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NEW QUESTION: 1
For a classic application, what are the two valid methods to extract metadata to a text file?
A. Metadata can be extracted from within FM under extract tasks.
B. Metadata can be extracted from the File > Export menu.
C. You can extract metadata using the EPMA file generator.
D. Metadata can be extracted from an FDM application.
E. Metadata can be extracted from within EPMA Dimension Library.
Answer: A,C
NEW QUESTION: 2
Note This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are a server administrator at a company named Contoso, Ltd.
Contoso has a Windows Server 2016 Hyper-V environment configured as shown in the following table.
All of the virtual switches are of the external type.
You need to ensure that you can move virtual machines between the hosts without causing the virtual machines to disconnect from the network.
Solution: You implement live migration by using Host1 and Host2.
Does this meet the goat?
A. Yes
B. No
Answer: B
NEW QUESTION: 3
アプリケーションは、複数のアベイラビリティーゾーンにまたがるAmazon EC2インスタンスで実行されます。インスタンスは、アプリケーションロードバランサーの背後にあるAmazon EC2 Auto Scalingグループで実行されます。アプリケーションは、EC2インスタンスのCPU使用率が40％以下のときに最高のパフォーマンスを発揮します。グループ内のすべてのインスタンスで望ましいパフォーマンスを維持しますか？
A. 単純なスケーリングポリシーを使用してAuto Scalingグループを動的にスケーリングします
B. スケジュールされたスケーリングアクションを使用して、Auto Scalingグループを拡大および縮小します
C. AWS Lambda関数を使用して、目的のAuto Scalingグループ容量を更新します
D. ターゲットトラッキングポリシーを使用して、Auto Scalingグループを動的にスケーリングします
Answer: D
Explanation:
Reference: https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-scaling-target-tracking.html
"With target tracking scaling policies, you select a scaling metric and set a target value. Amazon EC2 Auto Scaling creates and manages the CloudWatch alarms that trigger the scaling policy and calculates the scaling adjustment based on the metric and the target value. The scaling policy adds or removes capacity as required to keep the metric at, or close to, the specified target value. In addition to keeping the metric close to the target value, a target tracking scaling policy also adjusts to changes in the metric due to a changing load pattern. For example, you can use target tracking scaling to: Configure a target tracking scaling policy to keep the average aggregate CPU utilization of your Auto Scaling group at 40 percent. Configure a target tracking scaling policy to keep the request count per target of your Application Load Balancer target group at 1000 for your Auto Scaling group."
NEW QUESTION: 4
A. Option A
B. Option C
C. Option B
D. Option D
Answer: D
