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IBM P2090-032 Exam Syllabus Topics:

SectionWeightObjectives
Big Data Concepts and Characteristics25%- Business drivers and challenges of big data
- Structured, semi-structured, and unstructured data types
- 4 Vs of Big Data: Volume, Velocity, Variety, Veracity
InfoSphere BigInsights and Hadoop Ecosystem30%- BigInsights editions and capabilities
- Integration with Apache Hadoop
- Data storage and processing frameworks
- Architecture and components of InfoSphere BigInsights
InfoSphere Streams25%- Architecture and use cases
- Integration with other IBM big data solutions
- Real-time streaming analytics concepts
InfoSphere Data Explorer20%- Federated data access and connectivity
- Support for diverse data sources
- Search and discovery functionality

IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. Streams jobs can be monitored using the following tools (choose three):

A) Streamtool command.
B) Streams universal web management interface.
C) Streams Studio.
D) Streams console.


2. Which of the following options is CORRECT regarding InfoSphere Data Explorer?s annotators?

A) InfoSphere Data Explorer?s annotators allow users to save results in a private/public folder for
later review or sharing.
B) InfoSphere Data Explorer?s annotators allow users to interact with search results by providing
feedback about the result's value, and by
adding useful information and communication with other users.
C) InfoSphere Data Explorer?s annotators is an add-on feature capable of handling of a variety of
data formats and types, including structured,
semi-structured and unstructured, as well as the special demands of rich media and transactional
data.
D) InfoSphere Data Explorer?s annotators allow users to create groups of search results.


3. How do big data solutions interact with the existing enterprise infrastructure?

A) Big data solutions must be isolated into a separate virtualized environment optimized for sequential workloads, so that it doesn?t interact with existing infrastructure.
B) Big data solutions must substitute for the existing enterprise infrastructure; therefore there is no interaction between them.
C) Big data solutions works in parallel with the existing enterprise infrastructure leveraging all the unstructured raw data that cannot be processed and stored in a traditional data warehouse solutions.
D) Big data solutions are placed on top of the existing enterprise infrastructure, acting as a transparent layer converting unstructured raw data into structured, readable data, and storing the final results in a traditional data warehouse.


4. Which of the following options is CORRECT?

A) InfoSphere BigInsights is based on the nonforked core Hadoop distribution, and backwards compatibility with the Apache Hadoop project will always be maintained. Therefore, all applications written for Hadoop will run on BigInsights.
B) InfoSphere BigInsights is based on the nonforked core Hadoop distribution, but backwards compatibility with the Apache Hadoop project is not guaranteed, therefore applications written for Hadoop might not run on BigInsights.
C) InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed.
D) InfoSphere BigInsights is a distributed file system used as base for Hadoop distributions.


Solutions:

Question # 1
Answer: A,C,D
Question # 2
Answer: B
Question # 3
Answer: C
Question # 4
Answer: A

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