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Code d'Examen: 070-648
Nom d'Examen: Microsoft (TS: Upgrading MCSA on Windows serv 2003 to Windows Serv 2008)
Questions et réponses: 428 Q&As
Code d'Examen: 70-463
Nom d'Examen: Microsoft (Implementing a Data Warehouse with Microsoft SQL Server 2012)
Questions et réponses: 221 Q&As
Code d'Examen: 70-504-VB
Nom d'Examen: Microsoft (TS: MS.NET Frmewk 3.5, Workflow Foundation App Dev)
Questions et réponses: 96 Q&As
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NO.1 You are developing a project that contains multiple SQL Server Integration Services (SSIS)
packages.The packages will be deployed to the SSIS catalog.One of the steps in each package accesses
an FTP site to download sales transaction data.
You create project parameters to store the username and password that are used to access the FTP site.
You need to ensure that the username and password values are encrypted when they are deployed.
What should you do?
A.set the Sensitive property of the parameters to True.
B.Set the ProtectionLevel property of the package to EncryptSensitiveWithUserKey.
C.Change the parameters to package parameters.
D.Change the project to the Legacy Deployment model.
Answer: A
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NO.2 DRAG DROP
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.)
Answer:
NO.3 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.
The 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
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NO.4 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
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NO.5 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
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NO.6 A SQL Server Integration Services (SSIS) package on a computer is failing periodically in
production.The package was created less than one year ago and was deployed to the SSIS catalog.
Sometimes the package is started on a SQL Agent schedule; sometimes the package is started manually
by an SSIS developer by using the Object Explorer in SQL Server Management Studio.
You need to identify the authenticated user responsible for starting the package each time it failed in the
past.
Where can you find this information?
A.the SQL Server Log
B.the SSISDB.[catalog].[executions] view
C.the SSISDB.[catalog].[event_messages] view
D.the SQL Agent Job History
E.the SQL Agent Error Log
Answer: B
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NO.7 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
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NO.8 You develop a SQL Server Integration Services (SSIS) package that imports SQL Azure data into a data
warehouse every night.
The SQL Azure data contains many misspellings and variations of abbreviations.To import the data, a
developer used the Fuzzy Lookup transformation to choose the closest-matching string from a reference
table of allowed values.The number of rows in the reference table is very large.
If no acceptable match is found, the Fuzzy Lookup transformation passes a null value.
The current setting for the Fuzzy Lookup similarity threshold is 0.50.
Many values are incorrectly matched.
You need to ensure that more accurate matches are made by the Fuzzy Lookup transformation without
degrading performance.
What should you do?
A.Change the Exhaustive property to True,
B.Change the similarity threshold to 0.55.
C.Change the similarity threshold to 0.40.
D.Increase the maximum number of matches per lookup.
Answer: B
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