Foundations of IBM Big Data C2090-136 Exam Preparation Material

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C2090-136: Foundations of IBM Big Data & ****ytics Architecture V1 exam contains 58 multiple-choice questions (be obliged to attain score of 70% correct to clear this exam). The candidate will have 90 minutes to complete the exam. It is available in English language only.

This test consists of 6 sections.

 

Section 1: Big Data & ****ytics Advantages and Concepts
Elucidate volume, velocity, diversity and veracity in relation to BD&A, classify ****ytics and the different types, explain the value of ****ytics to uphold business decisions, clarify how Big Data & ****ytics are interlocked, enlighten the diverse data preparation processes, elucidate precise data preparation techniques meant for creating structured data and explain the general sources of data for BD&A.

 

Section 2: Big Data & ****ytics Design Principles

Clarify when it is suitable to use Hadoop to support the BD&A use case, enlighten when it is correct to use data streaming to sustain the BD&A use case, give details when it is suitable to influence data streaming and Hadoop for data integration Extract, Transform, and Load (ETL), illustrate at what time to use ****ytics on data-in-motion vs ****ytics on data-at rest to support a corporate use case, utilize the CAP theorem to opt an optimal data storage technology and portray the considerations of security on BD&A. IBM Certified Solution Advisor


 

Section 3: IBM Big Data & ****ytics Adoption

1.    Elucidate how to control maturity models intended for IBM Big Data & ****ytics to recognize the customer’s current position and define the future development, give industry adoption examples for BD&A to direct a customer on their own use cases, depict the advantages of social media ****ytics to support BD& A use cases.


 

Section 4: IBM Big Data & ****ytics Solutions

1.    Give details when it is suitable to use IBM BigInsights versus other hadoop distributions, explain how data can be provisioned designed for use with SPSS modeler to bring ****ytic outcomes, explain what solutions are desirable to manage and administer BD&A workloads, classify how to develop Risk Management with BD&A, explain the advantages of "in-database" ****ytics, illustrate the key BD&A units necessary to support a real-time operational ****ytics.

 

Section 5: IBM Big Data & ****ytics Infrastructure Considerations
Clarify how infrastructure matters in facilitating Big Data & ****ytics, portray the responsibility of storage and storage management software in Big Data and ****ytics, illustrate how customers by means of data already managed by System z can broaden the platform to incorporate ****ytics.

 

Section 6: IBM Big Data & Reference Architecture


 

Elucidate the advantages of IBM integrated BD&A platform, describe the Acquire, Grow, Retain customers vital and associated use cases, classify the Transform Financial Processes necessary and associated use cases.

 

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