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CCP Data Engineer (DE575) Practice Exam

CCP Data Engineer Exam (DE575)

About CCP Data Engineer Exam (DE575)

It is suggested that the candidate applying for the CCP Data Engineer Exam (DE575) should have in-depth experience in developing data engineering solutions and a high-level of mastery of the skills. Note there are no prerequisites to appear for the exam. The sole objective of the CCP Data Engineer Exam (DE575) was to identify talented data professionals looking to stand out and be recognized by employers looking for their skills. Apart from having hands-on experience it is also recommended that professional looking to achieve this certification start by taking Cloudera's Spark and Hadoop Developer training course.

Exam Pattern for CCP Data Engineer Exam (DE575)

  • Total Questions: 5–10 performance-based (hands-on) tasks on pre-configured Cloudera Enterprise cluster.
  • Length of Time 240 minutes
  • Passing Score: 70%
  • Language: English
  • Price: USD $400

Note, the candidates are given five to ten customer problems each with a unique, large data set, a CDH cluster, and four hours. In which case for each problem, the candidate must implement a technical solution with a high degree of precision that meets all the requirements. Candidates are required to use any tool or combination of tools on the cluster that are right for the job. For this the candidate must possess enough industry knowledge to analyze the problem and arrive at an optimal approach given the time allowed. Candidate is required to perform the task on a live cluster under rigorous conditions, including a time limit and while being watched by a proctor.

Evaluation, Score Reporting, and Certificate for CCP Data Engineer Exam (DE575) 

The exam is graded immediately upon submission and results are e-mailed with a score report as your exam ends. The exam score report displays the problem number for each problem attempted and thereafter a grade on that problem. In case the candidate fail a problem, the score report includes the criteria of failing like Records contain incorrect data or Incorrect file format. 

For pass case a second e-mail within a few days of the exam with the digital certificate as a PDF, tehlicense number, a Linkedin profile update, and a link to download your CCA logos for use in your personal business collateral and social media profiles

Skills required for CCP Data Engineer Exam (DE575)

Candidate must be well versed with the following skills to go for the certification exam,

Data Ingest

Skills to transfer data between external systems and cluster includes,

  •  Import and export data between an external RDBMS and your cluster, including the ability to import specific subsets, change the delimiter and file format of imported data during ingest, and alter the data access pattern or privileges.
  • Ingest real-time and near-real time (NRT) streaming data into HDFS, including the ability to distribute to multiple data sources and convert data on ingest from one format to another.
  • Load data into and out of HDFS using the Hadoop File System (FS) commands.

Transform, Stage, Store

For converting a set of data values in a given format stored in HDFS into new data values and/or a new data format and write them into HDFS or Hive/HCatalog includes the following skills,

  • Convert data from one file format to another
  • Write your data with compression
  • Convert data from one set of values to another (e.g., Lat/Long to Postal Address using an external library)
  • Change the data format of values in a data set
  • Purge bad records from a data set, e.g., null values
  • Deduplication and merge data
  • Denormalize data from multiple disparate data sets
  • Evolve an Avro or Parquet schema
  • Partition an existing data set according to one or more partition keys
  • Tune data for optimal query performance

Data Analysis

It requires to filter, sort, join, aggregate, and/or transform one or more data sets in a given format stored in HDFS to produce a specified result. All of these tasks may include reading from Parquet, Avro, JSON, delimited text, and natural language text. The queries will include complex data types like array, map, struct, the implementation of external libraries, partitioned data, compressed data, and require the use of metadata from Hive/HCatalog.

  • Should write a query to aggregate multiple rows of data
  • Should write a query to calculate aggregate statistics (e.g., average or sum)
  • Should write a query to filter data
  • Should write a query that produces ranked or sorted data
  • Should write a query that joins multiple data sets
  • Should be able to Read and/or create a Hive or an HCatalog table from existing data in HDFS


Required to create and execute various jobs and actions that move data towards greater value and use in a system. This includes following skills,

  • Required to create and execute a linear workflow with actions that include Hadoop jobs, Hive jobs, Pig jobs, custom actions, etc.
  • Required to create and execute a branching workflow with actions that include Hadoop jobs, Hive jobs, Pig jobs, custom action, etc.
  • Required to orchestrate a workflow to execute regularly at predefined times, including workflows that have data dependencies.

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  • Practice exam questions have been created on the basis of content outlined in the official documentation.
  • Each set in the practice exam contains unique questions built with the intent to provide real-time experience to the candidates as well as gain more confidence during exam preparation.
  • Practice exams help to self-evaluate against the exam content and work towards building strength to clear the exam.
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