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NEW QUESTION: 1
You need to redesign the system to meet the scalability requirements of the application.
Develop the solution by selecting and arranging the required code blocks in the correct order.
You may not need all of the code blocks.
Select and Place:

Answer:
Explanation:

Explanation/Reference:
Note:
* MEMORY_OPTIMIZED_DATA
First create a memory-optimized data filegroup and add a container to the filegroup.
Then create a memory-optimized table.
* You must specify a value for the BUCKET_COUNT parameter when you create the memory- optimized table. In most cases the bucket count should be between 1 and 2 times the number of distinct values in the index key.
* Example:
-- create a durable (data will be persisted) memory-optimized table -- two of the columns are indexed CREATE TABLE dbo.ShoppingCart (
ShoppingCartId INT IDENTITY(1,1) PRIMARY KEY NONCLUSTERED, UserId INT NOT NULL INDEX ix_UserId NONCLUSTERED HASH WITH (BUCKET_COUNT=1000000),
CreatedDate DATETIME2 NOT NULL,
TotalPrice MONEY
) WITH (MEMORY_OPTIMIZED=ON)
GO

NEW QUESTION: 2
DRAG DROP



"watermelon" : "3" }

Select and Place:

Answer:
Explanation:

NEW QUESTION: 3
現在、アプリケーションはAWS Auto Scalingを利用して、負荷の増加/減少に応じて拡大および縮小し、良好に機能しています。マーケティングチームは、トラフィックが着実に増加し、4週間でトラフィックが20倍に増加する次のキャンペーンに続くと予想しています。ピーク需要を満たすために必要なAmazon EC2インスタンスのおおよその数の予測は175です。
トラフィックの増加中にサービスが中断する可能性を回避するにはどうすればよいですか？
A. Trusted Advisorのサービス制限を確認し、予測数が制限内に収まるように必要に応じて調整します。
B. Elastic Load Balancerを事前にウォームアップして、マーケティングキャンペーンの前のピーク需要時に予測される1秒あたりのリクエスト数に合わせます
C. 各サーバーが起動時にアドレスを取得できるように、175個のElastic IPアドレスが事前に割り当てられていることを確認してください
D. マーケティングキャンペーンの開始前に、Auto Scaling構成を変更して、希望する容量を175に設定します
Answer: B
Explanation:
説明
Amazon ELBは、お客様の大部分のユースケースを必要とせずに処理できます
「事前ウォーミング」（予想されるトラフィックに基づいて適切なレベルの容量を持つようにロードバランサーを構成する）
参照：