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NEW QUESTION: 1
You create an experiment in Azure Machine Learning Studio- You add a training dataset that contains 10.000 rows. The first 9.000 rows represent class 0 (90 percent). The first 1.000 rows represent class 1 (10 percent).
The training set is unbalanced between two Classes. You must increase the number of training examples for class 1 to 4,000 by using data rows. You add the Synthetic Minority Oversampling Technique (SMOTE) module to the experiment.
You need to configure the module.
Which values should you use? To answer, select the appropriate options in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Microsoft Azure tenant.
You need to provision a new Azure Database for MySQL server database in the tenant.
Solution: You run the Add-AzureRmSq1Database cmdlet from PowerShell.
Does this meet the goal?
A. Yes
B. No
Answer: A
NEW QUESTION: 3
The deadline for responding to all customer requests is eight hours. If the deadline is exceeded, and the request is from a premium customer, the assignment automatically transfers to the department manager.
Which configuration satisfies this requirement?
A. Create a single service level agreement rule with a Transfer escalation action. Use a decision table to test for premium customer service requests.
B. Create service level agreement rules for each customer category. Use a decision table to determine which service level agreement rule to apply to the assignment.
C. Create a single service level agreement rule with a Transfer escalation action. Use a when rule to test for premium customer service requests.
D. Create a single service level agreement rule with a Transfer escalation action. Use the value of a property to calculate the deadline interval.
Answer: D
NEW QUESTION: 4
Your network contains an Active Directory domain named contoso.com. The domain contains two member servers named Server1 and Server2. All servers run Windows Server 2012 R2.
Server1 and Server2 have the Network Load Balancing (NLB) feature installed. The servers are configured as nodes in an NLB cluster named Cluster1. Cluster1 hosts a secure web Application named WebApp1.
WebApp1 saves user state information locally on each node.
You need to ensure that when users connect to WebApp1, their session state is maintained.
What should you configure?
A. The host priority
B. The Scale-Out File Server
C. The cluster quorum settings
D. The failover settings
E. Affinity Single
F. A file server for general use
G. Quick migration
H. The Handling priority
I. Affinity None
J. The preferred owner
K. Live migration
L. The possible owner
Answer: E
Explanation:
Explanation/Reference:
Explanation:
Even though Network Load Balancing (NLB) hasn't changed significantly since Windows Server 2008 and isn't mentioned in this chapter, be sure to review the feature and its configurable options. For example, remember that in port rules for Network Load Balancing clusters, the Affinity setting determines how you want multiple connections from the same client handled by the NLB cluster. "Affinity: Single" redirects clients back to the same cluster host. "Affinity: Network" redirects clients from the local subnet to the cluster host. "Affinity: None" doesn't redirect multiple connections from the same client back to the same cluster host.
http://technet.microsoft.com/en-us/library/bb687542.aspx
Using NLB
Client Affinity
NLB offers three types of client affinity to minimize response time to clients and provide generic support for preserving session state. Each affinity specifies a different method for distributing client requests. In Application Center, the New Cluster Wizard sets affinity to Single by default. Later, you can use the cluster Properties dialog box to modify the affinity. The following table describes the three types of affinity.
No Affinity
With No affinity, NLB does not associate clients with a particular member. Every client request can be load balanced to any member. This affinity provides the best performance but might disrupt clients with established sessions, because subsequent requests might be load balanced to other members where the session information does not exist. Single Affinity In Single affinity, NLB associates clients with particular members by using the client's IP address. Thus, requests coming from the same client IP address always reach the same member. This affinity provides the best support for clients that use sessions on an intranet.
These clients cannot use No affinity because their sessions could be disrupted. Additionally, these clients cannot use Class C affinity because intranet clients typically have IP addresses within a narrow range. It is likely that this range is so narrow that all clients on an intranet have the same Class C address, which means that one member might process all of the requests while other members remain idle. Class C Affinity With Class C affinity, NLB associates clients with particular members by using the Class C portion of the client's IP address. Thus, clients coming from the same Class C address range always access the same member. This affinity provides the best performance for clusters serving the Internet. Bb687542.note (en- us,TechNet.10).gif Note It is not efficient for Internet clients to use Single affinity because, in Single affinity, NLB load balances each client by the client's entire IP address, which can span a broad range. By using Class C affinity, NLB associates clients with only the same Class C portion of the IP address with particular members. Therefore, you essentially reduce the range of IP addresses by which NLB load balances clients.