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Prerequisites for the Databricks Associate Developer Apache Spark Exam?
- You need to be able to complete the individual data manipulation task with the help of the Spark DataFrameAPI.
- If you have a basic understanding of the architecture, you can use adaptive query execution.
Certification Topics of Databricks Associate Developer Apache Spark Exam?
Then, Spark Architecture: Applied understanding (11%)
Lastly, Spark DataFrame API Applications (72%)
To begin with, Spark Architecture: Conceptual understanding (17%)
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Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:
| Section | Objectives |
| Topic 1: Apache Spark Architecture and Fundamentals | - Spark architecture overview
- 1. Driver, Executors, Cluster Manager
- 2. Job execution model
|
| Topic 2: Spark SQL | - SQL queries in Spark
- 1. views and tables
- 2. query optimization basics
|
| Topic 3: Spark DataFrame API | - DataFrame operations
- 1. joins and aggregations
- 2. select, filter, withColumn
|
| Topic 4: Transformations and Actions | - Core RDD/DataFrame operations
- 1. lazy evaluation
- 2. actions vs transformations
|
| Topic 5: Data Ingestion and Storage Formats | - Reading and writing data
- 1. schema inference and enforcement
- 2. Parquet, JSON, CSV
|
| Topic 6: Performance and Optimization Basics | - Optimization concepts
- 1. caching and persistence
- 2. partitioning and shuffling
|