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NEW QUESTION: 1
CORRECT TEXT
Problem Scenario 76 : 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 order table : (orderid , order_date , ordercustomerid, order_status}
.....
Please accomplish following activities.
1 . Copy "retail_db.orders" table to hdfs in a directory p91_orders.
2 . Once data is copied to hdfs, using pyspark calculate the number of order for each status.
3 . Use all the following methods to calculate the number of order for each status. (You need to know all these functions and its behavior for real exam)
- countByKey()
-groupByKey()
- reduceByKey()
-aggregateByKey()
- combineByKey()
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=orders --target-dir=p91_orders
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 p91_orders/part-m-00000
Step 3: countByKey #Number of orders by status allOrders = sc.textFile("p91_orders")
#Generate key and value pairs (key is order status and vale as an empty string keyValue = aIIOrders.map(lambda line: (line.split(",")[3], ""))
#Using countByKey, aggregate data based on status as a key
output=keyValue.countByKey()Jtems()
for line in output: print(line)
Step 4 : groupByKey
#Generate key and value pairs (key is order status and vale as an one
keyValue = allOrders.map(lambda line: (line.split)",")[3], 1))
#Using countByKey, aggregate data based on status as a key output=
keyValue.groupByKey().map(lambda kv: (kv[0], sum(kv[1]}}}
tor line in output.collect(): print(line}
Step 5 : reduceByKey
#Generate key and value pairs (key is order status and vale as an one
keyValue = allOrders.map(lambda line: (line.split(","}[3], 1))
#Using countByKey, aggregate data based on status as a key output=
keyValue.reduceByKey(lambda a, b: a + b)
tor line in output.collect(): print(line}
Step 6: aggregateByKey
#Generate key and value pairs (key is order status and vale as an one keyValue = allOrders.map(lambda line: (line.split(",")[3], line}} output=keyValue.aggregateByKey(0, lambda a, b: a+1, lambda a, b: a+b} for line in output.collect(): print(line}
Step 7 : combineByKey
#Generate key and value pairs (key is order status and vale as an one
keyValue = allOrders.map(lambda line: (line.split(",")[3], line))
output=keyValue.combineByKey(lambda value: 1, lambda ace, value: acc+1, lambda ace, value: acc+value) tor line in output.collect(): print(line)
#Watch Spark Professional Training provided by www.ABCTECH.com to understand more on each above functions. (These are very important functions for real exam)
NEW QUESTION: 2
Drag and drop the STP features from the left onto the correct descriptions on the right
Answer:
Explanation:
Explanation
Disables the switch port when it receives a BPDU = BPDU Filter
Drops all BPDUs received on the switch port = PortFast
Enable quick convergence when a direct link to a non-end device fails. = UplinkFast Forces the switch to transition directly from the blocking state to the forwarding state = BPDU guard Prevents the port from becoming a blocked port = root guard
NEW QUESTION: 3
Your network contains an Active Directory domain that is synced to Microsoft Azure Active Directory (Azure AD).
You have a Microsoft Office 365 subscription. All computers are joined to the domain and have the latest Microsoft OneDrive sync client (OneDrive.exe) installed.
On all the computers, you configure the OneDrive settings as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1:
Silently move known folders to OneDrive is enabled. Known folder include:
Desktop, Documents, Pictures, Screenshots, and Camera Roll
Box 2:
OneDrive Files On-Demand enables users to view, search for, and interact with files stored in OneDrive from within File Explorer without downloading them and taking up space on the local hard drive.
References:
https://docs.microsoft.com/en-us/onedrive/redirect-known-folders
https://docs.microsoft.com/en-us/onedrive/plan-onedrive-enterprise
NEW QUESTION: 4
A customer is purchasing a DCS3700 and likes the idea of thin provisioning the volumes.
Which statement is true regarding a DCS3700 thin provisioning implementation?
A. Thin provisioning is not offered on or with the DCS3700.
B. Thin provisioning is an available function only in a Dynamic Disk Pool(s)
C. Thing provisioning is a licensed advanced function like FlashCopy, host kits and replication.
D. Thin provisioning is free but, is tracked via registration
Answer: B
Explanation:
Reference: http://www.moorgate.co.uk/ibm-system-storage-dcs3700 (see Dynamic Disk pooling and thin provisioning)
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Aalk - 2014-05-05 16:45:18
Plato - 2014-05-05 16:45:51
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