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NEW QUESTION: 1
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
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 nears 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

OriginAitportID: An identification number assigned by the USDOT to identify a unique airport (the flight's

origin)
DestAirportID: An identification number assigned by the USDOT to identify a unique airport (the flight's

destination)
DepDel: The departure delay in minutes

DepDel30: 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.
You have an untrained Azure Machine Learning model that you plan to train to predict flight delays.
You need to assess the variability of the dataset and the reliability of the predictions from the model.
Which module should you use?
A. Cross-Validate Model
B. Tune Model Hyperparameters
C. Train Model
D. Evaluate Model
E. Score Model
Answer: A
Explanation:
Explanation/Reference:
Explanation:
References:
https://msdn.microsoft.com/en-us/library/azure/dn905852.aspx

NEW QUESTION: 2
Wählen Sie für jede der folgenden Aussagen Ja aus, wenn die Aussage wahr ist. Andernfalls wählen Sie Nein. HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Answer:
Explanation:

Explanation

Section: Understand Azure Pricing and Support

NEW QUESTION: 3
In a SIP REFER-based call transfer, which SIP message is being used by the recipient to notify the originator that the final recipient was successfully contacted?
A. 100 Trying
B. 200 BYE
C. NOTIFY with a message body of 200 OK
D. 200 OK
E. 202 Accepted
Answer: C
Explanation:
Explanation
The Refer method always begins within the context of an existing call and starts with theoriginator. The originator sends a Refer request to therecipient(user agent receiving the Refer request) to initiate a triggered Invite request. The triggered Invite request uses the SIP URL contained in the Refer-To header as the destination of the Invite request. The recipient then contacts the resource in the Refer-To header (final-recipient), and returns a SIP 202 (Accepted) response to the originator. The recipient also must notify the originator of the outcome of the Refer transaction--whether the final-recipient was successfully or unsuccessfully contacted. The notification is accomplished using the Notify Method, SIP's event notification mechanism. A Notify message with a message body of SIP 200 OK indicates a successful transfer, while a body of SIP 503 Service Unavailable indicates an unsuccessful transfer. If the call was successful, a call between the recipient and the final-recipient results.