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NEW QUESTION: 1
Which two Cisco data center switches provide support for Virtual Extensible LAN and In-Service Software Upgrade and patching without any interruption in operation? (Choose two.)
A. Cisco Nexus 5548 Switch
B. Cisco Nexus 3064x Switch
C. Cisco Nexus 9396PX Switch
D. Cisco Nexus 6004 Switch
E. Cisco Nexus 9508 Switch
Answer: C,E

NEW QUESTION: 2
Which option describes how OBIEE natively integrates with HFM?
A. Direct relational database access
B. Through EPM Analytic Data Model (ADM) connectivity
C. OBIEE does not support HFM integration
D. Through Essbase connectivity
Answer: B
Explanation:
Explanation
BI EE uses the ADM driver to extract the data from HFM.
Note: HFM (Hyperion Financial Management)
Example:
I EE connects to HFM through JavaHost. So, the setup for configuring the connectivity is to basically make the EPM environment variables available for access to BI EE. Before making the changes, there are a couple of things to be aware of
1. Ensure that DCOM is enabled on the BI Server machine. This is needed for HFM client to work/connect properly with HFM Server.
2. Ensure that HFM Client is installed.
The above assumes EPM 11.1.2.x version. If you are on Hyperion 9.3.3, then you need to have the ADM drivers installed manually. All of this is documented clearly. So, rather than re-iterating that i will just point to the link here. Ensure that you follow all the steps mentioned in the docs else you will have issues in the connectivity. Once all the pre-requisite steps are done, we start off with the metadata import process.

NewImage

NEW QUESTION: 3
Your network contains an Active Directory domain named fabrikam.com
The domain contains a Web server named Web1 that runs Windows Server 2008 R2.
You install the FTP Server role service on Web1.
You need to manage the FTP server settings on Web1.
Which tool should you use?
A. Services
B. Ftp
C. Internet Information Services (IIS) Manager
D. Internet Information Services (IIS) 6.0 Manager
Answer: D

NEW QUESTION: 4
Overview
Application Overview
Contoso, Ltd., is the developer of an enterprise resource planning (ERP) application.
Contoso is designing a new version of the ERP application. The previous version of the ERP application used SQL Server 2008 R2.
The new version will use SQL Server 2014.
The ERP application relies on an import process to load supplier dat
a. The import process updates thousands of rows simultaneously, requires exclusive access to the database, and runs daily.
You receive several support calls reporting unexpected behavior in the ERP application. After analyzing the calls, you conclude that users made changes directly to the tables in the database.
Tables
The current database schema contains a table named OrderDetails.
The OrderDetails table contains information about the items sold for each purchase order. OrderDetails stores the product ID, quantities, and discounts applied to each product in a purchase order.
The product price is stored in a table named Products. The Products table was defined by using the SQL_Latin1_General_CP1_CI_AS collation.
A column named ProductName was created by using the varchar data type. The database contains a table named Orders.
Orders contains all of the purchase orders from the last 12 months. Purchase orders that are older than
12 months are stored in a table named OrdersOld.
The previous version of the ERP application relied on table-level security.
Stored Procedures
The current version of the database contains stored procedures that change two tables. The following shows the relevant portions of the two stored procedures:

Customer Problems
Installation Issues

The current version of the ERP application requires that several SQL Server logins be set up to function correctly. Most customers set up the ERP application in multiple locations and must create logins multiple times.
Index Fragmentation Issues
Customers discover that clustered indexes often are fragmented. To resolve this issue, the customers defragment the indexes more frequently. All of the tables affected by fragmentation have the following columns that are used as the clustered index key:
Backup Issues
Customers who have large amounts of historical purchase order data report that backup time is unacceptable.
Search Issues
Users report that when they search product names, the search results exclude product names that contain accents, unless the search string includes the accent.
Missing Data Issues
Customers report that when they make a price change in the Products table, they cannot retrieve the price that the item was sold for in previous orders.
Query Performance Issues
Customers report that query performance degrades very quickly. Additionally, the customers report that users cannot run queries when SQL Server runs maintenance tasks. Import Issues During the monthly import process, database administrators receive many supports call from users who report that they cannot access the supplier data. The database administrators want to reduce the amount of time required to import the data.
Design Requirements
File Storage Requirements
The ERP database stores scanned documents that are larger than 2 MB. These files must only be accessed through the ERP application. File access must have the best possible read and write performance.
Data Recovery Requirements
If the import process fails, the database must be returned to its prior state immediately.
Security Requirements
You must provide users with the ability to execute functions within the ERP application, without having direct access to the underlying tables.
Concurrency Requirements
You must reduce the likelihood of deadlocks occurring when Sales.Prod and Sales.Proc2 execute.
You need to recommend a solution that addresses the index fragmentation and index width issue. What should you include in the recommendation? (Each correct answer presents part of the solution. Choose all that apply.)
A. Change the data type of the lastModified column to smalldatetime.
B. Change the data type of the modifiedBy column to tinyint.
C. Remove the id column from the clustered index.
D. Remove the lastModified column from the clustered index.
E. Change the data type of the id column to bigint.
F. Remove the modifiedBy column from the clustered index.
Answer: D,F
Explanation:
Scenario: Index Fragmentation Issues Customers discover that clustered indexes often are fragmented.
To resolve this issue, the customers defragment the indexes more frequently. All of the tables affected by fragmentation have the following columns that are used as the clustered index key: