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NEW QUESTION: 1
In a production environment, your gateway is configured to apply a Hide NAT for all internal traffic destined to the Internet. However, you are setting up a VPN tunnel with a remote gateway, and you are concerned about the encryption domain that you need to define on the remote gateway. Does the remote gateway need to include your production gateway's external IP in its encryption domain?
A. Yes - all packets destined to go through the VPN tunnel will have the payload encapsulated in an ESP packet and after decryption at the remote site, the packet will contain the source IP of the Gateway because of Hide NAT.
B. Yes - The gateway will apply the Hide NAT for this VPN traffic.
C. No - all packets destined to go through the VPN tunnel will have the payload encapsulated in an ESP packet and after decryption at the remote site, will have the same internal source and destination IP addresses.
D. No - all packets destined through a VPN will leave with original source and destination packets without translation.
Answer: C
NEW QUESTION: 2
You have an Azure Active Directory (Azure AD) tenant.
You need to create a conditional access policy that requires all users to use multi-factor authentication when they access the Azure portal.
Which three settings should you configure? To answer, select the appropriate settings to the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
https://docs.microsoft.com/en-us/azure/active-directory/conditional-access/howto-conditional-access-policy-all-users-mfa
NEW QUESTION: 3
Jane, the GL accountant, comes to you with a requirement: the recurring journals batches must be automatically generated at specified intervals. What would be your response?
A. Allow Dynamic Insert must be enabled to satisfy this requirement.
B. It is not possible to satisfy this requirement; recurring journals must be created manually.
C. Cross-validation rules must be defined to satisfy this requirement.
D. It is possible to satisfy this requirement by using theautoallocation functionality.
Answer: D
NEW QUESTION: 4
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 number of taxi journeys in the dataset
B. the trip distance of individual taxi journeys
C. the fare of individual taxi journeys
D. the trip ID of individual taxi journeys
Answer: B
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