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Welcome to our all-inclusive Tableau Certified Consultant Certification Practice Exam course, designed to help you master the essential MuleSoft skills, concepts, and best practices needed to pass the exam with confidence.In this course, you will learn: Domain 1: Evaluate Current State1.1 Map current state of analytics to future state1.1.1 Evaluate existing reports, including volume, gap analysis, performance, and data accuracy1.1.2 Map existing reports, data products, and business needs to Tableau capabilities1.1.3 Translate analytical requirements into Tableau context by using best practices1.1.4 Recommend whether to use Tableau Server or Tableau Cloud, including migration1.2 Evaluate current data structures1.2.1 Evaluate whether existing data supports business needs1.2.2 Evaluate lineage of existing data structures1.2.3 Evaluate existing data structures for performance risks1.2.4 Evaluate existing data structures for performance enhancement opportunitiesDomain 2: Plan and Prepare Data Connections2.1 Plan for data transformation2.1.1 Recommend an appropriate data storage method, data structure, and strategy2.1.2 Recommend an appropriate tool to transform data, including Tableau Desktop, Tableau Prep, or an ETL product2.1.3 Identify impact of static and responsive calculations in Tableau Prep and Tableau workbooks2.1.4 Specify the requirements for minimum level of granularity2.2 Design a row-level security (RLS) data structure2.2.1 Implement RLS and an entitlement table2.2.2 Identify group functions versus user functions2.2.3 Implement hierarchies to support RLS2.2.4 Compare RLS approaches2.3 Plan and implement advanced connections to data2.3.1 Recommend an appropriate method to connect to data, such as Web Data Connectors, web extract APIs, custom SQL, or ODBC2.3.2 Create connections by using Tableau Bridge2.3.3 Recommend how to prepare data to meet specific requirements, including shaping and combining2.3.4 Specify aggregation level and strategy for data sources in Tableau products (Tableau Desktop, Tableau Prep, Tableau Cloud, Tableau Server)2.3.5 Identify the minimum fields required for analysis2.3.6 Troubleshoot complex data issues and connectionsDomain 3: Design and Troubleshoot Calculations and Workbooks3.1 Design analytics for advanced use cases3.1.1 Recommend when to use an advanced chart type, such as Sankey, chord, radar, tile map, small multiples, and data densification3.1.2 Plan and implement the necessary calculations for customized charts3.1.3 Identify the effect of the Tableau order of operations on calculations3.1.4 Troubleshoot issues caused by the Tableau order of operations3.1.5 Plan and implement advanced techniques to build interactivity into dashboards, such as dynamic URL actions, parameter actions, filter actions, and sheet swapping3.1.6 Identify use cases for augmented analytics, such as Ask Data, Explain Data, and Data Stories3.2 Design workbooks to optimize performance3.2.1 Identify and resolve resource-intensive queries3.2.2 Maximize caching for Tableau Server3.2.3 Identify and resolve performance issues caused by calculations such as string comparisons, IF THEN statements, and Level of Detail (LOD) expressions3.2.4 Recommend calculations that should be moved upstream of Tableau3.2.5 Interpret and resolve issues by using performance recordings3.2.6 Identify and resolve performance issues caused by design elements such as number of sheets, number of filters, and image size3.3 Implement advanced calculations that include multiple steps3.3.1 Implement aggregations that include dimensions3.3.2 Implement advanced table calculations, such as window, nested table, or multi-directional3.3.3 Implement advanced date functions, such as fiscal calendars3.3.4 Implement advanced LODs, such as nested LODs3.3.5 Implement combinations of advanced calculations3.3.6 Troubleshoot advanced calculationsDomain 4: Establish Governance and Support Published Content4.1 Recommend and apply a Tableau governance strategy4.1.1 Map an organization's governance requirements to Tableau features and capabilities4.1.2 Recommend a strategy for securing access to content4.1.3 Recommend a strategy for organizing content, such as by function, by organization, and by role4.1.4 Recommend a strategy for ensuring data quality, including certifying data sources, minimizing data proliferation, and configuring data quality warnings4.1.5 Evaluate compliance with a governance strategy by using Data Catalog, including Data Lineage4.2 Design custom administrative views4.2.1 Interpret the repository schema and event types4.2.2 Specify insights that require a custom administrative view4.2.3 Specify appropriate permissions to create administrative views4.3 Recommend a content distribution strategy4.3.1 Map publishing requirements to features and capabilities of Tableau4.3.2 Recommend an approach for the workbook lifecycle, including building, testing, deployment, distribution, and maintenance4.3.3 Recommend a version control strategy within Tableau4.4 Identify and resolve errors external to Tableau4.4.1 Identify and resolve connection authentication and network access4.4.2 Identify and resolve update failures that originate from the source system4.4.3 Identify other issues that originate from outside Tableau, such as platform or network outage

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