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NEW QUESTION: 1
会社は、取引リクエストの処理にミリ秒未満のレイテンシを必要とする株式取引アプリケーションを構築しています。 Amazon DynamoDBは、各リクエストの処理に使用されるすべての取引データを保存するために使用されます。アプリケーションの負荷テストの後、開発チームは、データの取得時間のために、レイテンシ要件が満たされていないことを発見しました。要求の数が突然急増するため、スロットルを回避するには、DynamoDBの読み取り容量を大幅に過剰にプロビジョニングする必要があります。
遅延要件を満たし、アプリケーションの実行コストを削減するには、どのような手順を実行する必要がありますか？
A. DynamoDB Acceleratorを使用して取引データをキャッシュします。
B. 取引データをAmazon S3に保存し、Transfer Accelerationを使用します。
C. DynamoDBクエリの指数バックオフ付きの再試行を追加します
D. 取引データのグローバルセカンダリインデックスを追加します。
Answer: A
Explanation:
Explanation
Refer AWS documentation - DynamoDB Accelerator
Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory cache for DynamoDB that delivers up to a 10x performance improvement - from milliseconds to microseconds - even at millions of requests per second. DAX does all the heavy lifting required to add in-memory acceleration to your DynamoDB tables, without requiring developers to manage cache invalidation, data population, or cluster management. Now you can focus on building great applications for your customers without worrying about performance at scale.

NEW QUESTION: 2
Subscroption1という名前のAzureサブスクリプションがあります。
Subscription1で、Alert1という名前のアラートルールを作成します。
Alert1アクショングループは、次の展示に示すように構成されます。

Alert1アラート基準は、毎分トリガーされます。
ドロップダウンメニューを使用して、図に示されている情報に基づいて各ステートメントを完成させる回答の選択肢を選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: 60
One alert per minute will trigger one email per minute.
Box 2: 12
No more than 1 SMS every 5 minutes can be send, which equals 12 per hour.
Note: Rate limiting is a suspension of notifications that occurs when too many are sent to a particular phone number, email address or device. Rate limiting ensures that alerts are manageable and actionable.
The rate limit thresholds are:
The rate limit thresholds are:
SMS: No more than 1 SMS every 5 minutes.
Voice: No more than 1 Voice call every 5 minutes.
Email: No more than 100 emails in an hour.
Other actions are not rate limited.
References:
https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/monitoring-and-diagnostics/monitoring-overview-alerts.md

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 uses Microsoft SQL Server to deploy a data warehouse to an environment that has a SQL Server Analysis Services (SSAS) instance. The data warehouse includes the Fact.Order table as shown in the following table definition. The table has no indexes.

You must minimize the amount of space that indexes for the Fact.Order table consume. You run the following queries frequently. Both queries must be able to use a columnstore index:

You need to ensure that the queries complete as quickly as possible.
Solution: You create one columnstore index that includes the [Order Date Key], [Tax Amount], and [Total Excluding Tax] columns.
Does the solution meet the goal?
A. Yes
B. No
Answer: A
Explanation:
Explanation
You should use a columnstore index.
Columnstore indexes are the standard for storing and querying large data warehousing fact tables. This index uses column-based data storage and query processing to achieve gains up to 10 times the query performance in your data warehouse over traditional row-oriented storage.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-overview?view=sql-serve