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NEW QUESTION: 1
生体認証を扱うとき、次のどれがリプレイ攻撃の一般的指標ですか。
A. 他人受入率（FAR）は100,000で1より大きいです。
B. 完全に一致します。
C. 本人拒否率（FRR）は100で5より大きいです。
D. 不適切な指定テンプレート
Answer: B

NEW QUESTION: 2
中西部の最適化は、次の3日間は毎晩自動的に実行されるように設定されています。ディスパッチャは、オプティマイザが多くのサービスの予定を予定外に残していることに気づき、コンサルタントに問題のトラブルシューティングを依頼しました。
コンサルタントは、フィールドサービス設定でサービスアポイントメントごとの最適化サービスの実行時間が低く設定されていることに気づきました。
コンサルタントがオプティマイザーの設定も検討する必要がある2つの条件はどれですか？
高い？
2つの答えを選択してください
A. サービスリソース可用性作業ルールの[移動と休憩の計算]フィールドサービス設定が無効になっています。
B. スケジューリングポリシーにより、各サービスの予定に適格な候補者が多すぎます
C. スケジューリングポリシーの使用フィールドが空白です
D. ほとんどのサービス予約の優先度は同じです
Answer: B,D

NEW QUESTION: 3
DRAG DROP
Click and drag each Power Supply Unit (PSU) on the left to the feature that it supports on the right. Note that PSUs may match more than one feature.

Answer:
Explanation:

NEW QUESTION: 4
You develop and train a machine learning model to predict fraudulent transactions for a hotel booking website.
Traffic to the site varies considerably. The site experiences heavy traffic on Monday and Friday and much lower traffic on other days. Holidays are also high web traffic days. You need to deploy the model as an Azure Machine Learning real-time web service endpoint on compute that can dynamically scale up and down to support demand. Which deployment compute option should you use?
A. attached Azure Databricks cluster
B. Azure Container Instance (ACI)
C. Azure Kubernetes Service (AKS) inference cluster
D. Azure Machine Learning Compute Instance
E. attached virtual machine in a different region
Answer: D
Explanation:
Explanation
Azure Machine Learning compute cluster is a managed-compute infrastructure that allows you to easily create a single or multi-node compute. The compute is created within your workspace region as a resource that can be shared with other users in your workspace. The compute scales up automatically when a job is submitted, and can be put in an Azure Virtual Network.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-compute-sdk