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Fortinet NSE 7 - Zero Trust Access 7.2

  • Exam Number/Code : NSE7_ZTA-7.2
  • Exam Name : Fortinet NSE 7 - Zero Trust Access 7.2
  • Questions and Answers : 213 Q&As
  • Update Time: 2019-01-10
  • Price: $ 99.00 $ 39.00

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NEW QUESTION: 1
A manufacturer creates designs for very high security products that are required to be protected and controlled by the government regulations. These designs are not accessible by corporate networks or the Internet. Which of the following is the BEST solution to protect these designs?
A. A demilitarized zone
B. A Faraday cage
C. A shielded cable
D. An air gap
Answer: D

NEW QUESTION: 2
The Brewer-Nash security model is also known as which of the following?
Response:
A. Preventive measures
B. RBAC
C. MAC
D. The Chinese Wall model
Answer: D

NEW QUESTION: 3
Azure Machine Learningのハイパードライブ機能を使用して、モデルをトレーニングするときに最適なハイパーパラメーター値を決定することを計画しています。
次のハイパーパラメータ値の組み合わせを試すには、ハイパードライブを使用する必要があります。
* Learning_rate:0.001〜0.1の任意の値
* batch_size:16、32、または64
Hyperdrive実験の検索スペースを構成する必要があります。
どの2つのパラメータ式を使用する必要がありますか?それぞれの正解は、解決策の一部を示しています。
注:正しい選択はそれぞれ1ポイントの価値があります。
A. batch_sizeの通常の式
B. batch_sizeの選択式
C. learning_rateの統一式
D. learning_rateの選択式
E. batch_sizeの統一式
Answer: B,C
Explanation:
Explanation
B: Continuous hyperparameters are specified as a distribution over a continuous range of values. Supported distributions include:
* uniform(low, high) - Returns a value uniformly distributed between low and high D: Discrete hyperparameters are specified as a choice among discrete values. choice can be:
* one or more comma-separated values
* a range object
* any arbitrary list object
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters