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NEW QUESTION: 1

A. Azure Queue storage
B. A single SQL database in Azure
C. Azure Notification Hubs
D. Azure Table storage
Answer: D
Explanation:
* Azure Table Storage can be useful for applications that must store large amounts of nonrelational data, and need additional structure for that data. Tables offer key-based access to unschematized data at a low cost for applications with simplified data-access patterns. While Azure Table Storage stores structured data without schemas, it does not provide any way to represent relationships between the data.
* As a solution architect/developer, consider using Azure Table Storage when:
/ Your application stores and retrieves large data sets and does not have complex relationships that require server-side joins, secondary indexes, or complex server-side logic.
/ You need to achieve a high level of scaling without having to manually shard your dataset.
References: https://msdn.microsoft.com/en-us/library/azure/jj553018.aspx

NEW QUESTION: 2
Which of the following can an AWS customer use to launch a new Amazon Relational Database Service (Amazon RDS) cluster? (Select TWO.)
A. AWS Management Console
B. Amazon Simple Storage Service (Amazon S3)
C. AWS CloudFormation
D. Amazon EC2 Auto Scaling
E. AWS Concierge
Answer: A,E

NEW QUESTION: 3
Samuel Edson, CFA, portfolio manager for Driver Associates, employs a multifactor model to evaluate individual stocks and portfolios. Edson examines several possible risk factors and finds two that are priced in the marketplace. These two factors are investor sentiment (IS) risk and business cycle (BC) risk. Edson manages three equity portfolios (A, Bt and Q and derives the following relationships for each portfolio, as well as for the S&P 500 stock market index:

Portfolios A and B are well-diversified, while C is a less than fully diversified, value-oriented portfolio. FJS is the surprise in investor sentiment, and FBC is the surprise in the business cycle. Surprises in the risk factors are defined as the difference between the actual value and the predicted value.
Exhibit 1 provides data for the actual and predicted values for the investor sentiment and business cycle risk factors.

Driver Associates uses a two-factor Arbitrage Pricing Model to develop equilibrium expected returns for individual stocks and portfolios:
E(R) = risk free rate + , + , (8)
where:

At the time of Edson's analysis, the long-term government bond yield was 5%.
Equations (1) through (4) are examples of:
A. macroeconomic factor models.
B. statistical factor models.
C. fundamental factor models.
Answer: A
Explanation:
Explanation/Reference:
Explanation:
The models in equations 1 through 4 employ factors derived from macioeconomic variables. (Study Session 18, LOS 64.j)