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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-data-engineer-professional-practice-test/
课程评论：没有评论
**课程概述：** 本课程为 "2025: Databricks 数据工程师专业实践考试"，旨在帮助您准备 Databricks 认证数据工程师专业考试。该考试重点考察您利用 Databricks 平台进行高级数据工程任务的能力，包括对 Databricks 平台、Apache Spark™、Delta Lake、MLflow、Databricks CLI 和 REST API 等开发工具的掌握。此外，考试还将评估您构建优化、清洗过的 ETL 管道的能力，使用湖仓一体（Lakehouse）数据建模知识进行数据建模的能力，以及确保数据管道的安全、可靠、可监控和可测试的能力。 **考试内容涵盖：** * 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% **课程目标：** * **熟悉真实场景：** 通过全面的模拟考试，掌握与实际考试格式和难度相当的练习。 * **识别知识盲点：** 通过练习题和详细的答案解析，准确找出需要进一步学习的领域。 * **提升应试技巧：** 培养有效的时间管理、理解问题意图并选择最佳答案等应试策略。 * **掌握考试内容：** 深入了解 Databricks 专业数据工程师认证考试的核心概念。 **目标学员：** * 寻求 Databricks 专业认证的数据工程师。 * 正在准备 Databricks 专业数据工程师考试的 Databricks 用户。 * 希望巩固 Databricks 技能并应用于实际数据工程场景的数据专业人士。 **先修知识/建议：** * 具备数据工程基础知识，如数据提取、转换、质量检查和数据存储。 * （可选但有益）对大数据技术和分布式计算有基本了解。 * （优先）具备 Databricks 平台使用经验，如创建 Notebook、使用集群或进行基础 Apache Spark 操作。 **课程要求/注意事项：** * **不适合：** 完全没有数据工程或 Databricks 经验的初学者。 * **考试形式：** 带有监考的在线认证考试，包含 60 道选择题，限时 120 分钟，无测试辅助工具。 * **有效期：** 认证有效期为 2 年，需定期进行再认证。 * **未计分内容：** 考试可能包含未计分的题目，用于收集统计信息，这不影响您的分数，但已计入考试时间。
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.The exam covers:Databricks Tooling - 20%Data Processing - 30%Data Modeling - 20%Security and Governance - 10%Monitoring and Logging - 10%Testing and Deployment - 10%Assessment DetailsType: Proctored certificationTotal number of questions: 60Time limit: 120 minutesRegistration fee: $200Question types: Multiple choiceTest aides: None allowedLanguages: EnglishDelivery method: Online proctoredPrerequisites: None, but related training highly recommendedRecommended experience: 1+ years of hands-on experience performing the data engineering tasks outlined in the exam guideValidity period: 2 yearsRecertification: Recertification is required to maintain your certification status. Databricks Certifications are valid for two years from issue date.Unscored content: Exams may include unscored items to gather statistical information for future use. These items are not identified on the form and do not impact your score. Additional time is factored into the exams to account for this content.What you'll learnPractice with Realistic Scenarios: Solve a comprehensive set of practice exams that mirror the format and difficulty level of the actual certification exam.Identify Knowledge Gaps: Through the practice exams and detailed answer explanations, students will be able to pinpoint areas where they need further study.Sharpen Exam-Taking Skills: Help students develop effective test-taking strategies like time management, understand question intent & selecting the best answerMaster Exam Content: Gain deep familiarity with the core concepts tested in the Databricks Professional Data Engineer certification exam.Are there any course requirements or prerequisites?Basic Understanding of Data Engineering: Familiarity with core data engineering concepts like data ingestion, transformation, quality checks, and data storage.Exposure to Big Data Technologies: A general understanding of big data processing and distributed computing paradigms (optional but helpful).Prior Experience with Databricks (Preferred): While not mandatory, having some prior experience working with the Databricks platform would be beneficial. This could include experience with creating notebooks, working with clusters, or basic Apache Spark operations in Databricks.Who this course is for:Data Engineers Seeking Certification: You're a data engineer with a solid foundation in the field and are aiming to validate your expertise with the Databricks Professional Data Engineer certification. You have experience working with data pipelines, data processing tools, and potentially some exposure to Databricks.Databricks Users Preparing for the Exam: You're a current Databricks user looking to enhance your proficiency with the platform and demonstrate your knowledge through the certification. You understand core Databricks functionalities and want to solidify your understanding of exam-relevant topics.Anyone Aiming to Bolster Databricks Skills: Even without immediate certification goals, you're a data professional who wants to strengthen your Databricks expertise and practice applying it to realistic data engineering scenarios.This course is NOT for: Complete beginners with no prior data engineering or Databricks experience. While we strive to be accessible, foundational knowledge would be beneficial.
