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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-data-engineer-associate-preparation-test-series/
课程评论：没有评论
**课程名称：Databricks 数据工程师助理备考系列测试** **课程概述：** 本系列练习测试旨在帮助您全面了解 Databricks 认证数据工程师助理考试的所有考纲内容，从而顺利通过考试，并深入学习 Databricks 平台的核心概念。每套测试中的题目均与实际考试难度相当，作者保证，若您能深刻理解题目，通过率可达90%以上。本课程以题目为导向，覆盖所有考点。建议您在完成 Databricks 合作伙伴学院的课程后，再进行本系列测试，以最大化学习效率。 **考试简介：** Databricks 认证数据工程师助理考试主要评估个人使用 Databricks Lakehouse 平台完成入门级数据工程任务的能力。这包括对 Lakehouse 平台及其工作空间、架构和功能的理解。考试还评估在批处理和增量处理场景下，使用 Apache Spark SQL 和 Python 执行多跳架构 ETL 任务的能力。最后，考试考察考生将基本 ETL 管道、Databricks SQL 查询和仪表板投入生产环境，并维护实体权限的能力。通过此认证考试的个人，应能使用 Databricks 及其相关工具完成基础数据工程任务。 **考生应具备的能力：** * **理解 Databricks Lakehouse 平台及其工具的使用及优势：24% (11/45)** * Data Lakehouse（架构、描述、优势） * 数据科学与工程工作空间（集群、笔记本、数据存储） * Delta Lake（通用概念、表管理与操作、优化） * **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（创建表、写入数据到表、数据清理、合并与重塑表、SQL UDFs） * Python（通过字符串操作和控制流促进 Spark SQL，PySpark 和 Spark SQL 之间的数据传递） * **增量处理数据：22% (10/45)** * Structured Streaming（通用概念、触发器、水印） * Auto Loader（流式读取） * 多跳架构（Bronze-Silver-Gold，流式应用程序） * Delta Live Tables（优势与特性） * **为数据工程应用、Databricks SQL 查询和仪表板构建生产管道：16% (10/45)** * Jobs（调度、任务编排、UI） * Dashboards（端点、调度、告警、刷新） * **理解并遵循最佳安全实践：9% (4/45)** * Unity Catalog（优势与特性） * 实体权限（基于团队的权限、基于用户的权限） **考试时长：** 每场练习考试时长为 90 分钟，包含 45 道单项选择题。 **题目数量：** 每场练习考试共有 45 道单项选择题，按以下高层主题分布： * Databricks Lakehouse 平台 - 24% (11/45) * 使用 Spark SQL 和 Python 进行 ELT - 29% (13/45) * 增量数据处理 - 24% (11/45) * 生产管道 - 16% (7/45) * 数据治理 - 7% (3/45)
These practice tests are designed to help you understand all of the exam syllabus for Databricks Certified Data Engineer Associate 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 Associate certification 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 toolsThe candidate should be able to:Understand how to use and the benefits of using the Databricks Lakehouse Platform and its tools,: 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)DurationExam participants will have 90 minutes to complete each practice exam with 45 multiple choice questions.QuestionsThere are 45 multiple-choice questions on each practice 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 - 24% (11/45)Production Pipelines - 16% (7/45)Data Governance - 7% (3/45)
