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 questions PDF, P4S Blue Prism 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]}}
exam, 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]}}
pdf, P4S 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, 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]}}
braindumps, 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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Guarantee your Blue Prism 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 success with our study guide . Our 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 are developed by experience's Blue Prism certification Professionals working in today's prospering companies and Blue Prism data centers. All our 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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(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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NEW QUESTION: 1 過去30日間にアクティビティがあり、特定のランディングページを送信したプロスペクトに50ポイントを追加する自動化ルールを設定しました。最近のアクティビティを反映するようにこれを変更し、すべてのランディングページに開くことにしました。ルール基準を編集して、10日以内の見込み客の最後のアクティビティとランディングページの送信を反映し、代わりに75ポイントを追加するようにアクションを更新します。次の説明のうち正しいものはどれですか？ A. すでにルールに一致しているすべてのプロスペクトについて、すでに受け取っている50ポイントではなく、75ポイントの完了アクションを受け取ります。 B. すでに一致しているすべての見込み客に対して、新しいアクションは適用されません。 C. すでにルールに一致しているすべてのプロスペクトについて、すでに受け取っている50ポイントに加えて、75ポイントの完了アクションを受け取ります。 D. すでに一致しているが、新しい基準も満たしている見込み客の場合、すでに受け取っている50ポイントに加えて、75ポイントを受け取ります。 Answer: B
NEW QUESTION: 2 You have a workspace that contains 10 dashboards. A dashboard named Sales Data from two datasets. You discover that users are unable to find data on the dashboard by using natural language queries. You need to ensure that the users can find data by using natural language queries. What should you do? A. From the Sales Data dashboard, modify the dashboard as a Favorite. B. From the properties of the dashboard, modify the Q&A settings. C. From the properties of the datasets, modify the Q&A and Cortana settings. D. From the settings of the workspace, modify the Language Settings. Answer: C Explanation: Explanation References: https://docs.microsoft.com/en-us/power-bi/service-q-and-a-direct-query#limitations-during-public-preview
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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