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Actual4Cert offers up-to-date Salesforce Analytics-Con-301 practice material consisting of three formats that will prove to be vital for you. You can easily ace the Salesforce Certified Tableau Consultant (Analytics-Con-301) exam on the first attempt if you prepare with this material. The Salesforce Analytics-Con-301 Exam Dumps have been made under the expert advice of 90,000 highly experienced Salesforce professionals from around the globe. They assure that anyone who prepares from it will get Salesforce Analytics-Con-301 certified on the first attempt.
| Certification Vendor: | Salesforce (Tableau) |
|---|---|
| Exam Name: | Salesforce Certified Tableau Consultant Exam |
| Exam Number: | Analytics-Con-301 |
| Available Languages: | French, Spanish, English, Japanese, German |
| Related Certifications: | Tableau Server Certified Associate Tableau Certified Data Analyst Tableau Desktop Specialist |
| Real Exam Qty: | 60 (approximately) |
| Exam Format: | Multiple choice, Multiple select |
| Certificate Validity Period: | 1 year (maintenance required annually via Trailhead maintenance modules) |
| Exam Duration: | 105 minutes |
| Exam Price: | $200 USD |
| Recommended Training: | Tableau Training on Trailhead Tableau eLearning |
| Exam Registration: | Tableau Certification Overview Salesforce Credentials Registration |
| Sample Questions: | Salesforce Analytics-Con-301 Sample Questions |
| Exam Way: | Online proctored or onsite testing center (Pearson VUE) |
| Pre Condition: | No strict prerequisites, but experience with Tableau Desktop and Tableau Server is strongly recommended. |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/tableau-consultant |
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NEW QUESTION # 13
An analyst needs to interactively set a reference date to drive table calculations without leaving a view.
Which action should the analyst use?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Tableau's documentation on Parameter Actions states that they allow users to interactively update a parameter directly from the view-without opening the parameter control box.
To "interactively set a reference date" that drives a table calculation:
* A parameter must hold that reference date.
* A parameter action allows clicking or selecting a mark in the view to update the parameter value.
* Table calculations can then reference that parameter to change their computation dynamically.
Filter actions modify which data is shown, not a reference date.
Running actions change sheets, not computation parameters.
Highlight actions visually accent marks but do not set values.
Thus, parameter actions are the only mechanism that meets the requirement.
* Parameter Actions overview describing interactive parameter updates.
* Use cases where parameter actions drive table calculations.
* Action type comparison showing that only parameter actions update a computation value.
NEW QUESTION # 14
A client is evaluating which user roles to assign to managers. The managers need to view dashboards, create Data-Driven Alerts, and perform ad hoc analysis of existing Tableau data sources. A consultant must provide a solution that minimizes licensing costs.
Which role should the consultant recommend be assigned to the managers?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Tableau documentation clearly defines user capabilities per license:
Viewer
* Can view dashboards only.
* Cannot create Data-Driven Alerts.
* Cannot perform ad hoc analysis.# Insufficient.
Explorer
* Can view dashboards.
* Can create Data-Driven Alerts.
* Can perform ad hoc analysis using existing published data sources.
* Does NOT require full creator-level capabilities.# Meets all requirements at lower cost than Creator.
Creator
* Full authoring, data source creation, and prep capabilities.
* Higher cost.# Overkill and violates "minimizes licensing costs."
Site Administrator
* Includes Creator capabilities plus admin privileges.
* Most expensive.# Not appropriate for managers.
Therefore, the correct and most cost-efficient role is Explorer.
* Tableau role capability matrix showing Explorers can create alerts and analyze existing data sources.
* Licensing guidance recommending Explorer for ad hoc analysis without data-source creation.
NEW QUESTION # 15
In what way does View Acceleration improve performance?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
View Acceleration is a Tableau Server and Tableau Cloud feature that speeds up slow-loading views by precomputing their queries in the background.
According to Tableau's server and cloud performance documentation:
* When View Acceleration is enabled for a view, Tableau runs the queries behind that view on a background process and stores the results in memory.
* When an end user later opens the view, Tableau can serve the precomputed results immediately, rather than running the potentially long-running queries at that moment.
* This improves initial load time significantly for views that are slow because of heavy queries.
It does not only work with extract-based data sources (it can also help with many live connections), so option A is too limited.
It does not change the client-side rendering engine, so option C is incorrect.
It is not specific to transient functions but to any view where the query is expensive, so option D is not accurate.
Therefore, the correct description is that View Acceleration precompiles and fetches workbook data in a background process, which matches option B.
* Tableau Server and Tableau Cloud help describing View Acceleration as precomputing and caching view results using background processes.
* Performance tuning guidance recommending View Acceleration for views with slow query execution.
NEW QUESTION # 16
A client has a pipeline dashboard that takes a long time to load. The dashboard is connected to only one large data source that is an extract.
It contains two calculated fields:
. TOTAL([Opportunities])
* SUM([Value])
It also contains two filters:
. A Relative Date filter on Created Date, a Date field containing values from 5 years ago until today
. A Multiple Values (Dropdown) filter on Account Name, a String field containing 1,000 distinct values A consultant creates a Performance Recording to troubleshoot the issue, and finds out that the longest-running event is "Executing Query." Which step should the consultant take to resolve this issue?
Answer: D
Explanation:
To improve the loading time of the pipeline dashboard, which primarily suffers from long query execution times due to a comprehensive Relative Date filter:
Relative Date Filter Issue: The existing Relative Date filter on "Created Date" covers a broad range (5 years), leading to significant data processing overhead as it includes granular date calculations over a large dataset.
Optimized Approach: By replacing the Relative Date filter with a Multiple Values (Dropdown) filter based on YEAR([Created Date]), the filter granularity is reduced. Filtering by year simplifies the query by limiting the volume of data processed and reducing the complexity of the filter condition.
Implementation Benefit: This approach still provides the flexibility to view data across different years but does so by reducing the load on the database during query execution, which is critical for improving the performance of the dashboard.
References
This recommendation aligns with Tableau performance optimization strategies, specifically regarding the management of date filters to minimize their impact on query load, as discussed in Tableau performance tuning sessions and guides.
NEW QUESTION # 17
A Tableau consultant is asked to evaluate a workbook that is slow to respond and make a recommendation on possible performance improvements. The workbook connects to three extract data sources from an SQL database. The sheets are used in five dashboards. The consultant runs a performance recording on the workbook and notices that the largest amount of time is spent on rendering the visualizations.
What is the most effective approach to reduce the workbook's rendering time?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
According to Tableau's Performance Optimization guidance, rendering time becomes the largest bottleneck when excessive marks, dense data, or overly complex visualizations appear on worksheets. Rendering is the last stage in the Tableau Order of Operations and is directly affected by how many marks must be drawn and how visually complex each view is.
Tableau's performance recommendations explain:
* When a performance recording shows that Rendering is the slowest step, the most effective improvement is to reduce the number of marks (records) in the view.
* Rendering time is determined by the number of marks, shapes, headers, labels, and visual elements Tableau must draw.
* Reducing the amount of data displayed on each worksheet is the most impactful change when rendering is the dominant delay.
Option B directly aligns with this: updating worksheets to reduce the number of records displayed lowers the number of marks, reduces visual density, and improves rendering speed.
Option A is not effective because changing dashboard size does not reduce the number of marks.
Option C would degrade performance because live connections are typically slower than extracts.
Option D improves data preparation and may reduce extract load times, but it does not directly address rendering unless the unused data was contributing to marks in the view. The question indicates the bottleneck is specifically rendering, so reducing marks is the most appropriate action.
Therefore, the most effective solution to reduce rendering time is to reduce the number of records (marks) displayed on worksheets.
* Tableau Performance Recording guidance describing rendering as the slowest stage when too many marks are present.
* Tableau Performance Checklist recommending reducing the number of marks in views to improve rendering.
* Tableau Desktop help sections on best practices for improving visualization performance when rendering dominates.
NEW QUESTION # 18
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