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NEW QUESTION: 1
What does the s# represent in the device special file format of c#t#d#s#?
A. SCSI controller number
B. Target ID number
C. Slice partition number
D. LUN number
Answer: C

NEW QUESTION: 2
複数のコンテナーを使用するAzure Kubernetes Services（AKS）クラスターを展開しています。
クラスタを作成し、コンテナのサービスが正しく設定されて利用可能になっていることを確認する必要があります。
ソリューションを開発するためにどの4つのコマンドを使用する必要がありますか？回答するには、適切なコマンドセグメントをコマンドセグメントのリストから回答領域に移動し、それらを正しい順序で配置します。

Answer:
Explanation:

Explanation:
Step 1: az group create
Create a resource group with the az group create command. An Azure resource group is a logical group in which Azure resources are deployed and managed.
Example: The following example creates a resource group named myAKSCluster in the eastus location.
az group create --name myAKSCluster --location eastus
Step 2 : az aks create
Use the az aks create command to create an AKS cluster.
Step 3: kubectl apply
To deploy your application, use the kubectl apply command. This command parses the manifest file and creates the defined Kubernetes objects.
Step 4: az aks get-credentials
Configure it with the credentials for the new AKS cluster. Example:
az aks get-credentials --name aks-cluster --resource-group aks-resource-group References:
https://docs.bitnami.com/azure/get-started-aks/

NEW QUESTION: 3
You create an Azure web app named WebApp1. WebApp1 has the autoscale settings shown in the following exhibit.


The scale out and scale in rules are configured to have a duration of 10 minutes and a cool down time of five minutes.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: one instance
Refer to scaling condition provided in the question, August 8, 2018 is outside the schedule of the scale condition 1, and Default instance count is 1.
Box 2: two instances
The default instance count is important because autoscale scales your service to that count when metrics are not available. Therefore, select a default instance count that's safe for your workloads.
The Default instance count of scale condition 1 is 4, and the Scale in rule decreases the count with 1.
So initial instance count before scale in condition met = 4
CPU utilization was at 15% for 60 mins so after first 10 mins ( The scale out and scale in rules are configured to have a duration of 10 minutes )instance count reduces by 1 hence after first 10 mins instance count is 4-1=3
Now cool down period is 5 mins , after first 15 mins instance count is 3 .
After next 15 mins , instance count will be 3-1=2.
After next 15 mins , instance count will be =2 because minimum instance count must be 2 , it can't get reduced beyond 2.
So after 60 mins instance count will be at 2.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-best-practices

NEW QUESTION: 4
You are debugging a script component for your project. When the automation executes your script, the intended result does not occur. You suspect that one or more variables within your script are not being set to the proper value. Your version of Pega Robot Studio does not support the use of breakpoints within the script designer.
In what two ways can you debug the script? (Choose two.)
A. Add a breakpoint before calling the script so that you can assign a watch for the variable(s) used within the script.
B. Modify the script so that the variable values are returned in the automation.
C. Enable Runtime logging and enter a diagnostic message to log the variable values during script execution.
D. Check with the Support team to upgrade Robotic Automation Studio to the version which contains script debugging.
Answer: C,D