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NEW QUESTION: 1
Which Check Point software blade provides protection from zero-day and undiscovered threats?
A. Threat Emulation
B. Application Control
C. Threat Extraction
D. Firewall
Answer: C
Explanation:
SandBlast Threat Emulation
As part of the Next Generation Threat Extraction software bundle (NGTX), the SandBlast Threat Emulation capability prevents infections from undiscovered exploits zero-day and targeted attacks. This innovative solution quickly inspects files and runs them in a virtual sandbox to discover malicious behavior. Discovered malware is prevented from entering the network.
NEW QUESTION: 2
受注原価見積で計算された原価構成分割を収益性分析に転送するには、どの関数を使用しますか？
A. 計画原価見積
B. 単位原価見積
C. 製品原価見積
D. 加算コスト推定
Answer: C
NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are a data scientist using Azure Machine Learning Studio.
You need to normalize values to produce an output column into bins to predict a target column.
Solution: Apply a Quantiles binning mode with a PQuantile normalization.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Use the Entropy MDL binning mode which has a target column.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/group-data-into-bins