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NEW QUESTION: 1
Refer to the exhibit.

Assume that there is no disjoint Layer 2 configuration. Based on the output, what will happen if uplink eth1/7 on FI-A fails?
A. Fabric failover will force the vNIC that is bound to FI-A to use uplink eth1/7 on FI-
B. Traffic from any hosts using this pin group will use e1/8 on FI-A.
C. The host will lose Ethernet uplink connectivity on FI-
D. Cisco UCS Manager will disable the host vNIC that is connected to FI-A.
Answer: B

NEW QUESTION: 2
A report author needs to create an Active Report and consider how connections, variables and interactive behaviors using data controls will be handled in the template.
How will these be handled?
A. Connections, variables and interactive using data controls cannot be removed from the template.
B. Connections, variables and interactive using data controls will be removed from the template.
C. Only connections can be removed or added from templates.
D. Connections cannot be removed from templates.
Answer: D

NEW QUESTION: 3
You need to design the recovery strategy for SSRS01.
What should the strategy include? (Each correct answer presents part of the solution. Choose all that apply.)
A. Re-create the SQL Server Agent jobs that are used to trigger schedules.
B. Restore the database encryption key.
C. Restore the msdb database.
D. Restore the Report Server encryption key.
E. Restore the ReportServer and ReportServerTempDB databases with recovery.
F. Restore the ReportServer and ReportServerTempDB databases with no recovery.
Answer: A,D,E
Explanation:
Topic 3, Data Architect
General Background
You are a Data Architect for a company that uses SQL Server 2012 Enterprise edition.
You have been tasked with designing a data warehouse that uses the company's financial database as the data source. From the data warehouse, you will develop a cube to simplify the creation of accurate financial reports and related data analysis.
Background
You will utilize the following three servers:
ServerA runs SQL Server Database Engine. ServerA is a production server and
also hosts the financial database.
ServerB runs SQL Server Database Engine, SQL Server Analysis Services
(SSAS) in multidimensional mode, SQL Server Integration Services (SSIS), and
SQL Server Reporting Services (SSRS).
ServerC runs SSAS in multidimensional mode.
The financial database is used by a third-party application and the table structures
cannot be modified.
-- --
The relevant tables in the financial database are shown in the exhibit. (Click the Exhibit button.)

The SalesTransactions table is 500 GB and is anticipated to grow to 2 TB. The table is partitioned by month. It contains only the last five years of financial data. The CouponUsed, OnSale, and Closeout columns contain only the values Yes or No. Each of the other tables is less than 10 MB and has only one partition.
The SecurityFilter table specifies the sites to which each user has access.
Business Requirements
The extract, transform, load (ETL) process that updates the data warehouse must run daily between 8:00 P.M. and 5:00 A.M. so that it doesn't impact the performance of ServerA during business hours. The cube data must be available by 8:00 A.M.
The cube must meet the following business requirements:
--
Ensure that reports display the most current information available. Allow fast access to support ad-hoc reports and data analysis.
Business Analysts will access the data warehouse tables directly, and will access the cube by using SSRS, Microsoft Excel, and Microsoft SharePoint Server 2010 PerformancePoint Services. These tools will access only the cube and not the data warehouse.
Technical Requirements
SSIS solutions must be deployed by using the project deployment model.
You must develop the data warehouse and store the cube on ServerB. When the number
of concurrent SSAS users on ServerB reaches a specific number, you must scale out
SSAS to ServerC and meet following requirements:
---
Maintain copies of the cube on ServerB and ServerC. Ensure that the cube is always available on both servers. Minimize query response time.
The cube must meet the following technical requirements:
-- --
The cube must be processed by using an SSIS package.
The cube must contain the prior day's data up to 8:00 P.M. but does not need to
contain same-day data.
The cube must include aggregation designs when it is initially deployed.
A product dimension must be added to the cube. It will contain a hierarchy
comprised of product name and product color.
Because of the large size of the SalesTransactions table, the cube must store only aggregations-the data warehouse must store the detailed data. Both the data warehouse and the cube must minimize disk space usage.
As the cube size increases, you must plan to scale out to additional servers to minimize processing time.
The data warehouse must use a star schema design. The table design must be as
denormalized as possible. The history of changes to the Customer table must be tracked in access. --
the data warehouse. The cube must use the data warehouse as its only data source.
Security settings on the data warehouse and the cube must ensure that queries against the SalesTransactions table return only records from the sites to which the current user has
The ETL process must consist of multiple SSIS packages developed in a single project by using the least amount of effort. The SSIS packages must use a database connection string that is set at execution time to connect to the financial database. All data in the data warehouse must be loaded by the SSIS packages.
You must create a Package Activity report that meets the following requirements:
Track SSIS package execution data (including package name, status, start time,
end time, duration, and rows processed).
Use the least amount of development effort.

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