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NEW QUESTION: 1
You are implementing ElGRP between the main office and branch offices. In Phase 1 you must implement and verify EIGRP configurations as mentioned in the topology in Phase 2. your colleague is expected to do NAT and ISP configurations Identity the issues that you are encountering during Phase 1 EIGRP implementation.
* Router R1 connects the main office to the Internet and routers R2 and R3 are internal routers
* Routers Branch 1 and Branch2 connect to router R2 in the main office.
* Users from the Branch1 LAN network 10 20 40 0724 are expected to perform testing of the application that is hosted on the servers in Server farm1, before servers are available for production
- The GRE tunnel is configured between R3 and Branch1, and traffic between server farm1 and Branch1 LAN network 10 20 40 0/24 is routed through the GRE tunnel using static routes
* The link between Branch1 and Branch2 is used as a secondary path in the event of failure of the primary path to mam office You have console access on R1. R2. R3. Branch1, and Branch2 devices Use only show commands to troubleshoot the issues Topology:




Examine the R1 routing table. None of the internal routes other than locally connected appear in the routing table. Which cause of the issue is true?
A. EIGRP neighbor relationship was not formed due to K values mismatch between routers R1 and R2.
B. IP address was misconfigured between the R1 and R2 interfaces.
C. EIGRP neighbor relationship was not formed due to AS mismatch between routers R1 and R2.
D. EIGRP packets were blocked by the inbound ACL on R1.
Answer: D

NEW QUESTION: 2
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: 3
On a machine running several X servers, how do programs identify the different instances of the X11 server?
A. By a display name like: 1.
B. By a unique IPv6 address from the fe80::/64 subnet.
C. By the name of the user that runs the X server like x11:bob.
D. By a fixed UUID that is defined in the X11 configuration file.
E. By a device name like /dev/X11/xservers/1.
Answer: A