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Question 1:

If a prospect states that in general the Data Warehouse Era is over, what would be a good reply?

A. Yes, most Data Warehouses are obsolete.

B. Yes, but we have enterprise ready Hadoop.

C. No, newer technologies are improving current Data Warehouses performance and functionality.

D. No, Hadoop is not a proven technology and could easily fail to meet expectations.

Correct Answer: B

Question 2:

Which of the following is probably not a good candidate for Operations Analysis? Someone who is:

A. Having difficulty dealing with large volumes of machine data

B. Unable to perform complex real-time analysis

C. Looking to extend the data warehouse

D. Unable to perform root cause analysis

Correct Answer: C

Question 3:

Who are key stakeholders in the Data Warehouse Modernization conversation?

A. Data Scientists and Data professionals

B. IT Managers

C. C-level Executives

D. All of the above

Correct Answer: D

Question 4:

What do you tell a customer who tells you, “Big Data equals Hadoop.”

A. Yes, it does.

B. Hadoop is just one technology we will use to get actionable insight from all types of data.

C. But Hadoop does not work with social data.

D. All of the above.

Correct Answer: B

Question 5:

What do you tell a customer that tells you Data Warehousing is obsolete?

A. IBM agrees. Our BigInsights product is based on open source Hadoop which we have transformed into an Enterprise ready platform. We have layered this with security, governance and analytics.

B. All of the analysts are saying the same thing. New technology gives us the ability to finally analyze Big Data, something the Data Warehouse could not do.

C. Our customers have made a lot of investment in data warehousing and this will continue to pay off. We will leverage this infrastructure within our Watson Foundations and will not rip and replace it with something that does not have the performance to analyze unstructured data.

D. All of the above.

Correct Answer: A