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NEW QUESTION: 1
Which two choices are use cases for Distributed Intrusion Detection? (Choose two.)
A. Quarantine workloads based on vulnerabilities.
B. Use agentless antivirus with Guest Introspection.
C. Identify risk and reputation of accessed websites.
D. Gain insight about micro-segmentation traffic flows.
E. Identify security vulnerabilities in the workloads.
Answer: A,E

NEW QUESTION: 2
Which products must first authorized to obtain the keycodesfieldto then authorize an enterprise geodatabase?
A. ArcGIS Server
B. ArcGIS Pro
C. Portal for ArcGIS
D. ArcGIS Desktop
Answer: A
Explanation:
Explanation
https://community.esri.com/groups/technical-support/blog/2015/02/18/generate-a-keycodes-file-toauthorize-an-e

NEW QUESTION: 3
You have several AI applications that use an Azure Kubernetes Service (AKS) cluster. The cluster supports a maximum of 32 nodes.
You discover that occasionally and unpredictably, the application requires more than 32 nodes.
You need to recommend a solution to handle the unpredictable application load.
Which scaling method should you recommend?
A. manual scaling
B. horizontal pod autoscaler
C. Azure Container Instances
D. cluster autoscaler
Answer: D
Explanation:
To keep up with application demands in Azure Kubernetes Service (AKS), you may need to adjust the number of nodes that run your workloads. The cluster autoscaler component can watch for pods in your cluster that can't be scheduled because of resource constraints. When issues are detected, the number of nodes is increased to meet the application demand. Nodes are also regularly checked for a lack of running pods, with the number of nodes then decreased as needed. This ability to automatically scale up or down the number of nodes in your AKS cluster lets you run an efficient, cost-effective cluster.
References:
https://docs.microsoft.com/en-us/azure/aks/cluster-autoscaler