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NEW QUESTION: 1
Alpha Bank determined that Delta Industrial Machinery Corporation has 2% change of default on a one-year no-payment of USD $1 million, including interest and principal repayment. The bank charges 3% interest rate spread to firms in the machinery industry, and the risk-free interest rate is 6%. Alpha Bank receives both interest and principal payments once at the end the year. Delta can only default at the end of the year. If Delta defaults, the bank expects to lose 50% of its promised payment. Hence, the loss rate in this case will be
A. 1%
B. 3%
C. 10%
D. 5%
Answer: A
NEW QUESTION: 2
Sie entwickeln einen ETL-Prozess, um eingehende Daten zu bereinigen und zu konsolidieren. Der ETL-Prozess verwendet eine Referenztabelle, um zu ermitteln, welche Daten in der Zieltabelle bereinigt werden müssen. Der Server, auf dem sich die Tabellen befinden, wird täglich neu gestartet.
Sie müssen den Zeitaufwand für die Ausführung der Abfrage und den Zeitaufwand für das Auffüllen der Referenztabelle minimieren.
Was tun?
A. Konvertiert die Zieltabelle in eine speicheroptimierte Tabelle. Erstellen Sie eine nativ kompilierte gespeicherte Prozedur, um die Daten zu bereinigen und zu konsolidieren.
B. Erstellen Sie eine systemeigene kompilierte gespeicherte Prozedur, um den ETL-Prozess für beide Tabellen zu implementieren.
C. Konvertiert die Referenztabelle in eine speicheroptimierte Tabelle. Setzen Sie die Haltbarkeitsoption auf SCHEMA_AND_DATA>
D. Konvertiert die Referenztabelle in eine speicheroptimierte Tabelle. Setzen Sie die Haltbarkeitsoption auf SCHEMA_ONLY.
Answer: D
NEW QUESTION: 3
You are developing a linear regression model in Azure Machine Learning Studio. You run an experiment to compare different algorithms.
The following image displays the results dataset output:
Use the drop-down menus to select the answer choice that answers each question based on the information presented in the image.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Boosted Decision Tree Regression
Mean absolute error (MAE) measures how close the predictions are to the actual outcomes; thus, a lower score is better.
Box 2:
Online Gradient Descent: If you want the algorithm to find the best parameters for you, set Create trainer mode option to Parameter Range. You can then specify multiple values for the algorithm to try.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression
NEW QUESTION: 4
展示を参照してください。
この設定はどのVPNソリューションを表しますか。
A. サイト間
B. DMVPN
C. SSL VPN
D. Cisco AnyConnect(IKEv2)
Answer: C