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[General] Analytics-Con-301 Reliable Exam Tutorial & Reliable Analytics-Con-301 Exam C

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【General】 Analytics-Con-301 Reliable Exam Tutorial & Reliable Analytics-Con-301 Exam C

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Salesforce Analytics-Con-301 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Data Analysis: This domain targets Tableau Consultants to plan and prepare data connections effectively. It includes recommending data transformation strategies, designing row-level security (RLS) data structures, and implementing advanced data connections such as Web Data Connectors and Tableau Bridge. Skills in specifying granularity and aggregation strategies for data sources across Tableau products are emphasized.
Topic 2
  • Business Consulting: For Tableau Consultants, this section involves designing and troubleshooting calculations and workbooks to meet advanced analytical use cases. It covers selecting appropriate chart types, applying Tableau’s order of operations in calculations, building interactivity into dashboards, and optimizing workbook performance by resolving resource-intensive queries and other design-related issues.
Topic 3
  • Business Analysis: This section of the exam measures skills of Tableau Consultants focusing on evaluating the current state of analytics within an organization. It covers mapping business needs to Tableau capabilities, translating analytical requirements to best practices in Tableau, and recommending appropriate deployment options like Tableau Server or Tableau Cloud. It also includes evaluating existing data structures for supporting business needs and identifying performance risks and opportunities.

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Salesforce Certified Tableau Consultant Sample Questions (Q100-Q105):NEW QUESTION # 100
A client wants to view stores serviced by delivery drivers on a map. The have the information provided in the table below:

What does the client need to do to plot exact street addresses on the map?
  • A. Custom geocode the street addresses.
  • B. Change the data type of Street Address 1 and Street Address 2 to the Geographic role.
  • C. Establish a hierarchy of State > City > Street Address 1 > Street Address 2.
  • D. Add a Map layer to the visualization.
Answer: A
Explanation:
Tableau's built-in geocoding supports only the following geographic roles:
* Country
* State / Province
* County
* City
* Postal Code
* Airport
* Area codes
* Congressional districts, etc.
Tableau does NOT natively geocode street-level addresses.
When a dataset contains street address fields, Tableau will not recognize them as geographic fields because:
* Street Address 1 and Street Address 2 are not valid Tableau geographic roles.
* Tableau cannot automatically translate street text (like "101 Random Place Rd") into latitude/longitude.
Therefore, to plot street-level points on a map, Tableau requires:
Custom geocoding OR latitude/longitude fields.
Tableau documents that for exact address locations:
* You must either supply latitude and longitude for each address, or
* Use custom geocoding, where the user uploads a .csv with addresses matched to coordinates.
Why the other answer choices are incorrect:
B). Change the data type to Geographic role
Street address fields cannot be assigned a geographic role. Tableau will reject them or not map them.
C). Establish a hierarchy
Hierarchies help with drilldown but do not generate geographic coordinates for street addresses.
D). Add a map layer
Map layers allow visual overlays but cannot generate geocoding for address fields.
The only correct way to map street addresses is to custom geocode (or supply lat/long), which matches option A).
* Tableau Geocoding documentation stating street-level addresses are not natively supported.
* Custom Geocoding instructions for mapping exact address points.
* Mapping best practices stating that lat/long or custom geocode files are required for street accuracy.

NEW QUESTION # 101
A client has many published data sources in Tableau Server. The data sources use the same databases and tables. The client notices different departments give different answers to the same business questions, and the departments cannot trust the data. The client wants to know what causes data sources to return different data.
Which tool should the client use to identify this issue?
  • A. Tableau Prep Conductor
  • B. Tableau Catalog
  • C. Tableau Resource Monitoring Tool
  • D. Ask Data
Answer: B
Explanation:
The Tableau Catalog is part of the Tableau Data Management Add-on and is designed to help users understand the data they are using within Tableau. It provides a comprehensive view of all the data assets in Tableau Server or Tableau Online, including databases, tables, and fields. It can help identify issues such as data quality, data lineage, and impact analysis. In this case, where different departments are getting different answers to the same business questions, the Tableau Catalog can be used to track down inconsistencies and ensure that everyone is working from the same, reliable data source.
References: The recommendation for using Tableau Catalog is based on its features that support data discovery, quality, and governance, which are essential for resolving data inconsistencies across different departments12.
When different departments report different answers to the same business questions using the same databases and tables, the issue often lies in how data is being accessed and interpreted differently across departments. Tableau Catalog, a part of Tableau Data Management, can be used to solve this problem:
Visibility: Tableau Catalog gives visibility into the data used in Tableau, showing users where data comes from, where it's used, and who's using it.
Consistency and Trust: It helps ensure consistency and trust in data by providing detailed metadata management that can highlight discrepancies in data usage or interpretation.
Usage Metrics and Lineage: It offers tools for tracking usage metrics and understanding data lineage, which can help in identifying why different departments might see different results from the same underlying data.
References:
Tableau Catalog Usage: The Catalog is instrumental in providing a detailed view of the data environment, allowing organizations to audit, track, and understand data discrepancies across different users and departments.

NEW QUESTION # 102
A Tableau Server customer is interested in measuring content and platform usage. Which two features should the consultant use? Choose two.
  • A. Admin Insights page
  • B. Tableau Server repository
  • C. Tableau Pulse
  • D. Server Status page
Answer: A,B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Two Tableau Server features provide usage and adoption insights:
Tableau Server Repository
* Stores all metadata about:
* Workbooks
* Data sources
* User activity
* View traffic
* Can be queried directly for content usage and platform metrics.
Admin Insights Page
* Built-in dashboards showing:
* User activity
* Content usage
* Data source usage
* Performance metrics
* Designed specifically for monitoring platform adoption.
These two together give complete content and usage visibility.
Why A and D are incorrect:
A). Tableau Pulse
* Available only in Tableau Cloud, not Tableau Server.
* Focuses on personalized metric insights, not platform reporting.
D). Server Status Page
* Shows node health and process status, not content usage or adoption analytics.
Thus, correct answers are B and C.
* Tableau Server auditing and usage documentation describing repository tables.
* Admin Insights documentation describing built-in content and user monitoring.

NEW QUESTION # 103
A client wants to see data for only the most recent day in the dataset that is updated intermittently. The solution should offer the best caching performance.
Which approach should the consultant use to produce the desired results?
  • A. Fixed Level of Detail (LOD) date calculation
  • B. TODAY function
  • C. Relative date filters
  • D. Quick filter
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The client wants to always show the most recent day present in the data, not today's date. The dataset is updated intermittently, meaning some days may have no new rows. Tableau documentation states that:
* Using TODAY() recalculates on every query and prevents effective caching because Tableau must compute the current date for each refresh.
* Using Relative Date Filters like "Last 1 day" also prevents caching because Tableau evaluates relative conditions each time the workbook loads.
* Quick Filters also break caching and decrease performance because they require interactive evaluation on each render.
* A FIXED LOD calculation allows Tableau to compute the maximum date inside the extract, which preserves caching because it is data-driven, not time-driven.For example:{ FIXED : MAX([Date]) } Then filtering where [Date] = { FIXED : MAX([Date]) } ensures only the most recent date in the dataset is shown.
Tableau's documentation on performance emphasizes that caching is maximized when calculations depend only on the data itself and not on functions like TODAY() or relative filters.
A FIXED LOD provides the best caching performance and correctly returns the most recent date based on the dataset rather than the current system date.
* Tableau extract caching behavior describing how data-dependent filters cache better than time- dependent filters.
* LOD Expressions guidance recommending FIXED for identifying values like "latest date in the dataset."
* Tableau performance guidelines discouraging TODAY() and relative date filters when caching is important.

NEW QUESTION # 104
A client has several long-term shipping contracts with different vendors that set rates based on shipping volume and speed. The client requests a dashboard that allows them to model shipping costs for the next week based on the selected shipping vendor. Speed for the end user is critical.
Which dashboard building strategy will deliver the desired result?
  • A. Aggregate the orders then use a calculated field that refers to a user-selected parameter to calculate the shipping costs.
  • B. Use a calculated field that refers to a user-selected parameter to calculate shipping costs for each order and then display the aggregate values.
  • C. Recommend that the client model for only profitability for the next 24 hours instead of a full week.
  • D. Calculate the potential shipping cost for each order with each vendor, display the aggregate costs in a large table, and use quick filters to limit the options visible to the user.
Answer: B
Explanation:
For modeling shipping costs based on varying vendor contracts and ensuring speed in dashboard performance, the suggested approach involves:
Calculated Field with Parameter: Utilize a calculated field that dynamically references a user-selected parameter for the shipping vendor. This parameter adjusts the cost calculations based on selected vendor characteristics (like volume and speed).
Aggregate Results: After calculating individual shipping costs, aggregate these costs to provide a concise, summarized view of potential expenses for the upcoming week. This method ensures the dashboard remains performant by reducing the load of processing individual line items in real-time.
Why This Works: By using parameters and calculated fields, the dashboard can quickly adapt to user inputs without needing to re-query the entire dataset. Aggregating the results further improves performance and user experience by simplifying the output.
References
This strategy leverages Tableau's capability to handle dynamic calculations with parameters and is recommended for scenarios where performance and user-driven interaction are priorities. Tableau's performance optimization resources and dashboard design guidelines detail these techniques.

NEW QUESTION # 105
......
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