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NEW QUESTION: 1
CORRECT TEXT
Problem Scenario 75 : You have been given MySQL DB with following details.
user=retail_dba
password=cloudera
database=retail_db
table=retail_db.orders
table=retail_db.order_items
jdbc URL = jdbc:mysql://quickstart:3306/retail_db
Please accomplish following activities.
1. Copy "retail_db.order_items" table to hdfs in respective directory p90_order_items .
2. Do the summation of entire revenue in this table using pyspark.
3. Find the maximum and minimum revenue as well.
4. Calculate average revenue
Columns of ordeMtems table : (order_item_id , order_item_order_id ,
order_item_product_id, order_item_quantity,order_item_subtotal,order_
item_subtotal,order_item_product_price)
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Import Single table .
sqoop import --connect jdbc:mysql://quickstart:3306/retail_db -username=retail_dba - password=cloudera -table=order_items --target -dir=p90 ordeMtems --m 1
Note : Please check you dont have space between before or after '=' sign. Sqoop uses the
MapReduce framework to copy data from RDBMS to hdfs
Step 2 : Read the data from one of the partition, created using above command. hadoop fs
-cat p90_order_items/part-m-00000
Step 3 : In pyspark, get the total revenue across all days and orders. entire TableRDD = sc.textFile("p90_order_items")
#Cast string to float
extractedRevenueColumn = entireTableRDD.map(lambda line: float(line.split(",")[4]))
Step 4 : Verify extracted data
for revenue in extractedRevenueColumn.collect():
print revenue
#use reduce'function to sum a single column vale
totalRevenue = extractedRevenueColumn.reduce(lambda a, b: a + b)
Step 5 : Calculate the maximum revenue
maximumRevenue = extractedRevenueColumn.reduce(lambda a, b: (a if a>=b else b))
Step 6 : Calculate the minimum revenue
minimumRevenue = extractedRevenueColumn.reduce(lambda a, b: (a if a<=b else b))
Step 7 : Caclculate average revenue
count=extractedRevenueColumn.count()
averageRev=totalRevenue/count

NEW QUESTION: 2
Employers are legally allowed to check and review employee emails subject to which of the following requirements?
A. Evidence to suggest wrongdoing on the employee's part
B. Written policy informing employees of potential for email searches
C. Immediate notification from the legal department of impending review
D. No notification is required, therefore employers may check and review employee emails at any time
E. Employers are not allowed to check or review employee emails without employee permission
Answer: B
Explanation:
Explanation: Employers are legally allowed to check and review employee email as long as they provide a written policy informing employees of the potential for email searches. Without this written policy, employers could legally file concerns about invasion of employee privacy. Answer choice A is incorrect because immediate notification from the legal department of impending review would not be sufficient. Answer choice B is incorrect because evidence of employee wrongdoing is too late for an employer to implement a search policy. Answer choice D is incorrect because notification is required. Although employers technically own the emails that employees send and receive, they are not advised to search emails without a written search policy. Answer choice E is incorrect because employers are allowed to check and review employee emails.

NEW QUESTION: 3
It is an entity or event with the potential to adversely impact a system through unauthorized access, destruction, disclosure, denial of service or modification of data.
Which of the following terms best matches the definition?
A. Risk
B. Vulnerability
C. Threat
D. Attack
Answer: C