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NEW QUESTION: 1
A network technician is configuring clients for VLAN access. The network address for the sales department is 192.168.0.64 with a broadcast address of 192.168.0.71. Which of the following IP address/subnet mask combinations could be used to correctly configure a client machine in the sales department?
A. 192.168.0.64/29
B. 192.168.0.67/29
C. 192.168.0.70/28
D. 192.168.0.66/27
Answer: A

NEW QUESTION: 2
(NTO) wants to use complex criteria to identify subscribers for a special promotional email. Especially they want to target subscribers who opened or engaged with an email within the last 30 days and live within 10 miles of an NTO store.
What should NTO do to create this audience?
A. Data Filters
B. SQL Queries
C. Measures
D. Journey
Answer: C

NEW QUESTION: 3
旅行ウェブサイトは、マーケティング目的でウェブサイト訪問者に毎日の予約のグラフィカルな定量的要約を提示する必要があります。 Webサイトには1日あたり数百万人の訪問者がいますが、この視覚化のために最も安価なソリューションを実装することでコストを制御したいと考えています。最も費用対効果の高いソリューションは何ですか？
A. 一時的なEMRクラスターに支えられたMicroStrategyを使用してグラフを生成します
B. 長時間実行されるEMRクラスターで実行されるZeppelinアプリケーションを実装します
C. タスクノードのスポットインスタンスを活用する継続的に実行されるEMRクラスターによって提供されるJupyterフロントエンドを実装します
D. 一時的なEMRクラスターで毎日静的グラフを生成します。 Amazon S3に保存します
Answer: D

NEW QUESTION: 4
Azure Machine Learning SDKを使用して、分類モデルをトレーニングし、その精度メトリックを計算するトレーニング実験を実行します。
新しいデータが利用可能になると、モデルは毎月再トレーニングされます。
バッチ推論パイプラインで使用するモデルを登録する必要があります。
モデルを登録し、その後の再トレーニング実験で作成されたモデルが、現在登録されているモデルよりも精度が高い場合にのみ登録されるようにする必要があります。
この目標を達成するための2つの可能な方法は何ですか？それぞれの正解は完全な解決策を提示します。
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. モデルを登録するたびに異なる名前を指定してください。
B. モデルを登録するときに、精度メトリックを値として精度という名前のタグを指定し、現在登録されているモデルの精度タグ値よりも精度が高い場合にのみ、後続のモデルを登録します。
C. モデルを登録するときに、精度メトリックを値として精度という名前のプロパティを指定し、現在登録されているモデルの精度プロパティ値よりも精度が高い場合にのみ、後続のモデルを登録します。
D. モデル登録時にモデルフレームワークのバージョンを指定し、この値が大きい場合にのみ後続のモデルを登録します。
E. 精度に関係なく、毎回同じ名前でモデルを登録し、バッチ推論パイプラインでは常に最新バージョンのモデルを使用します。
Answer: B,D
Explanation:
Explanation
E: Using tags, you can track useful information such as the name and version of the machine learning library used to train the model. Note that tags must be alphanumeric.
Reference:
https://notebooks.azure.com/xavierheriat/projects/azureml-getting-started/html/how-to-use-azureml/deployment/