File Info
| Exam | IBM Big Data and Analytics Sales Mastery v2 |
| Number | M2090-743 |
| File Name | IBM.M2090-743.TestKing.2019-03-09.7q.vcex |
| Size | 8 KB |
| Posted | Mar 09, 2019 |
| Download | IBM.M2090-743.TestKing.2019-03-09.7q.vcex |
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Demo Questions
Question 1
What is the problem BigInsights solves for our customer?
- Our customers want Hadoop to be able to analyze data in motion.
- Our customers want to manage new data sources in an efficient way. They want to acquire, grow & analyze data in order to stay competitive & grow their business.
- 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.
- 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.
Correct answer: C
Question 2
What are compelling reasons for a business to act on modernization?
- IT has significant staffing levels that attempt to manage data complexity
- Data Warehouse capabilities are not keeping up with business expectations
- Their competitors are leveraging big data
- B and C
Correct answer: C
Question 3
Customer sentiment is typically discovered through analysis of this type of data:
- Structure
- Unstructured
- Spatial
- Semi-structured
Correct answer: D
Question 4
The IBM Watson Foundations are made up of different data zones that match to different data analysis needs.
- True
- False
Correct answer: A
Explanation:
Reference:http://www-01.ibm.com/software/data/bigdata/ Reference:
http://www-01.ibm.com/software/data/bigdata/
Question 5
What do you tell a customer that tells you Data Warehousing is obsolete?
- 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.
- 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.
- 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.
- All of the above.
Correct answer: A
Explanation:
Reference:http://www-01.ibm.com/software/data/infosphere/biginsights/ Reference:
http://www-01.ibm.com/software/data/infosphere/biginsights/
