CCA Spark and Hadoop Developer Exam
Last Update November 22, 2024
Total Questions : 96
Our Cloudera Certified Associate CCA CCA175 exam questions and answers cover all the topics of the latest CCA Spark and Hadoop Developer Exam exam, See the topics listed below. We also provide Cloudera CCA175 exam dumps with accurate exam content to help you prepare for the exam quickly and easily. Additionally, we offer a range of Cloudera CCA175 resources to help you understand the topics covered in the exam, such as Cloudera Certified Associate CCA video tutorials, CCA175 study guides, and CCA175 practice exams. With these resources, you can develop a better understanding of the topics covered in the exam and be better prepared for success.
| Exam Name | CCA Spark and Hadoop Developer Exam |
| Exam Code | CCA175 |
| Actual Exam Duration | The duration of the Cloudera CCA175 exam is 120 minutes (2 hours). |
| Expected no. of Questions in Actual Exam | 8-12 |
| What exam is all about | Cloudera CCA175 is an exam that tests the candidate's skills and knowledge in Apache Hadoop ecosystem components such as HDFS, MapReduce, Hive, Sqoop, Flume, and Spark. The exam is designed to evaluate the candidate's ability to work with large datasets, perform data analysis, and develop solutions using Hadoop technologies. The exam consists of eight to twelve performance-based tasks that require the candidate to write code and solve real-world problems using Hadoop tools and techniques. The exam is intended for developers, data engineers, and data analysts who work with Hadoop technologies and want to validate their skills and knowledge. |
| Passing Score required | The passing score required in the Cloudera CCA175 exam is 70%. This means that you need to answer at least 70% of the questions correctly to pass the exam and earn the certification. The exam consists of eight to twelve performance-based tasks that test your skills in data ingestion, transformation, and analysis using Hadoop and Spark. You have 120 minutes to complete the exam, and you can use any programming language or tool that is supported by Cloudera. To prepare for the exam, you should have a good understanding of Hadoop and Spark concepts, as well as hands-on experience in working with these technologies. |
| Competency Level required | Based on the information available on the Cloudera website, the CCA175 exam is designed for individuals who have a good understanding of Hadoop ecosystem components and their functionality, as well as experience with data ingestion, transformation, and analysis using Hadoop tools such as Hive, Pig, Sqoop, and Flume. Candidates should also have experience with programming languages such as Java, Python, and Scala. The exam requires candidates to demonstrate their ability to write, maintain, and optimize Hadoop code in a real-world scenario. Therefore, a high level of competency and practical experience is required to pass the CCA175 exam. |
| Questions Format | The Cloudera CCA175 exam consists of a set of performance-based tasks that require candidates to solve real-world problems using Apache Hadoop and related technologies. The exam tasks are designed to test the candidate's ability to work with Hadoop components such as HDFS, MapReduce, Hive, Pig, Sqoop, Flume, and Oozie. The exam questions are presented in a format that requires the candidate to write code or commands to solve the given problem. The exam tasks may involve data ingestion, data processing, data analysis, and data transformation using Hadoop and related tools. The exam questions may also require the candidate to troubleshoot and debug Hadoop jobs and configurations. Overall, the Cloudera CCA175 exam tests the candidate's practical skills and knowledge of Hadoop and related technologies. |
| Delivery of Exam | The Cloudera CCA175 exam is a performance-based exam that requires candidates to perform tasks on a Cloudera cluster. The exam is delivered through a virtual machine environment, and candidates are required to complete a set of tasks within a given time frame. The exam is designed to test the candidate's ability to work with Hadoop, Spark, and other big data technologies. |
| Language offered | The Cloudera CCA175 exam is offered in the English language. All the exam questions, instructions, and materials are provided in English. |
| Cost of exam | You can visit the official Cloudera website or contact their customer support to get the latest pricing information. |
| Target Audience | The Cloudera CCA175 certification is designed for professionals who want to demonstrate their skills in data ingestion, transformation, and analysis using Apache Hadoop and Spark. The target audience for this certification includes: 1. Data Engineers: Data engineers who are responsible for designing, building, and maintaining data pipelines and data processing systems using Hadoop and Spark. 2. Data Analysts: Data analysts who want to demonstrate their skills in data analysis using Hadoop and Spark. 3. Data Scientists: Data scientists who want to demonstrate their skills in data processing and analysis using Hadoop and Spark. 4. Big Data Developers: Big data developers who want to demonstrate their skills in developing big data applications using Hadoop and Spark. 5. IT Professionals: IT professionals who want to demonstrate their skills in managing and maintaining Hadoop and Spark clusters. 6. Software Developers: Software developers who want to demonstrate their skills in developing applications that use Hadoop and Spark. Overall, the Cloudera CCA175 certification is ideal for professionals who want to enhance their skills in big data processing and analysis using Hadoop and Spark. |
| Average Salary in Market | The average salary for a Cloudera Certified Developer for Apache Hadoop (CCDH) is around $100,000 per year. The salary may vary depending on the location, experience, and job role. |
| Testing Provider | You can visit the Cloudera website to register for the exam and find authorized training partners who can help you prepare for the exam. |
| Recommended Experience | Cloudera recommends the following experience for the CCA175 exam: 1. Experience with Hadoop and its ecosystem components such as HDFS, MapReduce, Hive, Pig, Sqoop, Flume, Oozie, and Spark. 2. Experience with programming languages such as Python, Scala, and Java. 3. Experience with SQL and relational databases. 4. Experience with Linux command-line interface and shell scripting. 5. Experience with data ingestion, transformation, and analysis. 6. Experience with data processing and data storage. 7. Experience with data visualization and reporting. It is also recommended to have hands-on experience with Cloudera's CDH (Cloudera Distribution of Hadoop) and to have completed Cloudera's Hadoop Developer training course. |
| Prerequisite | The prerequisites for the Cloudera CCA175 exam are as follows:
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| Retirement (If Applicable) | it is recommended to check the official Cloudera website or contact their customer support for the most up-to-date information on exam retirement dates. |
| Certification Track (RoadMap): | The Cloudera CCA175 exam is a certification exam that tests the skills and knowledge of individuals in the field of big data and Hadoop. The certification track or roadmap for the Cloudera CCA175 exam includes the following steps: 1. Preparation: Before taking the exam, individuals should prepare by studying the exam objectives, reviewing relevant documentation, and practicing with sample questions and exercises. 2. Registration: Individuals can register for the exam through the Cloudera website or through a testing center. 3. Exam Format: The Cloudera CCA175 exam is a hands-on, practical exam that requires individuals to perform tasks using Hadoop and related technologies. 4. Exam Content: The exam covers topics such as data ingestion, data transformation, data analysis, and data storage using Hadoop and related technologies. 5. Passing Score: To pass the exam, individuals must achieve a minimum score of 70%. 6. Certification: Upon passing the exam, individuals will receive the Cloudera Certified Associate (CCA) certification, which is recognized as a standard of excellence in the field of big data and Hadoop. 7. Continuing Education: To maintain their certification, individuals must complete continuing education requirements, which may include attending training courses, participating in webinars, or passing additional exams. |
| Official Information | https://www.cloudera.com/about/training/certification/cdhhdp-certification/cca-spark.html |
| Take Self-Assessment | Use Cloudera CCA175 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure |
| Section | Weight | Objectives |
|---|---|---|
| Transform, Stage, and Store |
Convert a set of data values in a given format stored in HDFS into new data values or a new data format and write them into HDFS.
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| Data Analysis |
Use Spark SQL to interact with the metastore programmatically in your applications. Generate reports by using queries against loaded data.
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| Configuration |
This is a practical exam and the candidate should be familiar with all aspects of generating a result, not just writing code.
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TESTED 22 Nov 2024
