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NEW QUESTION: 1
メディア企業がAWSに多層アーキテクチャを展開しています。 Webサーバーは、デフォルトのAuto Scaling終了ポリシーを持つAuto Scalingグループを使用して、2つのアベイラビリティーゾーンにデプロイされます。
WebサーバーのAuto Scalingグループでは、現在15のインスタンスが実行されています。
スケールイン操作中に、どのインスタンスが最初に終了しますか?
A. グループ内の最も古いインスタンス。
B. ほとんどのインスタンスがあるアベイラビリティーゾーンのインスタンス。
C. 最も古い起動構成を持つインスタンス。
D. 次の請求時間に最も近いインスタンス。
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-instance-termination.html With the default termination policy, the behavior of the Auto Scaling group is as follows: Determine which Availability Zone(s) have the most instances, and at least one instance that is not protected from scale in. If there are multiple unprotected instances to choose from in the Availability Zone(s) with the most instances, an instance is selected for termination based on the following criteria (applied in the order shown).

NEW QUESTION: 2

A. Option B
B. Option D
C. Option A
D. Option E
E. Option C
Answer: B

NEW QUESTION: 3
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 develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species.
You need to add the new images to the classifier.
Solution: You add the new images, and then use the Smart Labeler tool.
Does this meet the goal?
A. No
B. Yes
Answer: A
Explanation:
The model need to be extended and retrained.
Note: Smart Labeler to generate suggested tags for images. This lets you label a large number of images more quickly when training a Custom Vision model.