Databricks Certified Data Engineer Professional Practice Test

50 preguntas disponibles

Gana confianza para Databricks Certified Data Engineer Professional. Practica los conceptos, comprende las respuestas y refuerza tus conocimientos pregunta a pregunta.

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Examen de certificación
60 Preguntas del examen
2 horas Límite de Tiempo
Professional Nivel
Tu práctica
50 Preguntas de práctica
50 minutos Tiempo de Práctica
Prueba 5 preguntas gratis
No necesitas cuenta. Una cuenta gratuita incluye 20 preguntas de este examen.
El listón a superar 70 Puntuación mínima publicada para obtener esta certificación.
Explora los temas del examen Objetivos oficiales de Databricks
Databricks50 preguntas de práctica
Temario verificadoVerificado con Databricks official objectivesMetadatos verificados 2026-06-07Cómo verificamos

Descripción y detalles del examen

The Databricks Certified Data Engineer Professional exam validates the advanced skills required to design, build, and maintain robust, scalable, and secure data processing systems on the Databricks Lakehouse Platform. This 46-question assessment tests a candidate's ability to implement complex data engineering tasks in production environments, focusing on performance optimization, reliability, and architectural best practices. It is designed for experienced data engineers who are responsible for the end-to-end data lifecycle, from ingestion and transformation to orchestration and monitoring. Successful candidates demonstrate not just theoretical knowledge, but the practical expertise to solve real-world data challenges using Delta Lake, Apache Spark, and the broader Databricks ecosystem. Earning this certification signifies a high level of competency in building enterprise-grade data solutions that are both efficient and maintainable.

Preguntas de Muestra

Elige una respuesta y consulta la explicación para ver cómo funciona la práctica.

Data Ingestion & Acquisition

BrightPath Insurance runs the claims history workload on GCP europe-west4 using Delta Lake managed tables. The workload handles 65 concurrent users during quarterly backfill, and the audit team requires queryable evidence. The latest incident involves unexpected shuffle spill on a single stage. A migration pipeline must ingest Parquet reference files, XML partner payloads, and binary images into the same medallion architecture. The team wants one operational pattern with format-specific parsing handled downstream. The incident review found that manual UI changes were the main source of drift. Which approach best meets the requirement?

Monitoring and Alerting

Meridian Bank runs the payments risk workload on Azure westeurope using Unity Catalog metastore. The workload handles 27 TB before month-end close, and the audit team requires queryable evidence. The latest incident involves a repair run with corrected parameters. A platform owner must investigate a 30 percent cost increase across three workspaces and identify which jobs and users drove the increase over the last month. The incident review found that manual UI changes were the main source of drift. What should the team do first?

Cost & Performance Optimisation

Solara Media runs the ad event attribution workload on AWS eu-west-1 using Lakeflow Jobs. The workload handles 900 million rows during a two-hour peak window, and the current dashboard SLA is 30 seconds. The latest incident involves a malformed XML segment in a mixed feed. A workspace stores most production Delta tables as external tables in team-owned buckets. Operations spends hours reconciling locations, lifecycle policies, and permissions after every team reorganization. The architecture review board rejected solutions that create unmanaged copies of governed data. Which approach best meets the requirement?

Data Governance

Meridian Bank runs the payments risk workload on Azure westeurope using Unity Catalog metastore. The workload handles 27 TB before month-end close, and the implementation must be reviewed in Git before release. The latest incident involves unexpected nulls after upstream type promotion. A central data product has 80 tables and analysts repeatedly ask which fields are certified, who owns them, and whether they contain regulated data. The existing workload is already in production, so the answer must minimize unnecessary rewrites or reruns. Which approach best meets the requirement?

Debugging and Deploying

Caldera Energy runs the meter telemetry workload on GCP us-central1 using Photon-enabled SQL warehouse. The workload handles 3.6 TB nightly, and late data can arrive for 90 minutes. The latest incident involves a bronze table that must preserve raw lineage. A Lakeflow pipeline update fails after a source schema change. One downstream materialized view now references a renamed column, and the team needs to locate the broken dependency quickly. The architecture review board rejected solutions that create unmanaged copies of governed data. What should the team do first?

Oportunidades profesionales y salario

Salario medio: $139,500mercado de EE. UU.– Database Architects

Fuente: BLS Occupational Employment and Wage Statistics, May 2025 -- Database Architects (SOC 15-1243), US national. Occupation median, not a certification salary. (2025)

Database Architects

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.

01Data Processing

30%

02Data Modeling

20%

03Databricks Tooling

20%

04Monitoring and Logging

10%

05Security and Governance

10%

06Testing and Deployment

10%

Detalles del Examen Data Engineer Professional | $400 USD | 2 horas

Código del Examen Data Engineer Professional
Proveedor Databricks
Costo del Examen $400 USD
Puntaje Mínimo 70
Límite de Tiempo 2 horas
Preguntas del examen 60
Tipos de PreguntasAún no disponible en este idioma
Política de Repetición 14-day waiting period after failed attempt. Full exam fee required for retake.
Formato del Examen Linear
Supervisión en Línea Disponible
Disponible En
English

Preguntas Frecuentes

¿Cuánta experiencia práctica se recomienda antes de intentar este examen?

¿El examen se centra más en la teoría de Spark/Databricks o en la implementación práctica?

¿Cuál es la mejor manera de prepararse para las preguntas de ajuste de rendimiento?

¿Qué tan importante es el conocimiento de herramientas específicas de Databricks como Workflows, Unity Catalog y Delta Live Tables?

¿Hay preguntas de codificación y qué lenguajes se cubren?