IBM Big Data Engineer (C2090-101)
$50
Type – Exam Format
No. of Questions – 84
Access – Immediate
MCQ and Answers with Explanations
Last Update – 9th February of 2021
Description
Type – Exam Format
No. of Questions – 84
Access – Immediate
MCQ and Answers with Explanations
Last Update – 9th February of 2021
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
- Data Loading
- Data Security
- Architecture and Integration
- Performance and Scalability
- Data Preparation, Transformation, and Export
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