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NEW QUESTION: 1
次の要件を持つ新しいテーブルを作成することを計画しています:
主キーとしてGUIDデータタイプを使用しています。
主キーとしてクラスタ化インデックスを使用しています。
断片化を最小限に抑えることができます。
あなたはCREATE文に含めるオプションを勧める必要があります。
どのオプションは含まれている必要がありますか。
複数の回答の選択肢は目標を達成することができます。最もよい答えを選択してください。
A. @@IDENTITY
B. NEWSEQUENTIALID
C. IDENTITY
D. NEWID
Answer: B
NEW QUESTION: 2
Which planning dimensions are supported in projects? Note: There are 3 correct answers to this question.
A. Time
B. Quality
C. Revenue
D. Cost
E. Cashflow
Answer: A,C,D
NEW QUESTION: 3
You are developing a SQL Server 2008 Analysis Server (SSAS) method which includes a measure group called TestGroup with a one partition for Company.com.
The condition listed below should be included
*Searches which utilize TestGroup on the newest version of the information.
*In a many aspects format, the whole collections which are member of TestGroup are reserved.
In order to solve the problem, which is the correct answer?
A. You should configure Real-time hybrid online analytical processing (HOLAP)
B. You should configure scheduled relational offline analytical processing (ROLAP).
C. You should configure scheduled online processing (MOLAP).
D. You should configure Real-time relational offline analytical processing (ROLAP).
Answer: A
Explanation:
HYBRID OLAP As its name suggests, HOLAP is a hybrid between MOLAP and ROLAP. In HOLAP, the cube data remains in the relational store, but the aggregations are stored on the SSAS server. HOLAP is the most effi cient mode in terms of disk space because detail-level data is not duplicated, as it is with MOLAP, and HOLAP requires less space to store aggregations than ROLAP does.
EXAM TIP Choose the HOLAP storage mode if you want to store cube aggregations on the SSAS server but keep the fact data in the source database.
In terms of query performance, HOLAP scores in the middle. If the query can be satisfi ed entirely by existing aggregations, HOLAP performs as well as MOLAP. But if it cannot be satisfied, the query is sent to the relational database, and performance suffers. In terms of processing times, HOLAP cubes might be processed faster than either MOLAP or ROLAP cubes because data is read only once to create aggregations. However, because SSAS has an efficient storage architecture, in real life MOLAP and HOLAP should give you comparable processing times, so it is best to consider HOLAP only for large historical partitions that are queried infrequently.