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NEW QUESTION: 1
ネットワークアーキテクチャの特性を左から右のアーキテクチャのタイプにドラッグアンドドロップします。
Answer:
Explanation:
NEW QUESTION: 2
When scaling OCPUs in Autonomous Database, which statement is true in regards to active transactions?
A. Active transactions are terminated and rolled back.
B. Active transactions continue running unaffected.
C. Active transactions are paused.
D. Scaling cannot happen while there are active transactions in the database.
Answer: B
Explanation:
Explanation
Oracle allows you to scale compute and storage independently, no need to do it together, these scaling activities fully online (no downtime required)
NEW QUESTION: 3
Windows Server 2012 R2를 실행하는 Server1이라는 서버가 있습니다.
Server1에서 전시회에 표시된대로 컴퓨터 관리를 엽니다. (전시 단추를 클릭하십시오.)
디스크 1에서 3TB 볼륨을 만들수 있는지 확인해야 합니다.
먼저 무엇을 해야 합니까?
A. 디스크를 GPT 디스크로 변환하십시오.
B. 스토리지 풀을 만듭니다.
C. 디스크를 동적 디스크로 변환하십시오.
D. VHD를 생성 한 다음 VHD를 연결하십시오.
Answer: A
NEW QUESTION: 4
Each day, company plans to store hundreds of files in Azure Blob Storage and Azure Data Lake Storage. The company uses the parquet format.
You must develop a pipeline that meets the following requirements:
Process data every six hours
Offer interactive data analysis capabilities
Offer the ability to process data using solid-state drive (SSD) caching Use Directed Acyclic Graph(DAG) processing mechanisms Provide support for REST API calls to monitor processes Provide native support for Python Integrate with Microsoft Power BI You need to select the appropriate data technology to implement the pipeline.
Which data technology should you implement?
A. HDInsight Spark cluster
B. Azure SQL Data Warehouse
C. HDInsight Apache Storm cluster
D. HDInsight Apache Hadoop cluster using MapReduce
E. Azure Stream Analytics
Answer: C
Explanation:
Storm runs topologies instead of the Apache Hadoop MapReduce jobs that you might be familiar with. Storm topologies are composed of multiple components that are arranged in a directed acyclic graph (DAG). Data flows between the components in the graph. Each component consumes one or more data streams, and can optionally emit one or more streams.
Python can be used to develop Storm components.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/storm/apache-storm-overview