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NEW QUESTION: 1
Kundenaufträge verbrauchen in der Materialplanung unabhängige Bedarfe. Der Verbrauchsmodus und die Verbrauchszeiträume können wie folgt eingestellt werden?
Es gibt 2 richtige Antworten auf diese Frage.
A. Materialstamm
B. Dispositionsgruppe
C. Produktgruppe
D. Lieferantenstamm
Answer: A,B

NEW QUESTION: 2
You are deploying an application on EC2 that must call AWS APIs. What method of securely passing credentials to the application should you use?
A. Store API credentials as an object in Amazon Simple Storage Service.
B. Pass API credentials to the instance using instance userdata.
C. Embed the API credentials into your JAR files.
D. Use AWS Identity and Access Management roles for EC2 instances.
Answer: D
Explanation:
Explanation/Reference:
Explanation: SIMULADO PAGO

NEW QUESTION: 3
loTデバイスからのデータを使用するAl実装のソリューションを設計する予定です。
次の要件を満たすloTデバイス用のデータストレージソリューションを推奨する必要があります。
*データがソリューションにストリーミングされるときに、リアルタイムでデータを照会できます。
*データをソリューションにロードする際の遅延を最小限に抑えます。
推奨事項に何を含めるべきですか？
A. Microsoft Azure HDInsight Hadoopクラスター
B. Microsoft Azure HDInsight Rサーバークラスター
C. インメモリOLTPが有効になっているMicrosoft Azure SQLデータベース
D. Microsoft Azureテーブルストレージソリューション
Answer: A
Explanation:
Explanation
You can use HDInsight to process streaming data that's received in real time from a variety of devices.
Internet of Things (IoT)
You can use HDInsight to build applications that extract critical insights from data. You can also use Azure Machine Learning on top of that to predict future trends for your business.
By combining enterprise-scale R analytics software with the power of Apache Hadoop and Apache Spark, Microsoft R Server for HDInsight gives you the scale and performance you need. Multi-threaded math libraries and transparent parallelization in R Server handle up to 1000x more data and up to 50x faster speeds than open-source R, which helps you to train more accurate models for better predictions.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-introduction