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IBM Big Data Engineer C2090-101 Exam

IBM Big Data Engineer C2090-101 Exam is requisite to obtain IBM Analytics Platform Certification. This IBM C2090-101 Exam validates and measures the candidate knowledge in extract data from relational source using Sqoop, Utilize Apache Hue for search Visualization, Export Processing Results out of Hadoop and utilize Consistent Regions in infosphere Streams. Big Data Engineers and Data Security Consultants usually hold or pursue this certification and you can expect the same job roles after completion of IBM Analytics Platform certification.

IBM Big Data Engineer Exam Certification Details:

Sample QuestionsIBM Big Data Engineer Sample Questions
Number of Questions53
Schedule ExamPearson VUE
Books / TrainingIBM Knowledge Center
Exam Price$200 (USD)
Duration75 mins
Passing Score64%
Exam NameIBM Certified Data Engineer - Big Data
Exam CodeC2090-101

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

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IBM C2090-101 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Ingestion and Integration- Data ingestion tools
  • 1. ETL concepts
    • 2. Streaming ingestion pipelines
      Topic 2: Data Governance and Security- Data quality and management
      • 1. Metadata management concepts
        • 2. Data cleansing principles
          - Security in big data systems
          • 1. Authentication and authorization basics
            • 2. Data privacy considerations
              Topic 3: Big Data Ecosystem Tools- Hadoop ecosystem
              • 1. YARN resource management
                • 2. Hive and Pig basics
                  - Data storage and query tools
                  • 1. HBase overview
                    • 2. Data querying strategies
                      Topic 4: Data Processing and Analytics- Batch and stream processing
                      • 1. Real-time data processing fundamentals
                        • 2. MapReduce concepts
                          - Spark ecosystem
                          • 1. Spark Core and RDDs
                            • 2. Spark SQL and DataFrames
                              Topic 5: Big Data Foundations- Data storage systems
                              • 1. NoSQL databases overview
                                • 2. HDFS concepts and architecture
                                  - Big data concepts and architecture
                                  • 1. Distributed computing fundamentals
                                    • 2. Characteristics of big data (volume, velocity, variety)

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