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NEW QUESTION: 1
What statement about this output is true?
A. The adjacent router is the egress LSR and has mpls Idp explicit-null configured.
B. The zero in the second column is the normal behavior of an egress router LSR.
C. The adjacent LSR sent an implicit null, and the output is from the penultimate LSR.
D. The adjacent LSR router configured mpls label range 0.
Answer: C
NEW QUESTION: 2
音声認識の深層学習モデルを作成する予定です。
モデルはPythonの最新バージョンをサポートする必要があります。
Data Science Virtual Machine(DSVM)に含めるには、音声認識のディープラーニングフレームワークを推奨する必要があります。
何をお勧めしますか?
A. Apache Drill
B. Tensorflow
C. Rattle
D. Weka
Answer: B
Explanation:
説明
TensorFlowは、数値計算と大規模機械学習のためのオープンソースライブラリです。 Pythonを使用して、TensorFlowが手書き数字分類、画像認識、単語埋め込み、リカレントニューラルネットワーク、機械翻訳用のシーケンスからモデルへのディープニューラルネットワークをトレーニングおよび実行できるフレームワークでアプリケーションを構築するための便利なフロントエンドAPIを提供します。自然言語処理、およびPDE(偏微分方程式)ベースのシミュレーション。
参照:
https://www.infoworld.com/article/3278008/what-is-tensorflow-the-machine-learning-library-explained.html
NEW QUESTION: 3
セールスマネージャーは、昨年にクローズ/ウォンの機会がないアカウントのレポートを求めています。この要件はどのように満たすことができますか?
A. アカウントレポートタイプを使用して表形式のレポートを作成し、商談を使用してクロスフィルターを追加します。
B. 商談数の数式フィールドを持つアカウントレポートタイプを使用して、概要レポートを作成します。
C. 商談のないアカウントの顧客レポートタイプを作成します。
D. アカウントレポートタイプと商談レポートタイプを使用して結合レポートを作成します。
Answer: A