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Exam Code: PR000041

Exam Name: PowerCenter Data Integration 9.x:Developer Specialist

One year free update, No help, Full refund!

PR000041 Practice Test Total Q&A: 70 Questions and Answers

Last Update: 2016-11-04

PR000041 Exam Tests Detail: PR000041 Practice Test

 

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Universal Data Access
Access all types of data including transactions, applications, databases, log files, social, machine, and sensor data.

 
High-Speed Ingestion & Extraction
Move data among source systems, Hadoop, and target applications using high-performance connectivity and dynamic mappings.

Data Integration on Hadoop
Get access to an extensive library of prebuilt transformation capabilities on Hadoop using a visual development environment.

 
Data Profiling on Hadoop
Profile data on Hadoop to understand the data, identify data quality issues, and collaborate on data pipelines.

Data Discovery on Hadoop
Automate the discovery of data domains and relationships on Hadoop such as sensitive data that needs to be protected.

 
Data Quality on Hadoop
Cleanse, standardize, and enrich data on Hadoop using an extensive set of prebuilt data quality rules including address validation.

Natural Language Processing on Hadoop
Use natural language processing to identify and classify entities in text such as in documents and social media.

 
Complex Data Parsing on Hadoop
Parse complex, multi-structured, unstructured, and industry standard data on Hadoop using pre-built parsers or easily create your own.

End-to-End Data Lineage
Provides complete transparency with end-to-end data lineage of all data movement from source data, through Hadoop, to target applications.

 
Persistent Data Masking on Hadoop
De-sensitize and de-identify sensitive data with this option while maintaining referential integrity so you can use the masked data in testing, analytics, or support environments.

Visual Design Environment
Builds on top of the open-source Hadoop framework and preserves all the transformation logic without specialized development.

 
Universal Metadata Services
Search, discover, and understand enterprise data with Live Data Map, which leverages Spark for at-scale fast knowledge graph creation.

Flexible Deployment
Operates nearly everywhere, including Amazon Web Services, Elastic MapReduce, and Microsoft Azure HDInsight.