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Salesforce Certified Tableau Consultant Sample Questions (Q21-Q26):

NEW QUESTION # 21
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?

A. Replace the TOTAL([Opportunities]) calculation with a Grand Total.
B. Replace the Relative Date filter with a Multiple Values (Dropdown) filter on YEAR([Created Date]).
C. Replace the Multiple Values (Dropdown) filter with a Multiple Values (Custom List) filter.
D. Replace SUM([Value]) with WINDOW_SUM([Value]).

Answer: B

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 # 22
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 refresh every Saturday.
B. Publish a live connection to Tableau Server.
C. Publish an incremental extract refresh every day and publish a secondary data set containing data revisions.
D. Publish an incremental extract refresh every day and perform a full extract refresh every Saturday.

Answer: D

Explanation:
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.

NEW QUESTION # 23
A consultant migrated a data source to improve performance. The consultant wants to identify which workbooks need to be updated to point to the new data source.
Which Tableau tool should the consultant use?

A. Activity Log
B. Data Management
C. Tableau Advanced Management
D. Prep Conductor

Answer: C

Explanation:
To identify which workbooks need to be updated to point to a new data source after a migration, a consultant should use Tableau Advanced Management. This component of Tableau provides comprehensive management capabilities including the ability to track workbook dependencies and data source usage across your entire Tableau environment. Using Tableau Advanced Management allows consultants to assess the impact of changes in the data source on connected workbooks and efficiently manage updates.

NEW QUESTION # 24
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. The dashboard was published to a different project.
B. The dashboard was published with a new name.
C. New credentials were embedded into the data source.
D. Tableau Server was upgraded.

Answer: A,B

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 # 25
A consultant plans a Tableau deployment for a client that uses Salesforce. The client wants users to automatically see Tableau views of regional sales filtered by customer as soon as the users sign into Salesforce.
Which approach should the consultant use to deliver the final visualization?

A. Create subscriptions for each view to deliver reports by email.
B. Embed views into Salesforce.
C. Publish to Tableau Mobile for viewing.
D. Create a list of URLs that the users can click in Salesforce.

Answer: B

Explanation:
To ensure that users automatically see Tableau views of regional sales filtered by customer as they sign into Salesforce, embedding the views directly into Salesforce is most effective:
Embedding Views: Tableau provides capabilities to embed its dashboards into web applications such as Salesforce. This approach ensures that the visualization is part of the Salesforce user interface, enhancing user experience by not requiring users to navigate away from Salesforce to view the data.
Implement this by using Tableau's embedding code, which can be generated from the Tableau Server for each specific view. Place this embed code into the Salesforce Visualforce pages or use Salesforce Canvas to integrate these views seamlessly.
This setup allows the Tableau views to inherit user credentials from Salesforce, enabling personalized data visualization based on the user's access rights and region, directly aligned with their Salesforce login session.
References
The embedding technique is documented in both Tableau's and Salesforce's official integration guides, which provide step-by-step instructions on embedding Tableau views into Salesforce platforms.

NEW QUESTION # 26
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Analytics-Con-301 Valid Test Experience & Latest Analytics-Con-301 Test Pass4sure

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Salesforce Certified Tableau Consultant Sample Questions (Q21-Q26):

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