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NEW QUESTION: 1
The manager of a call center reports that staffing the center is difficult because the number of calls is unpredictable.
You have historical data that contains information about the calls.
You need to build an Azure Machine Learning experiment to predict the number of total calls each hour.
Which model should you use?
A. Decision Forest Regression
B. Multiclass Logistic Regression
C. Boosted Decision Tree Regression
D. Poisson Regression
Answer: D
Explanation:
Explanation/Reference:
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.
Incorrect Answers:
A: Logistic regression is a well-known method in statistics that is used to predict the probability of an outcome, and is particularly popular for classification tasks. The algorithm predicts the probability of occurrence of an event by fitting data to a logistic function.
B: Boosting means that each tree is dependent on prior trees. The algorithm learns by fitting the residual of the trees that preceded it. Thus, boosting in a decision tree ensemble tends to improve accuracy with some small risk of less coverage.
C: Decision trees are non-parametric models that perform a sequence of simple tests for each instance, traversing a binary tree data structure until a leaf node (decision) is reached.
References: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/poisson- regression
NEW QUESTION: 2
展示を参照してください。
OPSFデバッグ出力について正しい説明はどれですか。
A. 出力には、ルーターR1が送信または受信したOSPF helloおよびLSACKメッセージが表示されます。
B. 出力には、ルーターR1が送信したすべてのOSPFメッセージがインターフェースFa0 / 1で受信されて表示されます。
C. 出力には、ルーターR1がインターフェイスFa0 / 1で受信したOSPF helloメッセージが表示されます。
D. 出力には、ルーターR1がすべてのインターフェースで送信または受信したすべてのOSPFメッセージが表示されます。
Answer: C
Explanation:
Explanation
This combination of commands is known as "Conditional debug" and will filter the debug output based on your conditions. Each condition added, will behave like an 'And' operator in Boolean logic. Some examples of the "debug ip ospf hello" are shown below:
NEW QUESTION: 3
You have been tasked with designing a security plan for your company. Drag and drop the appropriate security controls on the floor plan.
Instructions: All objects must be used and all place holders must be filled. Order does not matter. When you have completed the simulation, please select the Done button to submit.
Answer:
Explanation:
Explanation
Cable locks - Adding a cable lock between a laptop and a desk prevents someone from picking it up and walking away Proximity badge + reader Safe is a hardware/physical security measure Mantrap can be used to control access to sensitive areas. CCTV can be used as video surveillance.
Biometric reader can be used to control and prevent unauthorized access. Locking cabinets can be used to protect backup media, documentation and other physical artifacts.
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