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NEW QUESTION: 1
Which of the following refers to the exploitation of a valid computer session to gain unauthorized access to
information or services in a computer system?
A. Piggybacking
B. Session hijacking
C. Keystroke logging
D. Hacking
Answer: B
NEW QUESTION: 2
Wenn in einem Unternehmen eine neue Software unter Vertrag implementiert wird, welche der folgenden Maßnahmen ist der Schlüssel zur Kontrolle der eskalierenden Kosten aufgrund von Scope Creep?
A. Qualitätsmanagement
B. Problemmanagement
C. Änderungsmanagement
D. Risikomanagement
Answer: C
NEW QUESTION: 3
A software patch has been released to remove vulnerabilities from company's software. A security analyst has been tasked with testing the software to ensure the vulnerabilities have been remediated and the application is still functioning properly. Which of the following tests should be performed NEXT?
A. Penetration testing
B. Regression testing
C. Fuzzing
D. User acceptance testing
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Reference: https://en.wikipedia.org/wiki/Regression_testing
NEW QUESTION: 4
You are a developer for a software as a service (SaaS) company that uses an Azure Function to process orders.
The Azure Function currently runs on an Azure Function app that is triggered by an Azure Storage queue.
You are preparing to migrate the Azure Function to Kubernetes using Kubernetes-based Event Driven Autoscaling (KEDA).
You need to configure Kubernetes Custom Resource Definitions (CRD) for the Azure Function.
Which CRDs should you configure? To answer, drag the appropriate CRD types to the correct locations. Each CRD type may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Deployment
To deploy Azure Functions to Kubernetes use the func kubernetes deploy command has several attributes that directly control how our app scales, once it is deployed to Kubernetes.
Box 2: ScaledObject
With --polling-interval, we can control the interval used by KEDA to check Azure Service Bus Queue for messages.
Example of ScaledObject with polling interval
apiVersion: keda.k8s.io/v1alpha1
kind: ScaledObject
metadata:
name: transformer-fn
namespace: tt
labels:
deploymentName: transformer-fn
spec:
scaleTargetRef:
deploymentName: transformer-fn
pollingInterval: 5
minReplicaCount: 0
maxReplicaCount: 100
Box 3: Secret
Store connection strings in Kubernetes Secrets.
Example: to create the Secret in our demo Namespace:
# create the k8s demo namespace
kubectl create namespace tt
# grab connection string from Azure Service Bus
KEDA_SCALER_CONNECTION_STRING=$(az servicebus queue authorization-rule keys list \
-g $RG_NAME \
--namespace-name $SBN_NAME \
--queue-name inbound \
-n keda-scaler \
--query "primaryConnectionString" \
-o tsv)
# create the kubernetes secret
kubectl create secret generic tt-keda-auth \
--from-literal KedaScaler=$KEDA_SCALER_CONNECTION_STRING \
--namespace tt
Reference:
https://www.thinktecture.com/en/kubernetes/serverless-workloads-with-keda/
