Salesforce Analytics-Con-301 Exam Syllabus
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Before starting your Analytics-Con-301 exam preparation, it is recommended to review the complete Salesforce Certified Tableau Consultant exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free Analytics-Con-301 questions. We also provide premium Analytics-Con-301 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.
Salesforce Analytics-Con-301 Exam Objectives
| Section | Weight | Objectives |
|---|---|---|
| Evaluate Current State | 21% | 1.1 Map current state of analytics to future state 1.1.1 Map business needs to Tableau capabilities. 1.1.2 Translate analytical requirements into Tableau context by using best practices. 1.1.3 Recommend whether to use Tableau Server or Tableau Cloud, including migration. 1.1.4 Recommend and plan a Tableau Server upgrade. 1.2 Evaluate current data structures 1.2.1 Evaluate whether existing data supports business needs. 1.2.2 Evaluate lineage of existing data structures. 1.2.3 Evaluate existing data structures for performance risks and enhancement opportunities. |
| Design and Troubleshoot Calculations and Workbooks | 40% | 3.1 Design analytics for advanced use cases 3.1.1 Recommend when to use an advanced chart type, such as Sankey, chord, radar, tile map, small multiples, and data densification. 3.1.2 Identify the effect of the Tableau order of operations on calculations. 3.1.3 Troubleshoot issues caused by the Tableau order of operations. 3.1.4 Plan and implement advanced techniques to build interactivity into dashboards, such as dynamic URL actions, parameter actions, and filter actions. 3.2 Design workbooks to optimize performance 3.2.1 Identify and resolve resource-intensive queries. 3.2.2 Maximize caching for Tableau Server. 3.2.3 Identify and resolve performance issues caused by calculations such as string comparisons, IF THEN statements, and Level of Detail (LOD) expressions. 3.2.4 Recommend calculations that should be moved upstream of Tableau. 3.2.5 Interpret and resolve issues by using performance recordings. 3.2.6 Identify and resolve performance issues caused by design elements such as number of sheets, number of filters, and image size. 3.3 Implement advanced calculations that include multiple steps 3.3.1 Implement aggregations that include dimensions. 3.3.2 Implement advanced table calculations, such as window, nested table, or multi-directional. 3.3.3 Implement advanced date functions, such as fiscal calendars. 3.3.4 Implement advanced LODs, such as nested LODs. 3.3.5 Implement combinations of advanced calculations. 3.3.6 Troubleshoot advanced calculations. |
| Establish Governance and Support Published Content | 16% | 4.1 Recommend and apply a Tableau governance strategy 4.1.1 Map an organization's governance requirements to Tableau features and capabilities. 4.1.2 Recommend a strategy for securing access to content. 4.1.3 Recommend a strategy for ensuring data quality, including certifying data sources, minimizing data proliferation, and configuring data quality warnings. 4.2 Leverage administrative views 4.2.1 Specify insights that require an administrative view. 4.2.2 Recommend the appropriate administrative views and data sources for a given scenario. 4.3 Recommend a content distribution strategy 4.3.1 Map publishing requirements to features and capabilities of Tableau. 4.3.2 Recommend an approach for the workbook lifecycle, including building, testing, deployment, distribution, and maintenance |
| Plan and Prepare Data Connections | 22% | 2.1 Plan for data transformation 2.1.1 Recommend an appropriate data transformation strategy. 2.1.2 Specify the requirements for minimum level of granularity. 2.2 Design a row-level security (RLS) data structure 2.2.1 Implement RLS and an entitlement table. 2.2.2 Identify group functions versus user functions. 2.2.3 Compare RLS approaches. 2.3 Plan and implement advanced connections to data 2.3.1 Recommend an appropriate method to connect to data, such as Web Data Connectors, web extract APIs, custom SQL, or ODBC. 2.3.2 Create connections by using Tableau Bridge. 2.3.3 Specify aggregation level and strategy for data sources in Tableau products (Tableau Desktop, Tableau Prep, Tableau Cloud, Tableau Server). |
| Official Information | https://trailheadacademy.salesforce.com/certificate/exam-tableau-consultant---Analytics-Con-301 |
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