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NEW QUESTION: 1
A company is building a voting system for a popular TV show, viewers win watch the performances then visit the show's website to vote for their favorite performer. It is expected that in a short period of time after the show has finished the site will receive millions of visitors. The visitors will first login to the site using their Amazon.com credentials and then submit their vote. After the voting is completed the page will display the vote totals. The company needs to build the site such that can handle the rapid influx of traffic while maintaining good performance but also wants to keep costs to a minimum. Which of the design patterns below should they use?
A. Use CloudFront and an Elastic Load Balancer in front of an auto-scaled set of web servers, the web servers will first call the Login with Amazon service to authenticate the user, the web servers will process the users vote and store the result into a DynamoDB table using IAM Roles for EC2 instances to gain permissions to the DynamoDB table.
B. Use CloudFront and the static website hosting feature of S3 with the Javascript SDK to call the Login With Amazon service to authenticate the user, use IAM Roles to gain permissions to a DynamoDB table to store the users vote.
C. Use CloudFront and an Elastic Load balancer in front of an auto-scaled set of web servers, the web servers will first call the Login With Amazon service to authenticate the user then process the users vote and store the result into a multi-AZ Relational Database Service instance.
D. Use CloudFront and an Elastic Load Balancer in front of an auto-scaled set of web servers, the web servers will first call the Login With Amazon service to authenticate the user, the web servers win process the users vote and store the result into an SQS queue using IAM Roles for EC2 Instances to gain permissions to the SQS queue. A set of application servers will then retrieve the items from the queue and store the result into a DynamoDB table.
Answer: D

NEW QUESTION: 2
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 investable.
B. it is reflective of current investment opinion.
C. it is unambiguous.
Answer: A
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: 3

A. Option E
B. Option A
C. Option B
D. Option C
E. Option D
Answer: B

NEW QUESTION: 4
HOTSPOT




Answer:
Explanation:

Explanation:

The GRE keys must match.
To separate the traffic between the two virtualized networks, the GRE headers on the tunneled packets include a GRE Key that provides a unique Virtual Subnet ID for each virtualized network.
References:
https://blogs.technet.microsoft.com/keithmayer/2012/10/08/step-by-step-hyper-v-network- virtualization-31-days-of-favorite-features-in-winserv-2012-part-8-of-31/