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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-data-engineer-professional-test-series/
课程评论：没有评论
Coursera 上的“Databricks 数据工程师专业考试系列”课程旨在帮助您全面掌握 Databricks 认证数据工程师专业考试的全部考纲。本系列练习测试中的题目与真实考试难度相当，通过深入理解每道题目及其解析，您将能熟练掌握 Databricks 平台的核心概念，并具备应对各种难题的能力，从而轻松通过考试（通过率可达 90% 以上）。 **考试内容概览：** 该认证考试旨在评估个人利用 Databricks 执行高级数据工程任务的能力。具体考察内容包括： * **Databricks 平台及开发工具：** 如 Apache Spark、Delta Lake、MLflow、Databricks CLI 和 REST API 的熟练运用。 * **ETL 管道构建：** 能够构建优化且经过清洗的 ETL 管道。 * **数据建模：** 掌握将数据建模到 Lakehouse 的能力，并理解通用数据建模概念。 * **数据管线保障：** 确保数据管线的安全性、可靠性，并具备监控和测试部署的能力。 **通过此认证的个人将能够胜任使用 Databricks 及其相关工具执行高级数据工程任务。** **考试形式：** * **考试时长：** 每场练习考试时长为 120 分钟。 * **题目数量：** 每场练习考试包含 60 道选择题。 * **题目分布：** * Databricks 工具：20% * 数据处理：30% * 数据建模：20% * 安全与治理：10% * 监控与日志：10% * 测试与部署：10% **学习建议：** 为了最大化学习效率，建议您在进行本系列练习测试前，先完成 Databricks Partner Academy 的相关课程。
These practice tests are designed to help you understand all of the exam syllabus for Databricks Certified Data Engineer Professional so you can pass the exam but also help you learn the concepts of the Databricks platform.The questions in each of the practice tests are on par with the actual exam questions you will be facing during the exam.I can assure you that you can pass with more than 90% if you understand the questions well. This is purely questions oriented syllabus covering tests,You have to go through the explanations after each attempt so that you will get the concepts and will be ready to face any twisted question from the topic.note: Go through Databricks partner academy course first and attempt this test for maximum efficiency of utilization of the course.Brief description on the exam:The Databricks Certified Data Engineer Professional certification exam assesses an individual's ability to use Databricks to perform advanced data engineering tasks. This includes an understanding of the Databricks platform and developer tools like Apache Spark, Delta Lake, MLflow, and the Databricks CLI and REST API. It also assesses the ability to build optimized and cleaned ETL pipelines. Additionally, the ability to model data into a lakehouse using knowledge of general data modeling concepts will be assessed. Finally, being able to ensure that data pipelines are secure, reliable, monitored and tested before deployment will also be included in this exam. Individuals who pass this certification exam can be expected to complete advanced data engineering tasks using Databricks and its associated tools.DurationExam participants will have 120 minutes to complete each practice exam with 45 multiple choice questions.QuestionsThere are 60 multiple-choice questions on each practice exam. The questions will be distributed by high-level topic in the following way:Databricks Tooling - 20%Data Processing - 30%Data Modeling - 20%Security and Governance - 10%Monitoring and Logging - 10%Testing and Deployment - 10%
