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NEW QUESTION: 1
会社は、TCPベースのアプリケーションを会社のVPCに移行することを計画しています。アプリケーションは、ハードウェアap .....センターを介して非標準のTCPポートでパブリックにアクセスできます。このパブリックエンドポイントは、低レイテンシで1秒あたり最大300万件のリクエストを処理できます。同社は、新しいパブリックエンドポイントに対して同じレベルのパフォーマンスを必要としています。
この要件を満たすために、ソリューションアーキテクトは何を推奨する必要がありますか？
A. ネットワークロードバランサー（NLB）を展開します。アプリケーションが必要とするTCPポートを介してパブリックにアクセスできるようにNLBを構成します。
B. アプリケーションロードバランサー（ALB）をデプロイします。アプリケーションが必要とするTCPポートを介してパブリックにアクセスできるようにALBを構成します。
C. アプリケーションが必要とするTCPポートでリッスンするAmazonCloudFrontディストリビューションをデプロイします。
原点としてアプリケーションロードバランサーを使用します。
D. アプリケーションが必要とするTCPポートで設定されたAmazon API GatewayAPIをデプロイします。
プロビジョニングされた同意を使用してAWSLambda関数を設定します。
Answer: A

NEW QUESTION: 2



A. Replace line 15 with the following code segment: loanRate = 0.065m;
B. Replace line 17 with the following code segment: interestAmount = loanAmount * 0.065m * loanTerm;
C. Replace line 07 with the following code segment: loanRate = 0.065m;
D. Replace line 04 with the following code segment: decimal loanRate = 0.065m;
Answer: A
Explanation:
Explanation
Line 15 will be executed when the loanTerm value is 5.

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.
Your company has sales offices in several cities.
You create a table that represents the amount of sales in each city by month as shown in the exhibit.

You need to ensure that all values lower than 250 display a red icon. The solution must ensure that all values greater than 500 display a green icon.
Solution: You modify the conditional formatting rule, and then set a new value for the yellow icon.
Does this meet the goal?
A. No
B. Yes
Answer: A

NEW QUESTION: 4
You are designing a data processing solution that will implement the lambda architecture pattern. The solution will use Spark running on HDInsight for data processing.
You need to recommend a data storage technology for the solution.
Which two technologies should you recommend? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Azure Cosmos DB
B. Apache Cassandra
C. Azure Service Bus
D. Azure Storage Queue
E. Kafka HDInsight
Answer: A
Explanation:
Explanation
To implement a lambda architecture on Azure, you can combine the following technologies to accelerate realtime big data analytics:
Azure Cosmos DB, the industry's first globally distributed, multi-model database service.
Apache Spark for Azure HDInsight, a processing framework that runs large-scale data analytics applications Azure Cosmos DB change feed, which streams new data to the batch layer for HDInsight to process The Spark to Azure Cosmos DB Connector E: You can use Apache Spark to stream data into or out of Apache Kafka on HDInsight using DStreams.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/lambda-architecture