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IBM C2090-101 : IBM Big Data Engineer Exam

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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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IBM releases Open source Cloud e-book, urges builders to contribute | C2090-101 test Braindumps and Practice Questions

IBM recently launched a new Open source Cloud e-book designed to outline three main issues: how distinctive cloud environments use open supply, a lot of open supply tasks for hybrid cloud environments, and use cases essential to hybrid cloud environments. 

builders have been inspired to now not best use the e-book however to contribute their own ideas as neatly. The book is created specially for people that need to boost cloud functions. 

Todd Moore, vp of Open Tech at IBM, told ZDNet that the ebook grew out of discussions the company become having with developers constructing hybrid cloud functions.

"IBM is all about creating a cloud platform that makes it possible for choice and interoperability for their partners, purchasers, and the developer community. we're leaning into their new strategy of working with the ecosystem to collaboratively supply improvements and learnings for the decent of the community," Moore spoke of. 

"The Open supply Cloud e book presents an agnostic view of open source cloud equipment that they comprehend developers, who need to build for option and interoperability, can use. we're beginning this as an ongoing task and are asking that builders contribute to it over time. this way, they can create a residing useful resource for this tips that grows as the technology develops."

Moore introduced that by way of open sourcing the ebook, the hope is for builders to both use and make a contribution to the learnings and use cases so that there can be one centralized vicinity for these dwelling substances. 

He stated that IBM calls them living as a result of they could normally be added to and updated. 

"We need to recognize what open supply tasks builders suppose are helpful and should be included. this can aid keep away from blind spots, and collaboration right here is essential. They hope that this category of assistance sharing... can make stronger the ecosystem as a whole," Moore defined. 

part of what led to the hassle across the e-book was an O'Reilly survey commissioned through IBM closing 12 months, which discovered that builders strongly consider in honing their knowledge across the open supply equipment that underly every primary cloud platform -- as a substitute of solely specializing in constructing talents for a proprietary cloud. 

"really, 65% of respondents to the equal survey agreed that contributions to open source tasks provoke competencies employers and result in more desirable skilled alternatives. Working in the open supply community and sharing counsel across groups and groups permits us all to do their most useful work," he spoke of. 

IBM referred to the book was "an agnostic view of open supply cloud equipment" that developers can use. 

Chris Ferris, CTO of open tech at IBM, wrote that the enterprise's intention is to supply the global developer ecosystem one place to focal point on their open-source building efforts when setting up for selected use situations related to multicloud construction.

The book is broken down into four technical areas:artificial intelligenceAPIs, huge information, and containers. 

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