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NEW QUESTION: 1
You create a virtual machine scale set named Scale1. Scale1 is configured as shown in the following exhibit.
The subscription contains the Azure SQL databases shown in the following table.

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:
The Autoscale scale out rule increases the number of VMs by 2 if the CPU threshold is 80% or higher. The initial instance count is 4 and rises to 6 when the 2 extra instances of VMs are added.
Box 2:
The Autoscale scale in rule decreases the number of VMs by 4 if the CPU threshold is 30% or lower. The initial instance count is 4 and thus cannot be reduced to 0 as the minimum instances is set to 2. Instances are only added when the CPU threshold reaches 80%.
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-overview
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-best-practices
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-common-scale-patterns

NEW QUESTION: 2
先を見越して、アナリストは来月監査人が訪問する前にサンプルワークステーションに対して評価を実行しました。 スキャン結果は次のとおりです。

スキャンの出力に基づいて、次のうちどれが最も良い答えですか？
A. コンプライアンスチェックに失敗した
B. 資産インベントリの失敗
C. 成功した機密レベルチェック
D. 認証情報スキャンの失敗
Answer: D

NEW QUESTION: 3
You have a dataset that is missing values in a column named Column3. Column3 is correlated to two columns named Column4 and Column5.
You need to improve the accuracy of the dataset, while minimizing data loss.
What should you do?
A. Remove the rows that have the missing values in Column3.
B. Replace the missing values in Column3 by using probabilistic Principal Component Analysis (PCA).
C. Remove all of the rows that have the missing values in Column4 and Column5.
D. Replace the missing values in Column3 with a mean value.
Answer: B
Explanation:
Explanation/Reference:
Explanation: