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NEW QUESTION: 1
조직은 더 똑똑한 쇼핑 경험을 제공하는 응용 프로그램을 개발했습니다. 그들은 내부 애플리케이션에 액세스 할 수없는 다양한 이해 관계자에게 데모를 보여 주어야 AWS에서 애플리케이션의 데모 버전을 호스팅하기로 결정합니다.
결과적으로 인스턴스가 시작될 때 자동으로 인스턴스에 연결된 고정식 탄성 IP가 필요합니다.
이 시나리오에서 아래에 언급 된 옵션 중 어느 것이 탄력적인 IP를 자동으로 할당하는데 도움이 되지 않습니까?
A. 인스턴스를 시작하고 해당 인스턴스가 부팅 될 때 제공되는 매개 변수를 기반으로 탄력적 IP를 할당하는 제어 응용 프로그램을 만듭니다.
B. VPC로 인스턴스를 실행하고 기본 네트워크 인터페이스에 신축성있는 IP를 할당합니다.
C. 시스템 부팅시 인스턴스 메타 데이터를 가져오고 해당 메타 데이터를 사용하여 공용 IP를 할당하는 스크립트를 작성하십시오.
D. 사용자 데이터에 탄력적 인 IP를 제공하고 탄력적 인 IP를 가져 와서 인스턴스에 할당 할 부트 스트랩 스크립트를 설정하십시오.
Answer: C
Explanation:
설명
EC2를 사용하면 사용자가 On-Demand 인스턴스를 시작할 수 있습니다. 조직에서 데모 용도로만 애플리케이션을 임시로 사용하는 경우 탄성 IP를 할당하는 가장 좋은 방법은 다음과 같습니다.
VPC로 인스턴스를 시작하고 기본 네트워크 인터페이스에 EIP를 지정하십시오. 이렇게하면 모든 인스턴스가 시작될 때마다 동일한 IP가됩니다. 부트 스트랩 스크립트를 작성하고 EIP를 할당하는 데 사용할수 있는 사용자 데이터와 같은 일부 메타 데이터를 제공하십시오. 인스턴스의 시작 및 중지를 스케줄 할 수있는 컨트롤러 인스턴스를 작성하고 컨트롤러 인스턴스가 인스턴스 부팅을 확인하고 EIP를 할당 할 수 있도록 매개 변수로 EIP 인스턴스 메타 데이터는 공용 / 개인 IP와 같은 현재 인스턴스 데이터를 제공합니다. EIP를 할당하는 데는 아무 쓸모가 없습니다.
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AESDG-chapter-instancedata.html

NEW QUESTION: 2
Which print job is typical for a vertical business?
A. letterheads
B. proof prints
C. brochures
D. business cards
Answer: B

NEW QUESTION: 3
Powerful Performance Presenters (PPP) is a performance attribution and evaluation firm for pension consulting firms and has recently been hired by Stober and Robertson to conduct a performance attribution analysis for TopTech. Tom Harrison and Wendy Powell are the principals for PPP. Although performance attribution has come under fire lately because of its shortcomings, Stober believes PPP provides a needed service to its clients. Robertson shares Stober's view of performance attribution analysis.
Stober and Robertson request that Harrison and Powell provide a discussion of performance measures.
During a conversation on complements to attribution analysis, Harrison notes the uses of the Treynor ratio.
He states that the Treynor ratio is appropriate only when the investor's portfolio is well diversified. Powell states that the Sharpe ratio and the Treynor ratio will typically yield the same performance rankings for a set of portfolios.
Stober requests that PPP do some performance attribution calculations on TopTech's managers. In order to facilitate the analysis, Stober provides the information in the following table:

Harrison states one of PPP's services is that it will determine if TopTech has chosen a valid benchmark.
Stoher volunteers that indeed his firm's benchmark possesses the properties of a valid benchmark and describes its composition. The benchmark has the following characteristics:
* It uses the top 10% of U.S. portfolio managers each year in each asset class as the benchmark for TopTech managers;
* TopTech is very careful to make sure that its managers are familiar with the securities in each benchmark asset class;
* The identities and weights of various securities in the TopTech benchmark are clearly defined.
During a presentation to Stober, Robertson, and other TopTech executives, Harrison and Powell describe how macro attribution analysis can decompose an entire fund's excess returns into various levels. In his introduction, Robertson delineates the six levels as net contributions, risk-free return, asset categories, benchmarks, investment managers, and allocations effects.
Robertson states that TopTech has performed impressively at the investment managers level tor three years in a row. Harrison and Powell then describe the levels in greater detail. Harrison describes the benchmark level as the difference between active managers' returns and their benchmark returns. Powell states that the investment managers' level reflects the returns to active management on the part of the fund's managers, weighted by the amount actually allocated to each manager.
At the request of Stober, Harrison and Powell explore alternatives to the benchmark TopTech is currently using for its small-cap value manager. After some investigation of the small-cap value manager's emphasis, Harrison and Powell derive four potential custom benchmarks and calculate two measures to evaluate the benchmarks: (1) the return to the manager's active management or A = portfolio return - benchmark return; and (2) the return to the manager's style or S = benchmark return - broad market return.
The following characteristics are presented below for each benchmark: (1) the beta between the benchmark and the small-cap value portfolio; (2) the tracking error (i.e., the standard deviation of A); (3) the turnover of the benchmark; and (4) the correlation between A and S.

Harrison and Powell evaluate the benchmarks based on the four measures.
The TopTech benchmark contains all the following properties of a valid benchmark except:
A. it is unambiguous.
B. it is investable.
C. it is reflective of current investment opinion.
Answer: B
Explanation:
Explanation/Reference:
Explanation:
TopTech's benchmark appears to be reflective of current investment opinion, because the managers have knowledge of the securities in the benchmark. It also appears to be unambiguous, because the weights and identities of the securities in the benchmark are clearly identified.
However, a benchmark must satisfy five other criteria to be considered valid. In TopTech's case, the benchmark is not specified in advance and is not invescable. By choosing the top 10% of managers after the fact, TopTech's managers have no knowledge of what securities constitute the benchmark before the fact. Thus, their benchmark is also not investable. TopTech's managers cannot replicate the benchmark positions before the fact because they do not know the top ten managers at the beginning of the measurement period. In sum, TopTech's benchmark does nor possess all the properties of a valid benchmark. (Study Session 17, LOS 47-f)

NEW QUESTION: 4
You deploy a RESTful ASP.NET Web API to manage order processing.
You are developing an Azure App Services Web App to consume the API and allow customers to order products. You use the HttpClient object to process order entries. The API throws SocketException errors when the Web App experiences a high volume of concurrent users.
You need to resolve the errors.
What should you do?
A. Use the static modifier to declare the HttpClient object.
B. Create a new HttpClient instance for each API request and use asynchronous method calls.
C. Increase the value of the Timeout property when declaring the HttpClient object.
D. Implement a Using statement block when declaring the HttpClient object.
Answer: A
Explanation:
Explanation
If the class that wraps the external resource is shareable and thread-safe, create a shared singleton instance or a pool of reusable instances of the class.
The following example uses a static HttpClient instance, thus sharing the connection across all requests.
public class SingleHttpClientInstanceController : ApiController
{
private static readonly HttpClient httpClient;
static SingleHttpClientInstanceController()
{
httpClient = new HttpClient();
}
// This method uses the shared instance of HttpClient for every call to GetProductAsync.
public async Task<Product> GetProductAsync(string id)
{
var hostName = HttpContext.Current.Request.Url.Host;
var result = await httpClient.GetStringAsync(string.Format("http://{0}:8080/api/...", hostName)); return new Product { Name = result };
}
}
References: https://docs.microsoft.com/en-us/azure/architecture/antipatterns/improper-instantiation/