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NEW QUESTION: 1
Joe, ein Benutzer, möchte, dass sein Desktop-RAID so konfiguriert wird, dass es die schnellste Geschwindigkeit und die höchste Speicherkapazität ermöglicht. Sein Desktop verfügt über drei Festplatten. Welchen der folgenden RAID-Typen sollte ein Techniker konfigurieren, um dies zu erreichen?
A. 0
B. 1
C. 2
D. 3
Answer: B
NEW QUESTION: 2
注：この質問は同じシナリオを提示する一連の質問の一部です。連載の各質問には、記載されている目標を達成できる可能性のある固有の解決策が含まれています。他の人が正しい解決策を持っていないかもしれない間、いくつかの質問セットは複数の正しい解決策を持つかもしれません。
このセクションで質問に答えた後は、それに戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
オンプレミスのMicrosoft SQL Serverインスタンスを、Microsoft Azure仮想マシン上のSQL Serverに移行しています。インスタンスには30のデータベースがあり、合計2 TBのディスクスペースを消費します。
インスタンスは1秒間に30,000以上のトランザクションを処理します。
仮想マシン用のストレージをプロビジョニングする必要があります。ストレージは、オンプレミス展開と同じ負荷をサポートできなければなりません。
解決方法：それぞれ1つのコンテナを持つ30のストレージアカウントを作成します。各コンテナーにVHDを作成します。
これは目標を達成していますか？
A. いいえ
B. はい
Answer: B
Explanation:
Explanation
Each Storage Account handles up to 20.000 IOPS, and 500TB of data.
References: https://www.tech-coffee.net/understand-microsoft-azure-storage-for-virtual-machines/
NEW QUESTION: 3
What are the two disadvantages of implementing Query Caching?
A. Increased network traffic
B. Cache results being old
C. Needs a lot of administrators' time
D. Reduction in BI server processing time
E. Storage space for cache
Answer: B,E
Explanation:
Explanation
B: The problem with caching of any kind is how to deal with stale data. How you decide to deal with this depends on how time critical your business intelligence queries happen to be. OBIEE provides a wide variety of mechanisms for dealing with stale data. The cache can be purged automatically at intervals. Caching can be enabled selectively for individual physical tables, so that data in a frequently updated table is never cached.
OBIEE provides a set of ODBC procedures that can be called when ETL processes complete to programmatically purge designated tables. But, by far the best way to selectively purge the cache is to use an event polling table. This table is populated by the client database whenever changes are made to any table (by an ETL process for a data warehouse or by a table-based trigger for an OLTP database). At specified intervals the BI Server polls this event polling table and deletes from its cache any query results that are dependent on the changed data.
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