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Simulating the real exam environment.

NEW QUESTION: 1

A. MySQL
B. Oracle
C. SQL Server
Answer: C

NEW QUESTION: 2
大量のメモリを必要とするサーバーソリューションを設計しています。
メモリチャネルを使用する場合、どのガイドラインに留意する必要がありますか？
A. パフォーマンスを最大化するには、インストールされているすべてのプロセッサー間で合計メモリ容量のバランスをとり、同様にチャネルをロードします
B. 最高の信頼性を得るには、単一のメモリチャネルに異なる速度とサイズのDIMMを取り付けます
C. 同じメモリデータバス上の隣接するソケットに、速度とサイズの異なるメモリDIMMをペアで取り付けます。
D. シングルCPUサーバーでは、最初のメモリDIMMをチャネル1に、2番目をチャネル2に、3番目をチャネル3にというように取り付けます。
Answer: A

NEW QUESTION: 3
A company builds an application to allow developers to share and compare code. The conversations, code snippets, and links shared by people in the application are stored in a Microsoft Azure SQL Database instance.
The application allows for searches of historical conversations and code snippets.
When users share code snippets, the code snippet is compared against previously share code snippets by using a combination of Transact-SQL functions including SUBSTRING, FIRST_VALUE, and SQRT. If a match is found, a link to the match is added to the conversation.
Customers report the following issues:
* Delays occur during live conversations
* A delay occurs before matching links appear after code snippets are added to conversations You need to resolve the performance issues.
Which technologies should you use? To answer, drag the appropriate technologies to the correct issues. Each technology may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: memory-optimized table
In-Memory OLTP can provide great performance benefits for transaction processing, data ingestion, and transient data scenarios.
Box 2: materialized view
To support efficient querying, a common solution is to generate, in advance, a view that materializes the data in a format suited to the required results set. The Materialized View pattern describes generating prepopulated views of data in environments where the source data isn't in a suitable format for querying, where generating a suitable query is difficult, or where query performance is poor due to the nature of the data or the data store.
These materialized views, which only contain data required by a query, allow applications to quickly obtain the information they need. In addition to joining tables or combining data entities, materialized views can include the current values of calculated columns or data items, the results of combining values or executing transformations on the data items, and values specified as part of the query. A materialized view can even be optimized for just a single query.
References:
https://docs.microsoft.com/en-us/azure/architecture/patterns/materialized-view