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NEW QUESTION: 1
The endpoint of a Windows Communication Foundation (WCF) service uses basicHttpBinding for its
binding.
Your company's policies have changed to require that messages not be sent in clear text.
You must ensure that all messages are encrypted when traveling across the network. What should you do?
A. Set the PrincipalPermissionAttribute on the service contract and update the bindingConflguration attribute in the endpoint element of the configuration file to wsHttpBinding.
B. Set the PrincipalPermissionAttribute on the service contract and update the binding attribute in the endpoint element of the configuration file to wsHttpBinding.
C. Set the ProtectionLevelAttribute on the service contract and update the binding attribute in the endpoint element of the configuration file to wsHttpBinding.
D. Set the ProtectionLevelAttribute on the service contract and update the bindingConfiguration attribute in the endpoint element of the configuration file to webHttpBinding.
Answer: C
Explanation:
Explanation/Reference: ProtectionLevel Property
You can set the protection level by applying an appropriate attribute and setting the property.
You can set protection at the service level to affect all parts of every message, or you can set protection
at increasingly granular levels, from methods to message parts.
By default, basicHttpBinding has security disabled.
wsHttpBinding Defines a secure, reliable, interoperable binding suitable for non-duplex service contracts.
The binding implements the following specifications: WS-Reliable Messaging for reliability, and WS-Security
for
message security and authentication. The transport is HTTP, and message encoding is text/XML encoding.
By default, it provides message security using Windows authentication.
How to: Set the ProtectionLevel Property
(http://msdn.microsoft.com/en-us/library/aa347791.aspx)

NEW QUESTION: 2
You are designing an enterprise star schema that will consolidate data from three independent data marts. One of the data marts is hosted on SQL Azure.
Most of the dimensions have the same structure and content. However, the geography dimension is slightly different in each data mart.
You need to design a consolidated dimensional structure that will be easy to maintain while ensuring that all dimensional data from the three original solutions is represented.
What should you do?
A. Implement change data capture.
B. Create three geography dimensions.
C. Create a junk dimension for the geography dimension.
D. Create a conformed dimension for the geography dimension.
Answer: D

NEW QUESTION: 3
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario darstellen. Jede Frage in der Reihe enth?lt eine eindeutige L?sung, mit der die angegebenen Ziele erreicht werden k?nnen. Einige Fragens?tze haben m?glicherweise mehr als eine richtige L?sung, w?hrend andere m?glicherweise keine richtige L?sung haben.
Nachdem Sie eine Frage in diesem Abschnitt beantwortet haben, k?nnen Sie NICHT mehr darauf zur��ckkommen. Infolgedessen werden diese Fragen nicht im ��berpr��fungsbildschirm angezeigt.
Sie haben einen Computer mit dem Namen Computer1, auf dem Windows 10 ausgef��hrt wird.
Sie testen Windows-Updates auf Computer1, bevor Sie die Updates anderen Benutzern in Ihrem Unternehmen zur Verf��gung stellen.
Sie installieren ein Qualit?tsupdate, das mit einem Kundenger?tetreiber in Konflikt steht.
Sie m��ssen das Update von Computer1 entfernen.
L?sung: F��hren Sie an einer Eingabeaufforderung mit erh?hten Rechten den Befehl wusa.exe aus und geben Sie den Parameter / uninstall an.
Erf��llt dies das Ziel?
A. Nein
B. Ja
Answer: B
Explanation:
Explanation
References:
https://support.microsoft.com/en-us/help/934307/description-of-the-windows-update-standalone-installer-in-win

NEW QUESTION: 4
What forecasting method would your project use if your project customer requires an autoregressive moving average for performance forecasting?
A. Judgmental methods
B. Ensemble forecasting
C. Causal/econometric method
D. Time series method
Answer: C
Explanation:
The autoregressive moving average is an example of a causal/econometric method for the forecasting project performance. The casual/econometric forecasting method uses the assumption that it is possible to identify the underlying factors, which might influence the variable being forecasted. For example, sales of umbrellas might be associated with weather conditions. If the causes are understood, projections of the influencing variables can be made and used in the forecast. Some examples of casual/econometric forecasting method are as follows: Regression analysis using linear regression or non-linear regression Autoregressive moving average (ARMA) Autoregressive integrated moving average (ARIMA) Econometrics Answer option B is incorrect. The time series method relies on the earned value, moving average, extrapolation, and growth curve. Answer option A is incorrect. The judgmental methods use intuition, the Delphi method, and forecast by analogy. Answer option C is incorrect. The ensemble forecasting is not part of the causal/econometric method for forecasting.