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QUESTION NO:30

You are designing an extract, transform, load (ETL) process for loading data from a SQL Azure

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.

. 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 fact table by date. Insert new data directly into the fact table and delete old data

directly from the fact table.

B. Partition the fact table by customer. Use partition switching both to remove old data and to load

new data into each partition.

C. Partition the fact table by date. Use partition switching and staging tables both to remove old data

and to load new data.

D. Partition the fact table by date. Use partition switching and a staging table to remove old data.

Insert new data directly into the fact table.

Answer: C

QUESTION NO:37

DRAG DROP

You are designing a SQL Server Analysis Services (SSAS) data model on a very large data warehouse.

The fact tables in the data warehouse contain terabytes of data in tens of billions of rows. You must

support the following features:

. Complex attribute/column relationships

. Advanced calculations in the data model definition

. Advanced calculations using logic deployed in a custom assembly

You need to choose the correct SSAS design strategy.

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.)

37

Answer:

Explanation:

Note:

Box 1:

The primary reason for building an Analysis Services multidimensional model is to achieve fast

performance of ad hoc queries against business data. A multidimensional model is composed of

cubes and dimensions that can be annotated and extended to support complex query constructions.

Box 2:

A partition is a container for a portion of the measure group data. Partitions are not seen from MDX

queries; all queries reflect the whole content of the measure group, regardless of how many

partitions are defined for the measure group. The data content of a partition is defined by the query

bindings of the partition, and by the slicing expression.

Box 3:

Multidimensional Expressions (MDX) is the query language that you use to work with and retrieve

multidimensional data in Microsoft SQL Server 2005 Analysis Services (SSAS).

QUESTION NO:27

You are designing a partitioning strategy for a large fact table in a Manufacturing data warehouse.

Tens of millions of new inventory fact records are loaded into the data warehouse weekly, outside of

business hours. Most queries against the database are generated by reports and by cube processing.

Data is frequently queried at the day level and occasionally at the month level.

A. Partition the inventory fact table by month, and compress each partition.

B. Partition the inventory fact table by day, and compress each partition.

C. Partition the inventory fact table by year.

D. Partition the inventory fact table by week.

Answer: B

QUESTION NO:8

HOTSPOT

You are designing a SQL Server Integration Services (SSIS) package configuration strategy.

The package configuration must meet the following requirements:

. Include multiple properties in a configuration.

. Support several packages with different configuration settings.

You need to select the appropriate configuration.

Which configuration type should you use?

To answer, select the appropriate option from the drop-down list in the dialog box.

9

Answer:

Explanation:

Note:

Package Configuration Types

The following table describes the package configuration types.

* SQL Server table

A table in a SQL Server database contains the configuration. The table can include multiple

configurations.

* XML configuration file

An XML file contains the configurations. The XML file can include multiple configurations.

* Environment variable

An environment variable contains the configuration.

10

* Registry entry

A Registry entry contains the configuration.

* Parent package variable

A variable in the package contains the configuration. This configuration type is typically used to

update properties in child packages.

Reference: Package Configurations

QUESTION NO:22

DRAG DROP

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.)

Answer:

24

Explanation:

Box 1: Import

Box 2: tabular

Box 3: Deploy

Box 4: Modify

You can see that the audiences for these two approaches are different: Tabular models are for IT

professionals, while PowerPivot models are for business users. And keep in mind you can import a

PowerPivot workbook to create a new tabular product. For example, a business user might create a

solution using PowerPivot. By restoring the workbook, IT can add features that are not supported in

PowerPivot, such as roles to grant read permission to different groups of users. Additionally,

recognition by IT that the model is important to the organization may prompt them to import the

workbook into a tabular project and take ongoing responsibility for developing the model.

QUESTION NO:25

26

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

QUESTION NO:29

A SQL Server Analysis Services (SSAS) cube contains a large measure group. The fact table supporting

the measure group is loaded with new data throughout the day.

You have the following requirements:

. Ensure that the cube displays current data as quickly as possible.

. Maximize availability of the cube.

. Maximize query performance for all aggregation levels.

You need to choose a partitioning strategy that meets the requirements.

Which partitioning strategy should you choose? (More than one answer choice may achieve the

goal. Select the BEST answer.)

A. Create one partition for the current day that uses multidimensional OLAP (MOLAP) with proactive

caching as a storage mode.

B. Create one partition for the current month that uses hybrid OLAP (HOLAP) as a storage mode.

30

C. Create one partition for the current day that uses relational OLAP (ROLAP) as a storage mode.

D. Create one partition for the current day that uses multidimensional OLAP (MOLAP) as a storage

mode. Process the partition each night.

Answer: A

QUESTION NO:12

HOTSPOT

You are configuring the partition storage settings for a SQL Server Analysis Services (SSAS) cube.

The partition storage must meet the following requirements:

. Optimize the storage of source data and aggregations in the cube.

. Use proactive caching.

. Drop cached data that is more than 30 minutes old.

. Update the cache when data changes, with a silence interval of 10 seconds.

You need to select the partition storage setting.

Which setting should you select?

To answer, select the appropriate setting in the answer area.

14

Answer:

Explanation:

http://msdn.microsoft.com/en-us/library/ms175646.aspx

Low Latency MOLAP

Detail data and aggregations are stored in multidimensional format. The server listens for

notifications of changes to the data and switches to real-time ROLAP while MOLAP objects are

reprocessed in a cache. A silence interval of at least 10 seconds is required before updating the

cache. There is an override interval of 10 minutes if the silence interval is not attained. Processing

occurs automatically as data changes with a target latency of 30 minutes after the first change.

This setting would typically be used for a data source with frequent updates when query

performance is somewhat more important than always providing the most current data. This setting

automatically processes MOLAP objects whenever required after the latency interval. Performance is

slower while the MOLAP objects are being reprocessed.

QUESTION NO:4

You are modifying a SQL Server Reporting Services (SSRS) report for a SQL Server Analysis Services

(SSAS) cube. The report defines a report parameter of data type Date/Time with which users can

filter the report by a single date. The parameter value cannot be directly used to filter the

Multidimensional Expressions (MDX) query for the dataset.

You need to ensure that the report displays data filtered by the user-entered value. You must

achieve this goal by using the least amount of development effort.

What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

A. Edit the dataset query parameter. Change the Value property of the report parameter to an

expression that uses the same format as the date dimension member key value.

5

B. Edit the dataset query parameter. Change the Name property of the dataset query parameter so

that it points to a name value for each date dimension member.

C. Edit the dataset query parameter. Create a subcube subquery that uses the StrToSet MDX

function and accepts the report parameter value.

D. Change the dataset query to Transact-SQL (T-SQL). Use the OPENROWSET function to query the

cube. Output the cube results to the T-SQL query and use a Convert function to change the report

parameter value into the same format as the date dimension member.

Answer: A

QUESTION NO:33

DRAG DROP

You are designing a SQL Server Reporting Services (SSRS) solution.

A report project must access multiple SQL Server databases. Each database is on a different instance.

The databases have identical schema and security configurations.

You have the following requirements:

. The report must support subscriptions.

. Users must be able to select the host when running the report.

What should you do?

To answer, drag the appropriate phrase or phrases from the list to the correct location or locations

in the answer area. (Answer choices may be used once, more than once, or not all.)

Answer:

34

Explanation:

Note:

The report need a data source.

Through a report parameter the user can select among the available SQL Server instances.

This selection is used through an expression-based connection string.

Authentication is handled through stored credentials.

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