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IBM C2090-101 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Utilize consistent regions in InfoSphere Streams to ensure at least once processing
  • Load log data into Hadoop using Flume
Topic 2
  • Insert data via IBM General Parallel File System (GPFS) Posix file system API
  • Use Jaql query methods to transform data in InfoSphere BigInsights
Topic 3
  • Evaluate use cases for selecting Hive, Big SQL, or HBase
  • Create a BigSheets workbook
Topic 4
  • Utilize Apache Hue for search visualization
  • Extract data from a relational source using Sqoop
Topic 5
  • Analyze performance considerations when using Apache Spark
  • Keep data secure within PCI standards

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

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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.

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