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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-certified-data-engineer-associate-practice-tests/
课程评论：没有评论
课程名称：Databricks认证数据工程师助理实践考试 课程概述：本课程提供更新后的实践考试，适用于Databricks认证数据工程师助理的V2和V3版本。众多学生反馈在参加V2和V3考试后均顺利通过认证，且分数超过90%。课程的主要目标是帮助学员理解所有考试主题，顺利通过认证考试，同时深入学习Databricks平台的概念。 该认证考试评估个人在Databricks Lakehouse平台上完成初级数据工程任务的能力，包括对Lakehouse平台及其工作区、架构和功能的理解。考试内容涵盖使用Apache Spark SQL和Python执行多跳架构ETL任务的能力，以及如何将基本的ETL管道、Databricks SQL查询和仪表板投入生产。 本课程主要内容包括： 1. Databricks Lakehouse平台及其工具使用与优势（24%，11/45） - 数据湖架构、描述和优势 - 数据科学与工程工作区、集群、笔记本和数据存储 - Delta Lake的基本概念、表管理与优化 2. 使用Apache Spark SQL和Python构建ETL管道（29%，13/45） - 关系实体（数据库、表、视图） - ELT流程（创建表、写入数据、清洗数据等） - Python与Spark SQL的交互 3. 增量数据处理（22%，10/45） - 结构化流处理的基本概念 - 自动加载（流读取） - 多跳架构及Delta Live Tables的使用 4. 构建数据工程应用和Databricks SQL查询的生产管道（16%，10/45） - 作业调度、任务编排和仪表板管理 5. 理解并遵循最佳安全实践（9%，4/45） - Unity Catalog的功能与优势 - 实体权限管理 考试时间为90分钟，包含45道选择题，内容按高层主题分配如下： - Databricks Lakehouse平台 – 24% (11/45) - 使用Spark SQL和Python的ELT – 29% (13/45) - 增量数据处理 – 22% (10/45) - 生产管道 – 16% (7/45) - 数据治理 – 9% (4/45) 该课程不仅帮助您顺利通过认证，更助您深入理解Databricks平台的实用功能。
UPDATE: These Practice exams were updated for both V2 and V3, please take look at the reviews we have many students who took V2 and V3 and have passed the certification. Note: Please be aware of the fake reviews were being posted by other courses to discredit my course, many students have reported to me that they have passed certification with more than 90% scores. I actively respond to Q & A with explanations if you still have questions. These practice tests for Databricks Certified Data Engineer Associate are designed to help you understand all of the exam topics so you can pass the exam but also help you learn the concepts of the Databricks platform. It is very important to finish all 5 practice exams because each exam focuses on certain features of Databricks so you don't want to miss out on those prior to taking the exam. My goal here is not just to help you pass the exam but help you learn the Databricks platform along the way. Here is a summary of the Databricks Certified Data Engineer Associate certification exam: The exam assesses an individual's ability to use the Databricks Lakehouse Platform to complete introductory data engineering tasks. This includes an understanding of the Lakehouse Platform and its workspace, its architecture, and its capabilities. It also assesses the ability to perform multi-hop architecture ETL tasks using Apache Spark SQL and Python in both batch and incrementally processed paradigms. Finally, the exam assesses the tester's ability to put basic ETL pipelines and Databricks SQL queries and dashboards into production while maintaining entity permissions. Individuals who pass this certification exam can be expected to complete basic data engineering tasks using Databricks and its associated tools.The minimally qualified candidate should be able to:Understand how to use and the benefits of using the Databricks Lakehouse Platform and its tools, including: 24 % (11/45)Data Lakehouse (architecture, descriptions, benefits)Data Science and Engineering workspace (clusters, notebooks, data storage)Delta Lake (general concepts, table management and manipulation, optimizations)Build ETL pipelines using Apache Spark SQL and Python, including: 29% (13/45)Relational entities (databases, tables, views)ELT (creating tables, writing data to tables, cleaning data, combining and reshaping tables, SQL UDFs)Python (facilitating Spark SQL with string manipulation and control flow, passing data between PySpark and Spark SQL)Incrementally process data, including: 22% (10/45)Structured Streaming (general concepts, triggers, watermarks)Auto Loader (streaming reads)Multi-hop Architecture (bronze-silver-gold, streaming applications)Delta Live Tables (benefits and features)Build production pipelines for data engineering applications and Databricks SQL queries and dashboards, including: 16% (10/45)Jobs (scheduling, task orchestration, UI)Dashboards (endpoints, scheduling, alerting, refreshing)Understand and follow best security practices, including: 9% (4/45)Unity Catalog (benefits and features)Entity Permissions (team-based permissions, user-based permissions)DurationTesters will have 90 minutes to complete the certification exam.QuestionsThere are 45 multiple-choice questions on the certification exam. The questions will be distributed by high-level topic in the following way:Databricks Lakehouse Platform - 24% (11/45)ELT with Spark SQL and Python - 29% (13/45)Incremental Data Processing - 22% (10/45)Production Pipelines - 16% (7/45)Data Governance - 9% (4/45)
