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IBM C2090-101 (IBM Big Data Engineer) Exam is a certification exam designed to test the knowledge and skills of individuals seeking to become certified IBM Big Data Engineers. C2090-101 exam covers a wide range of topics related to big data technologies and their implementation, including data management, data ingestion, data transformation, data analysis, and data visualization. Candidates who pass the IBM C2090-101 exam demonstrate their ability to design, build, and maintain big data solutions using IBM technologies.

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Reference: https://www.ibm.com/certify/exam?id=C2090-101

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IBM C2090-101 Exam Syllabus Topics:

SectionWeightObjectives
Data Loading34%- Ingest data into HBase and Hive
- Extract data from relational sources using Sqoop
- Load unstructured data into InfoSphere BigInsights
- Load log files with Flume and command-line tools
- Create Big SQL tables and load data into Hadoop
- Import streaming data using InfoSphere Streams
Data Preparation, Transformation, and Export26%- Perform entity resolution and data cleansing
- Apply Jaql for data manipulation
- Use Pig for data transformation
- Create BigSheets workbooks
- Export results from Hadoop environment
Performance and Scalability15%- Optimize query execution and workload management
- Apply best practices for latency and throughput
- Ensure high availability and scalability
- Tune Hive, HBase, and Big SQL performance
Architecture and Integration17%- Implement MapReduce and RDD concepts
- Ensure consistent processing with InfoSphere Streams
- Design cluster architecture and storage layers
- Evaluate use cases for Hive, Big SQL, and HBase
- Integrate GPFS and distributed file systems
Data Security8%- Monitor and secure sensitive data
- Apply data masking and redaction techniques
- Comply with security standards (PCI, PII protection)
- Implement access control and LDAP security

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