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NEW QUESTION: 1

Subnet1 contains a virtual appliance named VM1 that operates as a router.
You create a routing table named RT1.
You need to route all inbound traffic to VNet1 through VM1.
How should you configure RT1? To answer, select the appropriate options in the answer area.
You have an Azure subscription that contains a virtual network named VNet1. VNet1 uses an IP address space of 10.0.0.0/16 and contains the subnets in the following table.

Answer:
Explanation:

Explanation


NEW QUESTION: 2
An administrator is troubleshooting network communications between a vCenter Server and an ESXi 6.5
host.
Which log shows the related events between these components?
A. /var/log/vpxa.log
B. /var/log/hostd.log
C. /var/log/fdm.log
D. /var/log/auth.log
Answer: A
Explanation:
Explanation/Reference:
Reference:
https://pubs.vmware.com/vsphere-60/topic/com.vmware.vsphere.monitoring.doc/GUID-832A2618-6B11-
4A28-9672-93296DA931D0.html

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same Scenario.
Each question I 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 correct solution.
Start of repeated Scenario:
A Travel agency named Margie's Travel sells airline tickets to customers in the United
States.
Margie's Travel wants you to provide insights and predictions on flight delays. The agency is considering implementing a system that will communicate to its customers as the flight departure near about possible delays due to weather conditions.
The flight data contains the following attributes:
* DepartureDate: The departure date aggregated at a per hour granularity.
* Carrier: The code assigned by the IATA and commonly used to identify a carrier.
* OriginAirportID: An identification number assigned by the USDOT to identify a unique airport (the flight's Origin)
* DestAirportID: The departure delay in minutes.
*DepDet30: A Boolean value indicating whether the departure was delayed by 30 minutes or more ( a value of 1 indicates that the departure was delayed by 30 minutes or more)
The weather data contains the following Attributes: AirportID, ReadingDate (YYYY/MM/DD
HH), SKYConditionVisibility, WeatherType, Windspeed, StationPressure, PressureChange and HourlyPrecip.
End of repeated Scenario:
You need to use historical data about on-time flight performance and the weather data to predict whether the departure of a scheduled flight will be delayed by more than 30 minutes.
Which method should you use?
A. Classification
B. anomaly detection
C. Linear regression
D. Clustering
Answer: A
Explanation:
https://gallery.cortanaintelligence.com/Experiment/837e2095ce784f1ba5ac623a60232027