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NEW QUESTION: 1
あなたはリレーショナルデータベースによって支えられるWebアプリケーションを設計しています。アプリケーションは読み取りが重くなり、データベースクエリは計算量が多くなります。
どのようにしてユーザーのアプリケーション全体のレスポンスを向上させることができますか？
A. Amazon SQSを使用して、あまり忙しくないワーカーにメッセージを配信します。
B. data Pipelineを使用して、すべてのWeb層ノードにわたってリレーショナルデータを複製します。
C. 低遅延アクセスのためにElastiCacheを使用して重要なデータをメモリに保存する
D. アプリケーション層にAuto ScalingグループとELB Classic Load Balancerを使用します
Answer: B

NEW QUESTION: 2
DRAG DROP
You are testing an application. The application includes methods named CalculateInterest and LogLine. The CalculateInterest() method calculates loan interest. The LogLine() method sends diagnostic messages to a console window.
You have the following requirements:
* The CalculateInterest() method must run for all build configurations.
* The LogLine() method must be called only for debug builds.
You need to ensure that the methods run correctly.
How should you complete the relevant code? (To answer, drag the appropriate code segments to the correct locations in the answer area. Each code segment 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.)

Answer:
Explanation:

NEW QUESTION: 3
You are designing a mission-critical application that requires high performance. Your analysis concludes that Oracle Exadata would enable you to meet the performance goals. What characteristics of Oracle Exadata make it possible to provide such superior performance?
A. Oracle Exadata uses massively parallel architecture to speed up Oracle data warehouses by offloading data-intensive query processing from the databases.
B. Oracle Exadata uses direct data placement to ensure very low CPU overhead by directly moving data from the wire to database buffers with no extra data copies being made.
C. The Oracle Exadata Storage Server returns a query result set rather than entire tables, eliminates network bottlenecks, and frees up database server resources.
D. By pushing SQL processing to the Oracle Exadata Storage Server, all the disks can operate in parallel, reducing database server CPU consumption while consuming much less bandwidth to move data between storage and database servers.
Answer: A
Explanation:
Explanation/Reference:
To overcome the limitations of conventional storage, Oracle Exadata Storage Servers use a massively parallel architecture to dramatically increase data bandwidth between the database server and storage.
Innovative technologies such as Exadata Smart Scan, Exadata Smart Flash Cache, and Hybrid Columnar Compression enable Exadata to deliver extreme performance for everything from data warehousing to online transaction processing to mixed workloads.

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