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NEW QUESTION: 1
A startup company recently migrated a large ecommerce website to AWS. The website has experienced a 70% increase in sales. Software engineers are using a private GitHub repository to manage code. The develops team is using Jenkins for builds and unit testing .The engineers need to receive notifications for bad builds end zero downtime duding deployments. The engineers also need to ensure any changes to production are seamless for users and can be rolled back in the event of a major issue.
The software engineers have decided to use AWS CodePipline to manage their build and deployment process.
Which solution will meet these requirements?
A. Use GitHub webhooks to trigger the CodePipeline pipeline. Use AWS X-Ray for unit testing and static code analysis. Send alerts to an Amazon SNS topic for any had builds Deploy in an in-place, all-at-once deployment configuration using AWS CodeDeploy.
B. Use GitHub webhooks to trigger the CodePipeline pipeline Use the Jenkins plugin for AWS CodeBuild to conduct unit testing. Send alerts to an Amazon SNS topic for any bad builds. Deploy in a blue/green deployment using AWS CodeDeploy.
C. Use GitHub websockets to trigger the CodePipeline pipeline. Use the Jenkins plug in for AWS CodeBuild to conduct unit testing. Send alerts to an Amazon SNS topic for any bad builds Deploy in an in-place all-at-once deployment configuration using AWS CodeDeploy.
D. Use GitHub websockets to trigger the CodePipelin pipeline. Use AWS X-Ray for unit testing and static code analysis. Send alerts to an Amazon SNS topic for any bad builds Deploy in a blue/green deployment using AWS CodeDeploy.
Answer: B

NEW QUESTION: 2
A router that acts as an Internet border gateway has multiple upstream connections that are used in a load-sharing setup. The NOC has identified a DDoS attack from a specific source entering its network via interface GigabitEthernet0/1.
The NOC wants to block this suspicious traffic on the border router in a scalable way and without major changes to the different interface configurations.
Which configuration would block the DDoS attack from the known source (194.90.1.5)?
A. interface GigabitEthernet0/1ip address 192.168.1.1 255.255.255.252ip verify unicast source reachable-via rx!ip route 194.90.1.5 255.255.255.255 Null0
B. interface GigabitEthernet0/1ip address 192.168.1.1 255.255.255.252ip verify unicast source reachable-via any!ip route 194.90.1.5 255.255.255.255 Null0
C. interface GigabitEthernet0/1ip address 192.168.1.1 255.255.255.252ip verify unicast source reachable-via rx!ip route 194.90.1.5 255.255.255.255 192.168.1.2
D. interface GigabitEthernet0/1ip address 192.168.1.1 255.255.255.252ip verify unicast source
reachable-via any!ip route 194.90.1.5 255.255.255.255 192.168.1.2
Answer: B

NEW QUESTION: 3
注：この質問は、同じまたは類似の回答の選択肢を使用する一連の質問の一部です。 回答の選択は、シリーズの複数の質問に対して正しい場合があるためです。 各質問は、このシリーズの他の質問から独立しています。
質問で提供される情報と詳細は、その質問にのみ適用されます。
次のテーブルを含むDB1という名前のMicrosoft SQL Serverデータベースがあります。

ユーザーは次のクエリを頻繁に実行します。

ユーザーは、クエリが結果を返すのに時間がかかると報告しています。
クエリがデータを返すのに必要な時間を最小限に抑える必要があります。
あなたは何をするべきか？
A. Create CHECK constraints on both TBL1 and TBL2.. Create a partitioned view that combines columns fromTBL1 and TBL2.
B. Create a clustered index on TBL1. Create a nonclustered index on TBL2 and add the most frequently queried columns as included columns.
C. Drop existing indexes on tbli and then create a clustered columnstore index. Create a nonclustered columnstore index on tbli. Make no changes to TBL2.
D. Create clustered indexes on TBL1 and TBL2.
E. Create a nonclustered index on TBL2 only.
F. Create an indexed view that combines columns from TBL1 and TBL2.
G. Create unique constraints on both TBL1 and TBL2. Create a partitioned view that combines columns from TBL1 and TBL2.
H. Drop existing indexes on TBL1 and then create a clustered columnstore index. Create a nonclustered columnstore index on TBL1. Create a nonclustered index on TBL2.
Answer: F