Hello world! - ASHADIP COMPUTERS

Mark Walker Mark Walker

0 Course Enrolled • 0 Course Completed

Biography

2025 Newest Analytics-Con-301 Exam Cram Review | Analytics-Con-301 100% Free Trustworthy Source

P.S. Free 2025 Salesforce Analytics-Con-301 dumps are available on Google Drive shared by Pass4Leader: https://drive.google.com/open?id=1eAz05ovEh9kqD-ag5vtvTdSClbZpGSbO

The Salesforce is committed to making the Salesforce Analytics-Con-301 certification exam journey simple, smart, and easiest. The mock Salesforce Certified Tableau Consultant exams that will give you real-time environment for Salesforce Analytics-Con-301 exam preparation. To keep you updated with latest changes in the Analytics-Con-301 Test Questions, we offer one-year free updates in the form of new questions according to the requirement of Analytics-Con-301 real exam. Updated Analytics-Con-301 PDF dumps ensure the accuracy of learning materials and guarantee success of in your first attempt.

To advance your career, take the Salesforce Certified Tableau Consultant exam. Your Salesforce Certified Tableau Consultant demonstrates your commitment to lifelong learning. Passing the Salesforce Certified Tableau Consultant exam in one sitting is not a walk in the park. The Salesforce Analytics-Con-301 exam preparation process takes a lot of time and effort. You have to put time and money into passing the Salesforce Certified Tableau Consultant exam. The best method to reap the rewards of your investment in becoming an Salesforce Horizon & Salesforce is by using Salesforce Analytics-Con-301 Exam Questions. Additionally, you can confidently study for the Analytics-Con-301 exam.

>> Analytics-Con-301 Exam Cram Review <<

Trustworthy Analytics-Con-301 Source | Best Analytics-Con-301 Study Material

Our company pays high attentions to the innovation of our Analytics-Con-301 study dump. We constantly increase the investment on the innovation and build an incentive system for the members of the research expert team. Our experts group specializes in the research and innovation of our Analytics-Con-301 exam practice guide and supplements the latest innovation and research results into the Analytics-Con-301 Quiz prep timely. Our experts group collects the latest academic and scientific research results and traces the newest industry progress in the update of the Analytics-Con-301 study materials.

Salesforce Analytics-Con-301 Exam Syllabus Topics:

Topic
Details

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

Data Management: This part focuses on establishing governance and support for published content. Tableau Consultants are expected to manage data security, publish and maintain data sources and workbooks, and oversee content access. It includes applying governance best practices, using metadata APIs, and supporting administration functions to maintain data integrity and accessibility.

Topic 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.

Topic 4

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.

Salesforce Certified Tableau Consultant Sample Questions (Q19-Q24):

NEW QUESTION # 19
A consultant creates a histogram that presents the distribution of profits across a client's customers. The labels on the bars show percent shares. The consultant used a quick table calculation to create the labels.
Now, the client wants to limit the view to the bins that have at least a 15% share. The consultant creates a profit filter but it changes the percent labels.
Which approach should the consultant use to produce the desired result?

A. Filter with a table calculation WINDOW_AVG(MIN([Profit]), first(), last())
B. Use a calculation with TOTAL() function instead of a quick table calculation.
C. Add the [Profit] filter to the context.
D. Filter with the table calculation used to create labels.

Answer: C

Explanation:
When a filter is applied directly to the view, it can affect the calculation of percentages in a histogram because it changes the underlying data that the quick table calculation is based on. To avoid this, adding the [Profit] filter to the context will maintain the original calculation of percent shares while filtering out bins with less than a 15% share. This is because context filters are applied before any other calculations, so the percent shares calculated will be based on the context-filtered data, thus preserving the integrity of the original percent labels.
References: The solution is based on the principles of context filters and their order of operations in Tableau, which are documented in Tableau's official resources and community discussions123.
When a histogram is created showing the distribution of profits with labels indicating percent shares using a quick table calculation, and a need arises to limit the view to bins with at least a 15% share, applying a standard profit filter directly may undesirably alter how the percent labels calculate because they depend on the overall distribution of data. Placing the [Profit] filter into the context makes it a "context filter," which effectively changes how data is filtered in calculations:
Create a Context Filter: Right-click on the profit filter and select "Add to Context". This action changes the order of operations in filtering, meaning the context filter is applied first.
Adjust the Percent Calculation: With the profit filter set in the context, it first reduces the data set to only those profits that meet the filter criteria. Subsequently, any table calculations (like the percent share labels) are computed based on this reduced data set.
View Update: The view now updates to display only those bins where the profits are at least 15%, and the percent share labels recalculated to reflect the distribution of only the filtered (contextual) data.
References:
Context Filters in Tableau: Context filters are used to filter the data passed down to other filters, calculations, the marks card, and the view. By setting the profit filter as a context filter, it ensures that calculations such as the percentage shares are based only on the filtered subset of the data.

NEW QUESTION # 20
A client has a published dashboard. They change the dashboard and then republish it. Now, users report that their web browser bookmarks to the dashboard are broken.
What are two possible causes for this issue? Choose two.

A. Tableau Server was upgraded.
B. The dashboard was published to a different project.
C. The dashboard was published with a new name.
D. New credentials were embedded into the data source.

Answer: B,C

Explanation:
When a client republishes a dashboard after making changes and users report broken bookmarks, the likely causes include:
The dashboard was published to a different project: Changing the project location alters the URL path, causing bookmarks to point to a now non-existent dashboard location.
The dashboard was published with a new name: Altering the dashboard's name changes its URL, resulting in broken bookmarks as the previous URL no longer leads to the intended dashboard.

NEW QUESTION # 21
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. Hide container with all quick filters with a Show/Hide Button.
C. Use Dynamic Zone Visibility to inform viewers which quick filters apply to warehouses or shops.
D. 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.

Answer: D

Explanation:
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 user experience 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.

NEW QUESTION # 22
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. SUM([Profit])/SUM([Sales])
B. CASE [Sector Parameter]
WHEN 1 THEN "green"
WHEN 2 THEN "yellow"
C. ZN([Sales])*(1 - ZN([Discount]))
D. POWER(ZN(SUM([Sales]))/
LOOKUP(ZN(SUM([Sales])), FIRST()),ZN(1/(INDEX()-1)))
- 1

Answer: A

Explanation:
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.

NEW QUESTION # 23
A client wants to see data for only the last day in a dataset and the last day is always yesterday. The date is represented with the field Ship Date.
The client is not concerned about the daily refresh results. The volume of data is so large that performance is their priority. In the future, the client will be able to move the calculation to the underlying database, but not at this time.
The solution should offer the best performance.
Which approach should the consultant use to produce the desired results?

A. Filter on Ship Date field using the Yesterday option.
B. Filter on calculation [Ship Date]={MAX([Ship Date])}.
C. Filter on calculation [Ship Date]=TODAY()-1.
D. Filter MONTH/DAY/YEAR on [Ship Date] field and use an option to filter to the latest date value when the workbook opens.

Answer: C

Explanation:
The best approach to ensure performance while providing data for only the last day (yesterday) in the dataset is to use a calculated field that filters the data to include only yesterday's date:
Filter on calculation [Ship Date]=TODAY()-1: This calculated field dynamically computes yesterday's date by subtracting one day from today's date. This approach ensures that each day, only the data for the previous day is loaded, which keeps the volume of data minimal and improves performance.
Dynamic Date Calculation: The use of TODAY()-1 ensures the filter remains up-to-date with the changing dates, without the need for manual updates, providing accuracy and timeliness in the dashboard.
This approach is efficient because it avoids the overhead of processing the entire dataset and focuses only on the relevant day's data. It also aligns with Tableau's capabilities for creating dynamic filters using date functions, as highlighted in the Tableau help documentation on date calculations and filters.
References
This solution utilizes Tableau's built-in date functions and dynamic calculations to optimize performance, as recommended in Tableau's performance optimization resources and date calculation guidelines.

NEW QUESTION # 24
......

Once downloaded from the website, you can easily study from the Salesforce Certified Tableau Consultant exam questions compiled by our highly experienced professionals as directed by the Salesforce Analytics-Con-301 exam syllabus. The Salesforce Analytics-Con-301 Dumps are given regular update checks in case of any update. We make sure that candidates are not preparing for the Salesforce Certified Tableau Consultant exam from outdated and unreliable Analytics-Con-301 study material.

Trustworthy Analytics-Con-301 Source: https://www.pass4leader.com/Salesforce/Analytics-Con-301-exam.html

BTW, DOWNLOAD part of Pass4Leader Analytics-Con-301 dumps from Cloud Storage: https://drive.google.com/open?id=1eAz05ovEh9kqD-ag5vtvTdSClbZpGSbO