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NEW QUESTION: 1
The key difference between 'top down models' and 'bottom up models' for operational risk assessment is:
A. Bottom up approaches to operational risk calculate the implied operational risk using available data such as income volatility, capital etc; while top down approaches use causal factors, risk drivers and other factors to get an aggregated estimate of risk.
B. Top down approaches to operational risk calculate the implied operational risk using available data such as income volatility, capital etc; while bottom up approaches use causal factors, risk drivers and other factors to get an aggregated estimate of risk.
C. Top down approaches to operational risk are based upon an analysis of key risk drivers, while bottom up approaches consider causality in risk scenarios.
D. Bottom up approaches to operational risk are based upon an analysis of key risk drivers, while top down approaches consider causality in risk scenarios.
Answer: B
Explanation:
Explanation
Top down approaches rely upon available data such as total capital, income volatility, peer group information etc and attempt to imply the capital attributable to operational risk. They do not consider firm specific scenarios or causal factors. Bottom up approaches on the other hand attempt to determine operational risk capital based upon an identification and quantification of firm specific risks. Bottom up approaches help determine a traditional loss distribution from which capital requirements can be determined at a given level of confidence.
Therefore Choice 'd' is the correct answer.

NEW QUESTION: 2
Which of the following methods for examining a project's stand-alone risk cannot be effectively conducted without the use of a random number generator? Choose the best answer.
A. Monte Carlo Simulation
B. Monte Carlo Regression
C. Probability Analysis
D. More than one of these answers is correct
E. Sensitivity Analysis
F. Scenario Analysis
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Monte Carlo Simulation seeks to examine the NPV of a project throughout a large series of possible values for input variables. When measuring stand-alone risk using Monte Carlo Simulation, the use of a computer and rather complex software package is necessary. In Monte Carlo Simulation, the expected ranges of input variables are specified, and random numbers are incorporated into the analysis function, producing a NPV value across a wide range of possible situations. Monte Carlo Simulation is so named because the technique evolved largely from methods used to analyze probabilities in casino gambling. Scenario analysis involves the establishment of a "best case" and "worst case" scenario, which is compared to a predetermined "base case." Sensitivity Analysis seeks to determine the sensitivity of a project's NPV to changes in specific input variables, and "Probability Analysis" can be conducted using simple statistical formulas. None of these three methods require the use of a random number generator.

NEW QUESTION: 3
Azure Import / Exportサービスを使用して、ファイルをストレージアカウントにコピーする予定です。
インポートジョブのドライブを準備する前に、どちらのファイルを作成する必要がありますか？それぞれの正解はソリューションの一部を示しています。
注：それぞれの正しい選択には1ポイントの価値があります。
A. a dataset CSV file
B. an XML manifest file
C. a driveset CSV file
D. a PowerShell PS1 file
E. a JSON configuration file
Answer: A,C
Explanation:
Explanation
B: Modify the driveset.csv file in the root folder where the tool resides.
C: Modify the dataset.csv file in the root folder where the tool resides. Depending on whether you want to import a file or folder or both, add entries in the dataset.csv file References: https://docs.microsoft.com/en-us/azure/storage/common/storage-import-export-data-to-files