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NEW QUESTION: 1
You are trying to qualify a customer for an HPE SimpliVity solution. Which customer characteristics indicate a consolidation use case?
A. The customer has a partially virtualized environment but wants to add virtualized machines (VMs) and improve application performance.
B. The customer is looking for a way to reduce the time it takes to provision and manage employees' desktops.
C. The customer wants to conserve storage space and find an affordable solution to compress data being sent over the WAN to reduce latency.
D. The customer needs a storage solution that includes backup and replication capabilities.
Answer: C
NEW QUESTION: 2
A. Option F
B. Option E
C. Option B
D. Option C
E. Option A
F. Option D
Answer: C,E
NEW QUESTION: 3
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. Azure Stream Analytics
B. HDInsight Spark cluster
C. HDInsight Apache Hadoop cluster using MapReduce
D. HDInsight Apache Storm cluster
E. Azure SQL Data Warehouse
Answer: D
Explanation:
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