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Cloudera CCA175 Dumps Questions Answers

Exam Code: CCA175
Exam Name: CCA Spark and Hadoop Developer Exam
Last Update: May 27, 2024
96 Questions
Testing Engine (only)
Format: Testing Engine
PDF + Testing Engine
Format: PDF + Testing Engine
PDF (only)
Format: PDF

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Cloudera CCA175 CCA Spark and Hadoop Developer Exam Overview

The CCA175 CCA Spark and Hadoop Developer Exam is designed to test and certify a candidate's proficiency in developing applications using Apache Spark and Cloudera's distribution of Hadoop. It targets professionals who are:

  • Seeking to prove their skills in Big Data projects.
  • Aiming to work on Hadoop-based environments, specifically with Spark.

Candidates are assessed on key skills such as:

  • Data ingestion into Hadoop clusters.
  • Transforming data with Spark SQL and DataFrames.
  • Building, maintaining, and optimizing big data solutions.

This hands-on, practical exam requires candidates to solve real-world scenarios using a pre-configured Cloudera Enterprise cluster, ensuring that certified individuals are well-equipped for industry challenges.

  • Increased Earning Potential: Professionals with the CCA175 certification can expect a competitive edge in salary negotiations, as certified Big Data experts are in high demand. According to industry surveys, certified Hadoop developers earn significantly more than their non-certified peers.
  • Enhanced Job Opportunities: The CCA175 certification is recognized globally and opens doors to various roles such as Data Analyst, Hadoop Developer, or Big Data Engineer in top tech companies.
  • Career Advancement: The certification validates your expertise in Spark and Hadoop ecosystems, making you a prime candidate for promotions and leadership roles within data-centric organizations.
  • Professional Credibility: Holding a CCA175 certification demonstrates your commitment to professional development and mastery of cutting-edge technologies in the field of Big Data.
  • Exam Format: Hands-on, practical tasks using Cloudera's tools
  • Types of Questions: Performance-based (no multiple choice)
  • Number of Questions: 8 to 12 performance-based tasks
  • Total Exam Duration: 120 minutes
  • Understanding of the basic fundamentals of Linux and SQL.
  • Familiarity with command-line interface and navigating Linux filesystems.
  • Knowledge of programming in Scala or Python is recommended, as the exam may involve writing code in either language.
  • Experience with data ingestion using Sqoop and Flume, and data transformation using Spark.
  • No prior certifications are required to take the CCA175 exam.
  • Practical experience working with Hadoop Distributed File System (HDFS) and other components like Hive is beneficial.

The cost for the Cloudera CCA175 CCA Spark and Hadoop Developer Exam is $295. It's important to check the official Cloudera website for the most current pricing information, as exam fees can change.

  • Exam Fee: $295
  • Additional Costs: There may be extra charges for rescheduling or retaking the exam.
  • Registration: The fee typically includes one attempt at the exam.
  • Materials: Study materials are not included in the exam fee.

Please ensure you review any updates on costs directly from Cloudera to avoid any surprises.

The CCA175 Cloudera Certified Associate (CCA) Spark and Hadoop Developer Exam certification is valid for two years from the date of certification. To maintain the certification after it expires, you must pass the exam again. There is no separate renewal process; recertification requires retaking and passing the current version of the exam.

  • Validity Period: 2 years from certification date
  • Renewal Requirement: Pass current version of CCA175 exam

Guide to Prepare for the Cloudera CCA175 Exam with

  1. Understand the Exam Structure: Familiarize yourself with the exam pattern and types of questions by visiting, which offers a clear insight into what to expect on the test day.
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By leveraging as your primary resource, you'll be well-equipped to tackle the CCA Spark and Hadoop Developer Exam confidently and efficiently.

The ideal study time for the CCA175 exam varies based on your existing knowledge and learning speed. Here's a general guideline:

  • If you're already familiar with Spark and Hadoop, dedicating 70-100 hours of focused study might suffice.
  • For those new to these technologies, consider setting aside 120-150 hours to grasp the concepts thoroughly.

Remember to adjust this range to match your personal study habits and ensure you feel fully prepared before taking the exam.

Choosing ExamTrack for CCA175 CCA Spark and Hadoop Developer Exam preparation offers several benefits:

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  • Access to authentic questions and answers prepares you effectively for what to expect on the day of the exam.

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Accessing Free Trial of Cloudera CCA175 Exam Material

To get started with your preparation for the Cloudera CCA175 exam, follow these steps to access free trial materials provided by a reputable study guide provider.

  1. Navigate to the Website: Open your preferred web browser and go to the official website of the study guide provider offering resources for the Cloudera CCA175 exam.
  2. Search for Cloudera CCA175 Materials: Use the search function on the site to locate materials specifically designed for the Cloudera CCA175 exam. Look for options labeled as "Dependable Study Guide" or similar.
  3. Access Free Web-Based Online Questions: Many providers offer free web-based practice questions. Look for a section or link that mentions "Free Web Based Online Questions" and click on it to start practicing without any cost.
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Taking advantage of these free resources can significantly aid in your preparation for the Cloudera CCA175 exam. Remember, consistent practice and thorough study are key to success.

CCA175 Ratings & Reviews

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CCA175 Overview

Aspect Description
Exam Name CCA Spark and Hadoop Developer Exam
Exam Code CCA-175 (possibly retired)
Content Areas
  • Apache Spark and Hadoop Integration
  • Data Manipulation with Spark (RDDs, DataFrames)
  • Spark SQL
  • Developing Spark Applications
  • Hadoop Ecosystem Tools (HDFS, YARN, MapReduce interaction with Spark)
Question Format Primarily Performance-Based (may have included Multiple Choice in previous versions)
Number of Questions Approximately 8-12 (may vary depending on exam format)
Passing Score 70%
Exam Duration Information not readily available

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