rename errorWhenMetricValuesEmpty -> errorWhenNullValues

Signed-off-by: Rob Pickerill <r.pickerill@gmail.com>

content/docs/2.14/scalers/aws-cloudwatch.md

@@ -37,7 +37,7 @@ triggers:
     # Optional: AWS Secret Access Key, can use TriggerAuthentication as well
     awsSecretAccessKeyFromEnv: AWS_SECRET_ACCESS_KEY # default AWS_SECRET_ACCESS_KEY
     # DEPRECATED: This parameter is deprecated as of KEDA v2.13 and will be removed in v3. Optional # Optional. Default: pod
-    identityOwner: pod | operator 
+    identityOwner: pod | operator
     # Optional: Collection Time
     metricCollectionTime: "300" # default 300
     # Optional: Metric Statistic
@@ -69,8 +69,11 @@ triggers:
 - `metricUnit` - Which unit to be used by the query. Used to define **Unit** ([official documentation](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_concepts.html#Unit)). (Default: `none`, Optional)
 - `metricEndTimeOffset` - How long in seconds to offset the **EndTime** ([official documentation](https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_GetMetricData.html)). Due to the eventual consistency model which is used by Cloudwatch, the latest datapoint one can get from Cloudwatch might not be accurate. The `metricEndTimeOffset` config provides a way to skip the most recent datapoint if needed. (Default: `0`, Optional)
 - `minMetricValue`- Returned value in case of empty response from cloudwatch. (Default: 0, This value can be a float)
-- `errorWhenMetricValuesEmpty`- If set to `true`, the scaler will return an error when the metric query is empty. This is to avoid any scaling activity if
+- `errorWhenNullValues`- If set to `true`, the scaler will return an error when the metric query is empty. This is to avoid any scaling activity if
 no metrics are available in the query window, as opposed to scaling the workload based on the minMetricValue above. If set to `true`, takes precedence over `minMetricValue`. (Default: `false`, Optional)
+
+> Both `minMetricValue` and `errorWhenNullValues` are used to handle the case when the metric query returns no metric values in the response. `minMetricValue` will scale the workload based on the value provided, while `errorWhenNullValues` will return an error and not adjust the scale of the workload.
+
 - `targetMetricValue`- Target value for the metric. (Default: 0, This value can be a float)
 - `activationTargetMetricValue`- Target value for activating the scaler. Learn more about activation [here](./../concepts/scaling-deployments.md#activating-and-scaling-thresholds).(Default: `0`, Optional, This value can be a float)