M2090-743 Online Practice Questions and Answers

What is the problem BigInsights solves for our customer?

A. Our customers want Hadoop to be able to analyze data in motion.

B. Our customers want to manage new data sources in an efficient way. They want to acquire, grow and analyze data in order to stay competitive and grow their business.

C. Our customers want to explore data, extract, load, and transform the data into trusted information then move into a PureData for Analytics environment for analysis.

D. Our customers want to have a single view of the customer and maintain the 'golden' record of enterprise information that will be 'pushed' to every application that needs that information.

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

Customer sentiment is typically discovered through analysis of this type of data: A. Structure

B. Unstructured

C. Spatial

D. Semi-structured

The IBM Watson Foundations are made up of different data zones that match to different data analysis needs.

A. True

B. False

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.

What do you tell a customer that tells you Data Warehousing is obsolete?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

Which of the following describes machine data?

A. It comes in large volumes

B. It may be time-sensitive

C. It can be combined with enterprise data

D. All of the above

What is InfoSphere Streams?

A. In memory database for optimized queries and fast results

B. Business Intelligence (BI) tool built on rules designed for speed

C. In memory processing of all data for fast analytics

D. Big data solution specifically for fast analysis of social data