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GAQM CBDFS-001 Exam : Certified Big Data Foundation Specialist (CBDFS)

CBDFS-001 actual test
  • Exam Code: CBDFS-001
  • Exam Name: Certified Big Data Foundation Specialist (CBDFS)
  • Updated: Jul 30, 2026
  • Q & A: 0 Questions and Answers
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GAQM CBDFS-001 Exam Syllabus Topics:

SectionObjectives
Big Data Analytics and Applications- Use cases
  • 1. Business intelligence applications
    • 2. Real-time analytics use cases
      - Analytical techniques
      • 1. Descriptive and predictive analytics
        • 2. Basic machine learning concepts
          Big Data Storage Technologies- NoSQL databases
          • 1. Key-value stores
            • 2. Document, column-family, and graph databases
              - Distributed storage systems
              • 1. HDFS fundamentals
                • 2. Data replication and fault tolerance
                  Big Data Fundamentals- Introduction to Big Data concepts
                  • 1. Traditional data vs Big Data systems
                    • 2. Characteristics of Big Data (Volume, Velocity, Variety, Veracity)
                      - Big Data architecture overview
                      • 1. Data pipelines and data lifecycle
                        • 2. Batch vs streaming processing
                          Data Management and Governance- Data integration
                          • 1. Data pipelines and ingestion methods
                            • 2. ETL processes
                              - Data governance and quality
                              • 1. Data quality management
                                • 2. Metadata and data cataloging
                                  Big Data Processing Frameworks- Batch processing
                                  • 1. MapReduce concepts
                                    • 2. Distributed computation models
                                      - In-memory and stream processing
                                      • 1. Stream processing concepts (e.g., Kafka overview)
                                        • 2. Apache Spark basics
                                          Security and Cloud in Big Data- Data security
                                          • 1. Access control and encryption basics
                                            • 2. Data privacy considerations
                                              - Cloud platforms
                                              • 1. Scalability and distributed computing in cloud
                                                • 2. Cloud-based big data services overview

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