Spark and Hadoop Developer Certification Exam Guide
  • TechinautSep 27, 2022
  • Spark and Hadoop DeveloperSpark and Hadoop Developer

Spark and Hadoop Developer Certification Exam Guide

You must know all about the Exam format if you are about to sit for the Spark and Hadoop Developer Certification Exam. The exam is remote-proctored, hands-on, and based on Cloudera technologies. During the exam, you'll be given your CDH6 cluster that is pre-loaded with Spark 2.4. During the exam, you may not use any websites or external packages.

Scala

The Scala and Spark and Hadoop Developer Certification (CCA) exam is a hands-on exam that tests your skills using Spark and Scala. It is also an excellent opportunity to show your coding skills. The CCA exam requires candidates to solve several scenarios using Spark and Scala, as well as Impala and Hive tools. The test templates provide the skeleton for a solution, and the candidate needs to fill in the blanks with functional code.

The Spark exam includes eight to twelve scenario-based questions and a 120-minute time limit. It would be best if you allowed yourself 10 to 13 minutes to complete each problem. In addition, the exam requires you to use a VM, which means you won't have the help of an IDE. However, there is a text editor that you can use to code and execute programs. Alternatively, you can use a spark-shell, which allows you to write code and run it while it runs. This allows you to debug the code while it is running, and you can reuse it later.

Cloudera

If you want to become a Cloudera Certified Associate in Spark and Hadoop, you will need to prepare for the CCA175 exam. This exam requires hands-on experience with the various Cloudera technologies, including Spark. You will need to perform 8 to 12 hands-on scenarios using Big Data tools and pass the exam with at least a 70% score. The Cloudera CCA175 exam is two hours and costs USD $295. You will need a computer with a webcam and a decent internet connection to take the exam.

The CCA Spark and Hadoop Developer (CCA 175) certification exam is based on practical knowledge and requires candidates to complete 8-12 performance-based tasks on a Cloudera Enterprise cluster. The exam is in English and requires a minimum score of 70%. To take this certification exam, you should be familiar with the Spark and Hadoop programming languages and have experience transferring data between different systems. You should also be able to convert data values and use DDL for data analysis.

CCA Spark and Hadoop Developer certification

The CCA Spark and Hadoop Developer certification exam is a practical exam that tests your knowledge of Spark and the Hadoop ecosystem. The exam includes questions on HDFS, Spark applications, and Spark API distributed file systems. It costs $295 and requires candidates to have some experience in Spark and Hadoop.

The CCA exam will include eight to twelve questions. You can find sample questions online if you are unsure of what to expect. Sites like Techinaut.com will provide sample questions and explanations. They also include the directory location of actual exam questions.

Exam format

The Spark and Hadoop Developer Certification Exam (CCA-175) is the most demanding exam in the field. It consists of eight to twelve performance-based tasks based on the Cloudera Enterprise cluster. The test costs $295 and requires a 70% pass mark. It is available only in English and requires a license number and digital certificate.

The exam environment includes Apache Spark 2.4. The exam environment also includes Spark Shell for Scala and PySpark for Python. The Spark shell allows you to run scripts. It also has many useful features, especially when working with Avro files.

Salary scale

Depending on the position, a Certified Spark and Hadoop Developer (CSHD) can earn a salary of $93,454 for a developer and $129,422 for a data engineer. To understand how this salary scale is calculated, it's helpful to understand the skills and experience needed to achieve the certification. Also, check out the Whizlabs FAQs, which are located on the course page. In addition, Cloudera's website also has FAQs that provide useful information about the exam.

CCA175 is a practical exam with questions requiring you to use Spark and Hadoop tools. The exam environment comes with Spark 2.4 by default, and you can access it using Spark Shell for Scala or PySpark for Python. The Spark 2.4 environment also provides a number of useful features, such as support for Avro files.

Sample questions

To pass the Spark and Hadoop Developer Certification Exam, candidates must have sufficient knowledge of Spark and Hadoop technologies. The exam consists of eight to twelve multiple-choice questions, with hands-on tasks conducted on the Cloudera Enterprise cluster. It lasts up to 120 minutes and has a minimum passing score of 70%. This exam covers Spark, Hadoop MapReduce, and related skills. It also tests candidates' knowledge of Cloudera management and Hadoop Distributed File Systems.

The CCA Spark and Hadoop Developer certification exam requires knowledge of data values, using a datastore, generating reports and results, and writing code. The CCA Spark and Hadoop Developer Certification Exam Guide include five practice tests and sample questions. The practice tests are free to take and are designed to help the candidate prepare for the exam.

Conclusion
techinaut
Divyanshu Sharma

Founder and CEO, Techinaut

“Taking an Apache Spark and Hadoop Developer Certification Exam Guide is a great way to learn how to use these frameworks to solve a variety of problems. The exam covers the concepts of distributing large amounts of data, analyzing and manipulating it, and building applications using them. Spark is an open-source cluster computing framework.“