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最新的 MCITP 70-460 免費考試真題:

1. DRAG DROP
You are developing a SQL Server Reporting Services (SSRS) report that sources data from a SQL Azure database and a SQL Server Analysis Services (SSAS) cube. The cube contains a date dimension and other dimensions. The report design includes two report
parameters named StartDate and FinishDate as shown in the following diagram.

The Data Type property of the parameters is set to Date/Time.
You need to create the dataset based on the SSAS cube. You also need to ensure that the dataset is filtered by the existing report parameters.
Which three actions should you perform in sequence? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.)

2. HOTSPOT
A SQL Server Analysis Services (SSAS) cube contains billions of rows of data and is rapidly increasing in size. The cube consists of a single measure group and a single partition. The cube is currently processed by using the Process Full process option.
You have the following requirements to reduce the cube processing time:
Partition the measure group by month.
Create a staging table that contains only data which is more recent than the last
time the cube was processed.
Do not include data updates or deletions in the staging table.
Insert records from the staging table into the appropriate partition.
You need to change the process option to meet the requirements.
Which process option should you choose?
-- --
To answer, select the appropriate option from the drop-down list in the dialog box.

3. You need to implement the aggregation designs for the cube.
What should you do?

A) Use the Aggregation Design Wizard.
B) Implement cache warming in SSAS via an SSIS package.
C) Partition the cube by month.
D) Use the Usage-Based Optimization Wizard.

4. You are designing a customer dimension for a multidimensional OLAP (MOLAP) database. The dimension table will contain millions of rows of data.
Customer dimension attributes will come from the following two sources:
- An enterprise resource planning (ERP) system that contains millions of rows of data. Attributes from this source will be updated daily.
- A marketing database that contains thousands of rows of data representing customers' geographic information. Attributes from this source will be updated monthly.
Most report queries against the cube use attributes from both sources. Customers in the
cube dimension will frequently be filtered by the geographic attributes.
You need to design the dimension table and cube dimension to ensure that report queries perform well, and minimize the time required to reprocess cube attributes.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

A) Create a dimension table for each source. Create one cube dimension that joins the two dimension tables together.
B) Create one dimension table that combines data from both sources. Create one cube dimension that references the dimension table.
C) Create a dimension table for each source, and a cube dimension for each source.
D) Create one dimension table that combines data from both sources. Create a cube dimension for each source.

5. DRAG DROP
You are developing a SQL Server Analysis Services (SSAS) multidimensional project that is configured to source data from a Microsoft Azure SQL Database database. The cube is processed each night at midnight.
The largest partition in the cube takes 12 hours to process, and users are unable to access the cube until noon. The partition must be available for querying as soon as possible after processing commences.
You need to ensure that the partition is available for querying as soon as possible, without using source data to satisfy the query.
Which three actions should you perform in sequence? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.)

問題與答案：