70-452 Questions & Answers & 70-452 Study Guide & 70-452 Exam Preparation

Microsoft 70-452 : PRO:MS SQL Server 2008, Designing a Business Intelligence

Exam Code: 70-452

Exam Name: PRO:MS SQL Server 2008, Designing a Business Intelligence

Updated: Aug 29, 2026

Q & A: 139 Questions and Answers

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Microsoft 70-452 Exam Syllabus Topics:

SectionObjectives
Design SQL Server Analysis Services (SSAS) Solutions- Design Multidimensional Models
  • 1. Design cubes, dimensions, and measures
    • 2. Design partitions and aggregations
      - Design Data Mining Solutions
      • 1. Select appropriate data mining algorithms
        • 2. Design data mining models
          Design a Business Intelligence (BI) Solution Architecture- Design BI Infrastructure
          • 1. Design scalable BI solutions
            • 2. Design security and deployment strategies
              - Design Data Warehouse Architecture
              • 1. Design data warehouse schemas and storage strategies
                • 2. Design data integration architecture
                  Design SQL Server Integration Services (SSIS) Solutions- Optimize SSIS Solutions
                  • 1. Design performance optimization strategies
                    • 2. Design package management and logging
                      - Design Extract, Transform, and Load (ETL) Processes
                      • 1. Design data cleansing and transformation workflows
                        • 2. Design SSIS package architecture
                          Design SQL Server Reporting Services (SSRS) Solutions- Design Report Development Strategies
                          • 1. Design report models and datasets
                            • 2. Optimize report performance
                              - Design Reporting Architecture
                              • 1. Design report security models
                                • 2. Design report delivery and management strategies

                                  Microsoft PRO:MS SQL Server 2008, Designing a Business Intelligence Sample Questions:

                                  Question 1

                                  You administer a SQL Server 2005 Reporting Services server. Your company publishes reports to a public Web site. Customers can view the reports without providing user credentials. You plan to upgrade the server to use SQL Server 2008 Reporting Services. You need to ensure that customers can continue to view the reports without providing user credentials. What should you do?

                                  A. Enable Anonymous access on the IIS virtual directory.
                                  B. Enable Basic authentication.
                                  C. Select Windows Authentication and add the Guest user account.
                                  D. Use a custom authentication extension.


                                  Question 2

                                  You are the administrator of your company network. You use SQL Server 2008 to develop a Business Intelligence (BI) solution. And you work out a SQL Server 2008 Reporting Services (SSRS) solution. There??s a report named Sales Details in the solution. The report shows the total weekly sales of each employee. Users may view theSales Summary report, they may need the weekly sales details for certain employee. In order to make sure that the users can click a value in the month column of the Sales Summary report to open and render the Sales Details report, you have to do something. So what should you do?

                                  A. You should use a subreport.
                                  B. You should use the drilldown functionality.
                                  C. You should use a bookmark link.
                                  D. You should use a drillthrough report link.


                                  Question 3

                                  You design a Business Intelligence (BI) solution by using SQL Server 2008. You need to load data into your online transaction processing (OLTP) database once a week by using data from a flat file. The file contains all the details about new employees who joined your company last week. The data must be loaded into the tables shown in the exhibit. (Click the Exhibit button.) Employee.EmployeeID is an identity.

                                  A SQL Server 2008 Integration Services (SSIS) package contains one data flow for each of the destination
                                  tables. In the Employee Data Flow, an OLE DB Command transformation executes a stored procedure that
                                  loads the Employee record and returns the EmployeeID value.
                                  You need to accomplish the following tasks:
                                  -Ensure that the EmployeeID is used as a foreign key (FK) in all child tables for the correct Employee
                                  record.
                                  -Minimize the number of round trips to the database.
                                  -Ensure that the package performs in the most efficient manner possible.
                                  What should you do?

                                  A. Use a Lookup Transformation in each of the child table data flows to find the EmployeeID based on first name and last name.
                                  B. Store the EmployeeID values in SSIS variables and use the variables to populate the FK columns in each of the child tables.
                                  C. After the Employee table is loaded, write the data to a Flat File Destination and use the flat file as a source for each of the subsequent Data Flows.
                                  D. After the Employee table is loaded, write the data to a Raw File Destination and use the raw file as a source for each of the subsequent Data Flows.


                                  Question 4

                                  You design a Business Intelligence (BI) solution by using SQL Server 2008. The solution includes a SQL Server 2008 Analysis Services (SSAS) database. The database contains a data mining structure that uses a SQL Server 2008 table as a data source. A table named OrderDetails contains detailed information on product sales. The OrderDetails table includes a column named Markup. You build a data mining model by using the Microsoft Decision Trees algorithm. You classify Markup as discretized content. The algorithm produces a large number of branches for Markup and results in low confidence ratings on predictable columns. You need to verify whether the Markup values include inaccurate data. What should you do?

                                  A. Create a data mining dimension in the SSAS database from OrderDetails.
                                  B. Create a data profile by using SQL Server 2008 Integration Services (SSIS).
                                  C. Modify the content type of Markup as Continuous.
                                  D. Create a cube in SSAS. Use OrderDetails as a measure group. Recreate the data mining structure and mining model from the cube data.


                                  Question 5

                                  You design a Business Intelligence (BI) solution by using SQL Server 2008. A data warehouse named CustomerDW contains a Fact table named FactCustomer. The FactCustomer table contains two columns named CustomerKey and CustomerSales. You create a data mining model named CustomerModel by using SQL Server 2008 Analysis Services (SSAS). A report that is developed by using SQL Server 2008 Reporting Services (SSRS) lists the top 50 customers based on the sales amount. The report extracts data from a SQL Server relational database. You add a column named UpSell to the report. You need to ensure that the UpSell column displays the probability values of the expensive products that customers are likely to purchase.
                                  Which Data Mining Extensions (DMX) query should you use?

                                  A. SELECT PredictProbability(t.[UpSell]) as [UpSell], [CustomerKey], m.[CustomerSales] From [CustomerModel] m PREDICTION JOIN OPENQUERY([CustomerDW], 'SELECT [CustomerKey], [CustomerSales] From FactCustomer ORDER BY [CustomerSales] ') AS t ON m.[CustomerKey] = t.[CustomerKey]
                                  B. SELECT PredictProbability(m.[UpSell]) as [UpSell], [CustomerKey], t.[CustomerSales] From [CustomerModel] m PREDICTION JOIN OPENQUERY([CustomerDW], 'SELECT TOP 50 [CustomerKey], [CustomerSales] FROM FactCustomer ORDER BY [CustomerSales] ') AS t
                                  C. SELECT PredictProbability(m.[UpSell]) as [UpSell], [CustomerKey], t.[CustomerSales] From [CustomerModel] m PREDICTION JOIN OPENQUERY([CustomerDW], 'SELECT TOP 50 [CustomerKey],[CustomerSales] From FactCustomer ORDER BY [CustomerSales] ') AS t ON m.[CustomerKey] = t.[CustomerKey]
                                  D. SELECT Probability(m.[UpSell]) as [UpSell], [CustomerKey], t.[CustomerSales] From [CustomerModel] m PREDICTION JOIN OPENQUERY([CustomerDW], 'SELECT [CustomerKey], [CustomerSales] From FactCustomer ORDER BY [CustomerSales] ') AS t ON m.[CustomerKey] = t.[CustomerKey]


                                  Solutions:

                                  Question 1
                                  Answer: D
                                  Question 2
                                  Answer: D
                                  Question 3
                                  Answer: D
                                  Question 4
                                  Answer: B
                                  Question 5
                                  Answer: C

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