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Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Troubleshooting and Tuning8%- Performance optimization
- Query plans and execution analysis
Topic 2: Structured Streaming8%- Streaming concepts and operations
- Output modes and triggers
Topic 3: Apache Spark Architecture and Components28%- Spark execution model and hierarchy
- Fault tolerance and shuffle operations
- Lazy evaluation, transformations vs actions
- Driver and executor architecture
Topic 4: Using Spark SQL12%- Supported file formats and data sources
- Working with views and tables
- Querying data with Spark SQL
Topic 5: Developing DataFrame API Applications44%- Filtering, sorting, aggregation
- Column and row manipulation
- User-defined functions (UDFs)
- Reading/writing data and partitioning
- Handling missing data and duplicates

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