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Cloudera CCA175 Exam Dumps Questions and Answers

Exam Code: CCA175
Vendor: Cloudera
Last Update: May 6, 2024
Questions: 96
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CCA Spark and Hadoop Developer Exam Questions and Answers

Questions 1

Problem Scenario 87 : You have been given below three files

product.csv (Create this file in hdfs)

productID,productCode,name,quantity,price,supplierid

1001,PEN,Pen Red,5000,1.23,501

1002,PEN,Pen Blue,8000,1.25,501

1003,PEN,Pen Black,2000,1.25,501

1004,PEC,Pencil 2B,10000,0.48,502

1005,PEC,Pencil 2H,8000,0.49,502

1006,PEC,Pencil HB,0,9999.99,502

2001,PEC,Pencil 3B,500,0.52,501

2002,PEC,Pencil 4B,200,0.62,501

2003,PEC,Pencil 5B,100,0.73,501

2004,PEC,Pencil 6B,500,0.47,502

supplier.csv

supplierid,name,phone

501,ABC Traders,88881111

502,XYZ Company,88882222

503,QQ Corp,88883333

products_suppliers.csv

productID,supplierID

2001,501

2002,501

2003,501

2004,502

2001,503

Now accomplish all the queries given in solution.

Select product, its price , its supplier name where product price is less than 0.6 using SparkSQL

Options:

Questions 2

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()

Options:

Questions 3

Problem Scenario 21 : You have been given log generating service as below.

startjogs (It will generate continuous logs)

tailjogs (You can check , what logs are being generated)

stopjogs (It will stop the log service)

Path where logs are generated using above service : /opt/gen_logs/logs/access.log

Now write a flume configuration file named flumel.conf , using that configuration file dumps logs in HDFS file system in a directory called flumel. Flume channel should have following property as well. After every 100 message it should be committed, use non-durable/faster channel and it should be able to hold maximum 1000 events

Solution :

Step 1 : Create flume configuration file, with below configuration for source, sink and channel.

#Define source , sink , channel and agent,

agent1 .sources = source1

agent1 .sinks = sink1

agent1.channels = channel1

# Describe/configure source1

agent1 .sources.source1.type = exec

agent1.sources.source1.command = tail -F /opt/gen logs/logs/access.log

## Describe sinkl

agentl .sinks.sinkl.channel = memory-channel

agentl .sinks.sinkl .type = hdfs

agentl .sinks.sink1.hdfs.path = flumel

agentl .sinks.sinkl.hdfs.fileType = Data Stream

# Now we need to define channell property.

agent1.channels.channel1.type = memory

agent1.channels.channell.capacity = 1000

agent1.channels.channell.transactionCapacity = 100

# Bind the source and sink to the channel

agent1.sources.source1.channels = channel1

agent1.sinks.sink1.channel = channel1

Step 2 : Run below command which will use this configuration file and append data in hdfs.

Start log service using : startjogs

Start flume service:

flume-ng agent -conf /home/cloudera/flumeconf -conf-file /home/cloudera/flumeconf/flumel.conf-Dflume.root.logger=DEBUG,INFO,console

Wait for few mins and than stop log service.

Stop_logs

Options: