GAQM CBDFS-001 real exam prep : Certified Big Data Foundation Specialist (CBDFS)

  • Exam Code: CBDFS-001
  • Exam Name: Certified Big Data Foundation Specialist (CBDFS)
  • Updated: Sep 21, 2026
  • Q&As: 0 Questions and Answers

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GAQM CBDFS-001 Exam Syllabus Topics:

SectionObjectives
Topic 1: Security and Cloud in Big Data- Data security
  • 1. Data privacy considerations
    • 2. Access control and encryption basics
      - Cloud platforms
      • 1. Scalability and distributed computing in cloud
        • 2. Cloud-based big data services overview
          Topic 2: 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 3: 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 4: 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 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: Big Data Fundamentals- Introduction to Big Data concepts
                                          • 1. Characteristics of Big Data (Volume, Velocity, Variety, Veracity)
                                            • 2. Traditional data vs Big Data systems
                                              - Big Data architecture overview
                                              • 1. Data pipelines and data lifecycle
                                                • 2. Batch vs streaming processing

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