CCA175 actual exam practice material help you to clear CCA175 test. If you want get professional and Cloudera real practice, recommend you to use our CCA175 actual test practice material latest version.
Every candidate studies differently, so Actual4test offers the CCA175 practice questions as a printable PDF, a desktop test engine, and an online test engine. All three cover the same 96 questions for the Cloudera CCA Spark and Hadoop Developer exam.
| Certification Vendor: | Cloudera |
|---|---|
| Exam Name: | Cloudera Certified Associate (CCA) Spark and Hadoop Developer Exam |
| Exam Number: | CCA175 |
| Certificate Validity Period: | 2 years |
| Exam Format: | Performance-based lab exam, Apache Spark, Hive, HDFS, Hands-on coding tasks, Impala |
| Exam Duration: | 120 minutes |
| Available Languages: | English |
| Real Exam Qty: | 12-15 performance-based tasks |
| Related Certifications: | Cloudera Data Platform Certifications Cloudera Certified Associate (CCA) Administrator |
| Exam Price: | $295 USD |
| Passing Score: | 70% |
| Recommended Training: | Cloudera Data Analyst / Spark Training Courses |
| Exam Registration: | Cloudera Certification Portal Kryterion Webassessor (exam delivery platform) |
| Sample Questions: | Cloudera CCA175 Sample Questions |
| Exam Way: | Online proctored, performance-based lab exam |
| Pre Condition: | No strict prerequisites, but strong familiarity with Hadoop ecosystem, SQL, and programming in Python or Scala is recommended. |
| Official Syllabus URL: | https://www.cloudera.com/services-and-support/certification.html |
| Section | Objectives |
|---|---|
| Topic 1: Data Processing with Apache Spark | - Spark core operations
|
| Topic 2: Data Storage and File Systems | - File formats
|
| Topic 3: Data Ingestion and ETL | - Data ingestion methods
|
| Topic 4: Data Analysis with Hive and Impala | - Hive querying
|
The CCA175 exam (CCA Spark and Hadoop Developer Exam) is the official Cloudera exam that leads to the Cloudera Certified Associate (CCA) certification, a credential at the Associate level. Related certifications include Cloudera Certified Associate (CCA) Administrator, Cloudera Data Platform Certifications. Actual4test provides 96 practice questions to help you prepare for it with confidence.
The CCA175 exam contains 12-15 performance-based tasks questions and gives you 120 minutes to finish them. Before exam day, divide the total time by the question count so you know the pace you need to keep, and flag difficult items instead of getting stuck on them. Running at least one full timed session in the Actual4test test engine is the best way to make that time pressure feel familiar.
You need 70% to pass, and the official registration fee is $295 USD. Keep in mind that a failed attempt means paying that fee in full again, so it pays to test yourself first. When your scores on the Actual4test timed practice tests stay consistently above the passing line, you are ready to book the exam.
No strict prerequisites, but strong familiarity with Hadoop ecosystem, SQL, and programming in Python or Scala is recommended. Requirements can change over time, so always double-check the latest eligibility rules before you register on the official Cloudera exam page.
You can book your exam through the official registration channels:
The exam is delivered in the following way: Online proctored, performance-based lab exam.
Cloudera recommends the following training options for this exam:
Official courses build the foundation, and the 96 CCA175 practice questions from Actual4test help you turn that knowledge into exam-day performance.
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The CCA175 syllabus is organized into 4 exam domains. Among the first three are Data Analysis with Hive and Impala, Data Processing with Apache Spark, Data Storage and File Systems. For the complete breakdown of topics and subtopics, see the Exam Topics section above.
Question 1
CORRECT TEXT
Problem Scenario 49 : You have been given below code snippet (do a sum of values by key}, with intermediate output.
val keysWithValuesList = Array("foo=A", "foo=A", "foo=A", "foo=A", "foo=B", "bar=C",
"bar=D", "bar=D")
val data = sc.parallelize(keysWithValuesl_ist}
//Create key value pairs
val kv = data.map(_.split("=")).map(v => (v(0), v(l))).cache()
val initialCount = 0;
val countByKey = kv.aggregateByKey(initialCount)(addToCounts, sumPartitionCounts)
Now define two functions (addToCounts, sumPartitionCounts) such, which will produce following results.
Output 1
countByKey.collect
res3: Array[(String, Int)] = Array((foo,5), (bar,3))
import scala.collection._
val initialSet = scala.collection.mutable.HashSet.empty[String]
val uniqueByKey = kv.aggregateByKey(initialSet)(addToSet, mergePartitionSets)
Now define two functions (addToSet, mergePartitionSets) such, which will produce following results.
Output 2:
uniqueByKey.collect
res4: Array[(String, scala.collection.mutable.HashSet[String])] = Array((foo,Set(B, A}},
(bar,Set(C, D}}}
Question 2
CORRECT TEXT
Problem Scenario 13 : 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_export (department_id int(11), department_name varchar(45), created_date T1MESTAMP DEFAULT NOWQ);
2. Now import the data from following directory into departments_export table,
/user/cloudera/departments new
Question 3
CORRECT TEXT
Problem Scenario 78 : 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 order table : (orderid , order_date , order_customer_id, order_status)
Columns of ordeMtems table : (order_item_td , order_item_order_id ,
order_item_product_id,
order_item_quantity,order_item_subtotal,order_item_product_price)
Please accomplish following activities.
1. Copy "retail_db.orders" and "retail_db.order_items" table to hdfs in respective directory p92_orders and p92_order_items .
2. Join these data using order_id in Spark and Python
3. Calculate total revenue perday and per customer
4. Calculate maximum revenue customer
Question 4
CORRECT TEXT
Problem Scenario 15 : 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 activities.
1. In mysql departments table please insert following record. Insert into departments values(9999, '"Data Science"1);
2. Now there is a downstream system which will process dumps of this file. However, system is designed the way that it can process only files if fields are enlcosed in(') single quote and separate of the field should be (-} and line needs to be terminated by : (colon).
3. If data itself contains the " (double quote } than it should be escaped by \.
4. Please import the departments table in a directory called departments_enclosedby and file should be able to process by downstream system.
Question 5
CORRECT TEXT
Problem Scenario 82 : You have been given table in Hive with following structure (Which you have created in previous exercise).
productid int code string name string quantity int price float
Using SparkSQL accomplish following activities.
1 . Select all the products name and quantity having quantity <= 2000
2 . Select name and price of the product having code as 'PEN'
3 . Select all the products, which name starts with PENCIL
4 . Select all products which "name" begins with 'P\ followed by any two characters, followed by space, followed by zero or more characters
Solutions:
| Question 1 Answer: Only visible for members | Question 2 Answer: Only visible for members | Question 3 Answer: Only visible for members | Question 4 Answer: Only visible for members | Question 5 Answer: Only visible for members |
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