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  • Exam Name: CCA Spark and Hadoop Developer Exam
  • Last Update: 22-Jun-2024
  • Questions and Answers: 96
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CCA175 Questions and Answers

Question # 1

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

Question # 2

Problem Scenario 28 : You need to implement near real time solutions for collecting information when submitted in file with below

Data

echo "IBM,100,20160104" >> /tmp/spooldir2/.bb.txt

echo "IBM,103,20160105" >> /tmp/spooldir2/.bb.txt

mv /tmp/spooldir2/.bb.txt /tmp/spooldir2/bb.txt

After few mins

echo "IBM,100.2,20160104" >> /tmp/spooldir2/.dr.txt

echo "IBM,103.1,20160105" >> /tmp/spooldir2/.dr.txt

mv /tmp/spooldir2/.dr.txt /tmp/spooldir2/dr.txt

You have been given below directory location (if not available than create it) /tmp/spooldir2 .

As soon as file committed in this directory that needs to be available in hdfs in /tmp/flume/primary as well as /tmp/flume/secondary location.

However, note that/tmp/flume/secondary is optional, if transaction failed which writes in this directory need not to be rollback.

Write a flume configuration file named flumeS.conf and use it to load data in hdfs with following additional properties .

1. Spool /tmp/spooldir2 directory

2. File prefix in hdfs sholuld be events

3. File suffix should be .log

4. If file is not committed and in use than it should have _ as prefix.

5. Data should be written as text to hdfs

Question # 3

Problem Scenario 35 : You have been given a file named spark7/EmployeeName.csv (id,name).

EmployeeName.csv

E01,Lokesh

E02,Bhupesh

E03,Amit

E04,Ratan

E05,Dinesh

E06,Pavan

E07,Tejas

E08,Sheela

E09,Kumar

E10,Venkat

1. Load this file from hdfs and sort it by name and save it back as (id,name) in results directory. However, make sure while saving it should be able to write In a single file.

Question # 4

Problem Scenario 3: You have been given MySQL DB with following details.

user=retail_dba

password=cloudera

database=retail_db

table=retail_db.categories

jdbc URL = jdbc:mysql://quickstart:3306/retail_db

Please accomplish following activities.

1. Import data from categories table, where category=22 (Data should be stored in categories subset)

2. Import data from categories table, where category>22 (Data should be stored in categories_subset_2)

3. Import data from categories table, where category between 1 and 22 (Data should be stored in categories_subset_3)

4. While importing catagories data change the delimiter to '|' (Data should be stored in categories_subset_S)

5. Importing data from catagories table and restrict the import to category_name,category id columns only with delimiter as '|'

6. Add null values in the table using below SQL statement ALTER TABLE categories modify category_department_id int(11); INSERT INTO categories values (eO.NULL.'TESTING');

7. Importing data from catagories table (In categories_subset_17 directory) using '|' delimiter and categoryjd between 1 and 61 and encode null values for both string and non string columns.

8. Import entire schema retail_db in a directory categories_subset_all_tables

Question # 5

Problem Scenario 91 : You have been given data in json format as below.

{"first_name":"Ankit", "last_name":"Jain"}

{"first_name":"Amir", "last_name":"Khan"}

{"first_name":"Rajesh", "last_name":"Khanna"}

{"first_name":"Priynka", "last_name":"Chopra"}

{"first_name":"Kareena", "last_name":"Kapoor"}

{"first_name":"Lokesh", "last_name":"Yadav"}

Do the following activity

1. create employee.json tile locally.

2. Load this tile on hdfs

3. Register this data as a temp table in Spark using Python.

4. Write select query and print this data.

5. Now save back this selected data in json format.

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