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NEW QUESTION: 1
CORRECT TEXT
Problem Scenario 81 : You have been given MySQL DB with following details. You have been given following product.csv file product.csv productID,productCode,name,quantity,price
1001,PEN,Pen Red,5000,1.23
1002,PEN,Pen Blue,8000,1.25
1003,PEN,Pen Black,2000,1.25
1004,PEC,Pencil 2B,10000,0.48
1005,PEC,Pencil 2H,8000,0.49
1006,PEC,Pencil HB,0,9999.99
Now accomplish following activities.
1 . Create a Hive ORC table using SparkSql
2 . Load this data in Hive table.
3 . Create a Hive parquet table using SparkSQL and load data in it.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create this tile in HDFS under following directory (Without header}
/user/cloudera/he/exam/task1/productcsv
Step 2 : Now using Spark-shell read the file as RDD
// load the data into a new RDD
val products = sc.textFile("/user/cloudera/he/exam/task1/product.csv")
// Return the first element in this RDD
prod u cts.fi rst()
Step 3 : Now define the schema using a case class
case class Product(productid: Integer, code: String, name: String, quantity:lnteger, price:
Float)
Step 4 : create an RDD of Product objects
val prdRDD = products.map(_.split(",")).map(p =>
Product(p(0).tolnt,p(1),p(2),p(3}.tolnt,p(4}.toFloat))
prdRDD.first()
prdRDD.count()
Step 5 : Now create data frame val prdDF = prdRDD.toDF()
Step 6 : Now store data in hive warehouse directory. (However, table will not be created } import org.apache.spark.sql.SaveMode prdDF.write.mode(SaveMode.Overwrite).format("orc").saveAsTable("product_orc_table") step 7: Now create table using data stored in warehouse directory. With the help of hive.
hive
show tables
CREATE EXTERNAL TABLE products (productid int,code string,name string .quantity int, price float}
STORED AS ore
LOCATION 7user/hive/warehouse/product_orc_table';
Step 8 : Now create a parquet table
import org.apache.spark.sql.SaveMode
prdDF.write.mode(SaveMode.Overwrite).format("parquet").saveAsTable("product_parquet_ table")
Step 9 : Now create table using this
CREATE EXTERNAL TABLE products_parquet (productid int,code string,name string
.quantity int, price float}
STORED AS parquet
LOCATION 7user/hive/warehouse/product_parquet_table';
Step 10 : Check data has been loaded or not.
Select * from products;
Select * from products_parquet;
NEW QUESTION: 2
A. False
B. True
Answer: B
Explanation:
"Capex vs. Opex" refers to the fact that stocking your own data center requires capital expenditure, while
using an external cloud service that offers pay-as-you-go service falls into ongoing operating expenditures:
thus the contrast of "Capex vs. Opex."
References: http://www.cio.com/article/2430099/virtualization/capex-vs--opex--most-people-miss-the-point-about-cloud-economics.html
NEW QUESTION: 3
You are designing updates to a Windows solution that processes complex scientific datA.The solution extracts analyzed data from Microsoft Excel by using an application-level add-in.
You have the following requirements:
---
Deploy the Excel add-in to client machines with the application. Ensure that the solution supports Excel 2007 and Excel 2010. Minimize the size of the deployment package.
You need to recommend an approach that meets the requirements.
What should you recommend?
A. Embed the type information from the Excel 2010 COM library.
B. Embed the Excel 2010 COM library.
C. Include the primary interop assembly for Excel 2010.
D. Include the primary interop assembly for Excel 2007.
Answer: D
NEW QUESTION: 4
An organization just merged with an organization in another legal jurisdiction and must improve its network security posture in ways that do not require additional resources to implement data isolation. One recommendation is to block communication between endpoint PCs. Which of the following would be the BEST solution?
A. Installing HIDS
B. Implementing network assess control
C. Configuring EDR
D. Configuring a host-based firewall
Answer: B
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