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| Certification Vendor: | Salesforce (Tableau) |
|---|---|
| Exam Name: | Salesforce Certified Tableau Consultant Exam |
| Exam Number: | Analytics-Con-301 |
| Exam Duration: | 105 minutes |
| Exam Format: | Multiple choice, Multiple select |
| Certificate Validity Period: | 1 year (maintenance required annually via Trailhead maintenance modules) |
| Available Languages: | Japanese, Spanish, English, French, German |
| Exam Price: | $200 USD |
| Related Certifications: | Tableau Server Certified Associate Tableau Desktop Specialist Tableau Certified Data Analyst |
| Real Exam Qty: | 60 (approximately) |
| Recommended Training: | Tableau eLearning Tableau Training on Trailhead |
| Exam Registration: | Salesforce Credentials Registration Tableau Certification Overview |
| 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 |
>> New Analytics-Con-301 Practice Materials <<
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NEW QUESTION # 18
A consultant is creating a dashboard to report on hourly sales data. The data should be refreshed hourly and is used for timely decision-making, so it is important to alert dashboard viewers when data has not been refreshed.
Which feature of Tableau Catalog should the consultant use to ensure dashboard viewers understand this message?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Tableau Catalog provides multiple features for communicating data quality and freshness.
Data Quality Warnings (DQWs) are part of Catalog's metadata management system and are specifically designed to inform users about data issues, including when data is stale.
There are two visibility levels:
1. Standard Visibility Data Quality Warning
* Appears subtly in metadata panels.
* Intended for non-critical issues.
* Does not guarantee the message will be seen by dashboard viewers.
2. High Visibility Data Quality Warning
* Designed for urgent, critical, and highly visible alerts.
* Displays a prominent warning indicator directly on connected dashboards, data sources, and workbooks.
* Tableau documentation states high-visibility warnings are used when users must be alerted, such as:
* Stale data
* Incomplete refreshes
* Data outages
Because the question emphasizes:
"important to alert dashboard viewers when data has not been refreshed" A standard warning is not strong enough, but a High Visibility Data Quality Warning is explicitly designed for this scenario.
Evaluation of the choices:
A). Standard Visibility Data Quality Warning - Not sufficient
It does not force dashboard users to notice the warning.
B). High Visibility Data Quality Warning - Correct
This option is specifically meant to notify users of critical freshness issues, making it the perfect match for the requirement.
C). Certified Data Source - Incorrect
Certification communicates trustworthiness, not freshness or alerts.
D). Lineage - Incorrect
Lineage shows data relationships and dependencies, not refresh warnings.
Conclusion
To alert viewers about stale data in hourly-refreshed dashboards, the consultant must use a High Visibility Data Quality Warning.
References From Tableau Catalog Documentation
* Description of Data Quality Warnings and their visibility levels.
* Definition of High Visibility DQWs as critical alerts shown to dashboard viewers.
* Catalog guidelines for stale data detection and communication.
NEW QUESTION # 19
An executive-level workbook leverages 37 of the 103 fields included in a data source. Performance for the workbook is noticeably slower than other workbooks on the same Tableau Server.
What should the consultant do to improve performance of this workbook while following best practice?
Answer: A
Explanation:
OD. Restrict users from accessing the workbook to reduce server load.
Explanation:
To improve the performance of a Tableau workbook, it is best practice to streamline the data being used. This can be achieved by using filters to limit the data to only what is necessary for analysis, hiding fields that are not being used to reduce the complexity of the data model, and aggregating values to simplify the data and reduce the number of rows that need to be processed. These steps can help reduce the load on the server and improve the speed of the workbook.
References: The best practices for optimizing workbook performance in Tableau are well-documented in Tableau's official resources, including the Tableau Help Guide and the Designing Efficient Workbooks whitepaper, which provide detailed recommendations on how to streamline workbooks for better performance12.
NEW QUESTION # 20
SIMULATION
Refer to the exhibit.
From the desktop, open the NYC
Property Transactions workbook.
You need to record the performance of
the Property Transactions dashboard in
the NYC Property Transactions.twbx
workbook. Ensure that you start the
recording as soon as you open the
workbook. Open the Property
Transactions dashboard, reset the filters
on the dashboard to show all values, and
stop the recording. Save the recording in
C:\CC\Data\.
Create a new worksheet in the
performance recording. In the worksheet,
create a bar chart to show the elapsed
time of each command name by
worksheet, to show how each sheet in
the Property Transactions dashboard
contributes to the overall load time.
From the File menu in Tableau Desktop,
click Save. Save the performance
recording in C:\CC\Data\.
Answer:
Explanation:
See the complete Steps below in Explanation
Explanation:
To record the performance of the Property Transactions dashboard in the NYC Property Transactions.twbx workbook and analyze it using a bar chart, follow these detailed steps:
Open the NYC Property Transactions Workbook:
From the desktop, double-click the NYC Property Transactions.twbx workbook to open it in Tableau Desktop.
Start Performance Recording:
Before doing anything else, navigate to the 'Help' menu in Tableau Desktop.
Select 'Settings and Performance', then choose 'Start Performance Recording'.
Open the Property Transactions Dashboard and Reset Filters:
Navigate to the Property Transactions dashboard within the workbook.
Reset all filters to show all values. This usually involves selecting the dropdown on each filter and choosing 'All' or using a 'Reset' button if available.
Stop the Performance Recording:
Go back to the 'Help' menu.
Choose 'Settings and Performance', then select 'Stop Performance Recording'.
Tableau will automatically open a new tab displaying the performance recording results.
Save the Performance Recording:
In the performance recording results tab, go to the 'File' menu.
Click 'Save As' and navigate to the C:\CC\Data\ directory.
Save the file, ensuring it is stored in the desired location.
Create a New Worksheet for Performance Analysis:
Return to the NYC Property Transactions workbook and create a new worksheet by clicking on the 'New Worksheet' icon.
Drag the 'Command Name' field to the Columns shelf.
Drag the 'Elapsed Time' field to the Rows shelf.
Ensure that the 'Worksheet' field is also included in the analysis to break down the time by individual sheets within the dashboard.
Choose 'Bar Chart' from the 'Show Me' options to display the data as a bar chart.
Customize and Finalize the Bar Chart:
Adjust the axes and labels to clearly display the information.
Format the chart to enhance readability, applying color coding or sorting as needed to emphasize sheets with longer load times.
Save Your Work:
Once the new worksheet and the performance recording are complete, ensure all work is saved.
Navigate to the 'File' menu and click 'Save', confirming that changes are stored in the workbook.
References:
Tableau Help Documentation: Provides guidance on how to start and stop performance recordings and analyze them.
Tableau Visualization Techniques: Offers tips on creating effective bar charts for performance data.
By following these steps, you have successfully recorded and analyzed the performance of the Property Transactions dashboard, providing valuable insights into how each component of the dashboard contributes to the overall load time. This analysis is crucial for optimizing dashboard performance and ensuring efficient data visualization.
NEW QUESTION # 21
A client needs to design row-level security (RLS) measures for their reports. The client does not currently have Tableau Data Management Add-on, and it may be an option in the future.
What should the consultant recommend as the safest and easiest way to manage for the long term?
Answer: C
Explanation:
For implementing row-level security (RLS) without the Tableau Data Management Add-on, the best approach is to integrate user filters into the published data source:
Creating User Filters on Published Data Source: This method involves defining user filters that apply directly to the data source before it is published to the Tableau Server. This ensures that any workbook or view leveraging this data source inherently respects the row-level security settings.
To implement this, create a calculated field in Tableau that defines the security logic, typically using a formula that references user functions (like USERNAME() or ISMEMBEROF()). Drag this field to the Filters shelf and configure it to match the security rules (who can see what data).
Once configured, publish the data source to Tableau Server with these filters in place. This approach centralizes security management, making it easier to maintain and update security policies as they are applied universally to all workbooks using this data source.
This strategy is safe as it reduces the risk of accidental data exposure through individual workbook misconfiguration and simplifies long-term maintenance of security policies.
References
This method follows Tableau's best practices for implementing row-level security as detailed in Tableau's security management resources. It ensures robust, maintainable security measures that scale with organizational needs without requiring additional add-ons.
NEW QUESTION # 22
A client notices that several groups are sharing content across divisions and are not complying with their data governance strategy. During a Tableau Server audit, a consultant notices that the asset permissions for the client's top-level projects are set to "Locked," but that "Apply to Nested Projects" is not checked.
The consultant recommends checking "Apply to Nested Projects" to enforce compliance.
Which impact will the consultant's recommendation have on access to the existing nested projects?
Answer: A
Explanation:
When "Apply to Nested Projects" is checked in Tableau Server, the permission rules set at the top-level project are enforced for all assets in the project and all nested projects. This means that any custom access previously granted to nested projects will be overridden, and the permissions will revert to those defined at the top-level project. This action ensures consistent application of the data governance strategy across all divisions.
References: The impact of checking "Apply to Nested Projects" is detailed in Tableau's official documentation, which explains how locked nested projects can be used to govern site content with greater flexibility and efficiency12.
NEW QUESTION # 23
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