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NEW QUESTION: 1
ウェブアプリケーションは、最大12時間消費されない可能性のあるクリックストリームデータにAmazon Kinesis Streamsを使用しています。
開発者は、Kinesis Streams内のデータの保存時の暗号化をどのように実装できますか？
A. Amazon Kinesis Consumer Libraryを使用する
B. Lambda関数を使用して、データが静止したら暗号化する
C. Kinesis Streamsでサーバー側の暗号化を有効にします
D. KinesisへのSSL接続を有効にします
Answer: C
Explanation:
https://aws.amazon.com/about-aws/whats-new/2017/07/amazon-kinesis-streams-introduces- server-side-encryption /
NEW QUESTION: 2
Answer:
Explanation:
NEW QUESTION: 3
Refer to the exhibit.
The inside and outside interfaces in the NAT configuration of this device have been correctly identified. What is the effect of this configuration?
A. static NAT
B. NAT64
C. PAT
D. dynamic NAT
Answer: C
NEW QUESTION: 4
Windows Server 2019を実行するAzure仮想マシンがいくつかあります。
次の表に示すように、各仮想マシンの個別のイベントIDを識別する必要があります。
Azure Monitorクエリをどのように完了する必要がありますか？回答するには、適切な値を正しい場所にドラッグします。各値は、1回、複数回、またはまったく使用しない場合があります。ペイン間で分割バーをドラッグするか、コンテンツを表示するにはスクロールする必要がある場合があります。
Answer:
Explanation:
Explanation
You can use makelist to pivot data by the order of values in a particular column. For example, you may want to explore the most common order events take place on your machines. You can essentially pivot the data by the order of EventIDs on each machine.
Example:
Event
| where TimeGenerated > ago(12h)
| order by TimeGenerated desc
| summarize makelist(EventID) by Computer
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/log-query/advanced-aggregations