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QUESTION
21
You are designing a partitioning strategy for a large fact table in a data
warehouse. Tens of millions of new records are loaded into the data warehouse
weekly, outside of business hours. Most queries are generated by reports and by
cube processing. Data is frequently queried at the day level and occasionally at
the month level. You need to partition the table to maximize the performance of
queries. What should you do? (More than one answer choice may achieve the goal.
Select the BEST answer.)

A.    Partition the fact table by month, and compress each
partition.
B.    Partition the fact table by week.
C.    Partition the
fact table by year.
D.    Partition the fact table by day, and compress each
partition.

Answer: D

QUESTION 22
You are designing an extract, transform, load
(ETL) process for loading data from a SQL Server database into a large fact
table in a data warehouse each day with the prior day’s sales data. The ETL
process for the fact table must meet the following requirements:
– Load new
data in the shortest possible time.
– Remove data that is more than 36 months
old.
– Ensure that data loads correctly.
– Minimize record locking.

Minimize impact on the transaction log.
You need to design an ETL process
that meets the requirements. What should you do? (More than one answer choice
may achieve the goal. Select the BEST answer.)

A.    Partition the destination fact table by date. Insert new
data directly into the fact table and delete old data directly from the fact
table.
B.    Partition the destination fact table by date. Use partition
switching and staging tables both to remove old data and to load new
data.
C.    Partition the destination fact table by customer. Use partition
switching both to remove old data and to load new data into each
partition.
D.    Partition the destination fact table by date. Use partition
switching and a staging table to remove old data. Insert new data directly into
the fact table.

Answer: B

QUESTION 23
You have a business intelligence (BI)
infrastructure that contains three servers. The servers are configured as shown
in the following table.
231[2]
You need to recommend a health monitoring solution for
the BI infrastructure. The solution must meet the following requirements:

Monitor the status of the Usage Data Collection feature.
– Monitor the number
of end-users accessing the solution.
– Monitor the amount of cache used when
the users query data.
Which health monitoring solution should you recommend
using on each server? To answer, drag the appropriate monitoring solutions to
the correct servers. Each monitoring solution may be used once, more than once,
or not at all. You may need to drag the split bar between panes or scroll to
view content.
232[2]

Answer:
233[2]

QUESTION 24
Drag and Drop Questions
You are validating
whether a SQL Server Integration Services (SSIS) package named Master.dtsx in
the SSIS catalog is executing correctly. You need to display the number of rows
in each buffer passed between each data flow component of the package. 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.)
241[7]

Answer:
242[7]

QUESTION 25
You are creating a Multidimensional Expressions
(MDX) calculation for Projected Revenue in a cube. For Customer A, Projected
Revenue is defined as 150 percent of the Total Sales for the customer. For all
other customers, Projected Revenue is defined as 110 percent of the Total Sales
for the customer. You need to calculate the Projected Revenue as efficiently as
possible. Which calculation should you use? (More than one answer choice may
achieve the goal. Select the BEST answer.)
251[8]

A.    Option A
B.    Option B
C.    Option C
D.    Option D

Answer: C


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QUESTION 26
You are developing the database schema for a SQL
Server Analysis Services (SSAS) BI Semantic Model (BISM). The BISM will be based
on the schema displayed in the following graphic.
261[2]
You have the following requirements:
– Ensure that
queries of the data model correctly display average student age by class and
average class level by student.
– Minimize development effort.
You need to
design the data model. What should you do? (More than one answer choice may
achieve the goal. Select the BEST answer.)

A.    Create a multidimensional project and define measures and
a reference relationship.
B.    Create a tabular project and define
calculated columns.
C.    Create a multidimensional project and define
measures and a many-to-many dimensional relationship.
D.    Create a tabular
project and define measures.

Answer: C

QUESTION 27
Drag and Drop Questions
You are designing a
self-service business intelligence and reporting environment. Business analysts
will create and publish PowerPivot for Microsoft Excel workbooks and create
reports by using SQL Server Reporting Services (SSRS) and Power View. When the

data models become more complex and the data volume increases, the data models
will be replaced by IT-hosted server-based models. You have the following
requirements:
– Maintain the self-service nature of the reporting
environment.
– Reuse existing reports.
– Add calculated columns to the
data models.
You need to create a strategy for implementing this process.
What should you do? To answer, drag the appropriate term or terms to the correct
location or locations in the answer area. (Answer choices may be used once, more
than once, or not all.)
271[5]

Answer:
272[5]

QUESTION 28
You are modifying a star schema data mart that
feeds order data from a SQL Azure database into a SQL Server Analysis Services
(SSAS) cube. The data mart contains two large tables that include flags and
indicators for some orders. There are 100 different flag columns, each with 10
different indicator values. Some flags reuse indicators. The tables both have a
granularity that matches the fact table. You have the following
requirements:
– Allow users to slice data by all flags and indicators.

Modify the date dimension table to include a surrogate key of a numeric data
type and add the surrogate key to the fact table.
– Use the most efficient
design strategy for cube processing and queries.
You need to modify the
schema. What should you do? (More than one answer choice may achieve the goal.
Select the BEST answer.)

A.    Define the surrogate key as an INT data type. Combine the
distinct flag/indicator combinations into a single dimension.
B.    Define
the surrogate key as an INT data type. Create a single fact dimension in each
table for its flags and indicators.
C.    Define the surrogate key as a
BIGINT data type. Combine the distinct flag/indicator combinations into a single
dimension.
D.    Define the surrogate key as a BIGINT data type. Create a
single fact dimension in each table for its flags and indicators.

Answer: A

QUESTION 29
You are defining a named set by using
Multidimensional Expressions (MDX) in a sales cube. The cube includes a Product
dimension that contains a Category hierarchy and a Color attribute hierarchy.
You need to return only the blue products in the Category hierarchy. Which set
should you use? (More than one answer choice may achieve the goal. Select the
BEST answer.)
291[7]

A.    Option A
B.    Option B
C.    Option C
D.    Option D

Answer: C

QUESTION 30
An existing cube dimension that has 30 attribute
hierarchies is performing very poorly. You have the following requirements:

Implement drill-down browsing.
– Reduce the number of attribute hierarchies
but ensure that the information contained within them is available to users on
demand.
– Optimize performance.
You need to redesign the cube dimension to
meet the requirements. What should you do? (More than one answer choice may
achieve the goal. Select the BEST answer.)

A.    set the AggregateFunction property to Sum on all
measures. Use the SCOPE statement in a Multidimensional Expressions (MDX)
calculation to tune the aggregation types.
B.    Set the
AttributeHierarchyOptimizedState property to FullyOptimized on the attribute
hierarchies.
C.    Create user-defined hierarchies. For the attributes
sourced by the levels of the user-defined hierarchies, set the RelationshipType
property to Rigid. Run incremental processing.
D.    Remove as many attribute
hierarchies as possible from the dimension. Reintroduce the information in the
attribute hierarchies as properties. Implement natural hierarchies and set the
AttributeHierarchyVisible property to False for attributes used as levels in the
natural hierarchies.

Answer: D


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