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NEW QUESTION: 1
With IP address scanning attack prevention, not only can it be used to prevent the ICMP packet destination address detection, it can also prevent the use of TCP / UDP scanning probe target addresses.
A. FALSE
B. TRUE
Answer: B
NEW QUESTION: 2
Your company built a TensorFlow neutral-network model with a large number of neurons and layers. The model fits well for the training data. However, when tested against new data, it performs poorly.
What method can you employ to address this?
A. Threading
B. Dimensionality Reduction
C. Dropout Methods
D. Serialization
Answer: C
Explanation:
https://medium.com/mlreview/a-simple-deep-learning-model-for-stock-price-prediction-using-tensorflow-30505541d877
NEW QUESTION: 3
Sam is the project manager for his organization. His project is not doing well on project schedule performance, and management wants him to predict how the project schedule and cost will end. Management has asked Sam to report and forecast his project's performance based on the Delphi Method, scenario building, technology forecasting, and to forecast by analogy. What forecasting method is management asking Sam to use?
A. Judgmental methods
B. Earned value management method
C. Time series methods
D. Causal/econometric methods
Answer: A
Explanation:
Management is asking Sam to use the judgmental methods to predict how the project will finish on time and cost. The judgmental forecasting method incorporates intuitive judgments, opinions and subjective probability estimates. Some examples of judgmental forecasting are as follows: Composite forecasts Surveys Delphi method Scenario building Technology forecasting Forecast by analogy Answer option B is incorrect. Time series methods of forecasting use earned value management, moving average, extrapolation, linear prediction, trend estimation, and growth curve. Answer option D is incorrect. The earned value management method is actually a part of the time series forecasting method. Answer option C is incorrect. The causal/econometric methods use linear and non-linear regression, autoregressive moving average, and econometrics.