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 financial company stores all enterprise data for five years in their Teradata data warehouse that costs them
expensive storage. The company started an initiative to move historical data to a Hadoop environment and
uses federation method to access both sets of data. What would be the IBM Big Data value proposition for this
use case?

Which one of the following statements about Big SQL is NOT TRUE?

SPSS and BigInsights integration is enabled by which of the following?

Which of the following statements is TRUE regarding cloud based solutions?

Which of the following is true about Cloudant?

As data architect, understanding where patient data resides, how is it related, and how you define security and
privacy policies requires knowledge of each of the following?

As an Independent Software Vendor (ISV), you are tasked with creating a solution to harness the big data to
better understand customer sentiments around your client’s product. In order to develop a solution, you want to
select the software components that are going to provide the most compatibility with new open source
components. In addition to Hadoop and any other software components you may need, which one of the
following would you select that is part of the initial release of the Open Data Platform (ODP)?

Which of the following is NOT a valid Service Level Agreement (SLA) metric?

A large Retailer (online and “brick & mortar”) processes data for analyzing marketing campaigns for their
loyalty club members. The current process takes weeks for processing only 10% of social data. What is the
most cost-effective platform for processing and analyzing campaign results from social data on a daily basis
using 100% dataset?