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[General] Valid Braindumps Analytics-Con-301 Book, New Analytics-Con-301 Exam Cram

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【General】 Valid Braindumps Analytics-Con-301 Book, New Analytics-Con-301 Exam Cram

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Salesforce Certified Tableau Consultant Sample Questions (Q13-Q18):NEW QUESTION # 13
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 # 14
A client is using Tableau to visualize data by leveraging security token-based credentials. Suddenly, sales representatives in the field are reporting that they cannot access the necessary workbooks. The client cannot recreate the error from their offices, but they have seen screenshots from the field agents. The client wants to restore functionality for the field agents with minimal disruption.
Which step should the consultant recommend to accomplish the client's goal?
  • A. Change the data source permissions for the connection to "Prompt User."
  • B. Renew the security token via the Data Connection on Tableau Server.
  • C. Ask the workbook owners to republish the workbooks to refresh the security token.
  • D. Ensure that "Allow Refresh Access" was checked when the data source was published.
Answer: B
Explanation:
When field agents are unable to access workbooks due to issues with security token-based credentials, the most immediate and least disruptive solution is to renew the security token. This can be done through the Data Connection settings on Tableau Server. Renewing the token will restore access for the field agents without requiring them to take any action or affecting other users.
References: The use of personal access tokens (PATs) in Tableau and the procedure for renewing them are documented in Tableau's official resources. It is noted that PATs are long-lived authentication tokens that can be revoked and renewed to manage access securely1. Additionally, there have been discussions in the Tableau Community regarding issues with concurrent PAT access, which further supports the need to manage tokens effectively2.

NEW QUESTION # 15
A consultant wants to improve the performance of reports by moving calculations to the data layer and materializing them in the extract.
Which calculation should the consultant use?
  • A. POWER(ZN(SUM([Sales]))/
    LOOKUP(ZN(SUM([Sales])), FIRST()),ZN(1/(INDEX()-1)))- 1END
  • B. SUM([Profit])/SUM([Sales])
  • C. CASE [Sector Parameter]
    WHEN 1 THEN "green"
    WHEN 2 THEN "yellow"
  • D. ZN([Sales])*(1 - ZN([Discount]))
Answer: B
Explanation:
To improve performance by moving calculations to the data layer and materializing them in the extract, the consultant should choose calculations that benefit from pre-computation and significantly reduce the load during query time:
* Aggregation-Level Calculation: The formula SUM([Profit])/SUM([Sales]) calculates a ratio at an aggregate level, which is ideal for pre-computation. Materializing this calculation in the extract means that the complex division operation is done once and stored, rather than being recalculated every time the report is accessed.
* Performance Improvement: By pre-computing this aggregate ratio, Tableau can utilize the pre- calculated fields directly in visualizations, which speeds up report loading and interaction times as the heavy lifting of data processing is done during the data preparation stage.
References:
Materialization in Extracts: This concept involves pre-calculating and storing complex aggregations or calculations within the Tableau data extract itself, improving performance by reducing the computational load during visualization rendering.

NEW QUESTION # 16
A client calculates the percent of total sales for a particular region compared to all regions.

Which calculation will fix the automatic recalculation on the % of total field?
  • A. {FIXED [Region]:[Sales]}/{FIXED: SUM([Sales])}
  • B. {FIXED [Region]:sum([Sales])}/SUM([Sales]}
  • C. {FIXED [Region]:sum([Sales])}/{FIXED :SUM([Sales])
  • D. {FIXED [Region]:sum([Sales])}
Answer: B
Explanation:
To correctly calculate the percent of total sales for a particular region compared to all regions, and to ensure that the calculation does not get inadvertently recalculated with each region filter application, the recommended calculation is:
* {FIXED [Region]: sum([Sales])}: This part of the formula computes the sum of sales for each region, regardless of any filters applied to the view. It uses a Level of Detail expression to fix the sum of sales to each region, ensuring that filtering by regions won't affect the calculated value.
* SUM([Sales]): This part computes the total sum of sales across all regions and is recalculated dynamically based on the filters applied to other parts of the dashboard or worksheet.
* Combining the two parts: By dividing the fixed regional sales by the total sales, we get the proportion of sales for each region as compared to the total. This calculation ensures that while the denominator adjusts according to filters, the numerator remains fixed for each region, accurately reflecting the sales percentage without being affected by the region filter directly.
References
This calculation follows Tableau's best practices for using Level of Detail expressions to manage computation granularity in the presence of dashboard filters, as outlined in the Tableau User Guide and official Tableau training materials.

NEW QUESTION # 17
A client is searching for ways to curate and document data in order to obtain data lineage. The client has a data source connected to a data lake.
Which tool should the consultant recommend to meet the client's requirements?
  • A. Tableau Catalog without Tableau Data Management Add-on
  • B. Tableau Prep Conductor
  • C. Tableau Catalog with Tableau Data Management Add-on
  • D. Tableau Catalog with Tableau Server Management Add-on
Answer: C
Explanation:
To effectively curate and document data for obtaining data lineage, particularly from a data source connected to a data lake, the recommended tool is:
Tableau Catalog with Tableau Data Management Add-on: This add-on enhances the capabilities of Tableau Catalog, providing extensive features for data management, including detailed data lineage, impact analysis, and metadata management.
Functionality: The Tableau Catalog with the Data Management Add-on allows users to see the full history and lineage of the data, trace its usage across all Tableau content, and understand dependencies. It also facilitates better governance and transparency in data handling.
Why Choose this Tool: For a client needing comprehensive data lineage and documentation capabilities, this add-on ensures that data stewards and users can maintain and utilize a well-managed data environment. It supports robust data governance practices necessary for large and complex data ecosystems like those typically associated with data lakes.
References
The recommendation is based on the functionalities offered by the Tableau Data Management Add-on, as described in Tableau's official documentation on managing and documenting data sources for enhanced governance and operational efficiency.

NEW QUESTION # 18
......
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