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NEW QUESTION: 1
Which three hybrid connectors allow Cisco Spark to be integrated with an on-premises solution? (Choose three.)
A. Calendar Connector
B. Call Connector
C. Directory Service
D. Calendar Service
E. Directory Connect
F. Calendar Aware
Answer: A,B,E

NEW QUESTION: 2
Which management platform automates and simplifies the management of Juniper Networks switching, routing, and security products?
A. Junosphere
B. Junos Space
C. Juniper Secure Analytics
D. Junoscope
Answer: B

NEW QUESTION: 3
사용자가 특정 버킷에 대한 로깅을 활성화합니다. 아래에서 언급 한 옵션 중 로그 버킷에 액세스하는데 가장 적합한 옵션은 무엇입니까?
A. 로깅 그룹에 ACL 제공
B. IAM 정책을 만들고 로그 액세스 허용
C. S3 버킷에 로깅을 사용하도록 설정할 수 없습니다.
D. 로그 버킷에 액세스 할 수있는 IAM 역할 만들기
Answer: A
Explanation:
설명:
S3 버킷 ACL의 유일한 권장 사용 사례는 Amazon S3 Log Delivery 그룹에 대한 쓰기 권한을 부여하여 액세스 로그 객체를 사용자의 버킷에 기록하는 것입니다.
http://docs.aws.amazon.com/AmazonS3/latest/dev/access-policy-alternatives-guidelines.html

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