Microsoft 70-452 - PDF電子當

70-452 pdf
  • 考試編碼:70-452
  • 考試名稱:PRO:MS SQL Server 2008, Designing a Business Intelligence
  • 更新時間:2025-06-25
  • 問題數量:139 題
  • PDF價格: $59.98
  • 電子當(PDF)試用

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  • 考試編碼:70-452
  • 考試名稱:PRO:MS SQL Server 2008, Designing a Business Intelligence
  • 更新時間:2025-06-25
  • 問題數量:139 題
  • PDF電子當 + 軟件版 + 在線測試引擎(免費送)
  • 套餐價格: $119.96  $79.98
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Microsoft 70-452 - 軟件版

70-452 Testing Engine
  • 考試編碼:70-452
  • 考試名稱:PRO:MS SQL Server 2008, Designing a Business Intelligence
  • 更新時間:2025-06-25
  • 問題數量:139 題
  • 軟件版價格: $59.98
  • 軟件版

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最新的 MCTS 70-452 免費考試真題:

1. You are the administrator of your company network. You use SQL Server 2008 to develop a Business Intelligence (BI) solution. There's a data warehouse named ClientA, it contains a Fact table named FactClient which has two columns named ClientMain and ClientSell. You use SQL Server 2008 Analysis Services (SSAS) to create a data mining model named ClientModel. You also use SQL Server 2008 Reporting Services (SSRS) to create a report, it is used to list the top 30 clients according to the sales amount. You add a column named Wellsale to the report which takes data from a SQL Server relational database. Now you must make sure that the Wellsale column displays the probability values of the expensive products that customers are intend to buy. So what Data Mining Extensions (DMX) query should you use?

A) SELECT PredictProbability(m.[Wellsale]) as [Wellsale], t.[ClientMain], t.[Clientsell] From [ClientModel] m PREDICTION JOIN OPENQUERY([ClientA], 'SELECT TOP 50 [ClientMain], [Clientsell] FROM FactClient ORDER BY [Clientsell] ') AS t
B) SELECT Probability(m.[Wellsale]) as [Wellsale], t.[ClientMain], t.[Clientsell] From [ClientModel] m PREDICTION JOIN OPENQUERY([ClientA], 'SELECT [ClientMain], [Clientsell] From FactClient ORDER BY [Clientsell] ') AS t ON m.[ClientMain] = t.[ClientMain]
C) SELECT PredictProbability(t.[Wellsale]) as [Wellsale], m.[ClientMain], m.[Clientsell] From [ClientModel] m PREDICTION JOIN OPENQUERY([ClientA], 'SELECT [ClientMain], [Clientsell] From FactClient ORDER BY [Clientsell] ') AS t ON m.[ClientMain] = t.[ClientMain]
D) SELECT PredictProbability(m.[Wellsale]) as [Wellsale], t.[ClientMain], t.[Clientsell] From [ClientModel] m PREDICTION JOIN OPENQUERY([ClientA], 'SELECT TOP 50 [ClientMain],[Clientsell] From FactClient ORDER BY [Clientsell] ') AS t ON m.[ClientMain] = t.[ClientMain]


2. You design a Business Intelligence (BI) solution by using SQL Server 2008. You are building an extract,
transform, and load (ETL) process by using SQL Server 2008 Integration Services (SSIS).
You stage data in a SQL Server 2008 database. You load a data warehouse that has 15 dimension tables
and 3 fact tables.
You need to design a control flow that meets the following requirements:
-Each table must be loaded with its own SSIS package. All packages must be controlled from a master
package.
-Dimension tables must have no interdependencies.
-Dimension tables must load without error before the Fact tables are loaded.
-Master package parallelism must be maximized.
What should you do?

A) Place the dimension packages in a sequence container. Use a precedence constraint set to Success to connect another sequence container holding the Fact packages. Set the FailParentOnFailure property to True for each dimension package.
B) Connect the dimension packages by using a precedence constraint set to Success. Connect the Fact packages to the end of the dimension packages by using a precedence constraint set to Success. Set the FailPackageOnFailure property to True for each dimension package.
C) Place an Execute Package task inside a Foreach Loop container and change the connection string for the Execute Package task on each iteration. Connect the Fact packages to the end of the Foreach Loop container by using a precedence constraint set to Success. Set the FailPackageOnFailure property to True for the Foreach Loop container.
D) Place the dimension packages in a sequence container and connect them by using a precedence constraint set to Success. Use a precedence constraint set to Success to connect another sequence container holding the Fact packages.


3. You design a Business Intelligence (BI) solution by using SQL Server 2008. The SQL Server 2008 instance
hosts a database. The database is currently scheduled for a full backup on a monthly basis.
The 4-terabyte database contains 3.5 terabyte of data in a read-only filegroup. The database uses the
bulk-logged recovery model.
You need to back up the database changes to a tape drive every night by using minimum storage space
and time.
Which backup strategy should you use?

A) Differential Partial backup
B) Partial backup
C) File backup
D) Differential backup


4. You design a Business Intelligence (BI) solution by using SQL Server 2008. You plan to create a SQL
Server 2008 Reporting Services (SSRS) report. The report must display the list of orders placed through the
Internet.
You need to ensure that the following requirements are met:
-The amount of time required for processing the report is minimal.
-The report contains the most recent data at the end of each business day.
-A report is available for any of the last seven days.
Which type of report should you create?

A) Cached
B) Ad Hoc
C) Snapshot
D) Linked


5. You design a SQL Server 2008 Analysis Services (SSAS) solution. You have the following requirements for
a single data mining model:
-Group all customers by two different age ranges.
-Group all customers by ten different age ranges.
You need to design the model to meet the requirements.
What should you include in the design?

A) two columns, each of the Long data type and the Discrete content type
B) one column of the Long data type and the Discrete content type
C) one column of the Long data type and the Continuous content type
D) two columns, each of the Long data type and the Discretized content type


問題與答案:

問題 #1
答案: D
問題 #2
答案: A
問題 #3
答案: A
問題 #4
答案: C
問題 #5
答案: D

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