Data Processing With Pig - Practice Test

(A) You can run Pig scripts from the command line and from the Grunt shell

(B) DECLARE defines a Pig macro

(C) Use Pig scripts to place Pig Latin statements and Pig commands in a single file

(D) None of the mentioned

(E) The load/store UDFs control how data goes into Pig and comes out of Pig.

(F) LoadCaster has methods to convert byte arrays to specific types.

(G) The meaning of getNext() has changed and is called by Pig runtime to get the last tuple in the data

(H) None of the mentioned

(I) Pig can invoke code in language like Java Only

(J) Pig enables data workers to write complex data transformations without knowing Java

(K) Pig's simple SQL-like scripting language is called Pig Latin, and appeals to developers already familiar with scripting languages and SQL

(L) Pig is complete, so you can do all required data manipulations in Apache Hadoop with Pig

(M) To run Pig in local mode, you need access to a single machine

(N) The DISPLAY operator will display the results to your terminal screen

(O) To run Pig in mapreduce mode, you need access to a Hadoop cluster and HDFS installation

(P) All of the mentioned

(Q) ILLUSTRATE operator is used to review how data is transformed through a sequence of Pig Latin statements

(R) ILLUSTRATE is based on an example generator

(S) Several new private classes make it harder for external tools such as Oozie to integrate with Pig statistics

(T) None of the mentioned

Data Processing With Pig - Study Mode