IBM Foundations of IBM Big Data & Analytics Architecture V1

1.

The annotators perform which tasks in this information flow diagram for the search and analytics process?

They work with custom dictionaries, rules, and annotators. They create searchable indexes/collections with annotations. They identify and mark concepts relevant for the organization. They collect documents specialized for types of data sources

2.

Which statement is true about governance of big data?

The big data domain is mostly limited to analyzing content generated outside the enterprise so strict governance is not critical.B Big data is all about exploration and discovery done intest and sandbox systems whichdo not need to be methodically governed. Information integration is needed to correlate new unstructured data withexisting data sources which are already strictly governed. Information integration, data lineage, security, privacy, and master data management are key to long term success of big data analytics.

3.

What is required of an integration tool to make it effective in a Big Data & Analytics environment?

Data transformations are performed in a specialized tool and dedicated environment. Data transformations are performed in the source system to free the target system for analytics. Data transformations are performed in parallel with the ability to push processing to the storage engines. Data transformations are performed in the target system to free the source system for transactional processing.

4.

Which in-memory database design point helps use main memory more efficiently?

Single Instruction Multiple Data processing. Automatic and always-on data compression. Processing data using multiple processor cores. Organizing data according to columns rather than rows.

5.

A Solution Advisor reviews the IBM Big Data & Analytics Maturity Model with a customer and concludes that their information architecture framework exists but does not extend to new data sources or advanced analytics capabilities. Which stage of maturity are they in with the Architecture category?

Ad Hoc Competitive Foundational Differentiating

6.

What is the primary benefit of an in-database analytics solution?

Preparing data for analysis Loading data into the analytic environment Reducing the elapsed time between query and result Moving data from the analytic engine to the reporting engine

7.

IBM InfoSphere Biglnsights is an example of what type of system architecture?

SMP NUMA High performance computing Distributed computing with shared nothing architecture

8.

Which IBM storage solution provides capabilities for improving data economics in an analytics environment based on these criteria?

IBMFlashSystem IBMStorwizeV7000 IBM XIV Storage System IBM SAN Volume Controller

9.

What is a use case example for the Transform Financial Processes business imperative?

Portfolio optimization in the banking industry. Customer data monetizationin the media and entertainment industry Distributionload forecasting and scheduling in the energy andutilityindustry Utilizing telematics to price risk and monitorexposurein the insurance industry.

10.

Which statement is true when dealing with traditional and non-traditional data sources?

Real time analytics is necessary to effectively leverage these data sources Traditional data sources are not included in the big data scope because it would require duplicate copies of the same data Big data tools and methodologies increase the scope, level of detail, or a time period of data that can be effectively analyzed. Traditional data sources are included in the big data scopeonly if they are correlated with new types of data collected from outside the enterprise

IBM Foundations of IBM Big Data & Analytics Architecture V1

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