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NEW QUESTION: 1
The purpose of document control is to ensure that documentary information is current and the confidentiality of business continuity materials is safeguarded.
A. True
B. False
Answer: A
NEW QUESTION: 2
Which three flow-control port states lead to enabled link flow control? (Choose three.)
A. Receive port: Enabled, Transmit port: Enabled
B. Receive port: Disabled, Transmit port: Desired
C. Receive port: Enabled, Transmit port: Disabled
D. Receive port: Enabled, Transmit port: Desired
E. Receive port: Desired, Transmit port: Desired
Answer: A,D,E
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 3
솔루션 아키텍트가 Amazon S3 웹 사이트 엔드 포인트를 오리진으로 사용하여 Amazon CloudFront 배포에 있는 공개적으로 액세스 할 수 있는 웹 애플리케이션을 설계하고 있습니다. 솔루션이 배포되면 웹 사이트에서 오류 403 : 액세스 거부 메시지를 반환합니다. 솔루션 아키텍트가 수정하기 위해 취해야 하는 단계 문제 1? (2 개 선택)
A. S3 버킷에서 S3 블록 퍼블릭 액세스 옵션 제거
B. CloudFront 배포에서 원본 액세스 ID (OAI) 제거
C. 스토리지 등급을 S3 Standard에서 S3 One Zone-Infrequent Access (S3 One Zone-IA)로 변경
D. S3 버킷에서 요청자 지불 옵션 제거
E. S3 객체 버전 관리 비활성화
Answer: A,D
NEW QUESTION: 4
CORRECT TEXT
Problem Scenario 87 : You have been given below three files
product.csv (Create this file in hdfs)
productID,productCode,name,quantity,price,supplierid
1 001,PEN,Pen Red,5000,1.23,501
1 002,PEN,Pen Blue,8000,1.25,501
1003,PEN,Pen Black,2000,1.25,501
1004,PEC,Pencil 2B,10000,0.48,502
1005,PEC,Pencil 2H,8000,0.49,502
1006,PEC,Pencil HB,0,9999.99,502
2001,PEC,Pencil 3B,500,0.52,501
2002,PEC,Pencil 4B,200,0.62,501
2003,PEC,Pencil 5B,100,0.73,501
2004,PEC,Pencil 6B,500,0.47,502
supplier.csv
supplierid,name,phone
501,ABC Traders,88881111
502,XYZ Company,88882222
503,QQ Corp,88883333
products_suppliers.csv
productID,supplierID
2001,501
2002,501
2003,501
2004,502
2001,503
Now accomplish all the queries given in solution.
Select product, its price , its supplier name where product price is less than 0.6 using
SparkSQL
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1:
hdfs dfs -mkdir sparksql2
hdfs dfs -put product.csv sparksq!2/
hdfs dfs -put supplier.csv sparksql2/
hdfs dfs -put products_suppliers.csv sparksql2/
Step 2 : Now in spark shell
// this Is used to Implicitly convert an RDD to a DataFrame.
import sqlContext.impIicits._
// Import Spark SQL data types and Row.
import org.apache.spark.sql._
// load the data into a new RDD
val products = sc.textFile("sparksql2/product.csv")
val supplier = sc.textFileC'sparksq