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IBM 000-N32 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: IBM Big Data Portfolio & Solutions | 15% | - Overview of IBM Big Data offerings - Integration and deployment scenarios - Comparison with competing solutions |
| Topic 2: IBM InfoSphere Streams | 20% | - Architecture and development tools - Real-time data processing - Stream computing concepts |
| Topic 3: IBM InfoSphere BigInsights | 35% | - Data processing and storage - Architecture and components
|
| Topic 4: Big Data Concepts & Architecture | 30% | - Hadoop ecosystem fundamentals
- Characteristics of Big Data (4 Vs) |
IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:
Question 1
What is the purpose of IBM InfoSphere Streams Studio?
A. IBM InfoSphere Streams Studio provides an integrated, modular environment for database
development and administration of DB2 databases,
Informix, and other non-IBM databases.
B. IBM InfoSphere Streams Studio is an Eclipse-ready tool that enables you to create, edit,
visualize, test, debug, and run Streams Processing
Language (SPL) and SPL mixed-mode applications.
C. IBM InfoSphere Streams Studio improves performance and cuts costs by providing expert
advice on writing high quality queries and improving
database design.
D. IBM InfoSphere Streams Studio is an Eclipse-ready tool that enables you to create, edit,
visualize, test, debug, and run MapReduce jobs for
virtualized applications.
Question 2
Which of the following options is NOT CORRECT?
A. Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.
B. Big data solutions are ideal for Online Transaction Analytical Process (OLTP) environments.
C. Big data solutions are ideal for analyzing not only raw structured data, but semi- structured and unstructured data from a wide variety of sources.
D. Big data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn?t nearly as effective as a larger set of data from which to derive analysis.
Question 3
Which of the following options best describes the differences between a traditional data warehouse environment and a Hadoop environment?
A. Hadoop environments are mostly ideal for analyzing structured and semi-structured data from a
single system, while traditional data
warehousing environment is well suited to deal with unstructured data, as well as when a data
discovery process is needed.
B. Typically, data stored in data warehousing environments is rarely filtered and pre-processed.
On the other hand, data injected into Hadoop
environments is always pre-processed and filtered.
C. Typically, data stored in Hadoop environments is cleaned up before storing in the distributed
file-system.
D. Traditional data warehousing environments are mostly ideal for analyzing structured data from
various systems, while a Hadoop environment is
well suited to deal with semi-structured and unstructured data, as well as when a data discovery
process is needed.
Question 4
Which of the following statements is NOT CORRECT?
A. InfoSphere Streams supports communications to Internet Protocol version 6 (IPv6) networks.
B. InfoSphere Streams jobs must be coded using either HiveQL or Jaql languages.
C. InfoSphere Streams provides support for reuse of existing Java or C++ code, as well as Predictive Model Markup Language (PMML) models.
D. InfoSphere Streams supports both command line and graphical interfaces to administer the
Solutions:
| Question 1 Answer: B | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: B |


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