2017年4月12日星期三

C2090-102 Valid Exam Simulator Online & New C5050-287 Exam Review

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Exam Code: C2090-102

Exam Name: IBM Big Data Architect

One year free update, No help, Full refund!

C2090-102 Valid Exam Simulator Online Total Q&A: 110 Questions and Answers

Last Update: 2017-04-12

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Exam Code: C5050-287

Exam Name: Foundations of IBM Cloud Reference Architecture V5

One year free update, No help, Full refund!

New C5050-287 Exam Review Total Q&A: 60 Questions and Answers

Last Update: 2017-04-12

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This test consists of 5  sections containing a total of 55 multiple-choice questions. The percentages after each section title reflect the approximate distribution of the total question set across the sections.
Requirements (16%)


Define the input data structure


Define the outputs


Define the security requirements


Define the requirements for replacing and/or merging with existing business solutions


Define the solution to meet the customer's SLA


Define the network requirements based on the customer's requirements


Use Cases (46%)


Determine when a cloud based solution is more appropriate vs. in-house (and migration plans from one to the other)


Demonstrate why Cloudant would be an applicable technology for a particular use case


Demonstrate why SQL or NoSQL would be an applicable technology for a particular use case


Demonstrate why Open Data Platform would be an applicable technology for a particular use case


Demonstrate why BigInsights would be an applicable technology for a particular use case


Demonstrate why BigSQL would be an applicable technology for a particular use case


Demonstrate why Hadoop would be an applicable technology for a particular use case


Demonstrate why BigR and SPSS would be an applicable technology for a particular use case


Demonstrate why BigSheets would be an applicable technology for a particular use case


Demonstrate why Streams would be an applicable technology for a particular use case


Demonstrate why Netezza would be an applicable technology for a particular use case


Demonstrate why DB2 BLU would be an applicable technology for a particular use case


Demonstrate why GPFS/HPFS would be an applicable technology for a particular use case


Demonstrate why Spark would be an applicable technology for a particular use case


Demonstrate why YARN would be an applicable technology for a particular use case


Applying Technologies (16%)


Define the necessary technology to ensure horizontal and vertical scalability


Determine data storage requirements based on data volumes


Design a data model and data flow model that will meet the business requirements


Define the appropriate Big Data technology for a given customer requirement (e.g. Hive/HBase or Cloudant)


Define appropriate storage format and compression for given customer requirement


Recoverability (11%)


Define the potential need for high availability


Define the potential disaster recovery requirements


Define the technical requirements for data retention


Define the technical requirements for data replication


Define the technical requirements for preventing data loss


Infrastructure (11%)


Define the hardware and software infrastructure requirements


Design the integration of the required hardware and software components


Design the connectors / interfaces / API's between the Big Data solution and the existing systems


 


 

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