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Exam Number : C2090-101
Exam Name : IBM Big Data Engineer
Vendor Name : IBM
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Question Bank : Check Questions

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C2090-101 test Format | C2090-101 Course Contents | C2090-101 Course Outline | C2090-101 test Syllabus | C2090-101 test Objectives


Exam Title : IBM Certified Data Engineer - Big Data
Exam ID : C2090-101
Exam Duration : 75 mins
Questions in test : 53
Passing Score : 65%
Official Training : IBM Knowledge Center
Exam Center : Pearson VUE
Real Questions : IBM Big Data Engineer Real Questions
VCE practice test : IBM C2090-101 Certification VCE Practice Test

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%
Data Security
- Keep data secure within PCI standards
- Uses masking (e.g. Optim, Big SQL), and redaction to protect sensitive data 8%
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%
Performance and Scalability
- Use Resilient Distributed Dataset (RDD) to Excellerate 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 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%



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by Sue Reisinger (January 7, 2022, three:30 PM EST) -- A former frequent guidance of Nissan who introduced an unfair dismissal case against the carmaker denies he wrongly held on to personal business documents. And Google become an awful lot in the information this week, together with being fined ÔéČone hundred fifty million ($170.44 million) for privacy violations in France, granting a big pay elevate to its GC and other execs, and being advised by using two participants of Congress to cease attempting to bully the U.S. antitrust chief.

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