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

CBDFS-001
  • Exam Code: CBDFS-001
  • Exam Name: Certified Big Data Foundation Specialist (CBDFS)
  • Updated: Aug 02, 2026
  • Q & A: 0 Questions and Answers

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GAQM CBDFS-001 Exam Syllabus Topics:

SectionObjectives
Topic 1: Big Data Storage Technologies- Distributed storage systems
  • 1. HDFS fundamentals
    • 2. Data replication and fault tolerance
      - NoSQL databases
      • 1. Key-value stores
        • 2. Document, column-family, and graph databases
          Topic 2: Big Data Fundamentals- Big Data architecture overview
          • 1. Batch vs streaming processing
            • 2. Data pipelines and data lifecycle
              - Introduction to Big Data concepts
              • 1. Traditional data vs Big Data systems
                • 2. Characteristics of Big Data (Volume, Velocity, Variety, Veracity)
                  Topic 3: Big Data Processing Frameworks- In-memory and stream processing
                  • 1. Stream processing concepts (e.g., Kafka overview)
                    • 2. Apache Spark basics
                      - Batch processing
                      • 1. MapReduce concepts
                        • 2. Distributed computation models
                          Topic 4: Big Data Analytics and Applications- Use cases
                          • 1. Real-time analytics use cases
                            • 2. Business intelligence applications
                              - Analytical techniques
                              • 1. Basic machine learning concepts
                                • 2. Descriptive and predictive analytics
                                  Topic 5: Data Management and Governance- Data integration
                                  • 1. Data pipelines and ingestion methods
                                    • 2. ETL processes
                                      - Data governance and quality
                                      • 1. Metadata and data cataloging
                                        • 2. Data quality management
                                          Topic 6: Security and Cloud in Big Data- Cloud platforms
                                          • 1. Scalability and distributed computing in cloud
                                            • 2. Cloud-based big data services overview
                                              - Data security
                                              • 1. Data privacy considerations
                                                • 2. Access control and encryption basics

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