C2090-102 試験問題を無料オンラインアクセス

You are building a pricing application combining the output from your internal customer database along with an online feed that contains up to the minute competitor pricing adjustments. Which of the following is the best choice for data level real time output?

• A.Big SQL
• B.Infosphere streams
• C.Big R
• D.Hadoop native hdfs map reduce based queries

A media company collects customer behavior data, such as how frequently they tune in, specific viewing habits, and peak usage in real time, in order to improve their services.The company likes to segmentits customers for advertisers by correlating viewing habits with public data, such as voter registration, in order to launch highly targeted campaigns to specific demographics. What technology should their Data Architect consider?

• A.BigInsights and Pure Data for Operational Analytics PDOA
• B.PureData for Analytics and SPSS
• C.InfoSphere Streams, Spark, and BigR
• D.InfoSphere Streams, BigInsights, and Pure Data for Analytics PDA

Which of the following statements regarding Big R is TRUE?

• A.A data analyst using Big R employs MapReduce programming principles
• B.When you execute Big R "apply" function, Big R transparently extracts data out of HDFS into the Big R engine
• C.Unless specified otherwise, Big R automatically assumes all data to be integers
• D.Big R's 'bigr.frame' is equivalent to R's 'data.frames'

Which one of the following statements is TRUE?

• A.Big SQL only works with HDFS
• B.Big SQL executes queries locally on Big SQL server single node on a multi node cluster
• C.Big SQL uses Hadoop MR framework to process query tasks in parallel
• D.Big SQL can process queries in parallel and executes queries locally

In order to enable connectivity between Netezza and BigInsights, what must be enabled on the Netezza Performance Server?

• A.JAQL Netezza connectors
• B.ODBC drivers from Netezza
• C.Java-based Netezza user-defined functions
• D.JDBC drivers from Netezza