CCA Spark and Hadoop Developer Exam (CCA175)
- Number of Questions: 8–12 performance-based (hands-on) tasks on Cloudera Enterprise cluster. See below for full cluster configuration
- Time Limit: 120 minutes
- Passing Score: 70%
- Language: English
Exam Question Format
Each CCA question requires you to solve a particular scenario. In some cases, a tool such as Impala or Hive may be used. In most cases, coding is required.
Evaluation, Score Reporting, and Certificate
Your exam is graded immediately upon submission and you are e-mailed a score report within three days of your exam. Your score report displays the problem number for each problem you attempted and a grade on that problem. If you fail a problem, the score report includes the criteria you failed (e.g., “Records contain incorrect data” or “Incorrect file format”). We do not report more information in order to protect the exam content. Read more about reviewing exam content on the FAQ.
If you pass the exam, you receive a second e-mail within a week of your exam with your digital certificate as a PDF and your license number.
Audience and Prerequisites
There are no prerequisites required to take any Cloudera certification exam. The CCA Spark and Hadoop Developer exam (CCA175) follows the same objectives as DENG-254: Preparing with Cloudera Data Engineering and the training course is an excellent preparation for the exam.
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.
Load data from HDFS for use in Spark applications
Write the results back into HDFS using Spark
Read and write files in a variety of file formats
- Perform standard extract, transform, load (ETL) processes on data using the Spark API
Use Spark SQL to interact with the metastore programmatically in your applications. Generate reports by using queries against loaded data.
Use metastore tables as an input source or an output sink for Spark applications
Understand the fundamentals of querying datasets in Spark
Filter data using Spark
Write queries that calculate aggregate statistics
Join disparate datasets using Spark
- Produce ranked or sorted data
This is a practical exam and the candidate should be familiar with all aspects of generating a result, not just writing code.
- Supply command-line options to change your application configuration, such as increasing available memory
Exam delivery and cluster information
CCA175 is a remote-proctored exam available anywhere, anytime. See the FAQ for more information and system requirements.
CCA175 is a hands-on, practical exam using Cloudera technologies. Each user is given their own CDH6 (currently 6.1.1) cluster pre-loaded with Spark 2.4.
All websites, including Google/search functionality and access to Spark external packages is disabled. You may not use notes or other exam aids.