Certification exams change, and outdated study material can quietly sabotage your score. Dumpkiller keeps its CCA175 practice questions aligned with the current Cloudera CCA Spark and Hadoop Developer exam, with free updates for 365 days through 2026 and beyond.
Cloudera CCA175 Exam Overview:
| Certification Vendor: | Cloudera |
|---|---|
| Exam Name: | CCA Spark and Hadoop Developer Exam |
| Exam Number: | CCA175 |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | 8-12 |
| Passing Score: | 70% |
| Related Certifications: | CCA Data Analyst CCP Data Engineer |
| Exam Format: | Performance-based, Hands-on tasks, Live cluster environment |
| Exam Price: | USD 295 |
| Available Languages: | English |
| Recommended Training: | Cloudera Developer Training for Spark and Hadoop |
| Exam Registration: | Cloudera Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored, delivered remotely via secure browser |
| Pre Condition: | No formal prerequisites; recommended experience with Scala/Python, HDFS, Hive, Sqoop, Flume, and Spark |
| Official Syllabus URL: | https://www.cloudera.com/about/training/certification/cdhhdp-certification/cca-spark.html |
Cloudera CCA175 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Application Configuration and Execution | 10% | - Use Spark Shell (Scala/PySpark) for interactive analysis - Submit Spark applications via spark-submit - Set memory, cores, and execution parameters |
| Transform, Stage, and Store Data | 35% | - Perform ETL operations using Spark API - Load data from HDFS into Spark - Write transformed results back to HDFS - Read/write various file formats (CSV, JSON, Avro, Parquet, etc.) |
| Data Analysis | 35% | - Use Spark SQL and interact with Hive metastore - Join multiple datasets - Filter and sort datasets - Perform aggregations and calculations - Create and query temporary views and tables |
| Data Ingestion | 20% | - Ingest data into HDFS using Flume - Ingest data into HDFS using Sqoop - Import/export data between relational databases and HDFS |
What Candidates Ask About the Cloudera CCA175 Exam
Can you give me an overview of the CCA175 exam?
The Cloudera CCA Spark and Hadoop Developer exam (code: CCA175) is the official Cloudera exam that leads to the Cloudera Certified Associate (CCA) Spark and Hadoop Developer certification. It sits at the Associate level of the Cloudera certification track. It is also connected with related credentials such as CCP Data Engineer, CCA Data Analyst. Passing it proves to employers that your skills have been validated by Cloudera itself, which is why the CCA175 credential keeps showing up in job postings.
How many questions are in the CCA175 exam, and how long does it take?
The Cloudera CCA Spark and Hadoop Developer exam gives you 120 minutes to work through 8-12. Pacing matters more than most candidates expect, so before exam day, run at least one full timed session in the Dumpkiller test engine to learn how long you can afford per question. If an item stalls you, flag it and move on — coming back later beats burning five minutes on a single question.
What score do I need to pass the CCA175 exam, and how much does it cost?
The passing score for the Cloudera CCA Spark and Hadoop Developer exam is 70%, and the official registration fee is USD 295. Remember that a failed attempt means paying that fee in full again, so a timed self-assessment with Dumpkiller practice questions about a week before your exam date is a cheap way to confirm you are scoring comfortably above 70%.
Are there any prerequisites for the CCA175 exam?
According to Cloudera, the following applies: No formal prerequisites; recommended experience with Scala/Python, HDFS, Hive, Sqoop, Flume, and Spark. Certification policies do change from time to time, so confirm the latest requirements on the official exam page at https://www.cloudera.com/about/training/certification/cdhhdp-certification/cca-spark.html before you register.
How do I register for the CCA175 exam?
You can book your Cloudera CCA Spark and Hadoop Developer exam through the official channels below:
Depending on availability in your region, the exam is delivered as Online proctored, delivered remotely via secure browser.
What official training does Cloudera recommend for the CCA175 exam?
Cloudera lists the following training options for Cloudera CCA Spark and Hadoop Developer candidates:
Official courses build a solid foundation, and pairing them with the 96 practice questions from Dumpkiller shows you how ready you really are before you spend money on the exam itself.
Can I try the CCA175 practice questions before buying?
Yes. Dumpkiller offers a free CCA175 PDF demo so you can review the question style, difficulty, and explanations before committing to anything. After purchase, your Cloudera CCA Spark and Hadoop Developer material includes 365 days of free updates, and if your product expires after that, you can extend the update service at a 50% discount from your member zone.
What happens if I do not pass the CCA175 exam, and how is my order delivered?
If you take the corresponding CCA175 exam within 60 days of your purchase and do not pass, you can apply for a full refund under our 100% Money Back Guarantee, subject to a few conditions: the failed exam must be the one matching your purchase; sitting the exam within 3 days of purchase does not qualify, since that leaves too little preparation time; downloading the material without actually taking the exam does not qualify; free materials and expired orders are excluded; and the candidate name must match the payer name. To apply, send a scanned copy of your enrollment slip together with your official Score Report (PDF) within 2 days after the exam, and claims are processed within 7 days. If you would rather not take a refund, you can exchange your purchase for two free products of equal value while keeping the update service on the product you originally bought. As for delivery, everything is an instant download: your products are sent to your email within one minute of payment — contact customer service if nothing arrives within 2 hours — and there is no limit on the number of computers you can install the software on.
What topics are covered in the CCA175 exam?
The official Cloudera CCA Spark and Hadoop Developer syllabus is organized into 4 main domains. The first three are Data Analysis (35%), Application Configuration and Execution (10%), and Data Ingestion (20%). For the full domain-by-domain breakdown, see the complete Exam Topics outline above.
Cloudera CCA Spark and Hadoop Developer Sample Questions:
Question 1
CORRECT TEXT
Problem Scenario 48 : You have been given below Python code snippet, with intermediate output.
We want to take a list of records about people and then we want to sum up their ages and count them.
So for this example the type in the RDD will be a Dictionary in the format of {name: NAME, age:AGE, gender:GENDER}.
The result type will be a tuple that looks like so (Sum of Ages, Count) people = [] people.append({'name':'Amit', 'age':45,'gender':'M'}) people.append({'name':'Ganga', 'age':43,'gender':'F'})
people.append({'name':'John', 'age':28,'gender':'M'})
people.append({'name':'Lolita', 'age':33,'gender':'F'})
people.append({'name':'Dont Know', 'age':18,'gender':'T'})
peopleRdd=sc.parallelize(people) //Create an RDD
peopleRdd.aggregate((0,0), seqOp, combOp) //Output of above line : 167, 5)
Now define two operation seqOp and combOp , such that
seqOp : Sum the age of all people as well count them, in each partition. combOp :
Combine results from all partitions.
Question 2
CORRECT TEXT
Problem Scenario 67 : You have been given below code snippet.
lines = sc.parallelize(['lts fun to have fun,','but you have to know how.'])
M = lines.map( lambda x: x.replace(',7 ').replace('.',' 'J.replaceC-V ').lower()) r2 = r1.flatMap(lambda x: x.split()) r3 = r2.map(lambda x: (x, 1)) operation1
r5 = r4.map(lambda x:(x[1],x[0]))
r6 = r5.sortByKey(ascending=False)
r6.take(20)
Write a correct code snippet for operationl which will produce desired output, shown below.
[(2, 'fun'), (2, 'to'), (2, 'have'), (1, its'), (1, 'know1), (1, 'how1), (1, 'you'), (1, 'but')]
Question 3
CORRECT TEXT
Problem Scenario 61 : You have been given below code snippet.
val a = sc.parallelize(List("dog", "salmon", "salmon", "rat", "elephant"), 3) val b = a.keyBy(_.length) val c = sc.parallelize(List("dog","cat","gnu","salmon","rabbit","turkey","wolf","bear","bee"), 3) val d = c.keyBy(_.length) operationl
Write a correct code snippet for operationl which will produce desired output, shown below.
Array[(lnt, (String, Option[String]}}] = Array((6,(salmon,Some(salmon))),
(6,(salmon,Some(rabbit))),
(6,(salmon,Some(turkey))), (6,(salmon,Some(salmon))), (6,(salmon,Some(rabbit))),
(6,(salmon,Some(turkey))), (3,(dog,Some(dog))), (3,(dog,Some(cat))),
(3,(dog,Some(dog))), (3,(dog,Some(bee))), (3,(rat,Some(dogg)), (3,(rat,Some(cat)j),
(3,(rat.Some(gnu))). (3,(rat,Some(bee))), (8,(elephant,None)))
Question 4
CORRECT TEXT
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()
Question 5
CORRECT TEXT
Problem Scenario 63 : You have been given below code snippet.
val a = sc.parallelize(List("dog", "tiger", "lion", "cat", "panther", "eagle"), 2) 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), (3,dogcat), (7,panther), (5,tigereagle))
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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