print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

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print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

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print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

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print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

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print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

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print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

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print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

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print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

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Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

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print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

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print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

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  • print(sortedPriceProducts)
    Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
    #Dont forget to cast string
    #Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
    ((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
    (tuple[0][0],tuple[0][1]))
    Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
    # Dont forget to cast string
    # Tuple as key ((price,id},name)
    # Using minus(-) parameter can help you to make descending ordering , only for numeric value.
    sortedPrlceProducts=nonemptylines.map(lambda line:
    ((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
    (-tuple[0][0],tuple[0][1]}}

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<br/>print(sortedPriceProducts)<br/>Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.<br/>#Dont forget to cast string<br/>#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:<br/>((float(line.split((tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

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Exam Code:
print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

Exam Name:

Version: V13.25

Q & A: 72 Questions and Answers


print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

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NEW QUESTION: 1
ワークフローのデバッグに何を使用できますか？
オプションは次のとおりです。
A. ブレークポイント
B. スローステップオプション。
C. ハイライト活動。
Answer: A,B

NEW QUESTION: 2
How is call Admission Control enabled for Session Manager Release 6.1?
A. Call Admission Control is enabled on a Location by specifying a value for Managed Bandwidth.
B. Call Admission Control is enabled in the SIP Entity by specifying a value for Managed Bandwidth.
C. Call Admission Control is enabled on the Session Manager instance by specifying a value for Managed Bandwidth.
D. Call Admission Control is enabled on an Entity Link specifying a value for Managed Bandwidth on the Locations screen in Session Manager.
Answer: D

NEW QUESTION: 3
CORRECT TEXT
Problem Scenario 79 : 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
Columns of products table : (product_id | product categoryid | product_name | product_description | product_prtce | product_image )
Please accomplish following activities.
1 . Copy "retaildb.products" table to hdfs in a directory p93_products
2 . Filter out all the empty prices
3 . Sort all the products based on price in both ascending as well as descending order.
4 . Sort all the products based on price as well as product_id in descending order.
5 . Use the below functions to do data ordering or ranking and fetch top 10 elements top() takeOrdered() sortByKey()
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=products -target-dir=p93_products -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 : Step 2 : Read the data from one of the partition, created using above command, hadoop fs -cat p93_products/part-m-00000
Step 3 : Load this directory as RDD using Spark and Python (Open pyspark terminal and do following). productsRDD = sc.textFile("p93_products")
Step 4 : Filter empty prices, if exists
#filter out empty prices lines
nonemptyjines = productsRDD.filter(lambda x: len(x.split(",")[4]) > 0)
Step 5 : Now sort data based on product_price in order.
sortedPriceProducts=nonempty_lines.map(lambdaline:(float(line.split(",")[4]),line.split(",")[2]
)).sortByKey()
for line in sortedPriceProducts.collect(): print(line)
Step 6 : Now sort data based on product_price in descending order.
sortedPriceProducts=nonempty_lines.map(lambda line:
(float(line.split(",")[4]),line.split(",")[2])).sortByKey(False)
for line in sortedPriceProducts.collect(): print(line)
Step 7 : Get highest price products name.
sortedPriceProducts=nonemptyJines.map(lambda line : (float(line.split(",")[4]),line- split(,,,,,)[2]))-sortByKey(False).take(1) print(sortedPriceProducts)
Step 8 : Now sort data based on product_price as well as product_id in descending order.
#Dont forget to cast string #Tuple as key ((price,id),name)
sortedPriceProducts=nonemptyJines.map(lambda line : ((float(line
print(sortedPriceProducts)
Step 9 : Now sort data based on product_price as well as product_id in descending order, using top() function.
#Dont forget to cast string
#Tuple as key ((price,id),name)
sortedPriceProducts=nonemptyJines.map(lambda line: ((float(line.s

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Disclaimer Policy: The site does not guarantee the content of the comments. Because of the different time and the changes in the scope of the exam, it can produce different effect. Before you purchase the dump, please carefully read the product introduction from the page. In addition, please be advised the site will not be responsible for the content of the comments and contradictions between users. ", "aggregateRating": { "@type": "AggregateRating", "ratingValue": "4.7", "reviewCount": "935" }, "image": "https://www.passtorrent.com/_/ptt/imgs/product.jpg", "name": "D-SNC-DY-00
print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

Exam", "sku": "
print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

", "description": "D-SNC-DY-00 Cloud Platform Application Integration 2018 Associate -
print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

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print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

-latest-torrent.html", "priceValidUntil": "2021-04-03", "price": "62.98", "priceCurrency": "USD" }, "review": [{ "@type": "Review", "author": "Guest", "datePublished": "Apr 03, 2019", "description": "
print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

dumps still valid!", "reviewRating": { "@type": "Rating", "bestRating": "5", "ratingValue": "5", "worstRating": "0" } }] }

Andre

I find the questions in the real test are the same as the
print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

practice dump. I finished the
print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

exam paper quite confidently and passed the exam easily. Thanks a lot!

Bernard

I passed
print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

exam successfully on the first try. Your
print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

dump is really valid. Thank passtorrent and I will highly recommend it to my firends.

Christopher

I love this website-passtorrent for its kind and considerable service. I bought the
print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

exam dumps from the other webiste once and no one answerd after i paid. But passtorrent is always with me until i got my certificate! It is my best assistant!

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&youremail=' + getCookie( "myEmail") + '&' + Math.random(), type: 'GET', dataType: 'text' }); return true; } else { $('#light2,#fade').show(); return false; } } function demoVerify2() { if ($.browser.msie && parseInt($.browser.version) <= 6) return true; var regExp = /^[A-Za-z_0-9\.\-]+@[A-Za-z0-9\.\-]+\.[A-Za-z]{2,}$/; var email = $("#examemail").val(); if (email == '' || !regExp.test(email)) { alert('Please enter a correct Email Address!'); $("#examemail").focus(); return false; } document.cookie = ['myEmail', '=', encodeURIComponent($("#examemail").val())].join(''); $.ajax({ url: '/act.php?Act=getExamMsg&type=2&examcode=
print(sortedPriceProducts)
Step 10 : Now sort data based on product_price as ascending and product_id in ascending order, using takeOrdered{) function.
#Dont forget to cast string
#Tuple as key ((price,id),name) sortedPriceProducts=nonemptyJines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(tuple[0][0],tuple[0][1]))
Step 11 : Now sort data based on product_price as descending and product_id in ascending order, using takeOrdered() function.
# Dont forget to cast string
# Tuple as key ((price,id},name)
# Using minus(-) parameter can help you to make descending ordering , only for numeric value.
sortedPrlceProducts=nonemptylines.map(lambda line:
((float(line.split(","}[4]},int(line.split(","}[0]}},line.split(","}[2]}}.takeOrdered(10, lambda tuple :
(-tuple[0][0],tuple[0][1]}}

&youremail=' + $("#examemail").val() + '&' + Math.random(), type: 'GET', dataType: 'text' }); $('#light2,#fade').hide(); return true; }

Our exam sure pass torrent with the latest and accurate questions & answers help you pass the actual test with 100% assurance. Now, you can download the free demo for practice and try. You can easily pass with our training torrent.

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