70-470 Exam
[Vivid] 70-470 Microsoft question 61-70 (Jan 2021)
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Q61. DRAG DROP - (Topic 10)
You are developing a SQL Server Analysis Services (SSAS) cube.
You need to reuse a Revenue measure group from a different database.
In SQL Server Data Tools (SSDT), 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:
Q62. DRAG DROP - (Topic 9)
You plan to deploy a SQL Server Integration Services (SSIS) project by using the project deployment model.
You need to monitor control flow tasks to determine whether any of them are running longer than usual.
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:
Q63. HOTSPOT - (Topic 10)
You are developing a SQL Server Analysis Services (SSAS) cube.
Revenue must be compared to a goal and described by a status and a trend. Revenue,
goal, status, and trend will be defined by Multidimensional Expressions (MDX) expressions.
You need to add the Revenue indicator.
Which tab should you select? (To answer, select the appropriate tab in the work area.)
Answer:
Q64. - (Topic 9)
You are designing a subscription strategy for a SQL Server Reporting Services (SSRS) report.
You have an application that populates a table with user-specific subscription schedules and report formats.
You need to ensure that users can receive reports by email according to their preferences.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Create a standard subscription for each record in the table.
B. Create a data-driven subscription for each record in the schedule table.
C. Create one data-driven subscription. Schedule the subscription to frequently retrieve user preferences.
D. Create a standard subscription for each subscription schedule.
Answer: C
Q65. DRAG DROP - (Topic 3)
You need to complete the following UPDATE statement to initialize the budget sales values for 2012.
Which MDX weight value expression should you use?
To answer, drag the appropriate weight value expression to the answer area.
Answer:
Q66. - (Topic 5)
You need to design a cube partitioning strategy to be implemented as the cube size increases.
What should you do?
A. Use relational OLAP (ROLAP) on all local partitions.
B. Implement monthly remote partitions.
C. Use multidimensional OLAP (MOLAP) on all local partitions.
D. Implement monthly local partitions.
Answer: B
Q67. - (Topic 10)
You are creating a SQL Server Analysis Services (SSAS) multidimensional database.
Users need a time dimension for:
Dates
Delivery dates
Ship dates
...
You need to implement the minimum number of required SSAS objects.
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 XsAggregatable 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: A
Q68. - (Topic 10)
You are developing a SQL Server Analysis Services (SSAS) tabular project.
A model contains tables and columns that must not be visible to the user. The columns and
tables cannot be removed because they are used in calculations.
The calculations are used to calculate the budget and forecast for the current quarter.
You need to hide the tables and columns.
What should you do?
A. After adding the budget calculations to the model, in the Properties window for the applicable tables and columns, set the Enabled property to False.
B. Before adding the forecast calculations to the model, right-click the applicable tables and columns and select the Hide option.
C. Before adding the forecast calculations to the model, right-click the applicable tables and columns and select the Hide from Client Tools option.
D. After adding the budget calculations to the model, in the Properties window for the applicable tables and columns, set the Visible property to True.
Answer: C
Q69. - (Topic 2)
You need to develop an SSRS report that retrieves currency exchange rate data.
How should you configure the data source for the report?
A. Use the Windows Azure SQL Database data source type and then set Windows authentication for the credentials.
B. Use the Windows Azure SQL Database data source type and then set a username and password for the credentials.
C. Use the SQL Server data source type and then set a username and password for the credentials.
D. Use the SQL Server data source type and then set Windows authentication for the credentials.
Answer: B
Topic 3, Tailspin Toys Case A
Background You are the business intelligence (BI) solutions architect for Tailspin Toys.
You produce solutions by using SQL Server 2012 Business Intelligence edition and Microsoft SharePoint Server 2010 Service Pack 1 (SP1) Enterprise edition.
Technical Background
Data Warehouse The data warehouse is deployed on a SQL Server 2012 relational database. A subset of the data warehouse schema is shown in the exhibit. (Click the Exhibit button.)
The schema shown does not include the table design for the product dimension.
The schema includes the following tables: . FactSalesPlan table stores data at month-level granularity. There are two scenarios: Forecast and Budget. . The DimDate table stores a record for each date from the beginning of the company's operations through to the end of the next year. . The DimRegion table stores a record for each sales region, classified by country.
Sales regions do not relocate to different countries. . The DimCustomer table stores a record for each customer. . The DimSalesperson table stores a record for each salesperson. If a salesperson
relocates to a different region, a new salesperson record is created to support historically accurate reporting. A new salesperson record is not created if a salesperson's name changes.
. The DimScenario table stores one record for each of the two planning scenarios.
All relationships between tables are enforced by foreign keys. The schema design is as denormalized as possible for simplicity and accessibility. One exception to this is the DimRegion table, which is referenced by two dimension tables.
Each product is classified by a category and subcategory and is uniquely identified in the source database by using its stock-keeping unit (SKU). A new SKU is assigned to a product if its size changes. Products are never assigned to a different subcategory, and subcategories are never assigned to a different category.
Extract, transform, load (ETL) processes populate the data warehouse every 24 hours.
ETL Processes One SQL Server Integration Services (SSIS) package is designed and developed to populate each data warehouse table. The primary source of data is extracted from a SQL Azure database. Secondary data sources include a Microsoft Dynamics CRM 2011 on-premises database. ETL developers develop packages by using the SSIS project deployment model. The ETL developers are responsible for testing the packages and producing a deployment file. The deployment file is given to the ETL administrators. The ETL administrators belong to a Windows security group named SSISOwners that maps to a SQL Server login named SSISOwners.
Data Models The IT department has developed and manages two SQL Server Analysis Services (SSAS) BI Semantic Model (BISM) projects: Sales Reporting and Sales Analysis. The Sales Reporting database has been developed as a tabular project. The Sales Analysis database has been developed as a multidimensional project. Business analysts use PowerPivot for Microsoft Excel to produce self-managed data models based directly on the data warehouse or the corporate data models, and publish the PowerPivot workbooks to a SharePoint site.
The sole purpose of the Sales Reporting database is to support business user reporting and ad-hoc analysis by using Power View. The database is configured for DirectQuery mode and all model queries result in SSAS querying the data warehouse. The database is based on the entire data warehouse.
The Sales Analysis database consists of a single SSAS cube named Sales. The Sales cube has been developed to support sales monitoring, analysts, and planning. The Sales cube metadata is shown in the following graphic.
Details of specific Sales cube dimensions are described in the following table.
The Sales cube dimension usage is shown in the following graphic.
The Sales measure group is based on the FactSales table. The Sales Plan measure group
is based on the FactSalesPlan table. The Sales Plan measure group has been configured
with a multidimensional OLAP (MOLAP) writeback partition. Both measure groups use
MOLAP partitions, and aggregation designs are assigned to all partitions. Because the
volumes of data in the data warehouse are large, an incremental processing strategy has
been implemented.
The Sales Variance calculated member is computed by subtracting the Sales Plan forecast
amount from Sales. The Sales Variance °/o calculated member is computed by dividing
Sales Variance by Sales. The cube's Multidimensional Expressions (MDX) script does not
set any color properties.
Analysis and Reporting
SQL Server Reporting Services (SSRS) has been configured in SharePoint integrated
mode.
A business analyst has created a PowerPivot workbook named Manufacturing
Performance that integrates data from the data warehouse and manufacturing data from an
operational database hosted in SQL Azure. The workbook has been published in a
PowerPivot Gallery library in SharePoint Server and does not contain any reports. The
analyst has scheduled daily data refresh from the SQL Azure database. Several SSRS
reports are based on the PowerPivot workbook, and all reports are configured with a report
execution mode to run on demand.
Recently users have noticed that data in the PowerPivot workbooks published to
SharePoint Server is not being refreshed. The SharePoint administrator has identified that
the Secure Store Service target application used by the PowerPivot unattended data
refresh account has been deleted.
Business Requirements
ETL Processes
All ETL administrators must have full privileges to administer and monitor the SSIS catalog,
and to import and manage projects.
Data Models
The budget and forecast values must never be accumulated when querying the Sales
cube. Queries should return the forecast sales values by default.
Business users have requested that a single field named SalespersonName be made
available to report the full name of the salesperson in the Sales Reporting data model.
Writeback is used to initialize the budget sales values for a future year and is based on a
weighted allocation of the sales achieved in the previous year.
Analysis and Reporting
Reports based on the Manufacturing Performance PowerPivot workbook must deliver data
that is no more than one hour old.
Management has requested a new report named Regional Sales. This report must be
based on the Sales cube and must allow users to filter by a specific year and present a grid
with every region on the columns and the Products hierarchy on the rows. The hierarchy
must initially be collapsed and allow the user to drill down through the hierarchy to analyze
sales. Additionally, sales values that are less than S5000 must be highlighted in red.
Technical Requirements
Data Warehouse
Business logic in the form of calculations should be defined in the data warehouse to
ensure consistency and availability to all data modeling experiences.
The schema design should remain as denormalized as possible and should not include
unnecessary columns.
The schema design must be extended to include the product dimension data.
ETL Processes
Package executions must log only data flow component phases and errors.
Data Models
Processing time for all data models must be minimized.
A key performance indicator (KPI) must be added to the Sales cube to monitor sales
performance. The KPI trend must use the Standard Arrow indicator to display improving,
static, or deteriorating Sales Variance % values compared to the previous time period.
Analysis and Reporting
IT developers must create a library of SSRS reports based on the Sales Reporting
database. A shared SSRS data source named Sales Reporting must be created in a
SharePoint data connections library.
Q70. - (Topic 9)
You deploy a PowerPivot workbook to a document library in a Microsoft SharePoint site. Workbook data comes from two different sources: Source A and Source B.
The workbook contains three small lookup tables from Source A, and five tables with a total of 20 million rows from Source B. Data from Source A is updated at 9:00 A.M. and data from Source B is updated throughout the day.
You have the following requirements:
. Refresh the PowerPivot workbook with updated lookup data as soon as possible. . Minimize load on the source systems and the SharePoint environment during business hours. . Minimize user involvement in the data refresh process.
You enable automatic data refresh for the workbook.
You need to configure a data refresh schedule for the workbook that meets the requirements.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Set the default schedule to refresh outside of business hours. Do not manually refresh the workbook.
B. Set the default schedule to refresh outside of business hours. Manually refresh the workbook at 9:00 A.M. every day.
C. Set the default schedule to refresh at 9:00 A.M. every day. Create a separate schedule for Source B's connection to refresh outside of business hours.
D. Set the default schedule to refresh at 3:00 P.M. every day. Do not create individual source schedules.
E. Set the default schedule to refresh at 9:00 A.M. every day. Do not create individual source schedules.
Answer: C