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NEW QUESTION: 1
Consider:

What does the range value in the type column mean?
A. There is a range of indexes that can be used.
B. The table will be scanned over a certain range of values.
C. This type of index uses the range hash.
D. You can use an index and return rows that fall within a range of values.
Answer: C

NEW QUESTION: 2
特徴抽出方法を選択する必要があります。
どの方法を使用する必要がありますか？
A. ムードの中央値検定
B. 相互情報
C. ケンドール相関
D. 順列機能の重要性
Answer: C
Explanation:
In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter t), is a statistic used to measure the ordinal association between two measured quantities.
It is a supported method of the Azure Machine Learning Feature selection.
Scenario: When you train a Linear Regression module using a property dataset that shows data for property prices for a large city, you need to determine the best features to use in a model. You can choose standard metrics provided to measure performance before and after the feature importance process completes. You must ensure that the distribution of the features across multiple training models is consistent.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/feature-selection-modules

NEW QUESTION: 3
Refer to the exhibit.

A company has a Mobility Master (MM)-based solution with a guest WLAN. During the captive portal
redirection, users who access a non-HTTPS Website see the error shown in the exhibit.
How can a network administrator prevent this error?
A. Enable automatic CPSec certificate deployment.
B. Replace the default server certificate for mobility controllers with a certificate signed by a trusted CA.
C. Replace the default Mobility Master certificate with a certificate that has the correct hostname.
D. Reconfigure the guest WLAN to use EAP methods that rely on passwords rather than certificates.
Answer: B