Cloudera CCA Spark and Hadoop Developer Exam CCA175 Dumps in PDF

Problem Scenario 71 :
Write down a Spark script using Python,
In which it read a file "Content.txt" (On hdfs) with following content.
After that split each row as (key, value), where key is first word in line and entire line as value.
Filter out the empty lines.
And save this key value in "problem86" as Sequence file(On hdfs)
Part 2 : Save as sequence file , where key as null and entire line as value. Read back the stored sequence files.
Content.txt
Hello this is ABCTECH.com
This is XYZTECH.com
Apache Spark Training
This is Spark Learning Session

Spark is faster than MapReduce

Problem Scenario 12 : You have been given following mysql database details as well as other info.
user=retail_dba
password=cloudera
database=retail_db
jdbc URL = jdbc:mysql://quickstart:3306/retail_db
Please accomplish following.

1. Create a table in retailedb with following definition.
CREATE table departments_new (department_id int(11), department_name varchar(45),
created_date T1MESTAMP DEFAULT NOW());
2. Now isert records from departments table to departments_new
3. Now import data from departments_new table to hdfs.
4. Insert following 5 records in departmentsnew table. Insert into departments_new
values(110, "Civil" , null); Insert into departments_new values(111, "Mechanical" , null);
Insert into departments_new values(112, "Automobile" , null); Insert into departments_new
values(113, "Pharma" , null);
Insert into departments_new values(114, "Social Engineering" , null);
5. Now do the incremental import based on created_date column.

Problem Scenario 29 : Please accomplish the following exercises using HDFS command line options.

1. Create a directory in hdfs named hdfs_commands.
2. Create a file in hdfs named data.txt in hdfs_commands.
3. Now copy this data.txt file on local filesystem, however while copying file please make
sure file properties are not changed e.g. file permissions.
4. Now create a file in local directory named data_local.txt and move this file to hdfs in
hdfs_commands directory.
5. Create a file data_hdfs.txt in hdfs_commands directory and copy it to local file system.
6. Create a file in local filesystem named file1.txt and put it to hdfs

Problem Scenario 86 : In Continuation of previous question, please accomplish following activities.

1. Select Maximum, minimum, average , Standard Deviation, and total quantity.
2. Select minimum and maximum price for each product code.
3. Select Maximum, minimum, average , Standard Deviation, and total quantity for each
product code, hwoever make sure Average and Standard deviation will have maximum two
decimal values.
4. Select all the product code and average price only where product count is more than or
equal to 3.
5. Select maximum, minimum , average and total of all the products for each code. Also
produce the same across all the products.

Problem Scenario 9 : You have been given following mysql database details as well as other info.
user=retail_dba
password=cloudera
database=retail_db
jdbc URL = jdbc:mysql://quickstart:3306/retail_db
Please accomplish following.

1. Import departments table in a directory.
2. Again import departments table same directory (However, directory already exist hence
it should not overrride and append the results)
3. Also make sure your results fields are terminated by '|' and lines terminated by '\n\