Qlik Sense Data Architect Certification in First Try 2025

所在平台: Udemy

课程主页: https://www.udemy.com/course/qlik-sense-data-architect-certification-exams/

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Coursera Qlik Sense 数据架构师认证课程 2025 旨在帮助您一次性通过 Qlik Sense 数据架构师认证考试。 **课程亮点:** * **海量题库:** 包含 116 道类似真实考试的问答题,深度解析每一个正确答案,帮助理解概念;即使是错误答案,也提供详细解释,将错误转化为学习机会。 * **外部资源推荐:** 提供额外的外部参考资料,助您深入拓展知识。 * **考试内容覆盖:** 涵盖识别数据模型需求、设计和构建数据模型、以及验证数据等考试核心内容。 * **平台中立:** 内容适用于客户端管理和 Qlik Cloud。 **推荐经验:** * 有使用 Qlik Sense 开发生产级应用的实践经验。 * 能够编写 Qlik Sense 加载脚本并验证数据。 * 具备 ETL(抽取、转换、加载)基础知识。 * 熟悉使用连接器连接各种数据源。 * 理解 QVD 层和 Qlik 平台架构。 * 能够设计最优性能的数据模型。 * 熟悉 SQL 和关系型数据库。 **考试主题:** * **识别需求:** 确定业务用户的主要需求、利益相关者、度量标准、粒度和聚合级别、维度及其缓慢变化维度的支持需求、以及安全级别。 * **数据连接:** 确定所需的数据源和连接器,以及创建数据源连接的合适方法。 * **数据模型设计:** 确定每个数据源的度量和属性、合适的数据模型类型、优化数据模型的正确方法、以及高效实现数据结构的正确方法。 * **数据转换:** 确定基于需求构建数据内容的正确方法、分析和评估支持过滤所需的空值和空白数据处理、记录数据加载脚本的正确方法、日期处理技术的正确方法、脚本组织和清理的正确方法、以及用于增量加载的提取层的相关变量。 * **验证:** 确定验证和测试脚本的合适方法,以及验证和测试数据的合适方法。 **目标学员:** 学生、咨询顾问、软件开发人员、IT 总监、IT 经理、IT 团队领导、IT 专业人士。 **认证考试详情:** * **考试形式:** 50 道选择题。 * **考试时长:** 120 分钟。 * **考试方式:** 需通过监考,不支持开卷。 * **考试语言:** 英语。

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课程详情

SIMULATORS 2025!!. Become a Qlik Sense Business Analyst Certificated in First Attempt. This course consists of 116 questions and answers like the real exam!!. Every correct answer comes with a thorough explanation to ensure you understand the concept in-depth.Even incorrect answers are accompanied by detailed explanations, turning each error into a valuable learning opportunityExpand your understanding with recommended external references. We provide additional resources for you to delve even deeper into the covered topics.The Qlik Sense Data Architect certification exam measures your ability to identify requirements for data models, design and build data models, and validate the data. This exam is platform-neutral, which means the content applies to both client-managed and Qlik Cloud.Recommended experiencePractical experience developing multiple production-quality applications in Qlik SenseAbility to write Qlik Sense load scripts and validate dataBasic understanding of Extract, Transform, Load (ETL)Create and use connectors to various data sourcesUnderstand the QVD layer and architecture of the Qlik platformAbility to architect data to provide optimal performanceFamiliar with SQL and relational databasesCertification Exam topicsIdentify RequirementsDetermine primary requirements for business users.Identify stakeholders using a given scenario.Determine metrics and levels of granularity and aggregation.Determine dimensionality and the need for slowly changing dimensionality support.Determine the appropriate level of security.Data ConnectivityDetermine the data sources and connectors needed.Determine the appropriate method to create connections for data sources..Data Model DesignDetermine the measures and attributes from each data source.Identify the appropriate type of data model.Determine the correct method to optimize the data model for Qlik Sense.Determine the correct method to implement data structures efficiently.Data TransformationsDetermine the correct method to build data content based on requirements.Analyze and evaluate null and blank data handling required to support filtering.Determine the correct method to document Data Load scripts.Determine the correct method for date handling techniques.Determine the correct method to perform script organization and cleansing.Determine the correct method to perform script organization and cleansing.Analyze relevant variables to build scripts for incremental loading for the extract layer.Validation Determine the appropriate method to validate and test scripts.Determine the appropriate method to validate and test data.Audience Profile:The target audience includes:- Students- Consultants- Software Developers- IT Directors- IT Managers- IT Team Leaders- IT ProfessionalsAbout this certification exam:: Exam format: 50 multiple choice questionsYou will have 120 minutes to complete this assessment.This exam will be proctored, and is not open bookThis exam is offered in the following languages: English

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