What CO used be used as business value entry points when developing an Acquire. Grow. Retain customer solution? A. Personalization,profitability B. Harness and analyze all data, govern and protect ad data C. Business process operations, infrastructure, and asset efficiency D.…
A company quickly ingests, analyzes, and correlates data as it arrives from thousands of sensor devices spread throughout their utility network. Insights derived from this process are turned into actions for automated decision management. The company is performing analytics on…
Which statement best defines the Create New Business Models business imperative? A. Lead the creation of new value and agility for the business using Big Data & Analytics while reducing cost. B. Explore strategic options for business growth using new…
Data can come from a large number and variety of source systems. Based upon the IBM Big Data & Analytics Reference Architecture which two statement are true when considering analytics on these data sources? A. Data federation has the best…
The Fair Information Practice Principles methodology recommends using personal information only for the purposes that are specified when collecting that information. What aspect of security is required to support this principle? A. Database activity monitoring B. Encryption scrambles sensitive data…
A police department needs to identify crime patterns by time and location so that the department is able to pinpoint hot spots of activity and better deploy police resources to deter crime Which strategy can this police department use? A.…
Which statement is true when dealing with traditional and non-traditional data sources? A. Real time analytics is necessary to effectively leverage these data sources B. Traditional data sources are not included in the big data scope because it would require…
What is a use case example for the Transform Financial Processes business imperative? A. Portfolio optimization in the banking industry. B. Customer data monetizationin the media and entertainment industry C. Distributionload forecasting and scheduling in the energy andutilityindustry D. Utilizing…
What are the stages to the IBM Big Data & Analytics Maturity Model? A. Novice, Builder. Leader, Master B. Initial, Repeatable, Defined, Managed, Optimizing C. Ad Hoc, Foundational, Competitive, Differentiating. Breakaway D. Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics
Deploying Big Data & Analytics solutions on a cloud platform requires several architectural decisions in order to achieve optimal design. Which statement is true? A. Analytic components generally run faster on physical hardware versus virtualized. B. Off premise cloud implementation…