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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
OriginAirportID: 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 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. anomaly detection
B. linear regression
C. classification
D. clustering
Answer: C
Explanation:
Explanation/Reference:
Explanation:
References:
https://gallery.cortanaintelligence.com/Experiment/Binary-Classification-Flight-delay-prediction-3
NEW QUESTION: 2
管理者は、シングルボリュームJBODストレージアレイでドライブが不良であるというメッセージをシステムコンソールに表示します。 数分後、ユーザーはヘルプデスクに電話をかけて、アンマップされたドライブからファイルを読み取ることができない旨を報告します。
A. 故障したドライブを交換し、アレイを再構築させます。
B. ホットスペアを使用してアレイの再構築を自動的に許可します。
C. 故障したドライブを交換し、最後のバックアップからデータを復元します。
D. 故障したドライブを取り付け直し、パリティドライブを使用してアレイを復元してください。
Answer: C
NEW QUESTION: 3
HOTSPOT
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.
You query a database that includes two tables: Project and Task. The Project table includes the following columns:
You need to identify the owner of each task by using the following rules:
-Return each task's owner if the task has an owner.
-If a task has no owner, but is associated with a project that has an owner, return the project's owner.
-Return the value -1 for all other cases.
How should you complete the Transact-SQL statement? To answer, select the appropriate Transact-SQL segments in the answer area.
Answer:
Explanation:
Box 1: COALESCE
COALESCE evaluates the arguments in order and returns the current value of the first expression that initially does not evaluate to NULL.
Box 2: T.UserID, p.UserID, -1
-Return each task's owner if the task has an owner.
-If a task has no owner, but is associated with a project that has an owner, return the project's owner.
-Return the value -1 for all other cases.
Box 3: LEFT JOIN
The LEFT JOIN keyword returns all rows from the right table (table2), with the matching rows in the left table (table1). The result is NULL in the left side when there is no match. Here the right side could be NULL as the projectID of the task could be NULL.
References:
https://msdn.microsoft.com/en-us/library/ms190349.aspx
http://www.w3schools.com/Sql/sql_join_right.asp
NEW QUESTION: 4
A. Option B
B. Option C
C. Option A
D. Option D
Answer: B