- Data Loading
- Data Security
- Architecture and Integration
- Performance and Scalability
- Data Preparation, Transformation, and Export
IBM Big Data Engineer (C2090-101)
Type – Exam Format
No. of Questions – 84
Access – Immediate
MCQ and Answers with Explanations
- Description
- Curriculum
- Reviews
Type – Exam Format
No. of Questions – 84 Questions
Access – Immediate
MCQ and Answers with Explanations
IBM Big Data Engineer (C2090-101)
This certification is intended for IBM Big Data Engineers. The Big Data Engineer works directly with the Data Architect and hands-on Developers to convert the architect’s Big Data vision and blueprint into a Big Data reality. The Data Engineer possesses a deep level of technical knowledge and experience across a wide array of products and technologies.
Prerequisite for the exam
- Understand the data layer and particular areas of potential challenge/risk in the data layer
- Ability to translate functional requirements into technical specifications.
- Ability to take overall solution/logical architecture and provide physical architecture.
- Understand Cluster Management
- Understand Network Requirements
- Understand Important interfaces
- Understand Data Modeling
- Ability to identify/support non-functional requirements for the solution
- Understand Latency
- Understand Scalability
- Understand High Availability
- Understand Data Replication and Synchronization
- Understand Disaster Recovery
- Understand Overall performance (Query Performance, Workload Management, Database Tuning)
- Propose recommended and/or best practices regarding the movement, manipulation, and storage of data in a big data solution (including, but not limited to:
- Understand Data ingestion technical options
- Understand Data storage options and ramifications (for example, understand the additional requirements and challenges introduced by data in the cloud)
- Understand Data querying techniques & availability to support analytics
- Understand Data lineage and data governance
- Understand Data variety (social, machine data) and data volume
- Understand/Implement and provide guidance around data security to support implementation, including but not limited to:
- Understand LDAP Security
- Understand User Roles/Security
- Understand Data Monitoring
- Understand Personally Identifiable Information (PII) Data Security considerations
Course Outline
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