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NEW QUESTION: 1
WebApp1とWebApp2という名前の2つのAzure Webアプリをデプロイする必要があります。 Webアプリには次の要件があります。
* WebApp1はステージングスロットを使用できる必要があります
* WebApp2は、Azure仮想ネットワークにあるリソースにアクセスできる必要があります
各Webアプリの展開に使用できる最もコストの低い計画は何ですか？回答するには、回答領域で適切なオプションを選択します。
注：それぞれの正しい選択は1ポイントの価値があります。

Answer:
Explanation:

Explanation:
References:
https://azure.microsoft.com/en-au/pricing/details/app-service/windows/
https://azure.microsoft.com/en-gb/pricing/details/app-service/plans/

NEW QUESTION: 2
Refer to the exhibit.

You configure a vPC between two Cisco Nexus 7000 Series switches but the peer link will not come up. What is the problem?
A. The configuration is correct. The problem lies elsewhere.
B. The vPC domain numbers must be different.
C. The role priority must be the same.
D. The system priority must be the same.
Answer: D

NEW QUESTION: 3
モノのインターネット（IoS）ソリューションをサポートするデータベースを管理します。 データベースには、毎分1億台以上のデバイスからのメトリックが記録されます。 データベースには99.995％の稼働時間が必要です。
データベースは、サイズが100ギガバイト（GB）のCheckinsという名前のテーブルを使用します。 チェックインテーブルには、デバイスからのメトリックが格納されます。 データベースには、4テラバイト（TB）のデータを保存するArchiveという名前のテーブルもあります。
テーブルへのすべてのアクセスには、ストアドプロシージャを使用します。
待機タイプPAGELATCH_IOが大量のブロッキングを引き起こすことがわかります。
データベースのダウンタイムを最小限に抑えながら、ブロッキングの問題を解決する必要があります。
実行すべき2つのアクションはどれですか？ それぞれの正解はソリューションの一部を示しています。
A. Convert the Checkins table to a clustered columnstore index.
B. Convert the Checkins table to an In-Memory OLTP table.
C. Convert all tables to clustered columnstore indexes.
D. Convert all stored procedures that access the Checkins table to natively compiled procedures.
Answer: B,D
Explanation:
Explanation
Natively compiled stored procedures are Transact-SQL stored procedures compiled to native code that access memory-optimized tables. Natively compiled stored procedures allow for efficient execution of the queries and business logic in the stored procedure.
SQL Server In-Memory OLTP helps improve performance of OLTP applications through efficient, memory-optimized data access, native compilation of business logic, and lock- and latch free algorithms. The In-Memory OLTP feature includes memory-optimized tables and table types, as well as native compilation of Transact-SQL stored procedures for efficient access to these tables.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/in-memory-oltp/natively-compiled-stored-procedures
https://docs.microsoft.com/en-us/sql/relational-databases/in-memory-oltp/memory-optimized-tables