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NEW QUESTION: 1
Refer to the scenario.
A university provides liberal arts training to 2,500 students in 68 classrooms and provides a growing suite of IT services that encompass dorm rooms and classrooms. All 2,500 students are provisioned an HP EliteBook Tablet PC to access these services. Students use these tablet PCs for taking notes, handling documents, communicating with each other and with instructors, and participating in distance-education classes.
Additionally, by using their tablet PCs as thin clients, science and engineering students leverage virtual desktop infrastructure (VDI) and HP Remote Graphics Software to access applications that run on high-powered HP blade servers. All 68 classrooms are multi-media equipped, enabling instructors to record lectures for the college s closed circuit TV system.
The university has implemented enterprise content management (ECM) applications, including Microsoft SharePoint for document imaging and workflow for staff and faculty, as well as for external accrediting bodies.
Additionally, a recent initiative to implement voice-over-IP telephone communications on campus has started.
The compute environment is based on VMware vSphere using HP BL460c and BL680c G7 server blades in c7000 enclosures within two data centers.
The university needs to develop computing solutions to address the following problems and current initiatives:
-The current backup-to-tape environment creates downtime for backups of 6 to 12 hours.
-Each incoming class of 600 floods the registration system within the first hours after it opens. The server and network gridlock caused by this high workload prolongs the registration process by as much as one hour per student.
-Proof of concept is necessary for distance education involving large volumes of video and major bandwidth requirements.
-Top tier data must be replicated between two data centers over a 10 Gbps network Disaster recovery has a recovery time objective (RTO) of 120 minutes and network utilization should be minimized.
-Seven TB of first tier data needs to be migrated from the current fibre channel storage solution to nearline storage.
-Second tier data requires deployment of a separate storage solution.
The university's top four IT improvements goals are as follows:
-Provide a robust replication capability between data centers.
-Reduce server downtime with faster backups.
-Retain more backup data in smaller disk space.
-Increase efficiency, reliability, and ease of system administration.
Moreover the college's top three business benefit goals are as follows: -Reduce student registration time.
-Increase number of servers while minimizing the need for additional staff to support them.
-Utilize IT resources and staff as efficiently as possible.
The company has asked that you create multiple solution proposals and prioritize one when you return for a presentation.
What is required to license the top tier storage system in order to achieve the desired RTO?
A. HP 3PAR Online Import
B. HP 3PAR Cluster Extension
C. HP 3PAR Adaptive Optimization
D. HP 3PAR Remote Copy
Answer: D
NEW QUESTION: 2
Review the following diagram:
If the WithinLimit SmartShape references a Fork, which type of connector is OverLimit?
A. Always
B. Flow Action
C. Status
D. When
Answer: D
NEW QUESTION: 3
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