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NEW QUESTION: 1
An 18-month-old child has been playing in the garage. His mother brings him to a nurse's home complaining of his mouth being sore. His lips and mouth are soapy and white, with small ulcerated areas beginning to form. The child begins to vomit. His pulse is rapid and weak. The nurse suspects that the child has:
A. Inhaled gasoline fumes
B. Eaten construction chalk
C. Lead poisoning
D. Ingested a caustic alkali
Answer: D
Explanation:
(A, C, D) These agents would not cause ulcerations on mouthand lips. (B) Strong alkali or acids will cause burns and ulcerationson the mucous membranes.
NEW QUESTION: 2
Sie haben eine Active Directory-Domäne, die mehrere Hyper-V-Hosts enthält, auf denen Windows Server 2016 ausgeführt wird.
Sie möchten die Netzwerkvirtualisierung bereitstellen und die Richtlinien der Datacenter Firewall zentral verwalten.
Welche Komponente müssen Sie für die geplante Bereitstellung installieren?
A. Der Routing-Rollendienst
B. Die Canary Network Diagnostics-Funktion
C. die Data Center Bridging-Funktion
D. Die Network Controller-Serverrolle
Answer: D
Explanation:
https://technet.microsoft.com/en-us/library/mt403307(v=ws.11).aspx#bkmk_slb
NEW QUESTION: 3
You are building a regression model tot estimating the number of calls during an event.
You need to determine whether the feature values achieve the conditions to build a Poisson regression model.
Which two conditions must the feature set contain? I ach correct answer presents part of the solution. NOTE:
Each correct selection is worth one point.
A. The label data must be a negative value.
B. The label data can be positive or negative,
C. The label data must be non discrete.
D. The label data must be a positive value
E. The data must be whole numbers.
Answer: D,E
Explanation:
Explanation
Poisson regression is intended for use in regression models that are used to predict numeric values, typically counts. Therefore, you should use this module to create your regression model only if the values you are trying to predict fit the following conditions:
* The response variable has a Poisson distribution.
* Counts cannot be negative. The method will fail outright if you attempt to use it with negative labels.
* A Poisson distribution is a discrete distribution; therefore, it is not meaningful to use this method with non-whole numbers.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/poisson-regression