KEDA HPA metrics value for Queue Triggered Azure Function - kubernetes

Question

I have a KEDA enabled Queue Triggered Azure Function running in a Kubernetes cluster. When I describe the HPA created by KEDA, I am unable to understand the value metrics.
In the following image, what does "7309m" represents? I came to the conclusion that "1" is the queueLength parameter I supplied in the ScaledObject.yaml file.
The official documentation shows an example which is based upon the percentage of the resources utilized by the system as follows:
ScaledObject.yaml file
apiVersion: v1
kind: Secret
metadata:
name: queue-connection-secret
data:
connection-string: ####
---
apiVersion: keda.sh/v1alpha1
kind: TriggerAuthentication
metadata:
name: azure-queue-auth
spec:
secretTargetRef:
- parameter: connection
name: queue-connection-secret
key: connection-string
---
apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
name: queuetrigfuncscaledobject
spec:
scaleTargetRef:
name: queuetrigfuncdeployment
minReplicaCount: 0
maxReplicaCount: 120
pollingInterval: 1
cooldownPeriod: 900
triggers:
- type: azure-queue
metadata:
queueName: k8s-poc-queue
queueLength: "1"
authenticationRef:
name: azure-queue-auth

Answer 1

The queueLength specifies the target amount of messages you want to see on each pod in k8s. Simply saying it's the amount you want to achieve while scaling the number of pods. Specifying it as 1 will make HPA scale the pods to the number of messages in the queue, which isn't what you want to achieve I assume. There is an official doc available here https://keda.sh/docs/2.4/scalers/azure-storage-queue/