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NEW QUESTION: 1
あなたの顧客は、eコマースサイトで使用されるWebサービスを実行して、製品の推奨をユーザーに提供します。 結果の質を向上させるために、Google Cloud Platform上で機械学習モデルを試し始めました。
モデルの結果を長期にわたって改善するために、顧客は何をすべきですか？
A. Cloud Machine Learning EngineのパフォーマンスメトリクスをStackdriverからBigQueryにエクスポートして、モデルの効率を分析するために使用します。
B. 新しいCPUアーキテクチャの可用性についてCompute Engineの発表を監視し、パフォーマンスが向上するようになったらすぐにモデルをそれらにデプロイします。
C. 機械学習モデルのトレーニングをCloud GPUからCloud TPUに移行するためのロードマップを作成します。これにより、より良い結果が得られます。
D. トレーニングデータとして使用するために、BigQueryに推奨の履歴と推奨の結果を保存します。
Answer: D
Explanation:
BigQuery need data to be applied in AI.

NEW QUESTION: 2
注：この質問は、同じシナリオを提示する一連の質問の一部です。 シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。 一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このセクションの質問に回答すると、その質問に戻ることはできません。 その結果、これらの質問はレビュー画面に表示されません。
contoso.comという名前のAzure Active Directory（Azure AZD）テナントがあります。 テナントには、Group1という名前のグループが含まれます。 Group1には、すべての管理ユーザーアカウントが含まれます。
管理ユーザーが働いていない国から、Azureポータルへのログイン試行を何度か発見しました。
これらの国からAzureポータルへのすべてのログイン試行には、Azure Multi-Factor Authentication（MFA）が必要であることを確認する必要があります。
ソリューション：Azure AD特権ID管理を実装します。
このソリューションは目標を達成していますか？
A. Yes
B. No
Answer: A

NEW QUESTION: 3

A. Option B
B. Option D
C. Option E
D. Option A
E. Option C
Answer: A,B,E
Explanation:
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