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NEW QUESTION: 1
企業は、Microsoft Windowsインスタンスのフリート上で実行されているアプリケーションを持っています。オペレーティングシステムへのパッチは毎月適用する必要があります。 AWS Systems Manager Patch Managerは、スケジュールに従ってパッチを適用するために使用されます。
フリートにパッチが適用されると、顧客はサービス応答の遅延について不満を言います。
顧客に最小限の影響でパッチを確実に展開するために何ができますか？
A. 一度にパッチされるインスタンスの数を100％に変更します。
B. パッチが適用されたAmazon Machine Image（AMI）を作成します。パッチを適用したAMIを一度に10％だけのフリートにデプロイするように、メンテナンスウィンドウオプションを構成します。
C. パッチプロセスを開始する前に、Systems Manager Automationドキュメントを使用して、フリート内の各サーバーのスナップショットを作成します。
D. メンテナンスウィンドウを設定して、パッチグループ内のインスタンスの10％に一度にパッチを適用します。
Answer: D
NEW QUESTION: 2
The statements below refer to SNMP commands, which of them is not valid?
A. All of the above.
B. To report events to the NMS, managed devices make use of the trap command.
C. Control of managed devices occurs when the NMS issues the write command.
D. When the managed device issues the trap command, an agent will report an event.
E. The trap command is issued when the NMS requests events from the managed devices.
Answer: E
Explanation:
Trap operations allow Simple Network Management Protocol (SNMP) agents to send asynchronous notifications that an event has occurred. Traps are sent on a best-effort basis and without any method to verify whether they were received.
Reference:
http://www.cisco.com/en/US/tech/CK648/CK362/technologies_configuration_example09186a0080094aa1.shtml
NEW QUESTION: 3
Tran Holten, a quantitative analyst with Smith, Kleen & Beetchnutty Brokerage, has just been informed of an important error in one of his recent statistical endeavors. Specifically, in one hypothesis test, Mr. Holten rejected a null hypothesis that later was proven to be true. Which of the following best describes this type of error in hypothesis testing? Further, if the confidence level of the test were increased, would the probability of this error increase, decrease, or remain unchanged?
A. Type I error; remain unchanged
B. Type II error; remain unchanged
C. Type I error; decrease
D. Type II error; increase
E. Type I error; increase
F. Type II error; decrease
Answer: C
Explanation:
Explanation/Reference:
Explanation:
In this example, Tran Holten has incorrectly rejected a null hypothesis. This type of error in hypothesis testing is called a Type I error. In hypothesis testing, the Type I error is given much more attention than the Type II error. In most hypothesis tests, the probability of a null hypothesis is equal to the significance level of the test. A significance level of 0.01, for example, indicates that a 1% chance exists that the null hypothesis will be rejected when it is indeed true. Another way to think of the probability of a Type I error is to observe the following relationship:
{Probability of a Type I error = (1 - confidence level)}.
For example, a confidence level of 95% leaves a 5% probability of a Type I error occurring. If this confidence level were to increase to say, 98%, then the probability of a Type I error would reduce to 2%.
As you can see, there is a relationship between the confidence level of a test and the probability of a Type I error. If the confidence level of the test in this example were to increase, then the probability of a Type I error would decrease.
NEW QUESTION: 4
Millennium Investments (MI), an investment advisory firm, relies on mean-variance analysis to advise its clients. Mi's advisors make asset allocation recommendations by selecting the mix of assets along the capital allocation line that is most appropriate for each client.
One of MPs clients, Edward Alverson, 60 years of age, requests an analysis of four risky mutual funds (Fund W, Fund X, Fund Y, and Fund Z). After examining the four funds, MI finds that all four mutual funds are equally weighted portfolios, and that all of the funds, except Fund Z, are mean-variance efficient. MI also finds that the correlations between all pairs of the mutual funds are less than one.
MI calculates the average variance of returns across all assets within each mutual fund, the average covariance of returns across all pairs of assets within each mutual fund, and each mutual fund's total variance of returns. The results of Mi's calculations are reported in Exhibit 1.
During his meeting with the MT advisors, Alverson explains that he will retire soon, and, consequently, is highly risk-averse. Alverson agrees with Mi's reliance on mean-variance analysis and makes the following statements:
Statement 1: All portfolios lying on the minimum variance frontier are desirable portfolios.
Statement 2: Because I am highly risk-averse, I expect that my investment portfolio on the capital allocation line will have risk and return equal to that of the global minimum variance portfolio.
MI operates under the assumption that all investors agree on the forecasts of asset expected returns, variances, and correlations. Based on these assumptions, MI created the Millennium Investments 5000 Fund (MI-5000), which is a market value-weighted portfolio of all assets in the market. MI derives the forecasts for the MI-5000 Fund and for a fund comprising short-term government securities shown in Exhibit 2.
After assessing Alverson's level of risk aversion, Mi's advisors determine that the appropriate standard deviation for Alverson's investment portfolio equals 12%, and that Alverson can achieve his target standard deviation though appropriate allocations to the MI-5000 Fund and to the Government Securities Fund.
Of the four mutual funds listed in Exhibit 1, which is most likely to include the largest number of assets?
A. Fund Z.
B. Fund X.
C. Fund W.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
The variance for an equally-weighted portfolio approaches the average covariance of the assets in the portfolio as the number of assets in the portfolio increases. Of the four portfolios, Fund Ws variance is closest to its average asset covariance. While not necessary to answer this question, we could derive the exact number of assets in each portfolio using the formula for the variance of an equally weighted portfolio:
Therefore, the variance of an equally weighted portfolio approaches the average covariance as n gets large. (Study Session 18, LOS 64.d)