Download New Updated (Spring 2015) Microsoft 70-460 Actual Tests Topic 3, Data Architect

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Topic 3, Data Architect

 

General Background

You are a Data Architect for a company that uses SQL Server 2012 Enterprise edition.

 

You have been tasked with designing a data warehouse that uses the company’s financial database as the data source. From the data warehouse, you will develop a cube to simplify the creation of accurate financial reports and related data analysis.

 

Background

You will utilize the following three servers:

 

clip_image002ServerA runs SQL Server Database Engine. ServerA is a production server and also hosts the financial database.

clip_image002[1]ServerB runs SQL Server Database Engine, SQL Server Analysis Services (SSAS) in multidimensional mode, SQL Server Integration Services (SSIS), and SQL Server Reporting Services (SSRS).

clip_image002[2]ServerC runs SSAS in multidimensional mode.

 

The financial database is used by a third-party application and the table structures cannot be modified.

 

The relevant tables in the financial database are shown in the exhibit. (Click the Exhibit button.)

 

The SalesTransactions table is 500 G8 and is anticipated to grow to 2 TB. The table is partitioned by month. It contains only the last five years of financial data. The CouponUsedOnSale, and Closeout columns contain only the values Yes or No. Each of the other tables is less than 10 MB and has only one partition.

 

The SecurityFilter table specifies the sites to which each user has access.

 

Business Requirements

The extract, transform, load (ETL) process that updates the data warehouse must run daily between 8: 00 P.M.and 5: 00 AM so that it doesn’t impact the performance of ServerA during business hours. The cube data must be available by 8: 00 AM.

 

The cube must meet the following business requirements:

 

clip_image002[3]Ensure that reports display the most current information available.

clip_image002[4]Allow fast access to support ad-hoc reports and data analysis.

 

Business Analysts will access the data warehouse tables directly, and will access the cube by using SSRS, Microsoft Excel, and Microsoft SharePoint Server 2010 PerformancePoint Services. These tools will access only the cube and not the data warehouse.

 

Technical Requirements

SSIS solutions must be deployed by using the project deployment model.

 

You must develop the data warehouse and store the cube on ServerB. When the number of concurrent SSAS users on ServerB reaches a specific number, you must scale out SSAS to ServerC and meet following requirements:

 

clip_image002[5]Maintain copies of the cube on ServerB and ServerC.

clip_image002[6]Ensure that the cube is always available on both servers.

clip_image002[7]Minimize query response time.

 

The cube must meet the following technical requirements:

 

clip_image002[8]The cube must be processed by using an SSIS package.

clip_image002[9]The cube must contain the prior day’s data up to 8: 00 P.M.but does not need to contain same-day data.

clip_image002[10]The cube must include aggregation designs when it is initially deployed.

clip_image002[11]A product dimension must be added to the cube. It will contain a hierarchy comprised of product name and product color.

 

Because of the large size of the SalesTransactions table, the cube must store only aggregations-the data warehouse must store the detailed data. Both the data warehouse and the cube must minimize disk space usage.

 

As the cube size increases, you must plan to scale out to additional servers to minimize processing time.

 

The data warehouse must use a star schema design. The table design must be as denormalized as possible. The history of changes to the Customer table must be tracked in the data warehouse. The cube must use the data warehouse as its only data source.

 

Security settings on the data warehouse and the cube must ensure that Queries against the SalesTransactions tablereturn only records from the sites to which the current user has access.

 

The ETL process must consist of multiple SSIS packages developed in a single project by using the least amount of effort. The SSIS packages must use a database connection string that is set at execution time to connect to the financial database. All data in the data warehouse must be loaded by the SSIS packages.

 

You must create a Package Activity report that meets the following requirements:

 

clip_image002[12]Track SSIS package execution data (including package name, status, start time, end time, duration, and rows processed).

clip_image002[13]Use the least amount of development effort.

 

Exhibit

Financial Database tables:

 

clip_image004

 

 

QUESTION 10

You need to design a cube partitioning strategy to be implemented as the cube size increases. What should you do?

 

A.

Implement monthly remote partitions.

B.

Implement monthly local partitions.

C.

Use multidimensional OLAP (MOLAP) on all local partitions.

D.

Use relational OLAP (ROLAP) on all local partitions.

 

Correct Answer: B

 

 

QUESTION 11

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

 

A.

Implement cache warming in SSAS via an SSIS package.

B.

Use the Usage-Based Optimization Wizard.

C.

Use the Aggregation Design Wizard.

D.

Partition the cube by month.

 

Correct Answer: B

 

 

 

 

 

 

QUESTION 12

You need to select the appropriate storage settings for the cube. Which settings should you choose?

 

A.

hybrid OLAP (HOLAP) with proactive caching disabled

B.

hybrid OLAP (HOLAP) with proactive caching enabled

C.

relational OLAP (ROLAP) with proactive caching enabled

D.

multidimensional OLAP (MOLAP) with proactive caching enabled and a rebuild interval of 24 hours

 

Correct Answer: B

 

 

QUESTION 13

You need to implement security in the cube to limit the sites visible to each user. What should you do?

 

A.

Create an SSAS database role in the cube for each user and assign the sites each user can access to his or her database role.

B.

Create an SSAS server role for each user and assign the sites each user can access to his or her server role.

C.

Create an SSAS database role and define a Multidimensional Expressions (MDX) calculation to implement dynamic dimension security.

D.

Create a view on the SalesTransactions table that uses the SecurityFilter and User table data to limit the sites for each user.

 

Correct Answer: C

 

 

QUESTION 14

You need to restrict access to data in the tables in the data warehouse. What should you do?

 

A.

Create views and grant permissions to the views.

B.

Configure column-level permissions.

C.

Configure database roles.

D.

Configure application roles.

 

Correct Answer: D

 

 

 

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