CCP Data Engineer Exam Structured Study Notes and
Topic Review
# CCP Data Engineer Exam (DE575) – Structured Study Notes & Topic Review
**Cloudera Certified Professional (CCP) – Data Engineer | 2026/2027**
## EXAM OVERVIEW & STRUCTURE
The **CCP Data Engineer Exam (DE575)** is a rigorous, performance-based
certification that validates mastery of data engineering skills on Cloudera's
platform .
| **Exam Detail** | **Information** |
|-----------------|-----------------|
| **Exam Code** | DE575 |
| **Number of Questions** | 5–10 performance-based tasks |
| **Time Limit** | 240 minutes (4 hours) |
| **Passing Score** | 70% |
| **Format** | Hands-on on a live CDH cluster with proctor monitoring |
| **Validity** | 3 years |
1
,**Key Differentiator:** This is a **performance-based** exam, not multiple-
choice. Candidates must solve real-world problems on a live cluster .
---
## REQUIRED SKILLS DOMAINS
### Domain 1: Data Ingest
Transfer data between external systems and your cluster .
**Key Skills:**
1. Import/export data between external RDBMS and your cluster
2. Import specific subsets, change delimiters and file formats during ingest
3. Ingest real-time and near-real-time (NRT) streaming data into HDFS
4. Distribute to multiple data sources and convert data on ingest
5. Load data into and out of HDFS using Hadoop FS commands
---
2
,### Domain 2: Transform, Stage, Store
Convert data values and/or formats stored in HDFS into new forms .
**Key Skills:**
1. Convert data from one file format to another
2. Write data with compression
3. Convert data from one set of values to another (e.g., Lat/Long to Address)
4. Purge bad records (e.g., null values)
5. Deduplicate and merge data
6. Denormalize data from multiple disparate data sets
7. Evolve an Avro or Parquet schema
8. Partition data sets by one or more partition keys
9. Tune data for optimal query performance
---
### Domain 3: Data Analysis
Filter, sort, join, aggregate, and transform one or more data sets .
3
, **Key Skills:**
1. Write queries to aggregate multiple rows of data
2. Calculate aggregate statistics (average, sum)
3. Filter data
4. Produce ranked or sorted data
5. Join multiple data sets
6. Read and/or create Hive/HCatalog tables from existing data in HDFS
**Data Formats:** Parquet, Avro, JSON, delimited text, natural language text.
Complex data types: array, map, struct .
---
### Domain 4: Workflow
Create and execute jobs and actions that move data toward greater value .
**Key Skills:**
4
Topic Review
# CCP Data Engineer Exam (DE575) – Structured Study Notes & Topic Review
**Cloudera Certified Professional (CCP) – Data Engineer | 2026/2027**
## EXAM OVERVIEW & STRUCTURE
The **CCP Data Engineer Exam (DE575)** is a rigorous, performance-based
certification that validates mastery of data engineering skills on Cloudera's
platform .
| **Exam Detail** | **Information** |
|-----------------|-----------------|
| **Exam Code** | DE575 |
| **Number of Questions** | 5–10 performance-based tasks |
| **Time Limit** | 240 minutes (4 hours) |
| **Passing Score** | 70% |
| **Format** | Hands-on on a live CDH cluster with proctor monitoring |
| **Validity** | 3 years |
1
,**Key Differentiator:** This is a **performance-based** exam, not multiple-
choice. Candidates must solve real-world problems on a live cluster .
---
## REQUIRED SKILLS DOMAINS
### Domain 1: Data Ingest
Transfer data between external systems and your cluster .
**Key Skills:**
1. Import/export data between external RDBMS and your cluster
2. Import specific subsets, change delimiters and file formats during ingest
3. Ingest real-time and near-real-time (NRT) streaming data into HDFS
4. Distribute to multiple data sources and convert data on ingest
5. Load data into and out of HDFS using Hadoop FS commands
---
2
,### Domain 2: Transform, Stage, Store
Convert data values and/or formats stored in HDFS into new forms .
**Key Skills:**
1. Convert data from one file format to another
2. Write data with compression
3. Convert data from one set of values to another (e.g., Lat/Long to Address)
4. Purge bad records (e.g., null values)
5. Deduplicate and merge data
6. Denormalize data from multiple disparate data sets
7. Evolve an Avro or Parquet schema
8. Partition data sets by one or more partition keys
9. Tune data for optimal query performance
---
### Domain 3: Data Analysis
Filter, sort, join, aggregate, and transform one or more data sets .
3
, **Key Skills:**
1. Write queries to aggregate multiple rows of data
2. Calculate aggregate statistics (average, sum)
3. Filter data
4. Produce ranked or sorted data
5. Join multiple data sets
6. Read and/or create Hive/HCatalog tables from existing data in HDFS
**Data Formats:** Parquet, Avro, JSON, delimited text, natural language text.
Complex data types: array, map, struct .
---
### Domain 4: Workflow
Create and execute jobs and actions that move data toward greater value .
**Key Skills:**
4
