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NEW QUESTION: 1
What mechanism does a system use to compare the security labels of a subject and an object?
A. Validation Module.
B. Security Module.
C. Reference Monitor.
D. Clearance Check.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
The reference monitor is an abstract machine that mediates all access subjects have to objects, both to ensure that the subjects have the necessary access rights and to protect the objects from unauthorized access and destructive modification. For a system to achieve a higher level of trust, it must require subjects (programs, users, processes) to be fully authorized prior to accessing an object (file, program, resource). A subject must not be allowed to use a requested resource until the subject has proven it has been granted access privileges to use the requested object. The reference monitor is an access control concept, not an actual physical component, which is why it is normally referred to as the "reference monitor concept" or an "abstract machine."
Incorrect Answers:
A: A Validation Module is not what the system uses to compare the security labels of a subject and an object.
C: A Clearance Check is not what the system uses to compare the security labels of a subject and an object.
D: A Security Module is not what the system uses to compare the security labels of a subject and an object.
References:
Harris, Shon, All In One CISSP Exam Guide, 6th Edition, McGraw-Hill, New York, 2013, p. 362

NEW QUESTION: 2
The fund available to a organization to invert in project is called:
A. Working capital
B. Present value (PV)
C. Variable costs
D. Direct costs
Answer: A
Explanation:
Working capital is total assets less total liabilities.

NEW QUESTION: 3
Azure Machine Learningワークスペースを作成し、開発環境をセットアップします。 Tensorflowフレームワークを使用し、推定器を使用してトレーニングスクリプトを送信することにより、ディープニューラルネットワーク(DNN)をトレーニングする予定です。
トレーニング実行の計算速度を最適化する必要があります。
使用する適切な推定量と、適切なトレーニングコンピューティングターゲット構成を選択する必要があります。
どの値を使用する必要がありますか?回答するには、回答領域で適切なオプションを選択します。
注:それぞれの正しい選択は1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: Tensorflow
TensorFlow represents an estimator for training in TensorFlow experiments.
Box 2: 12 vCPU, 112 GB memory..,2 GPU,..
Use GPUs for the deep neural network.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-core/azureml.train.dnn

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