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[General] 実際的なAnalytics-Con-301トレーリング学習試験-試験の準備方法-ユニークなAnalytics-Con-301ブロンズ教材

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【General】 実際的なAnalytics-Con-301トレーリング学習試験-試験の準備方法-ユニークなAnalytics-Con-301ブロンズ教材

Posted at yesterday 23:06      View：14 | Replies：0        Print      Only Author   [Copy Link] 1#
無料でクラウドストレージから最新のShikenPASS Analytics-Con-301 PDFダンプをダウンロードする：https://drive.google.com/open?id=1NnglXqmoZSvz_XT4OqdnefA-Mlx7qtEc
幸せの生活は自分で作られて得ることです。だから、大人気なIT仕事に従事したいあなたは今から準備して努力するのではないでしょうか？さあ、ここで我々社のSalesforceのAnalytics-Con-301試験模擬問題を推薦させてくださいませんか。我が社のAnalytics-Con-301問題集は必ずあなたの成功へ道の助力になれます。
Salesforce Analytics-Con-301 認定試験の出題範囲：
トピック出題範囲
トピック 1
  • IT Management: This domain measures skills related to managing Tableau environments. It includes planning server upgrades, recommending deployment solutions (on-premise or cloud), and ensuring alignment between technical and business requirements for analytics infrastructure. It also involves troubleshooting and optimizing system performance relevant to Tableau Server and Cloud deployments.
トピック 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.
トピック 3
  • Data Visualization: This section evaluates the Tableau Consultant’s ability to design effective visual analytics solutions. It involves creating dashboards and visual reports that enhance user understanding, employing techniques like dynamic actions and advanced chart types, and ensuring performance optimization for an interactive user experience.

Salesforce Analytics-Con-301ブロンズ教材、Analytics-Con-301実際試験ShikenPASSのSalesforceのAnalytics-Con-301試験トレーニング資料は豊富な経験を持っているIT専門家が研究したもので、問題と解答が緊密に結んでいるものです。SalesforceのAnalytics-Con-301試験トレーニング資料は現在、市場上で一番質のいい学習教材です。ShikenPASSは無料でサンプルを提供することができる。うちの学習教材は君の認定試験に合格することに大変役に立ちます。
Salesforce Certified Tableau Consultant 認定 Analytics-Con-301 試験問題 (Q73-Q78):質問 # 73
A client is using the Tableau Content Migration Tool to move content from an old Tableau Server to a new Tableau Server.
Which content will need to be moved using a different tool or process?
  • A. Published data sources that use live connections
  • B. Published data sources that use extracts
  • C. Tableau Prep flows
  • D. Workbooks
正解：C
解説：
When migrating content between Tableau servers, certain types of content may require special consideration or different tools for migration:
Tableau Prep Flows: These are specific to Tableau Prep and are not included in the standard content migration capabilities of the Tableau Content Migration Tool. Tableau Prep flows often require separate processes for migration due to their distinct setup and integration with data sources and workflows.
Published Data Sources and Workbooks: These can typically be migrated directly using the Tableau Content Migration Tool, which supports moving published data sources (both live connections and extracts) and workbooks without requiring additional tools.
References:
Tableau Help and Support: Offers comprehensive tutorials and guidelines on using different tools for migrating various types of content, including the specific requirements for migrating Tableau Prep flows which are not covered by the standard content migration tool.

質問 # 74
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. ZN([Sales])*(1 - ZN([Discount]))
  • B. SUM([Profit])/SUM([Sales])
  • C. CASE [Sector Parameter]
    WHEN 1 THEN "green"
    WHEN 2 THEN "yellow"
  • D. POWER(ZN(SUM([Sales]))/
    LOOKUP(ZN(SUM([Sales])), FIRST()),ZN(1/(INDEX()-1)))
    - 1
正解：B
解説：
END
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.

質問 # 75
From the desktop, open the CC workbook.
Open the City Pareto worksheet.
You need to complete the Pareto chart to show the percentage of sales compared to the percentage of cities.
The chart must show references lines to visualize how the data compares to the Pareto principle.
From the File menu in Tableau Desktop, click Save.
正解：
解説：
See the complete Steps below in Explanation:
Explanation:
To complete the Pareto chart in the "City Pareto" worksheet of your Tableau Desktop and add reference lines to illustrate how the data compares to the Pareto principle, follow these steps:
* Open the CC Workbook and Access the Worksheet:
* From the desktop, double-click on the CC workbook to open it in Tableau Desktop.
* Navigate to the City Pareto worksheet by selecting its tab at the bottom of the window.
* Construct the Pareto Chart:
* Ensure that sales data is aggregated by city. If not, drag the 'City' dimension to the Columns shelf and the 'Sales' measure to the Rows shelf.
* Sort the sales data in descending order to properly align the cities according to their sales contribution.
* To create a running total of sales, right-click on the 'Sales' measure on the Rows shelf, select
'Quick Table Calculation', and choose 'Running Total'.
* Drag the 'Number of Records' field to the Rows shelf next to the Sales running total. Right-click on it, select 'Quick Table Calculation', and choose 'Running Total'. Set its calculation to 'Percent of Total' from the 'Edit Table Calculation' option to represent the percentage of cities.
* Add Reference Lines for the Pareto Principle:
* Click on the Analytics tab in the sidebar.
* Drag a 'Reference Line' element and drop it onto the chart area.
* Set the Reference Line for the Sales axis at 80% to represent the typical Pareto cutoff where 80% of effects come from 20% of causes.
* Add another Reference Line on the axis representing the percentage of cities, set at 20%, to visually assess the Pareto principle.
* Adjust the Appearance of the Chart:
* Format the reference lines by right-clicking on them, selecting 'Edit', and choosing a distinct style or color to make them stand out.
* Ensure the chart is clear and labels are appropriately adjusted for easy understanding of the data visualization.
* Save Your Changes:
* From the File menu, click 'Save' to ensure all your changes are stored.
References:
Tableau Help: Offers detailed guidance on creating Pareto charts and adding reference lines.
Tableau Visualization Best Practices: Provides tips on effectively displaying cumulative data and principles such as Pareto.
By following these steps, you will have successfully enhanced the City Pareto worksheet to include a complete Pareto chart with reference lines that illustrate how the sales data compares to the Pareto principle, making it easier to analyze and communicate the distribution of sales across cities.

質問 # 76
SIMULATION
Use the following login credentials to sign in
to the virtual machine:
Username: Admin
Password:
The following information is for technical
support purposes only:
Lab Instance: 40201223
To access Tableau Help, you can open the
Help.pdf file on the desktop.

From the desktop, open the CC workbook.
Open the Categorical Sales worksheet.
You need to use table calculations to
compute the following:
. For each category and year, calculate
the average sales by segment.
. Create another calculation to
compute the year-over-year
percentage change of the average
sales by category calculation. Replace
the original measure with the year-
over-year percentage change in the
crosstab.
From the File menu in Tableau Desktop, click
Save.
正解：
解説：
See the complete Steps below in Explanation
Explanation:
To compute the required calculations and update the worksheet in Tableau Desktop, follow these steps:
Compute Average Sales by Segment for Each Category and Year:
Open the CC workbook and navigate to the Categorical Sales worksheet.
Drag the 'Sales' field to the Rows shelf if it's not already there.
Drag the 'Segment' field to the Rows shelf as well, placing it next to 'Category' and 'Year'.
Right-click on the 'Sales' field in the Rows shelf and select 'Quick Table Calculation' > 'Average'. This will compute the average sales for each segment within each category and year.
Create a Calculation for Year-over-Year Percentage Change:
Right-click in the data pane and select 'Create Calculated Field'.
Name the calculated field something descriptive, e.g., "YoY Sales Change".
Enter the formula to calculate the year-over-year percentage change:
(ZN(SUM([Sales])) - LOOKUP(ZN(SUM([Sales])), -1)) / ABS(LOOKUP(ZN(SUM([Sales])), -1)) Click 'OK' to save the calculated field.
Replace the Original Measure with the Year-over-Year Percentage Change in the Crosstab:
Remove the original 'Sales' measure from the view by dragging it off the Rows shelf.
Drag the newly created "YoY Sales Change" calculated field to the Rows shelf where the 'Sales' field was originally.
Format the "YoY Sales Change" field to display as a percentage. Right-click on the field in the Rows shelf, select 'Format', and adjust the number format to percentage.
Save Your Changes:
From the File menu, click 'Save' to ensure all your changes are stored.
References:
Tableau Help: Offers guidance on creating calculated fields and using table calculations.
Tableau Desktop User Guide: Provides instructions on formatting and saving worksheets.
These steps allow you to manipulate data within Tableau effectively, using table calculations to analyze trends and changes in sales data by category and segment over years.

質問 # 77
For a new report, a consultant needs to build a data model with three different tables, including two that contain hierarchies of locations and products. The third table contains detailed warehousing data from all locations across six countries. The consultant uses Tableau Cloud and the size of the third table excludes using an extract.
What is the most performant approach to model the data for a live connection?
  • A. Joining the tables in Tableau Desktop
  • B. Blending the first two tables with the third
  • C. Relating the tables in Tableau Desktop
  • D. Joining the tables in Tableau Prep
正解：C
解説：
For a performant live connection in Tableau Cloud, especially when dealing with large datasets that preclude the use of extracts, relating the tables in Tableau Desktop is the recommended approach. This method allows for flexibility in how the data is queried and can improve performance by leveraging Tableau's relationships feature, which optimizes queries for the underlying database.
References: The best practices for live connections in Tableau Cloud suggest using relationships to manage complex data models efficiently1. Additionally, Tableau's documentation on connecting data sources recommends using relationships for better performance with live connections2.

質問 # 78
......
我々ShikenPASSはSalesforceのAnalytics-Con-301試験問題集をリリースする以降、多くのお客様の好評を博したのは弊社にとって、大変な名誉なことです。また、我々はさらに認可を受けられるために、皆様の一切の要求を満足できて喜ぶ気持ちでずっと協力し、完備かつ精確のAnalytics-Con-301試験問題集を開発するのに準備します。
Analytics-Con-301ブロンズ教材: https://www.shikenpass.com/Analytics-Con-301-shiken.html
無料でクラウドストレージから最新のShikenPASS Analytics-Con-301 PDFダンプをダウンロードする：https://drive.google.com/open?id=1NnglXqmoZSvz_XT4OqdnefA-Mlx7qtEc
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