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NEW QUESTION: 1
Consider the following diagram:
Which type of attack is occurring?
A. Man-in-the-middle attack using a packet sniffer
B. Polymorphic virus-based attack
C. Distributed denial-of-service attack
D. Denial-of-service attack
Answer: C
NEW QUESTION: 2
You are evaluating the implementation of the planned static IP addresses for DAG1.
You need to identify the appropriate IP addresses for DAG1.
Which two IP addresses should you identify? (Each correct answer presents part of the solution. Choose two.)
A. 192.168.20.10
B. 192.168.1.10
C. 169.254.0.10
D. 192.168.2.10
E. 224.0.0.10
F. 192.168.10.10
Answer: B,F
NEW QUESTION: 3
You have a dataset that contains information about taxi journeys that occurred during a given period.
You need to train a model to predict the fare of a taxi journey. What should you use as a feature?
A. the trip distance of individual taxi journeys
B. the number of taxi journeys in the dataset
C. the fare of individual taxi journeys
D. the trip ID of individual taxi journeys
Answer: A
Explanation:
The label is the column you want to predict. The identified Featuresare the inputs you give the model to predict the Label.
Example:
The provided data set contains the following columns:
passenger_count: The number of passengers on the trip is a feature.
trip_time_in_secs: The amount of time the trip took. You want to predict the fare of the trip before the trip is completed. At that moment, you don't know how long the trip would take. Thus, the trip time is not a feature and you'll exclude this column from the model.
trip_distance: The distance of the trip is a feature.
payment_type: The payment method (cash or credit card) is a feature. fare_amount: The total taxi fare paid is the label.
Reference:
https://docs.microsoft.com/en-us/dotnet/machine-learning/tutorials/predict-prices
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