C2090-102: IBM Certified Data Architect - Big Data

Full Name: IBM Certified Data Architect - Big Data

Exam Code: C2090-102

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IBM C2090-102 Exam Summary:

Exam Name	IBM Certified Data Architect - Big Data
Exam Code	C2090-102
Exam Price	$200 (USD)
Duration	90 mins
Number of Questions	55
Passing Score	60%
Sample Questions	IBM Big Data Architect Certification Sample Question
Practice Exam	IBM Big Data Architect Certification Practice Exam

IBM C2090-102 Exam Topics:

Topic(Weights)	Details
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