IBM Big Data Engineer : C2090-101

  • Exam Code: C2090-101
  • Exam Name: IBM Big Data Engineer
  • Updated: Aug 09, 2026
  • Q & A: 108 Questions and Answers

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About IBM Big Data Engineer : C2090-101 Exam

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Who should take the C2090-101 exam

The IBM Big Data Engineer C2090-101 Exam certification is an internationally-recognized validation that identifies persons who earn it as possessing skilled in IBM Analytics Platform Certification. If a candidate wants significant improvement in career growth needs enhanced knowledge, skills, and talents. The IBM Big Data Engineer C2090-101 Exam certification provides proof of this advanced knowledge and skill. If a candidate has knowledge of associated technologies and skills that are required to pass IBM Big Data Engineer C2090-101 Exam then he should take this exam.

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IBM C2090-101 Exam Syllabus Topics:

TopicDetailsWeights
Architecture and Integration-Implement MapReduce
-Evaluate use cases for selecting Hive, Big SQL, or HBase
-Create and/or query a Solr index
-Evaluate use cases for selecting potential file formats (e.g. JSON, CSV, Parquet, Sequence, etc..)
-Utilize Apache Hue for search visualization
17%
Data Preparation, Transformation, and Export-Use Jaql query methods to transform data in InfoSphere BigInsights
-Capture and prep social data for analytics
-Integrating SPSS model scoring in InfoSphere Streams
-Implement entity resolution within a Big Data platform (e.g. Big Match)
-Utilize Pig for data transformation and data manipulation
-Use Big SQL to transform data in InfoSphere BigInsights
-Export processing results out of Hadoop (e.g. DataClick, DataStage, etc.)
-Utilize consistent regions in InfoSphere Streams to ensure at least once processing
26%
Data Security-Keep data secure within PCI standards
-Uses masking (e.g. Optim, Big SQL), and redaction to protect sensitive data
8%
Performance and Scalability-Use Resilient Distributed Dataset (RDD) to improve MapReduce performance
-Choose file formats to optimize performance of Big SQL, JAQL, etc.
-Make specific performance tuning decisions for Hive and HBase
-Analyze performance considerations when using Apache Spark
15%
Data Loading-Load unstructured data into InfoSphere BigInsights
-Import streaming data into Hadoop using InfoSphere Streams
-Create a BigSheets workbook
-Import data into Hadoop and create Big SQL table definitions
-Import data to HBase
-Import data to Hive
-Use Data Click to load from relational sources into InfoSphere BigInsights with a self-service process
-Extract data from a relational source using Sqoop
-Load log data into Hadoop using Flume
-Insert data via IBM General Parallel File System (GPFS) Posix file system API
-Load data with Hadoop command line utility
34%

When you get qualified by the IBM Big Data Engineer certification, you can gain the necessary, inclusive knowledge to speed up your professional development. You will get more opportunity to achieve the excellent job with high salary. The better life is easy to create along with the improvement of your personal ability. While, the way to get IBM Big Data Engineer certification is considerably difficult, you should pay more during the preparation. Now, C2090-101 real practice torrent is designed to help you strengthen your technical job skills and prepare well for your IBM Big Data Engineer actual test. Our high quality C2090-101 vce torrent will make it easy to understand the knowledge about real exam dumps. Now, please try our IBM Big Data Engineer real exam dumps, start building your beautiful life.

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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.

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

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