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NEW QUESTION: 1
A hospital wireless network must support many different types of users and devices, including:
* Visitors who access the Internet
* Admin staff, who run applications such as scheduling
* Medical staff, who look up patient info on their tablets
* Patient monitoring devices, which must not lose any traffic
* Communicator badges, which support real-time voice to allow nurses and doctors to communicate The hospital needs to ensure that the most vital and time-sensitive traffic is prioritized and that visitors do not interfere with hospital applications. The MC should mark traffic that passes through it for an appropriate priority.
Which plan meets the needs? (The plans describe firewall roles and rules but do not need to use correct syntax. Note that security roles are also not included.)
A. Communicator = Highest. Patient monitoring = Highest. Medical staff = High. Admin staff = Normal: Visitors = Low.
B. Patient monitoring = Highest. Medical staff = Highest. communicators = High. Admin staff = High. Visitors = Normal.
C. Medical staff = Highest. Communicator = High. Patient monitoring = High. Admin = High. Visitors = Normal
D. Medical staff = Highest. Patient monitoring = Highest. Admin staff - High. Communicator = Normal. Visitors = Low.
Answer: D
NEW QUESTION: 2
To push up the urgency level requires adding of the sources of complacency or increasing of their impact.
A. TRUE
B. FALSE
Answer: B
NEW QUESTION: 3
You need to select and configure a tool for the monitoring solution.
What should you choose?
A. SQL Server Profiler configured with the Query Processing: Query Subcube event
B. Performance Monitor configured with the MSAS11:Processing counter
C. SQL Server Profiler configured with the Queries Events: Query Begin event
D. Performance Monitor configured with the MSAS11:Storage Engine Query counter
Answer: C
Explanation:
Topic 5, Contoso, Ltd Case B
General Background
You are the business intelligence (BI) solutions architect for Contoso, Ltd, an online
retailer.
You produce solutions by using SQL Server 2012 Business Intelligence edition and
Microsoft SharePoint Server 2010 Service Pack 1 (SP1) Enterprise edition.
A SharePoint farm has been installed and configured for intranet access only. An Internet-
facing web server hosts the company's public e-commerce website. Anonymous access is
not configured on the Internet-facing web server.
Data Warehouse
The data warehouse is deployed on a 5QL Server 2012 relational database instance. The data warehouse is structured as shown in the following diagram.
The following Transact-SQL (T-SQL) script is used to create the FactSales and FactPopulation tables:
The FactPopulation table is loaded each year with data from a Windows Azure Marketplace commercial dataset. The table contains a snapshot of the population values for all countries of the world for each year. The world population for the last year loaded exceeds
6.8 billion people.
ETL Process
SQL Server Integration Services (SSIS) is used to load data into the data warehouse. All SSIS projects are developed by using the project deployment model.
A package named StageFactSales loads data into a data warehouse staging table. The package sources its data from numerous CSV files exported from a mainframe system. The CSV file names begin with the letters GLSD followed by a unique numeric identifier that never exceeds six digits. The data content of each CSV file is identically formatted.
A package named LoadFactFreightCosts sources data from a Windows Azure SQL Database database that has data integrity problems. The package may retrieve duplicate rows from the database.
The package variables of all packages have the RaiseChangedEvent property set to True.
A package-level event handler for the OnVariableValueChanged event consists of an Execute SQL task that logs the System::VariableName and System::VariableValue variables.
Data Models
SQL Server Analysis Services (SSAS) is used to host the Corporate BI multidimensional database. The Corporate BI database contains a single data source view named Data Warehouse. The Data Warehouse data source view consists of all data warehouse tables. All data source view tables have been converted to named queries.
The Corporate BI database contains a single cube named Sales Analysis and three database dimensions: Date, Customer and Product. The dimension usage for the Sales Analysis cube is as shown in the following image.
The Customer dimension contains a single multi-level hierarchy named Geography. The structure of the Geography hierarchy is shown in the following image.
The Sales Analysis cube's calculation script defines one calculated measure named Sales Per Capita. The calculated measure expression divides the Revenue measure by the Population measure and multiplies the result by 1,000. This calculation represents revenue per 1,000 people.
The Sales Analysis cube produces correct Sales Per Capita results for each country of the world; however, the Grand Total for all countries is incorrect, as shown in the following image (rows 2-239 have been hidden).
A role named Analysts grants Read permission for the Sales Analysis cube to all sales and marketing analysts in the company.