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NEW QUESTION: 1
Fusioninsight HD Loader ift row data import and export must be processed in the Reduce stage.
A. True
B. False
Answer: B

NEW QUESTION: 2
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.
You are proposing two HP StoreVirtual 4530 arrays for the secondary storage. Which feature of HP LeftHand OS meets the IT improvement goals? (Select two.)
A. Network RAID
B. Volume Resynchronization
C. Port Persistence
D. Peer Motion
E. Thin Provisioning
Answer: D,E

NEW QUESTION: 3
会社は、数ペタバイトのデータセットをクラウドに移行することを計画しています。データセットは24時間利用可能でなければなりません。ビジネスアナリストは、SQLインターフェイスを使用した経験しかありません。分析を容易にするために、データをどのように保存して最適化する必要がありますか？
A. データをGoogle Cloud SQLに挿入します。
B. データをGoogle Cloud Datastoreにストリーミングします。
C. データをGoogle BigQueryにロードします。
D. フラットファイルをGoogle Cloud Storageに配置します。
Answer: C
Explanation:
Explanation
Google Big Query is for multi peta byte storage , HA(High availability) which means 24 hours, SQL interface
.
https://medium.com/google-cloud/the-12-components-of-google-bigquery-c2b49829a7c7
https://cloud.google.com/solutions/bigquery-data-warehouse
https://cloud.google.com/bigquery/
BigQuery is Google's serverless, highly scalable, low cost enterprise data warehouse designed to make all your data analysts productive. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL and you don't need a database administrator.
BigQuery enables you to analyze all your data by creating a logical data warehouse over managed, columnar storage as well as data from object storage, and spreadsheets.
References: https://cloud.google.com/bigquery/