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最新的 MCSE 070-452 免費考試真題:

1. You design a Business Intelligence (BI) solution by using SQL Server 2008. The solution contains a SQL
Server 2008 Analysis Services (SSAS) database. A measure group in the database contains log entries of
manufacturing events. These events include accidents, machine failures, production capacity metrics, and
other activities. You need to implement a data mining model that meets the following requirements:
-Predict the frequency of different event types.
-Identify short-term and long-term patterns.
Which algorithm should the data mining model use?

A) the Microsoft Time Series algorithm
B) the Microsoft Decision Trees algorithm
C) the Microsoft Logistic Regression algorithm
D) the Microsoft Linear Regression algorithm

2. You are the lead developer for a SQL Server 2008 data warehousing project. The source database for the project is an online transaction processing (OLTP) system. The OLTP system executes 4,000 transactions every minute during business hours. The OLTP system records only the date and time of insertion of a new
row and not for the updates of existing rows.
You plan to design an extract, transform, and load (ETL) process for the project that populates a data
warehouse from the source database.
The ETL process must be configured in the following manner:
-To run after business hours
-To capture new rows and existing rows that have been modified
You need to ensure that only new rows or modified rows from the database tables are processed by the
ETL process.
What should you do?

A) Configure the data warehouse database to support the Type I Slowly Changing Dimension transformation.
B) Configure the data warehouse database to support the Type II Slowly Changing Dimension transformation.
C) Configure the Change Data Capture feature on all the source database tables that will be processed by the ETL process.
D) Configure the Change Data Capture feature on all the data warehouse database tables that will be processed by the ETL process.

3. You are the administrator of your company network. You use SQL Server 2008 to develop a Business Intelligence (BI) solution. All transaction data of your company is processed in a Point of Sale (POS) application. You work out a solution on the basis of the transaction data, in order to foretell which type of products a customer may buy on a single visit. You have to select the suitable algorithm to design the solution. So which algorithm should you choose?

A) You should use Clustering
B) You should use Time Series
C) You should use Association Rules
D) You should use Naive Bayes

4. You design a Business Intelligence (BI) solution by using SQL Server 2008. You plan to create a SQL
Server 2008 Reporting Services (SSRS) solution. Developers generate random reports against a data
source that contains 200 tables. Power users generate random reports against four of the 200 tables. You
need to design a strategy for the SSRS solution to meet the following requirements:
-Uses minimum amount of development effort.
-Provides two sets of tables in SSRS to the developers group and the power users group.
Which strategy should you use?

A) Create a Report Builder model by using all the tables. Create a perspective within the model to use only the four frequently used tables.
B) Create two Data Source Views. Include all the tables in one Data Source View and the four frequently used tables in the other Data Source View. Create two Report Builder models so that each model uses one of the Data Source Views.
C) Create a Report Builder model by using all the tables. Create two folders. Place the four frequently used tables in the first folder and the remaining tables in the second folder.
D) Create two Report Builder models. Include the four frequently used tables in the first model and all the tables in the second model.

5. You design a Business Intelligence (BI) solution by using SQL Server 2008. The solution has been deployed by using default settings on a SQL Server 2008 Analysis Services (SSAS) instance. The solution has a large cube that processes 10 million fact rows. You frequently encounter out-of-memory exceptions when the cube is processed. You need to recommend a solution to resolve the out-of-memory exceptions when the cube is processed. You want to achieve this task by using the minimum amount of development effort. What should you do?

A) Increase the physical memory available to the SSAS instance by modifying the Memory \TotalMemoryLimit server property.
B) Partition the cube. Process the cube based on each partition.
C) Increase the physical memory available to the SSAS instance by modifying the OLAP\Process \BufferMemoryLimit server property.
D) Reduce the number of aggregations.

問題與答案：