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NEW QUESTION: 1
Why is economic capital across market, credit and operational risks simply added up to arrive at an estimate of aggregate economic capital in practice?
A. Market, credit and operational risks are perfectly correlated which justifies adding up their associated economic capital.
B. Since market, credit and operational risks are significantly different measures of risk, there is no diversification benefit to computing economic capital to banks across types of risks.
C. In practice, it is very difficult to estimate the correlations between the risk categories and as a result a conservative estimate is obtained by adding up the risks.
D. Regulators require banks to add up economic capital across market, credit and operational risks.
Answer: C
NEW QUESTION: 2
You have a dataset that includes home sales data for a city. The dataset includes the following columns.
Each row in the dataset corresponds to an individual home sales transaction.
You need to use automated machine learning to generate the best model for predicting the sales price based on the features of the house.
Which values should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Regression
Regression is a supervised machine learning technique used to predict numeric values.
Box 2: Price
Reference:
https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer
NEW QUESTION: 3
Which statement best represents the characteristics of a VLAN?
A. Ports in a VLAN will not share broadcasts amongst physically separate switches.
B. A VLAN is a logical broadcast domain that can span multiple physical LAN segments.
C. A VLAN can only connect across a LAN within the same building.
D. A VLAN provides individual port security.
Answer: B