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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mock-tests-databricks-certified-data-engineer-professional-p/
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课程名称：Databricks认证数据工程师专业模拟考试 课程概述：如果您正在准备Databricks认证数据工程师专业考试，那么这门课程非常适合您！该课程提供六套完整的模拟考试，配有详细的解答，以模拟真实考试环境，确保您做好充分准备。 考试概述： - 形式：60道多选题 - 持续时间：120分钟 - 通过分数：70% 考试主题及权重： - 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%） 您将练习的内容： 1. 数据建模与管理 - Lakehouse架构（铜/银/金层，表，视图，物理布局） - 一般建模概念：约束、查找表、缓慢变化维度（SCD类型0-2） 2. 数据处理管道 - 使用Spark/Delta Lake API的批处理和增量ETL管道 - 去重、变更数据捕获（CDC）和工作负载优化（Z-Order、分区、文件大小） 3. Databricks平台与工具 - Databricks CLI（工作流部署） - Databricks REST API（触发与配置管道） 4. 安全与治理 - 集群/作业权限（ACL） - 逐行/列级安全的动态视图 - GDPR/CCPA合规（安全数据删除） 5. 监控与日志 - 指标收集、错误调试和作业性能分析 6. 测试与部署 - 最佳实践：相对导入、作业调度、编排、错误处理 课程特点： - 6套真实模拟考试：模拟实际考试的结构、难度和时间限制。 - 详细解析：通过概念性分解了解答案为何正确或错误。 - 考试策略指导：学习时间管理和问题优先级。 适合人群： - 希望在真实考试前进行练习的Databricks认证数据工程师； - 验证自身Lakehouse平台专业知识的数据工程师； - 希望掌握Delta Lake、Spark和Databricks工具的专业人士。 免责声明：本课程是Databricks认证数据工程师专业模拟考试的非官方测试准备资源，未与Databricks公司相关联或得到其认可或赞助。本课程内容独立创建，旨在帮助学习者自我评估理解和准备情况。该课程不包含实际考试题目，材料未经Databricks审查或批准。模拟考试仅用于教育目的，旨在模拟考试体验并突出重点领域。 立即注册并取得您的认证成功！祝您在考试旅程中好运！
Mock Tests: Databricks Certified Data Engineer ProfessionalPrepare for Success with Realistic Practice TestsIf you're preparing for the Databricks Certified Data Engineer Professional certification exam, you've come to the right place! This course provides Six full-length practice tests with detailed explanations to simulate the actual exam environment and ensure you're fully prepared.Exam OverviewFormat: 60 multiple-choice/multi-select questionsDuration: 120 minutesPassing Score: 70%Topics & Weightings:Databricks Tooling (20%)Data Processing (30% )Data Modeling (20% )Security & Governance (10%)Monitoring & Logging (10%)Testing & Deployment (10%)What You'll PracticeThe practice tests rigorously cover all exam objectives, including:1. Data Modeling & ManagementLakehouse architecture (bronze/silver/gold layers, tables, views, physical layout).General modeling concepts: constraints, lookup tables, slowly changing dimensions (SCD Types 0-2).2. Data Processing PipelinesBatch and incremental ETL pipelines with Spark/Delta Lake APIs.Deduplication, Change Data Capture (CDC), and workload optimization (Z-Order, partitioning, file sizing).3. Databricks Platform & ToolsDatabricks CLI (workflow deployment).Databricks REST API (triggering and configuring pipelines).4. Security & GovernanceCluster/job permissions (ACLs).Dynamic views for row/column-level security.GDPR/CCPA compliance (secure data deletion).5. Monitoring & LoggingMetrics collection, error debugging, and job performance analysis.6. Testing & DeploymentBest practices: relative imports, job scheduling, orchestration, error handling.Course Features6 Realistic Mock Exams: Mimic the actual exam's structure, difficulty, and time constraints.Detailed Explanations: Understand why answers are correct/incorrect with concept-based breakdowns.Exam Strategy Guidance: Learn time management and question prioritization.Who This Course Is ForAspiring Databricks Certified Data Engineers seeking practice before the real exam.Data Engineers validating their Lakehouse platform expertise.Professionals aiming to master Delta Lake, Spark, and Databricks tooling.Disclaimer:This Databricks Certified Data Engineer Professional Mock Tests course is an unofficial test preparation resource and is not affiliated with, endorsed by, or sponsored by Databricks, Inc.The content provided in this course has been created independently for the purpose of helping learners self-assess their understanding and readiness for the Databricks Certified Data Engineer Professional exam.This course does not contain actual exam questions, and the materials have not been reviewed or approved by Databricks.The practice tests are intended solely for educational purposes to simulate the exam experience and highlight key areas of focus.All references to Databricks, including trademarks, product names, or logos, are used strictly for descriptive and educational purposes, and do not imply any affiliation or endorsement by Databricks.For the most accurate and up-to-date information regarding the exam, learners should refer to the official Databricks certification website and documentation.Enroll Now and Ace Your Certification!Best of luck on your exam journey!
