IBM C2090-101 exam is an advanced-level certification exam designed for professionals who want to become IBM Big Data Engineers. C2090-101 exam is designed to test the candidate's knowledge and skills in various areas of big data engineering, including data processing, data integration, data warehousing, and data analytics. Candidates who pass C2090-101 exam will be qualified to work as IBM Big Data Engineers and will be able to demonstrate their skills and knowledge to potential employers.
Reference: https://www.ibm.com/certify/exam?id=C2090-101
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IBM C2090-101 Exam topics
Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our C2090-101 exam dumps will include the following topics:
- Data Loading: 34%
- Data Preparation, Transformation, and Export: 26%
- Performance and Scalability: 15%
- Architecture and Integration: 17%
- Data Security: 8%
IBM C2090-101 Exam Syllabus Topics:
| Section | Objectives |
| Topic 1: Data Ingestion and Integration | - Data ingestion tools
- 1. Streaming ingestion pipelines
- 2. ETL concepts
|
| Topic 2: Big Data Ecosystem Tools | - Data storage and query tools
- 1. Data querying strategies
- 2. HBase overview
- Hadoop ecosystem
- 1. YARN resource management
- 2. Hive and Pig basics
|
| Topic 3: Big Data Foundations | - Big data concepts and architecture
- 1. Distributed computing fundamentals
- 2. Characteristics of big data (volume, velocity, variety)
- Data storage systems
- 1. NoSQL databases overview
- 2. HDFS concepts and architecture
|
| Topic 4: Data Governance and Security | - Security in big data systems
- 1. Authentication and authorization basics
- 2. Data privacy considerations
- Data quality and management
- 1. Metadata management concepts
- 2. Data cleansing principles
|
| Topic 5: Data Processing and Analytics | - Spark ecosystem
- 1. Spark SQL and DataFrames
- 2. Spark Core and RDDs
- Batch and stream processing
- 1. MapReduce concepts
- 2. Real-time data processing fundamentals
|