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IBM C2090-101 : IBM Big Data Engineer Exam
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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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international business Machines Corp. is exploring a potential sale of its IBM Watson fitness company, in response to people time-honored with the rely, because the technology large's new chief government moves to streamline the enterprise and become greater competitive in cloud computing.
IBM is studying options for the unit that might consist of a sale to a private-equity firm or industry player or a merger with a clean-investigate business, the people mentioned. The unit, which employs synthetic intelligence to assist hospitals, insurers and drugmakers manage their facts, has roughly $1 billion in annual profits and is not at the moment profitable, the individuals mentioned.
Its manufacturers encompass Merge Healthcare, which analyzes mammograms and MRIs; Phytel, which assists with patient communications; and Truven fitness Analytics, which analyzes complex healthcare facts.
It is never clear how a great deal the business might fetch in a sale, and there might also not be one.
IBM, with a market value of $108 billion, has been left at the back of as cloud-computing rivals Microsoft Corp. and Amazon.com Inc. jump to valuations more than 10 times more advantageous. The Armonk, N.Y., company has pointed out or not it's concentrated on boosting its hybrid-cloud operations while exiting some unrelated businesses.
IBM closing yr signaled its new center of attention with the appointment of Arvind Krishna, who had run the company's cloud and cognitive-utility division, to be successful longtime CEO Ginni Rometty.
In October, IBM stated it planned to separate a massive part of its guidance-technology services operations, which may be the company's greatest-ever company exit. The unit manages purchasers' IT infrastructure and accounts for well-nigh a quarter of IBM's sales and staff.
Watson become one in all IBM's optimum-profile initiatives in fresh years and a big wager on the turning out to be healthcare sector, notwithstanding results disappointed in part because physicians had been hesitant to adopt synthetic intelligence.
The company spent billions purchasing up a set of fitness-connected groups that are actually part of IBM Watson health, with the aim of combining them into an enormous store of patient information and making use of algorithms to extract helpful insights.
IBM paid around $2.6 billion for Truven in 2016, essentially $1 billion for Merge Healthcare in 2015 and around $230 million for Phytel, in accordance with FactSet. expense tags for other acquisitions weren't disclosed.
while the trouble made strides in areas including oncology and genomics, it in no way became the cohesive enterprise IBM expected and has lost key executives in contemporary years.
When it appointed Mr. Krishna CEO, IBM also named Jim Whitehurst -- CEO of red Hat, the open-source software enterprise IBM bought for approximately $33 billion in 2019 -- as its president, the primary time in many years it has given an government that title.
IBM noticed the deal for purple Hat, the largest in its heritage, as an opportunity to benefit on competitors in cloud computing. It has referred to it's aiming for sustainable single-digit earnings increase after the planned spinoff of its managed-infrastructure company, which generates about $19 billion in annual salary. IBM's sales have fallen in more than two dozen quarters during the past decade.
Write to Laura Cooper at laura.cooper@wsj.com and Cara Lombardo at cara.lombardo@wsj.com
(end) Dow Jones Newswires
February 18, 2021 20:36 ET (01:36 GMT)
Copyright (c) 2021 Dow Jones & business, Inc.
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