CCA Data Analyst Exam (CCA159)
- Number of Questions: 8–12 performance-based (hands-on) tasks on a Cloudera Enterprise cluster. See below for full cluster configuration
- Time Limit: 120 minutes
- Passing Score: 70%
- Language: English
Exam Question Format
You are given eight to twelve customer problems with a unique large data set, a CDH cluster, and 120 minutes. For each problem, you must implement a technical solution with a high degree of precision that meets all the requirements. You must possess enough knowledge to analyze the problem and arrive at an optimal approach given the time allowed. You need to know what you should do and then do it on a live cluster, including a time limit and while being watched by a proctor.
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
Candidates for CCA Data Analyst can be SQL developers, data analysts, business intelligence specialists, developers, system architects, and database administrators. There are no prerequisites.
The CCA Data Analyst exam was created to identify talented SQL developers looking to stand out and be recognized by employers looking for these skills. It is recommended that those looking to achieve this certification start by taking Cloudera’s Data Analyst training course, which has the same objectives as the exam.
Provide Structure to the Data
Use Data Definition Language (DDL) statements to create or alter structures in the metastore for use by Hive and Impala.
Create tables using a variety of data types, delimiters, and file formats
Create new tables using existing tables to define the schema
Improve query performance by creating partitioned tables in the metastore
Alter tables to modify existing schema
Create views in order to simplify queries
Use Query Language (QL) statements in Hive and Impala to analyze data on the cluster.
Prepare reports using SELECT commands including unions and subqueries
Calculate aggregate statistics, such as sums and averages, during a query
Create queries against multiple data sources by using join commands
Transform the output format of queries by using built-in functions
- Perform queries across a group of rows using windowing functions
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Exam delivery and cluster information
CCA159 is a hands-on, practical exam using Cloudera technologies. Each user is given their own CDH6 (currently 6.1.1) cluster pre-loaded with Impala, HiveServer1 and HiveServer2.
Documentation Available online during the exam
Only the documentation, links, and resources listed above are accessible during the exam. All other websites, including Google/search functionality is disabled. You may not use notes or other exam aids.