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NEW QUESTION: 1
While seeking the source of interference on channel 11 in your 802.11n WLAN running within 2.4 GHz, you notice a signal in the spectrum analyzer real time FFT display. The signal is characterized with the greatest strength utilizing only 1-2 megahertz of bandwidth and it does not use significantly more bandwidth until it has weakened by roughly 20 dB. At approximately -70 dB, it spreads across as much as
35 megahertz of bandwidth.
What kind of signal is described?
A. A 2.4 GHz WLAN transmission using transmit beam forming
B. A frequency hopping wireless device in discovery mode
C. A high-power ultra wideband (UWB) Bluetooth transmission
D. A high-power, narrowband signal
E. A deauthentication flood from a WIPS blocking an AP
F. An HT-OFDM access point
Answer: D
NEW QUESTION: 2
George Armor, CFA, is a new stock analyst for Pedad Investments. One tool that Pedad uses to compare stock valuations is the dividend discount model (DOM). In particular, the firm evaluates stocks in terms of
"justified" multiples of sales and book value. These multiples are based on algebraic manipulation of the DDM. Over time, these multiples seem to provide a good check on the market valuation of a stock relative to the company's fundamentals. Any stock which is currently priced below its value based on a justified multiple of sales or book value is considered attractive for purchase by Pedad portfolio managers. Exhibit 1 contains financial information from the year just ended for three stable companies in the meat-packing industry: Able Corp, Baker, Inc., and Charles Company, from which Armor will derive his valuation estimates.
One of Pedad's other equity analysts, Marie Swift, CFA, recently held a meeting with Armor to discuss a relatively new model the firm is implementing to determine the P/E ratios of companies that Pedad researches. Swift explains that the model utilizes a cross-sectional regression using the previous year-end data of a group of comparable companies' P/E ratios against their dividend payout ratios (r), sustainable growth rates (g), and returns on equity (ROE). The resulting regression equation is used to determine a predicted P/E ratio for the subject company using the subject company's most recent year-end data. Swift has developed the following model, which has an R-squared of 81%, for the meat packing industry (16 companies):
Predicted P/E = 2.74 + 8.21(r) + 14.21(g) + 2.81(ROE)
(STD error) (2.11) (6.52) (9.24) (2.10)
After Swift presents the model to Armor, she points out that models of this nature are subject to limitations.
In particular, multicollinearity, which appears to be present in the meat packing industry model, can create great difficulty in interpreting the effects of the individual coefficients of the model. Swift continues by stating that in spite of this limitation, models of this nature generally have known and significant predictive power across different time periods although not across different stocks.
Based on Exhibit 1, select the stock that is the most undervalued by applying the justified price-to-book value method.
A. Baker, Inc.
B. Able Corp.
C. Charles Company.
Answer: A
Explanation:
Explanation/Reference:
Explanation:
The justified price-to-book value (P/B) ratio is calculated as:
P/B = (ROE - g) / (r - g)
where:
the growth rate: g = ROE x (1 - payout)
Able: g = 0.25 X (1 - 1.00 / 2.50) = 0.15
Baker. g = 0.15 X (1 - 1.60 / 4.80) = 0.10
Charles: g = 0.08 x (1 - 2.50 / 4.00) = 0.03
Justified price-to-book value (P/B):
Able: P/B = (0.25 - 0.15) / (0.20 - 0.15) = 2, implying price = 2 x 10 = $20 Baker: P/B s (0.15 - 0.10) / (0.12 - 0.10) = 2.5, implying price = 2.5 x 32 = $80 Charles: P/B = (0.08 - 0.03) / (0.10 - 0.03) = 0.71, implying price = 0.71 x 50 = $35.5 Able sells for $60, triple its value; Baker sells for $70, 12% below its value; and Charles sells for $35-5, right at its value.
(Study Session 12, LOS 42 j,m)
NEW QUESTION: 3
웹 사이트는 감사 레코드 보안 프로토콜 내의 사용자 이름 대신 Amazon Aurora에서 GUID (Globally Unique Identifier) 검색을 사용하여 사용자 작업 기록을 유지하여 GUID 콘텐츠가 회사의 VPN을 떠나서는 안되는 GUID 상태를 나타냅니다.
웹 트래픽이 증가함에 따라 GUID에 대한 사용자 레코드를 따라 잡기 위해 웹 서버 및 Azure 읽기 전용 복제본의 수도 증가했습니다.
성능을 향상시키면서 필요한 읽기 전용 복제본 수를 줄이려면 어떻게 해야 합니까?
A. 요청시 연결을 다시 만들 수 있도록 웹 서버 인스턴스의 메모리에 사용자 이름과 GUID를 유지하십시오. 30 분 후에 레코드를 제거하십시오.
B. 데이터베이스를 참조하지 않고 필요할 때 값을 계산할 수 있도록 GUID를 사용자 이름의 MD5 해시로 변경하십시오.
C. Base64를 사용하여 GUID를 암호화하고 이를 사용자 세션 쿠키에 저장 감사 레코드가 필요할 때 GUID를 해독하십시오.
D. Amazon ElastiCache for Redis 서버를 인프라에 배포하고 사용자 이름 및 GUID를 저장합니다. 필요한 경우 ElastiCache에서 GUID를 검색합니다.
Answer: D
NEW QUESTION: 4
Which of the following commands can be used to instruct the init process to switch runlevels?
(Choose TWO correct answers)
A. telinit
B. reinit
C. initctl
D. init
E. runlevel
Answer: A,D