70-470 Exam
Top 10 tutorials 70-470 for candidates (141 to 150)
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Q141. DRAG DROP - (Topic 9)
You have a business intelligence (BI) solution that uses SQL Server Integration Services (SSIS). The BI solution includes an extract transformation, and load (ETL) system.
You are designing a logging and auditing strategy for the ETL system.
You need to ensure that an ETL administrator can view the row counts of any data flow
path for each package execution.
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:
Q142. HOTSPOT - (Topic 10)
You are developing a SQL Server Analysis Services (SSAS) cube.
You create a degenerate dimension.
You need to define a relationship type for the dimension.
Which relationship type should you select? (To answer, configure the appropriate option or
options in the dialog box in the answer area.)
Answer:
218. - (Topic 10)
You are developing a SQL Server Analysis Services (SSAS) tabular project.
The model includes a table named DimEmployee. The table contains employee details, including the sales territory for each employee. The table also defines a column named EmployeeAlias which contains the Active Directory Domain Services (AD DS) domain and logon name for each employee. You create a role named Employees.
You need to configure the Employees roles so that users can query only sales orders for their respective sales territory.
What should you do?
A. Add a row filter that implements only the USERNAME function.
B. Add a row filter that implements the LOOKUPVALUE and USERNAME functions.
C. Add a row filter that implements only the CUSTOMDATA function.
D. Add a row filter that implements the LOOKUPVALUE and CUSTOMDATA functions.
Answer: B
Q143. - (Topic 10)
You are deploying an update to a SQL Server Analysis Services (SSAS) cube to a production environment.
The production database has been configured with security roles.
You need to preserve the existing security roles in the production database. Database roles and their user accounts from the development environment must not be deployed to the production server.
Which deployment method should you use?
A. Use the SQL Server Analysis Services Deployment Wizard.
B. Backup and restore the database.
C. Deploy the project from SQL Server Data Tools to the production server.
D. Use the SQL Server Analysis Services Migration Wizard.
Answer: A
Q144. DRAG DROP - (Topic 9)
You are designing a dataset for a SQL Server Reporting Services (SSRS) report. The report includes the report items displayed in the following graphic.
The dataset is sourced from a commonly used stored procedure in an inventory data mart hosted in a SQL Azure database.
It returns the status for all products across all storage sites. The report must display data for the storage site that is selected by the Site report parameter. You cannot change the stored procedure code.
You need to filter the dataset to use only data specific to the selected site.
How should you configure the filter?
To answer, drag the appropriate expression or expressions to the correct location or locations in the answer area. (Answer choices may be used once, more than once, or not all.)
Answer:
Q145. - (Topic 9)
A company has a relational data warehouse, a SQL Server Analysis Services (SSAS) database, and a SQL Server Reporting Services (SSRS) instance. The SSAS database contains a cube named Sales. Shared data sources exist in SSRS for the relational and SSAS databases. Each company department has its own report writers.
Report writers in the Marketing department want to create new reports by using Report Builder. Many reports will include data generated by a custom formula that references data stored either in a data warehouse table or in the Sales cube. The custom formula will compare time periods across multiple products, categories, and regions.
You have the following requirements:
. Ensure that only Marketing department report writers can access the custom formula.
..
Implement only one dataset.
Ensure that the dataset references the data source that will provide the fastest
data retrieval.
You need to meet the requirements to support the Marketing department report writers.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Create, deploy, and secure a shared dataset that references the SSAS database shared data source and includes a calculated member for the custom formula.
B. Create a calculated member in the Sales cube. Create, deploy, and secure a shared dataset that references the SSAS database shared data source and includes the calculated member from the cube.
C. Create and secure in the data warehouse a stored procedure that implements the custom formula. Create and deploy a shared dataset that references the data warehouse shared data source.
D. Create, deploy, and secure a shared dataset that references the data warehouse shared data source and includes custom Transact-SQL (T-SQL) code for the custom formula.
Answer: B
Q146. - (Topic 10)
You are creating a SQL Server Analysis Services (SSAS) cube.
You need to create a time dimension. It must be linked to a measure group named Sales at the day granularity level. It must also be linked to a measure group named Salary at the month granularity level.
What should you do?
A. Use role playing dimensions.
B. Use the Business Intelligence Wizard to define dimension intelligence.
C. Add a measure that uses the Count aggregate function to an existing measure group.
D. Add a measure that uses the DistinctCount aggregate function to an existing measure group.
E. Add a measure that uses the LastNonEmpty aggregate function. Use a regular relationship between the time dimension and the measure group.
F. Add a measure group that has one measure that uses the DistinctCount aggregate function.
G. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
H. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
I. Create several dimensions. Add each dimension to the cube.
J. Create a dimension. Then add a cube dimension and link it several times to the measure group.
K. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.
L. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a regular relationship between the dimension and measure group.
M. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a many-to-many relationship to link the dimension to the measure group.
N. Create a dimension with one attribute hierarchy. Set the ValueColumn property, set the IsAggregatable property to False, and then set the DefaultMember property. Configure the cube dimension so that it does not have a relationship with the measure group. Add a calculated measure that uses the MemberValue attribute property.
O. Create a new named calculation in the data source view to calculate a rolling sum. Add a measure that uses the Max aggregate function based on the named calculation.
Answer: K
Q147. DRAG DROP - (Topic 9)
You are developing a SQL Server Integration Services (SSIS) package to add a large amount of data to a fact table named factOrders. The factOrders table is partitioned by week and has a clustered index.
You need to load three weeks' data into the factOrders table by using the most efficient method.
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:
Q148. - (Topic 9)
You are designing a customer dimension for a multidimensional OLAP (MOLAP) database. The dimension table will contain millions of rows of data.
Customer dimension attributes will come from the following two sources:
. An enterprise resource planning (ERP) system that contains millions of rows of data. Attributes from this source will be updated daily.
. A marketing database that contains thousands of rows of data representing customers' geographic information. Attributes from this source will be updated monthly.
Most report queries against the cube use attributes from both sources. Customers in the cube dimension will frequently be filtered by the geographic attributes.
You need to design the dimension table and cube dimension to ensure that report queries perform well, and minimize the time required to reprocess cube attributes.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Create a dimension table for each source. Create one cube dimension that joins the two dimension tables together.
B. Create one dimension table that combines data from both sources. Create a cube dimension for each source.
C. Create one dimension table that combines data from both sources. Create one cube dimension that references the dimension table.
D. Create a dimension table for each source, and a cube dimension for each source.
Answer: D
Q149. - (Topic 10)
You are developing a SQL Server Analysis Services (SSAS) tabular project. A model defines a measure named Profit and includes a table named Date. The table includes year, semester, quarter, month, and date columns. The Date column is of data type Date. The table contains a set of contiguous dates.
You need to create a measure to report on year-over-year growth of profit.
What should you do? (Each answer presents a complete solution. Choose all that apply.)
A. Use the Business Intelligence Wizard and then use the Define time intelligence enhancement.
B. Define the following calculation.Year Over Year Profit Growth:=CALCULATE([Profit], DATEADD('Date'[Date], 1, YEAR))
C. Define the following calculation.Year Over Year Profit Growth:=[Profit] -CALCULATE([Profit], SAMEPERIODLASTYEAR('Date'[Date]))
D. Define the following calculation.Year Over Year Profit Growth:=[Profit] -CALCULATE([Profit], PARALLELPERIOD('Date'[Date], -12, MONTH))
Answer: A,D
Explanation: A: SSAS Provides feature called "Time Intelligence Wizard". This feature will
provide neat GUI to achieve the same purpose which we were trying by MDX code [using
the PARALLELPERIOD function].
Example:
Lets explore the "Time Intelligence Wizard":
1) In BIDS, Click "Cube" in menu bar and select "Add business Intelligence"
2) Click "Time Intelligence Wizard" on next screen.
3) "Choose Target Hierarchy and Calculations".screen
http://4.bp.blogspot.com/_ntCExJSVw8o/TKm091Wyh_I/AAAAAAAAMV8/dzpwjOPJ_wI/s4 00/TIW_CTH.JPG Etc.
D: Variance analysis for SSAS OLAP cubes is not a simple matter of adding a calculated field to a pivot table. Planning along with the use of the ParallelPeriod MDX functions allows us to quickly create a variance infrastructure for a particular measure. Furthermore, by utilizing a date hierarchy in the Parallel Period function, we can easily traverse down the hierarchy for any attribute below the parallel period level noted in the function (i.e., parallel period based on Year can show either one year back per year, quarter, or month). Although, other methods exist, the parallel period method can be easily followed and applied to various measures.
Q150. - (Topic 5)
You need to configure a parameter for the database connection string. What should you do?
A. Use a required package parameter.
B. Use a required project parameter.
C. Use a package configuration.
D. Use a global variable.
Answer: B
Topic 6, WingTip Toys
General Background
You are a data architect for WingTip Toys. The company uses SQL Server 2012 Enterprise
edition. SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS)
are installed on separate servers.
Data Warehouse
The company's data warehouse initially contained less than 100 MB and 100 million rows
of data from only one data source. It now contains more than 10 TB and 10 billion rows of
data, in 25 tables, from 12 data sources.
The largest table in the data warehouse, the factOrders table, contains 5 TB of data. The
factOrders table contains three date keys: OrderDateKey InvoiceDateKey, and
ShipDateKey. The data warehouse server has 1 TB of RAM. Memory usage is currently at
20 percent.
One billion rows of data are added to the data warehouse each month. New data is copied
each night from the data sources into SQL Server staging tables, and existing records are
not updated. The largest data set is order information, which is loaded in parallel into
multiple staging tables, one for each data source. All the staging tables have the same
structure and belong to the same filegroup as the factOrders table.
The dimCustomers table stores customer information that may change over time.
Data Models
You are developing three SSAS databases, as described in the following table.
Reporting
Business users frequently generate reports in Microsoft Excel by using PowerPivot. The
PowerPivot Management Dashboard does not currently display any usage data.
Several SSRS reports exist that use the data warehouse as a source. The data warehouse
queries are aggregate queries that use the factOrders table and one or more dimension
tables. All SSRS data sources use Integrated Windows authentication.
SSRS displays a security access error message when managers run SSRS reports based
on the Operations database.
Reporting performance has become unacceptably slow.
Business Requirements
Improve the query speed of the SSRS reports.
Allow business users to create reports by using PowerPivot and Power View.
Ensure that all users other than business users can view metadata for the Customers
dimension. Ensure that business users cannot view metadata for the Customers
dimension.
Technical Requirements
Modify the tables in the data warehouse to minimize aggregate query processing time.
Minimize disk storage in the data warehouse.
Ensure that all multidimensional models process data as quickly as possible.
Create a fact table named factCustomerContact in the data warehouse to store the contact
date, customer key, and communication type for each instance of customer contact.
Store the history of customer information changes in the dimCustomers table.
Move data from the staging tables into the factOrders table as quickly as possible. When
creating dimensions for the date keys in the factOrders table, minimize storage space
requirements and optimize the cube processing time.
Ensure that queries against the Sales database return the most current data in the data
warehouse.
Ensure that the SSAS model of the Finance database does not page to disk or return a
memory error as the size of the database grows.
Create an SSAS monitoring solution that tracks the following data: Queries answered per second Queries from cache direct per second Queries from file per second.
...