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NO.1 Company A has decided to implement a new data system to support their rapidly growing
business. They have an existing 20 TB worth of raw data, with an expected weekly incoming rate of
50 GB of new raw data. The data is mostly text based and unstructured. A typical query can involve
pulling in 10 GB of data. Historically, performance has been an issue and currently needs to be
addressed. Which of the following would you suggest to support these requirements?
A. Utilize de-duplication and compression technology
B. Create range partitions for the data
C. Set up a Hadoop system with commodity HW for scalability
D. Use a mixture of different disk-types to provide hot/cold storage
Answer: C
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NO.2 A telecommunication company needs a Big Data solution that could store and analyze multiple
years worth of call detail records (CDRs, aprox. 17 billion events per day) containing switch, billing,
and network event data for its millions of subscribers. Which of the following would you recommend
for these requirements?
A. Pure Data System for Analytics
B. SPSS
C. Infosphere DataStage
D. DB2
Answer: A
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