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NEW QUESTION: 1
カスタマーサポートツールは、保持と分析のために、すべてのメールとチャットの会話をCloud Bigtableに記録します。
最初に保存する前に、個人を特定できる情報または支払いカード情報のこのデータをサニタイズするための推奨されるアプローチは何ですか？
A. Cloud Data Loss Prevention APIを使用してデータの識別を解除します
B. 楕円曲線暗号を使用してすべてのデータを暗号化します
C. 正規表現を使用して、電話番号、メールアドレス、クレジットカード番号を検索および編集します
D. SHA256を使用してすべてのデータをハッシュします
Answer: A
Explanation:
参照：https://cloud.google.com/solutions/pci-dss-compliance-ingcp# using_data_loss_prevention_api_to_sanitize_data
NEW QUESTION: 2
Welche der folgenden Punkte ist für ein Unternehmen am wichtigsten, um sie zu überprüfen, bevor Daten über eine Anwendungsprogrammierschnittstelle (API) an einen externen Geschäftspartner weitergegeben werden?
A. Die Webanwendungsprotokolldateien des Geschäftspartners
B. Die Zugriffsprotokolle des Geschäftspartners für das Rechenzentrum
C. Die Sicherheitspraktiken des Geschäftspartners
D. Die Helpdesk-Incident-Tickets des Geschäftspartners
Answer: A
NEW QUESTION: 3
I- Loan Processing
II- Claims Processing
III- Applicating
IV- Credit and Collection
V- Reconciliations
VI- Account Payments
VIII- Time and Expense Reimbursement
IX- Vendor Payments
X- Payroll
These all are the services included in:
A. Tax-free export zones
B. Back office operations
C. None of these
D. Offshore Operations
Answer: B
NEW QUESTION: 4
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。
質問に答えた後、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。
Azure Machine Learning StudioでいくつかのAIモデルを作成します。
モデルを実稼働環境にデプロイします。
モデルの計算パフォーマンスを監視する必要があります。
解決策：カスタムスコアリングスクリプトを作成します。
これは目標を達成していますか？
A. いいえ
B. はい
Answer: A
Explanation:
Explanation
You need to enable Model data collection.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-enable-data-collection