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Cloudera CCA175 Exam With Confidence Using Practice Dumps

Exam Code:
CCA175
Exam Name:
CCA Spark and Hadoop Developer Exam - Performance Based Scenarios
Certification:
Cloudera Certified Associate CCA
| Cloudera Certified Associate CCA
Vendor:
Questions:
96
Last Updated:
Jul 4, 2025
Exam Status:
Stable
Cloudera CCA175

CCA175: Cloudera Certified Associate CCA Exam 2025 Study Guide Pdf and Test Engine

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CCA Spark and Hadoop Developer Exam - Performance Based Scenarios Questions and Answers

Question 1

Problem Scenario 55 : You have been given below code snippet.

val pairRDDI = sc.parallelize(List( ("cat",2), ("cat", 5), ("book", 4),("cat", 12))) val pairRDD2 = sc.parallelize(List( ("cat",2), ("cup", 5), ("mouse", 4),("cat", 12)))

operation1

Write a correct code snippet for operationl which will produce desired output, shown below.

Array[(String, (Option[lnt], Option[lnt]))] = Array((book,(Some(4},None)), (mouse,(None,Some(4))), (cup,(None,Some(5))), (cat,(Some(2),Some(2)), (cat,(Some(2),Some(12))), (cat,(Some(5),Some(2))), (cat,(Some(5),Some(12))), (cat,(Some(12),Some(2))), (cat,(Some(12),Some(12)))J

Options:

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Question 2

Problem Scenario 54 : You have been given below code snippet.

val a = sc.parallelize(List("dog", "tiger", "lion", "cat", "panther", "eagle"))

val b = a.map(x => (x.length, x))

operation1

Write a correct code snippet for operationl which will produce desired output, shown below.

Array[(lnt, String)] = Array((4,lion), (7,panther), (3,dogcat), (5,tigereagle))

Options:

Question 3

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.

Options: