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NEW QUESTION: 1
General Overview
You are the Senior Database Administrator (DBA) for a software development company named Leafield
Solutions. The company develops software applications custom designed to meet customer requirements.
Requirements Leafield Solutions has been asked by a customer to develop a web-based Enterprise
Resource Planning and Management application. The new application will eventually replace a desktop
application that the customer is currently using. The current application will remain in use while the users
are trained to use the new webbased application.
You need to design the SQL Server and database infrastructure for the web-based application.
Databases
You plan to implement databases named Customers, Sales, Products, Current_Inventory, and
TempReporting.
The Sales database contains a table named OrderTotals and a table named SalesInfo.
A stored procedure named SPUpdateSalesInfo reads data in the OrderTotals table and modifies data in
the SalesInfo table.
The stored procedure then reads data in the OrderTotals table a second time and makes further changes
to the information in the SalesInfo table.
The Current_Inventory database contains a large table named Inv_Current. The Inv_Current table has a
clustered index for the primary key and a nonclustered index. The primary key column uses the identity
property.
The data in the Inv_Current table is over 120GB in size. The tables in the Current_Inventory database are
accessed by multiple queries in the Sales database.
Another table in the Current_Inventory database contains a self-join with an unlimited number of
hierarchies. This table is modified by a stored procedure named SPUpdate2.
An external application named ExternalApp1 will periodically query the Current_Inventory database to
generate statistical information. The TempReporting database contains a single table named GenInfo.
A stored procedure named SPUPdateGenInfo combines data from multiple databases and generates
millions of rows of data in the GenInfo table.
The GenInfo table is used for reports.
When the information in GenInfo is generated, a reporting process reads data from the Inv_Current table
and queries information in the GenInfo table based on that data.
The GenInfo table is deleted after the reporting process completes. The Products database contains tables
named ProductNames and ProductTypes.
Current System
The current desktop application uses data stored in a SQL Server 2005 database named
DesABCopAppDB. This database will remain online and data from the Current_Inventory database will be
copied to it as soon as data is changed in the Current_Inventory database.
SQL Servers
A new SQL Server 2012 instance will be deployed to host the databases for the new system. The
databases will be hosted on a Storage Area Network (SAN) that provides highly available storage.
Design Requirements
Your SQL Server infrastructure and database design must meet the following requirements:
Confidential information in the Current_ Inventory database that is accessed by ExternalApp1 must be
securely stored.
Direct access to database tables by developers or applications must be denied.
The account used to generate reports must have restrictions on the hours when it is allowed to make a
connection.
Deadlocks must be analyzed with the use of Deadlock Graphs.
In the event of a SQL Server failure, the databases must remain available.
Software licensing and database storage costs must be minimized.
Development effort must be minimized.
The Tempdb databases must be monitored for insufficient free space.
Failed authentication requests must be logged.
Every time a new row is added to the ProductTypes table in the Products database, a user defined
function that validates the row must be called before the row is added to the table.
When SPUpdateSalesInfo queries data in the OrderTotals table the first time, the same rows must be
returned along with any newly added rows when SPUpdateSalesInfo queries data in the OrderTotals
table the second time.
You need to plan the SQL Server 2012 deployment that meets the design requirements.
Which of the following steps should you perform?
A. Configure AllwaysOn
B. Upgrade the existing SQL Server 2005 server to SQL Server 2012.
C. Install one new server running SQL Server 2012.
D. Install two new servers running SQL Server 2012
E. Configure Failover Clustering
Answer: A,B,C
NEW QUESTION: 2
DHCPクライアントを構成するには、どのコマンドを入力する必要がありますか？
A. ip dhcp client
B. ip dhcp pool
C. ip helper-address
D. ip address dhcp
Answer: D
Explanation:
Reference:
https://www.cisco.com/c/en/us/td/docs/ios-xml/ios/ipaddr_dhcp/configuration/15-sy/dhcp-15-sy-book/config-dhcp-client.html
NEW QUESTION: 3
Which ntatement about NAT64 in true?
A. It can be configured for ntatelenn and ntateful trannlation.
B. It unen one-to-one mapping between IPv6 addressen and IPv4 addressen.
C. It requiren ntatic address mapping between IPv6 addressen and IPv4 addressen.
D. It can be uned to trannlate an IPv6 network to another IPv6 network.
Answer: A
NEW QUESTION: 4
You plan to explore demographic data for home ownership in various cities. The data is in a CSV file with the following format:
age,city,income,home_owner
21,Chicago,50000,0
35,Seattle,120000,1
23,Seattle,65000,0
45,Seattle,130000,1
18,Chicago,48000,0
You need to run an experiment in your Azure Machine Learning workspace to explore the data and log the results. The experiment must log the following information:
* the number of observations in the dataset
* a box plot of income by home_owner
* a dictionary containing the city names and the average income for each city You need to use the appropriate logging methods of the experiment's run object to log the required information.
How should you complete the code? To answer, drag the appropriate code segments to the correct locations. Each code segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: log
The number of observations in the dataset.
run.log(name, value, description='')
Scalar values: Log a numerical or string value to the run with the given name. Logging a metric to a run causes that metric to be stored in the run record in the experiment. You can log the same metric multiple times within a run, the result being considered a vector of that metric.
Example: run.log("accuracy", 0.95)
Box 2: log_image
A box plot of income by home_owner.
log_image Log an image to the run record. Use log_image to log a .PNG image file or a matplotlib plot to the run. These images will be visible and comparable in the run record.
Example: run.log_image("ROC", plot=plt)
Box 3: log_table
A dictionary containing the city names and the average income for each city.
log_table: Log a dictionary object to the run with the given name.