What is the duration, language, and format of the CCA Spark and Hadoop Developer (CCA175) Exam
- Language of Exam: English
- Format: Performance-based hands-on tasks on Cloudera Enterprise Cluster
- Time Allowed: 120 minutes
- Passing score: 70%
- Number of questions: 8 to 10
CCA Spark and Hadoop Developer (CCA175) Exam Certification Path
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Cloudera CCA175 Exam Syllabus Topics:
| Topic | Details |
|---|
| Topic 1 | - Use Spark SQL to interact with the meta store programmatically in your applications
- Read and write files in a variety of file formats
|
| Topic 2 | - Understand the fundamentals of querying datasets in Spark
- Write the results back into HDFS using Spark
|
| Topic 3 | - Use meta store tables as an input source or an output sink for Spark applications
- Filter data using Spark
|
| Topic 4 | - Generate reports by using queries against loaded data
- Produce ranked or sorted data
|
| Topic 5 | - Perform standard extract, transform, load (ETL) processes on data using the Spark API
- Join disparate datasets using Spark
|
Reference: https://www.cloudera.com/about/training/certification/cdhhdp-certification/cca-spark.html
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