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NEW QUESTION: 1
Which of the following most accurately describes the messages used to manage a Diameter connection path?
A. The Device-Watchdog message
B. The Credit-Control message
C. The Capabilities-Exchange message
D. The Disconnect-Peer message
E. Only answers A, B and D are correct
F. All of the above answers are correct
Answer: E
NEW QUESTION: 2
IoTデバイスを使用して会議参加者からデータを収集し、後でデータを分析するAIソリューションを設計しています。 IoTデバイスはAzure IoTハブに接続します。
データをIoTハブに送信する前に、データを匿名化するソリューションを設計する必要があります。
順番に実行する必要がある3つのアクションはどれですか?回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation
Step 1: Create a storage container
ASA Edge jobs run in containers deployed to Azure IoT Edge devices.
Step 2: Create an Azure Stream Analytics Edge Job
Azure Stream Analytics (ASA) on IoT Edge empowers developers to deploy near-real-time analytical intelligence closer to IoT devices so that they can unlock the full value of device-generated data.
Scenario overview:
Step 3: Add the job to the IoT devices in IoT
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge
NEW QUESTION: 3
한 회사가 센서 데이터 수집 파이프 라인을 구축하고 있습니다. 센서는 매분마다 Amazon Simple Queue Service (Amazon SQS) 대기열에 데이터를 기록합니다. 대기열은 센서 데이터에서 표준 지표 세트를 추출하는 AWS Lambda 함수에 의해 처리됩니다. 회사는 Amazon CloudWatch로 데이터를 전송하려고 합니다. 솔루션은 개별 및 집계 센서 지표를보고 CloudWatch Logs Insights를 사용하여 센서 로그 데이터를 대화식으로 쿼리 할 수 있어야 합니다. 이러한 요구 사항을 충족하는 가장 비용 효율적인 솔루션은 무엇입니까?
A. 처리 된 데이터를 CloudWatch 내장 지표 형식으로 CloudWatch Logs에 기록
B. 처리 된 데이터를 구조화 된 형식으로 CloudWatch Logs에 씁니다. CloudWatch 지표 필터를 생성하여 로그를 구문 분석하고 센서를 고유하게 식별하는 차원과 함께 지표를 CloudWatch에 게시합니다.
C. AWS Lambda 용 CloudWatch Logs 에이전트 구성 센서를 고유하게 식별하는 태그를 사용하여 statsd 형식으로 각 센서의 지표를 출력합니다. 처리 된 데이터를 CloudWatch Logs에 기록합니다.
D. 처리 된 데이터를 CloudWatch Logs에 쓴 다음 PutMetricData API 호출을 사용하여 CloudWatch에 데이터를 씁니다.
Answer: B