure-media-analytics-edge/azure/media/analyticsedge/_generated/models/_models_py3.py
@@ -1763,15 +1763,15 @@ class MediaGraphSignalGateProcessor(MediaGraphProcessor):
     :param activation_evaluation_window: The period of time over which the gate gathers input
      events before evaluating them.
     :type activation_evaluation_window: str
-    :param activation_signal_offset: Required. Signal offset once the gate is activated (can be
-     negative). It is an offset between the time the event is received, and the timestamp of the
-     first media sample (eg. video frame) that is allowed through by the gate.
+    :param activation_signal_offset: Signal offset once the gate is activated (can be negative). It
+     is an offset between the time the event is received, and the timestamp of the first media
+     sample (eg. video frame) that is allowed through by the gate.
     :type activation_signal_offset: str
-    :param minimum_activation_time: Required. The minimum period for which the gate remains open in
-     the absence of subsequent triggers (events).
+    :param minimum_activation_time: The minimum period for which the gate remains open in the
+     absence of subsequent triggers (events).
     :type minimum_activation_time: str
-    :param maximum_activation_time: Required. The maximum period for which the gate remains open in
-     the presence of subsequent events.
+    :param maximum_activation_time: The maximum period for which the gate remains open in the
+     presence of subsequent events.
     :type maximum_activation_time: str
     """
 
@@ -1779,9 +1779,6 @@ class MediaGraphSignalGateProcessor(MediaGraphProcessor):
         'type': {'required': True},
         'name': {'required': True},
         'inputs': {'required': True},
-        'activation_signal_offset': {'required': True},
-        'minimum_activation_time': {'required': True},
-        'maximum_activation_time': {'required': True},
     }
 
     _attribute_map = {
@@ -1799,10 +1796,10 @@ def __init__(
         *,
         name: str,
         inputs: List["MediaGraphNodeInput"],
-        activation_signal_offset: str,
-        minimum_activation_time: str,
-        maximum_activation_time: str,
         activation_evaluation_window: Optional[str] = None,
+        activation_signal_offset: Optional[str] = None,
+        minimum_activation_time: Optional[str] = None,
+        maximum_activation_time: Optional[str] = None,
         **kwargs
     ):
         super(MediaGraphSignalGateProcessor, self).__init__(name=name, inputs=inputs, **kwargs)
diff --git a/sdk/media/azure-media-analytics-edge/samples/sample_lva.py b/sdk/media/azure-media-analytics-edge/samples/sample_lva.py
index b6cd17fe7eac..2701d5dd6f39 100644
--- a/sdk/media/azure-media-analytics-edge/samples/sample_lva.py
+++ b/sdk/media/azure-media-analytics-edge/samples/sample_lva.py
@@ -6,9 +6,9 @@
 from azure.iot.hub.models import CloudToDeviceMethod, CloudToDeviceMethodResult
 from datetime import time
 
-device_id = "device-name"
-module_d = "module-name"
-connection_string = "connection-string"
+device_id = "lva-sample-device"
+module_d = "mediaedge"
+connection_string = "HostName=lvasamplehubcx5a4jgbixyvg.azure-devices.net;SharedAccessKeyName=iothubowner;SharedAccessKey=/53Qw6ifN0ka4so72a1gVEhmyiz5fLb9iw+oWoyoQxk="
 graph_instance_name = "graphInstance1"
 graph_topology_name = "graphTopology1"
 graph_url = "rtsp://sample-url-from-camera"
@@ -17,7 +17,7 @@ def build_graph_topology():
     graph_properties = MediaGraphTopologyProperties()
     graph_properties.description = "Continuous video recording to an Azure Media Services Asset"
     user_name_param = MediaGraphParameterDeclaration(name="rtspUserName",type="String",default="dummyusername")
-    password_param = MediaGraphParameterDeclaration(name="rtspPassword",type="String",default="dummypassword")
+    password_param = MediaGraphParameterDeclaration(name="rtspPassword",type="SecretString",default="dummypassword")
     url_param = MediaGraphParameterDeclaration(name="rtspUrl",type="String",default="rtsp://www.sample.com")
 
     source = MediaGraphRtspSource(name="rtspSource", endpoint=MediaGraphUnsecuredEndpoint(url="${rtspUrl}",credentials=MediaGraphUsernamePasswordCredentials(username="${rtspUserName}",password="${rtspPassword}")))
@@ -32,6 +32,7 @@ def build_graph_topology():
 
 def build_graph_instance():
     url_param = MediaGraphParameterDefinition(name="rtspUrl", value=graph_url)
+    pass_param = MediaGraphParameterDefinition(name="rtspPassword", value='testpass')
     graph_instance_properties = MediaGraphInstanceProperties(description="Sample graph description", topology_name=graph_topology_name, parameters=[url_param])
 
     graph_instance = MediaGraphInstance(name=graph_instance_name, properties=graph_instance_properties)
diff --git a/sdk/media/azure-media-analytics-edge/swagger/autorest.md b/sdk/media/azure-media-analytics-edge/swagger/autorest.md
index 54492c50c561..4d2d9d91eb04 100644
--- a/sdk/media/azure-media-analytics-edge/swagger/autorest.md
+++ b/sdk/media/azure-media-analytics-edge/swagger/autorest.md
@@ -10,7 +10,7 @@ autorest --v3 --python
 ## Settings
 
 ```yaml
-require: https://github.com/Azure/azure-rest-api-specs/blob/297b7526f051e08f3a430b50daadd356ba74c6e2/specification/mediaservices/data-plane/readme.md
+require: https://github.com/Azure/azure-rest-api-specs/blob/14732a2d9802c98cb8fea52800853874529c5f8e/specification/mediaservices/data-plane/readme.md
 output-folder: ../azure/media/analyticsedge/_generated
 namespace: azure.media.analyticsedge
 no-namespace-folders: true