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NEW QUESTION: 1
Ihr Unternehmen verfügt über einen Microsoft Azure Active Directory-Mandanten mit dem Namen contoso.onmicrosoft.com.
Sie erwerben eine Domain mit dem Namen contoso.com von einem Registrar und fügen alle erforderlichen DNS-Einträge hinzu.
Sie erstellen ein Benutzerkonto mit Name User1. Benutzer1 ist so konfiguriert, dass er sich als [email protected] anmeldet.
Sie müssen Benutzer1 so konfigurieren, dass er sich als [email protected] anmeldet.
Welche drei Aktionen sollten Sie nacheinander ausführen? Verschieben Sie zum Beantworten die entsprechenden Aktionen aus der Liste der Aktionen in den Antwortbereich und ordnen Sie sie in der richtigen Reihenfolge an.
Answer:
Explanation:
Explanation:
The first step is to add the contoso.com domain to Office 365. You do this by adding a custom domain. When you add a custom domain to office 365, you can use the domain as your email address or to sign in to Office 365.
The second step is to verify the custom domain. This is to prove that you own the domain. You can verify the custom domain by adding a DNS record to the domain DNS zone.
When you have added and verified the domain, you can configure the user accounts to use it. To configure User1 to sign in as [email protected], you need to change the username of User1. In Office 365, the username is composed of two parts. The first part is the actual username (User1) and the second part is the domain. You need to modify the username of User1 by selecting the contoso.com domain from the dropdown list of domains. The dropdown list of domains contains the <domain>.onmicrosoft.com domain and any custom domains that have been added.
Reference:
https://docs.microsoft.com/en-us/office365/admin/setup/add-domain?view=o365-worldwide
NEW QUESTION: 2
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