Databricks Certified Associate Developer for Apache Spark (Python) Practice Test
Gana confianza para Databricks Certified Associate Developer for Apache Spark (Python). Practica los conceptos, comprende las respuestas y refuerza tus conocimientos pregunta a pregunta.
Probar una preguntaDescripción y detalles del examen
The Databricks Certified Associate Developer for Apache Spark Python exam validates a candidate's ability to use the Spark DataFrame API and PySpark to perform data engineering tasks. This 36-question assessment tests practical knowledge of core Spark architecture, DataFrame operations, and Python-specific implementations within the Spark ecosystem. It is designed for data engineers, data scientists, and developers who build and maintain production-level data processing applications using PySpark. Successful candidates demonstrate proficiency in writing efficient, scalable Spark code for data transformation, aggregation, and analysis. Passing this exam signifies a foundational, hands-on competency in applying Spark's distributed computing principles to solve real-world data problems, making it a recognized credential for professionals working with big data pipelines.
Preguntas de Muestra
Elige una respuesta y consulta la explicación para ver cómo funciona la práctica.
A developer needs to write DataFrame orders to a Parquet path, overwrite existing data, and physically partition the output by country for later pruning. Which PySpark write pattern is correct?
A claims enrichment pipeline groups 420 GB by policy_id. The team changed spark.sql.shuffle.partitions from 200 to 24 to reduce small files, and now several reducers run much longer than the rest. What does this setting control?
A team creates a persistent Spark SQL table for orders and frequently filters by country while ordering recent rows by ingestion time inside each partition. Which approach best supports retrieval without changing query semantics?
A notebook creates two SparkSession objects for a claims enrichment experiment, each with a different warehouse directory. The second object appears to reuse the same application and catalog state. Which explanation is most accurate?
A CSV-based orders ingestion job uses Spark SQL and occasionally receives rows with embedded delimiters and malformed records. Which direction is most defensible before querying the data?
Oportunidades profesionales y salario
Los rangos son cifras del mercado de EE. UU. salvo que se muestre un rango local.
Qué temas cubre este examen
Usa las ponderaciones publicadas de los dominios para planificar tu estudio. Los resultados de práctica no predicen tu puntuación en el examen de certificación.