今の多くのIT者が参加している試験に、Microsoftの70-463試験参考書がとても人気がある一つとして、合格するために豊富な知識と経験が必要です。MCSA認定資格の70-463試験参考書に準備する練習ツールや訓練機関に通学しなればまりませんでしょう。Ktestは勉強者のもっともよい選択ですよ。多くIT者になりたい方にMicrosoftの70-463（Implementing a Data Warehouse with Microsoft SQL Server 2012）試験参考書に関する問題集を準備しております。勉強者に短い時間に大量のITの専門知識を補充させています。
Share some MCSA 70-463 exam questions and answers below.
You are designing a data warehouse that uses SQL Server 2012. The data warehouse contains a table named factSales that stores product sales. The table has a clustered index on the primary key, four foreign keys to dimension tables, and an aggregate column for sales totals. All key columns use the int data type and the aggregate column uses the money data type. You need to increase the speed of data retrieval from the factSales table. Which index type should you add to the table?
A. Clustered
B. Semantic search
C. Nonclustered
D. XML
Answer: C
You are designing a complex SQL Server Integration Services (SSIS) project that uses the Project Deployment model. The project will contain between 15 and 20 packages. All the packages must connect to the same data source and destination. You need to define and reuse the connection managers in all the packages by using the least development effort.What should you do?
A. Copy and paste the connection manager details into each package.
B. Implement project connection managers.
C. Implement package connection managers.
D. Implement parent package variables in all packages.
Answer: B
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
You are developing a SQL Server Integration Services (SSIS) package that imports data into a data warehouse hosted on SQL Azure.
The package uses a Foreach container to process text files found in a folder. The package must be deployed to a single server by using the Project Deployment model.
Multiple SQL Server Agent jobs call the package. Each job is executed on a different schedule. Each job passes a different folder path to the package.
You need to configure the package to accept the folder path from each job.
Which package configuration should you use?
A. .dtsConfig file
B. Registry Entry
C. Environment Variable
D. Parent Package Variable
E. XML Configuration File
Answer: C
You are developing a SQL Server Integration Services (SSIS) package that imports data from a relational database to a data warehouse.
You are importing data from a relational table named Projects. The table has change data capture enabled on all columns.
You need to process only the most recent values from rows that have been inserted or updated since the previous execution of the package.
Which query should you use as the data source?
A. Option A
B. Option B
C. Option C
D. Option D
Answer: D
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
DRAG DROP
A Data Flow task in a SQL Server Integration Services (SSIS) package produces run-time errors.
You need to edit the package to log specific error messages.
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.)
Answer:
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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