This page is a one-stop solution for any information you may require for IBM Certified Data Architect - Big Data (C2090-102) Certification exam. The IBM C2090-102 Exam Summary, Syllabus Topics and Sample Questions provide the base for the actual IBM Certified Big Data Architect exam preparation, we have designed these resources to help you get ready to take your dream exam.
The IBM Certified Data Architect - Big Data credential is globally recognized for validating IBM Big Data Architect knowledge. With the IBM Certified Big Data Architect Certification credential, you stand out in a crowd and prove that you have the IBM Big Data Architect knowledge to make a difference within your organization. The IBM Certified Data Architect - Big Data Certification (C2090-102) exam will test the candidate's knowledge on following areas.
IBM C2090-102 Exam Summary:
| Exam Name | IBM Certified Data Architect - Big Data |
| Exam Code | C2090-102 |
| Exam Duration | 90 minutes |
| Exam Questions | 55 |
| Passing Score | 60% |
| Exam Price | $200 (USD) |
| Training | BigInsights Analytics for Programmers |
| Exam Registration | PearsonVUE |
| Sample Questions | IBM Big Data Architect Certification Sample Question |
| Practice Exam | IBM Big Data Architect Certification Practice Exam |
IBM C2090-102 Exam Topics:
| Objective | Details | Weight |
|---|---|---|
| Requirements |
- 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
|
16% |
| Use Cases |
- 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
|
46% |
| Applying Technologies |
- 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
|
16% |
| Recoverability |
- 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
|
11% |
| Infrastructure |
- 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
|
11% |
The IBM has created this credential to assess the knowledge and understanding of a candidate in the area as above via the certification exam. The IBM Big Data Architect (C2090-102) Certification exam contains a high value in the market being the brand value of the IBM attached with it. It is highly recommended to a candidate to do a thorough study and also get a hand full of the practice to clear IBM Certified Data Architect - Big Data exam without any hiccups.