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TCC-C01試験練習問題、TCC-C01実際テスト質問、Tableau Certified Consultant有効トレーニング資料
無料でクラウドストレージから最新のJpexam TCC-C01 PDFダンプをダウンロードする:https://drive.google.com/open?id=14UCmuyIZ83R8-f8lCWCU8mkwCOMXRFe0
Jpexamは開発に従属しています。そして、当社の専門家は、試験の知識を3つのバージョンで示す製品に一般化します。 TCC-C01試験問題のPDFバージョン-顧客の印刷リクエストをサポートし、論文の印刷と練習ができます。 TCC-C01学習ガイドのソフトウェアバージョン-シミュレーションテストシステムのサポート。このバージョンはWindowsシステムユーザーのみをサポートすることを忘れないでください。 TCC-C01モッククイズのアプリ/オンラインバージョン-あらゆる種類の機器やデジタルデバイスに適しているため、履歴とパフォーマンスをより良く確認できます。
Tableau TCC-C01 認定試験の出題範囲:
トピック
出題範囲
トピック 1
- Establish Governance and Support Published Content: This section measures the skills of Tableau-certified consultants related to governance strategies within Tableau environments. Candidates will map governance requirements, recommend content access strategies, design administrative views, and identify external errors affecting performance.
トピック 2
- Design and Troubleshoot Calculations and Workbooks: This domain evaluates the ability to design advanced analytics and troubleshoot workbooks. Candidates will implement calculations, optimize performance, and plan interactivity for dashboards while resolving performance issues.
トピック 3
- Evaluate Current State: This domain measures the skills of Tableau-certified consultants in assessing the current analytics landscape. Candidates will evaluate existing reports and data structures to ensure alignment with business needs and recommend appropriate Tableau deployment options.
トピック 4
- Plan and Prepare Data Connections: This section focuses on planning data transformation and preparing connections, targeting Tableau-certified consultants. Candidates will recommend data storage methods, design row-level security structures, and troubleshoot complex data connection issues.
一生懸命にTCC-C01専門知識内容 & 合格スムーズTCC-C01トレーニング | 大人気TCC-C01最新テスト
JpexamはIT認定試験に関連する資料の専門の提供者として、受験生の皆さんに最も優秀な試験TCC-C01参考書を提供することを目標としています。他のサイトと比較して、Jpexamは皆さんにもっと信頼されています。なぜでしょうか。それはJpexamは長年の経験を持っていて、ずっとIT認定試験の研究に取り組んでいて、試験についての多くの規則を総括しましたから。そうすると、JpexamのTCC-C01教材は高い的中率を持つことができます。これはまた試験の合格率を保証します。従って、Jpexamは皆の信頼を得ました。
Tableau Certified Consultant 認定 TCC-C01 試験問題 (Q25-Q30):
質問 # 25
A client's dashboard has two sections dedicated to their shops and warehouses shown when a viewer chooses either shops or warehouses with a parameter.
There are a few quick filters that apply to both, while others apply to only shops or only warehouses.
Currently, the quick filters are all shown at the left side of the dashboard. The client wants to hide all filters, but when shown, make it easy for the viewer to find the quick filters that work for only shops or only warehouses.
Which solution should the consultant recommend that meets the client's needs and is most user-friendly?
- A. Divide the quick filters into three groups: General, for shops. Place the general filters on the left of dashboard for warehouses. Place other filters next to the sections to which they apply.
- B. Use Dynamic Zone Visibility to show only the quick filters that apply with the chosen parameter value and a Show/Hide Button to hide container with all the filters.
- C. Hide container with all quick filters with a Show/Hide Button.
- D. Use Dynamic Zone Visibility to inform viewers which quick filters apply to warehouses or shops.
正解:B
解説:
The most user-friendly solution is to use Dynamic Zone Visibility in combination with a Show/Hide Button.
This approach allows the dashboard to dynamically display only the relevant quick filters based on the viewer's selection of shops or warehouses, thus reducing clutter and focusing the user's attention on applicable filters.The Show/Hide Button further enhances the userexperience by allowing viewers to toggle the visibility of the filter container, providing a clean and organized dashboard interface1.
References:Dynamic Zone Visibility is a feature in Tableau that enables dashboard elements to appear or disappear based on the value of a field or parameter1.This functionality is ideal for creating interactive and user-friendly dashboards that adapt to user interactions and selections1.
質問 # 26
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 Prep
- B. Relating the tables in Tableau Desktop
- C. Blending the first two tables with the third
- D. Joining the tables in Tableau Desktop
正解:B
質問 # 27
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]:sum([Sales])}/SUM([Sales]}
- B. {FIXED [Region]:[Sales]}/{FIXED: SUM([Sales])}
- C. {FIXED [Region]:sum([Sales])}
- D. {FIXED [Region]:sum([Sales])}/{FIXED :SUM([Sales])
正解:A
解説:
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.
ReferencesThis 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.
質問 # 28
A company has a data source for sales transactions. The data source has the following characteristics:
. Millions of transactions occur weekly.
. The transactions are added nightly.
. Incorrect transactions are revised every week on Saturday.
The end users need to see up-to-date data daily.
A consultant needs to publish a data source in Tableau Server to ensure that all the transactions in the data source are available.
What should the consultant do to create and publish the data?
- A. Publish an incremental extract refresh every day and perform a full extract refresh every Saturday.
- B. Publish an incremental extract refresh every day and publish a secondary data set containing data revisions.
- C. Publish an incremental refresh every Saturday.
- D. Publish a live connection to Tableau Server.
正解:A
解説:
Given the need for up-to-date data on a daily basis and weekly revisions, the best approach is to use an incremental extract refresh daily to update the data source with new transactions. On Saturdays, when incorrect transactions are revised, a full extract refresh should be performed to incorporate all revisions and ensure the data's accuracy.This strategy allows end users to have access to the most current data throughout the week while also accounting for any necessary corrections12.
References:The solution is based on best practices for managing data sources in Tableau Server, which recommend using incremental refreshes for frequent updates and full refreshes when significant changes or corrections are made to the data12.
質問 # 29
A client is working in Tableau Prep and has a field named Orderld that is compiled by country, year, and an order number as shown in the following table.
What should the consultant use to transform the table in the most efficient manner?
- A. A calculated field that uses the LEFT function
- B. A calculated field that uses the TRIM function
- C. The Aliases option
- D. The Split option
正解:D
解説:
To transform theOrderldfield in Tableau Prep, the Split option is the most efficient and straightforward method. Here's how you can apply it:
* In Tableau Prep, drag your dataset into the flow.
* Click on theOrderldfield in the workspace to select it.
* Look for the option in the toolbar that says "Split" and select it.
* Choose "Automatic Split" if the delimiters (such as hyphens) are consistent; Tableau Prep should automatically detect the hyphen as the delimiter and split theOrderldinto multiple new fields.
* The dataset should now show new columns: one for the country code (CA, FR, US), one for the year (2017), and one for the order number (152156, 152157, etc.).
The Split option works effectively here because it automatically identifies and uses the hyphen as the delimiter to divide the originalOrderldinto the desired components without manual specification of conditions or writing any formulas.
ReferencesThis procedure is based on the standard functionalities provided in Tableau Prep for splitting a field into multiple columns based on a delimiter, as described in the Tableau Prep user guide.
質問 # 30
......
今日、Jpexam市場での競争は過去のどの時代よりも激しくなっています。 良い仕事を見つけたいなら、あなたは良い能力と熟練した主要な知識を所有していなければなりません。 そのため、TCC-C01最高の学習教材を提供するため、Tableau認定を取得する必要があります。 当社のTableau試験トレントは高品質で効率的であり、TCC-C01テストに合格するのにTableau Certified Consultant役立ちます。
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