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NEW QUESTION: 1
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。
ストリーミングデータを生成するAzure IoT Edgeデバイスがあります。
デバイスでは、Azure Machine Learningモデルを使用してデータの異常を検出する必要があります。異常が検出されたら、デバイスは異常に関する情報をAzure IoT Hubストリームに追加する必要があります。
解決策：Machine LearningモデルをAzure Webサービスとして公開します。
これは目標を達成していますか？
A. いいえ
B. はい
Answer: A
Explanation:
Instead use Azure Stream Analytics and REST API.
Note. Available in both the cloud and Azure IoT Edge, Azure Stream Analytics offers built-in machine learning based anomaly detection capabilities that can be used to monitor the two most commonly occurring anomalies:
temporary and persistent.
Stream Analytics supports user-defined functions, via REST API, that call out to Azure Machine Learning endpoints.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-anomaly-detection

NEW QUESTION: 2
Which protocol is supported when OSPFv2 is used as the routing protocol?
A. IPv4
B. NetBios
C. LAT
D. IPv6
Answer: A
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 3
What is the minimum seek time required to pass the benchmark test of a single-node, 3.3 TB EMC Avamar?
A. 325 seeks/sec
B. 550 seeks/sec
C. 500 seeks/sec
D. 450 seeks/sec
Answer: A