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NEW QUESTION: 1
Which two statements are characteristics of 2.4 GHz frequency band in a wireless environment?(Choose two)
A. 11 available channels
B. FCC allow channels 1 through 14
C. 14 available channels
D. FCC allows channels 1 through 11
E. FCC allow channels 1 through 15
Answer: C,D
Explanation:
Explanation
There is a total of fourteen channels defined for use by Wi-Fi 802.11 for the 2.4 GHz ISM band. Not all of the channels are allowed in all countries: 11 are allowed by the FCC and used in what is often termed the North American domain, and 13 are allowed in Europe where channels have been defined by ETSI. The WLAN / Wi-Fi channels are spaced 5 MHz apart (with the exception of a 12 MHz spacing between the last two channels).
https://www.radio-electronics.com/info/wireless/wi-fi/80211-channels-number-frequencies-ban dwidth.php
NEW QUESTION: 2
サーバー管理者は、インストールされているHPE ProLiantサーバーが消費する電力の24時間の履歴を確認する必要があります。
管理者がこの情報を収集するために使用できるHPEツールはどれですか？
A. IMC
B. Power Advisor
C. iLO
D. UEFI
Answer: C
NEW QUESTION: 3
Periodically, a sample of 20 items are randomly selected from a population that is normally distributed, the average is computed, and plotted. Which of the following statements is correct?
. The average of the logarithms of the values is lognormally distributed.
. The standard deviation of the averages is equal to the standard deviation of the individuals divided by the square root of 20.
. The variance of the averages is equal to the variance of the individuals divided by the square root of 20.
A. IIonly
B. I andIIonly
C. I only
D. I andIIIonly
Answer: A
NEW QUESTION: 4
A telecommunications company needs to predict customer churn (i.e., customers who decide to switch to a competitor). The company has historic records of each customer, including monthly consumption patterns, calls to customer service, and whether the customer ultimately quit the service. All of this data is stored in Amazon S3. The company needs to know which customers are likely going to churn soon so that they can win back their loyalty.
What is the optimal approach to meet these requirements?
A. Use the Amazon Machine Learning service to build the binary classification model based on the dataset stored in Amazon S3. The model will be used regularly to predict churn attribute for existing customers.
B. Use AWS QuickSight to connect it to data stored in Amazon S3 to obtain the necessary business insight. Plot the churn trend graph to extrapolate churn likelihood for existing customers.
C. Use a Redshift cluster to COPY the data from Amazon S3. Create a User Defined Function in Redshift that computes the likelihood of churn.
D. Use EMR to run the Hive queries to build a profile of a churning customer. Apply a profile to existing customers to determine the likelihood of churn.
Answer: B