Microsoft, Microsoft SQL Server 2012

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Exam Code: 070-463
Exam Name: Implementing a Data Warehouse with Microsoft SQL Server 2012
Updated: Jun 03, 2017
Q&As: 230
Exam Information: http://www.pass4itsure.com/070-463.html

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070-463

Latest Microsoft 070-463 PDF Exam Questions and Answers Updated (June 2017)#8-18

Question No : 8 DRAG DROP – (Topic 1) A new SQL Server Integration Services (SSIS) project is deployed to the SSIS catalog.To troubleshoot some data issues, you must output the data streaming through several data flows into text files for further analysis. You have the list of data flow package paths and identification strings of the various task components that must be analyzed. You need to create these output files with the least amount of administrative and
development effort. Which three stored procedures should you execute in sequence? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.)
070-463

 

 

Question No : 9 – (Topic 1)  You are reviewing the design of an existing fact table named factSales, which is loaded
from a SQL Azure database by a SQL Server Integration Services (SSIS) package each
day. The fact table has approximately 1 billion rows and is dimensioned by product, sales
date, and sales time of day.
070-463The database administrator is concerned about the growth of the database. Users report poor reporting performance against this database. Reporting requirements have recently changed and the only remaining report that uses this fact table reports sales by product name, sale month, and sale year. No other reports will be created against this table. You need to reduce the report processing time and minimize the growth of the database.What should you do?
A. Partition the table by product type.
B. Create a view over the fact table to aggregate sales by month.
C. Change the granularity of the fact table to month.
D. Create an indexed view over the fact table to aggregate sales by month.
Answer: C

 

 

Question No : 10 – (Topic 1)  You are designing a data warehouse with two fact tables. The first table contains sales per
month and the second table contains orders per day. Referential integrity must be enforced declaratively.  ✑ ✑
You need to design a solution that can join a single time dimension to both fact tables.
What should you do?
A. Create a time mapping table.
B. Change the level of granularity in both fact tables to be the same.
C. Merge the fact tables.
D. Create a view on the sales table.
Answer: C
You are designing a data warehouse for a software distribution business that stores sales
by software title. It stores sales targets by software category. Software titles are classified
into subcategories and categories. Each software title is included in only a single software
subcategory, and each subcategory is included in only a single category. The data
warehouse will be a data source for an Analysis Services cube.
The data warehouse contains two fact tables:
factSales, used to record daily sales by software title
factTarget, used to record the monthly sales targets by software category
Reports must be developed against the warehouse that reports sales by software title,
category and subcategory, and sales targets.

 

 

Question No : 11 – (Topic 1)  You need to design the software title dimension. The solution should use as few tables as
possible while supporting all the requirements.What should you do?
A. Create three software tables, dimSoftware, dimSoftwareCategory, and
dimSoftwareSubcategory and a fourth bridge table that joins software titles to their
appropriate category and subcategory table records with foreign key constraints. Direct the
cube developer to use key granularity attributes.
B. Create three software tables, dimSoftware, dimSoftwareCategory, and
dimSoftwareSubcategory. Connect factSales to all three tables and connect factTarget to
dimSoftwareCategory with foreign key constraints. Direct the cube developer to use key
granularity attributes.
C. Create one table, dimSoftware, which contains Software Detail, Category, and  Subcategory columns. Connect factSales to dimSoftware with a foreign key constraint.
Direct the cube developer to use a non-key granularity attribute for factTarget.
D. Create two tables, dimSoftware and dimSoftwareCategory. Connect factSales to
dimSoftware and factTarget to dimSoftwareCategory with foreign key constraints. Direct
the cube developer to use key granularity attributes.
Answer: C

 


Question No : 12 – (Topic 1) You are designing a data warehouse hosted on SQL Azure. The data warehouse currently
includes the dimUser and dimDistrict dimension tables and the factSales fact table. The dimUser table contains records for each user permitted to run reports against the warehouse; and the dimDistrict table contains information about sales districts. The system is accessed by users from certain districts, as well as by area supervisors and users from the corporate headquarters. You need to design a table structure to ensure that certain users can see sales data for only certain districts. Some users must be permitted to see sales data from multiple districts.
What should you do?
A. Add a district column to the dimUser table.
B. Partition the factSales table on the district column.
C. Create a userDistrict table that contains primary key columns from the dimUser and
dimDistrict tables.
D. For each district, create a view of the factSales table that includes a WHERE clause for
the district.
Answer: C

 

 

Question No : 13 – (Topic 1)  You are reviewing the design of a customer dimension table in an existing data warehousehosted on SQL Azure.  ✑ ✑ ✑ ✑ ✑ ✑ ✑ ✑ ✑ ✑ The current dimension design does not allow the retention of historical changes to customer attributes such as Postcode. You need to redesign the dimension to enable the full historical reporting of changes to multiple customer attributes including Postcode.What should you do?
A. Add StartDate and EndDate columns to the customer dimension.
B.Add an IsCurrent column to the customer dimension.
C. Enable Snapshot Isolation on the data warehouse.
D. Add CurrentValue and PreviousValue columns to the customer dimension.
Answer: A

 


Question No : 14 – (Topic 1)  You are implementing the indexing strategy for a fact table in a data warehouse. The fact
table is named Quotes. The table has no indexes and consists of seven columns:
[ID]
[QuoteDate]
[Open]
[Close]
[High]
[Low]
[Volume]
Each of the following queries must be able to use a columnstore index:
SELECT AVG ([Close]) AS [AverageClose] FROM Quotes WHERE [QuoteDate]
BETWEEN ‘20100101’ AND ‘20101231’.
SELECT AVG([High] – [Low]) AS [AverageRange] FROM Quotes WHERE
[QuoteDate] BETWEEN ‘20100101’ AND ‘20101231’.
SELECT SUM([Volume]) AS [SumVolume] FROM Quotes WHERE [QuoteDate]
BETWEEN ‘20100101’ AND ‘20101231’.
You need to ensure that the indexing strategy meets the requirements. The strategy must
also minimize the number and size of the indexes.
What should you do?
A. Create one columnstore index that contains [ID], [Close], [High], [Low], [Volume], and  [QuoteDate].
B. Create three coiumnstore indexes:
One containing [QuoteDate] and [Close]
One containing [QuoteDate], [High], and [Low]
One containing [QuoteDate] and [Volume]
C. Create one columnstore index that contains [QuoteDate], [Close], [High], [Low], and
[Volume].
D. Create two columnstore indexes:
One containing [ID], [QuoteDate], [Volume], and [Close]
One containing [ID], [QuoteDate], [High], and [Low]
Answer: C

 

Question No : 15 – (Topic 1) You are designing an enterprise star schema that will consolidate data from three
independent data marts. One of the data marts is hosted on SQL Azure. Most of the dimensions have the same structure and content. However, the geography dimension is slightly different in each data mart. You need to design a consolidated dimensional structure that will be easy to maintain while ensuring that all dimensional data from the three original solutions is represented. What should you do?
A. Create a junk dimension for the geography dimension.
B. Implement change data capture.
C. Create a conformed dimension for the geography dimension.
D. Create three geography dimensions.
Answer: C

 

Question No : 16 – (Topic 1)
To facilitate the troubleshooting of SQL Server Integration Services (SSIS) packages, a
logging methodology is put in place.
The methodology has the following requirements:
The deployment process must be simplified.
All the logs must be centralized in SQL Server.
Log data must be available via reports or T-SQL.
Log archival must be automated.
You need to configure a logging methodology that meets the requirements while minimizing
the amount of deployment and development effort.
What should you do?
A. Open a command prompt and run the gacutil command.
B. Open a command prompt and execute the package by using the SQL Log provider and
running the dtexecui.exe utility.
C. Add an OnError event handler to the SSIS project.
D. Use an msi file to deploy the package on the server.
E. Configure the output of a component in the package data flow to use a data tap.
F. Run the dtutil command to deploy the package to the SSIS catalog and store the
configuration in SQL Server.
G. Open a command prompt and run the dtexec /rep /conn command.
H. Open a command prompt and run the dtutil /copy command.
I. Open a command prompt and run the dtexec /dumperror /conn command.
J. Configure the SSIS solution to use the Project Deployment Model.
K. Create a reusable custom logging component and use it in the SSIS project.
Answer: J
Explanation:
References:

 

Question No : 17 – (Topic 1)  You are developing a SQL Server Integration Services (SSIS) project that copies a large amount of rows from a SQL Azure database. The project uses the Package Deployment  Model. This project is deployed to SQL Server on a test server.
You need to ensure that the project is deployed to the SSIS catalog on the production
server.What should you do?
A. Open a command prompt and run the dtexec /dumperror /conn command.
B. Create a reusable custom logging component and use it in the SSIS project.
C. Open a command prompt and run the gacutil command.
D. Add an OnError event handler to the SSIS project.
E. Open a command prompt and execute the package by using the SQL Log provider and
running the dtexecui.exe utility.
F. Open a command prompt and run the dtexec /rep /conn command.
G. Open a command prompt and run the dtutil /copy command.
H. Use an msi file to deploy the package on the server.
I. Configure the SSIS solution to use the Project Deployment Model.
J. Configure the output of a component in the package data flow to use a data tap.
K. Run the dtutil command to deploy the package to the SSIS catalog and store the
configuration in SQL Server.
Answer: I

 

Question No : 18 – (Topic 1)  You are developing a SQL Server Integration Services (SSIS) package.
To process complex scientific data originating from a SQL Azure database, a custom task
component is added to the project. You need to ensure that the custom component is deployed on a test environment
correctly. What should you do?
A. Add an OnError event handler to the SSIS project.
B. Open a command prompt and run the gacutil command.
C. Configure the SSIS solution to use the Project Deployment Model.
D. Open a command prompt and run the dtexec /dumperror /conn command.
E. Configure the output of a component in the package data flow to use a data tap.
F. Open a command prompt and execute the package by using the SQL Log provider and
running the dtexecui.exe utility.
G. Open a command prompt and run the dtexec /rep /conn command.
H. Run the dtutil command to deploy the package to the SSIS catalog and store the
configuration in SQL Server.
I. Use an msi file to deploy the package on the server.
J. Open a command prompt and run the dtutil /copy command.
K. Create a reusable custom logging component and use it in the SSIS project.
Answer: B
Reference:

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