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NEW QUESTION: 1
You are designing a solution that will ingest data from an Azure loT Edge device, preprocess the data in Azure Machine Learning, and then move the data to Azure HDInsight for further processing.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Export Data
The Export data to Hive option in the Export Data module in Azure Machine Learning Studio. This option is useful when you are working with very large datasets, and want to save your machine learning experiment data to a Hadoop cluster or HDInsight distributed storage.
Box 2: Apache Hive
Apache Hive is a data warehouse system for Apache Hadoop. Hive enables data summarization, querying, and analysis of data. Hive queries are written in HiveQL, which is a query language similar to SQL.
Box 3: Azure Data Lake
Default storage for the HDFS file system of HDInsight clusters can be associated with either an Azure Storage account or an Azure Data Lake Storage.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/export-to-hive-query
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/hdinsight-use-hive
NEW QUESTION: 2
情報リスク管理（IRM）は、リスクを特定して評価し、それを許容可能なレベルに減らし、そのレベルを維持するための適切なメカニズムを実装するプロセスです。リスクにはどのような種類がありますか？
それぞれの正解は完全なソリューションを表します。該当するものをすべて選択してください。
A. 社会的地位
B. 機器の故障
C. 内部および外部の攻撃
D. システムの相互作用
E. 人間の相互作用
F. 物理的な損傷
Answer: A,B,C,E,F
NEW QUESTION: 3
サポートマネージャーは、顧客のチャットセッション中にエージェントにリアルタイムのフィードバックを提供する機能を要求しています。
この要件を満たすためにコンサルタントはどの機能を構成する必要がありますか？
A. ケースフィード
B. 次善のアクション
C. プッシュ通知
D. オムニチャネルスーパーバイザー
Answer: D