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Reference: https://trailheadacademy.salesforce.com/certificate/exam-tableau-consultant---Analytics-Con-301
Salesforce Certified Tableau Consultant Sample Questions:
A client has a data source that stores a time stamp for each time a user interacts with a product feature. They visualize 3 years of data at the daily level. As adoption has grown over the last 6 months, the dashboard performance has steadily decreased, despite connecting via a data extract that is set to refresh every hour.
A Tableau consultant needs to improve performance of the dashboard with the least impact to the visualization.
Which option meets these requirements without additional cost?
- A. Add extract filters to limit the number of product features visualized.
- B. Decrease the extract refresh to once a day.
- C. Leverage Tableau Prep to aggregate the data to the daily product level.
- D. Invest in an extract, transform, load (ETL) tool to aggregate the data to a daily level.
Correct Answer: C 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
A company uses an extract built from Custom SQL joining Claims and Members.
Members have multiple records in both tables # causing data duplication, which results in inflated claim cost trends.
Which approach meets performance and maintenance goals?
- A. Use LOD calculations to ensure that claim costs are captured at the right granularity.
- B. Use Table Calculations to ensure that claim costs are captured at the right granularity.
- C. Replace the Custom SQL with a join between two Physical Tables: Members and Claims.
- D. Replace the Custom SQL with a relationship between two Logical Tables: Members and Claims.
Correct Answer: D 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
A client wants guidance for Creators to build efficient extracts from large data sources.
What are three Tableau best practices that the Creators should use? Choose three.
- A. Include all the data from the original data source in the extract.
- B. Use aggregate data for visible dimensions, whenever possible.
- C. Hide all unused fields.
- D. Use only live connections as they are always faster than extracts.
- E. Keep only the data required for analysis by using extract filters.
Correct Answer: B,C,E 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
A client has several long-term shipping contracts with different vendors that set rates based on shipping volume and speed. The client requests a dashboard that allows them to model shipping costs for the next week based on the selected shipping vendor. Speed for the end user is critical.
Which dashboard building strategy will deliver the desired result?
- A. Recommend that the client model for only profitability for the next 24 hours instead of a full week.
- B. Aggregate the orders then use a calculated field that refers to a user-selected parameter to calculate the shipping costs.
- C. Use a calculated field that refers to a user-selected parameter to calculate shipping costs for each order and then display the aggregate values.
- D. Calculate the potential shipping cost for each order with each vendor, display the aggregate costs in a large table, and use quick filters to limit the options visible to the user.
Correct Answer: C 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
A transport and delivery company uses a command center dashboard in its logistics and distribution hubs. The dashboard is displayed on screens to show fleet movements, delivery status, and warehouse operations. The company needs the dashboard to provide up-to-date information without human intervention. The company's environment cannot access the internet, and the data source is configured to maintain a real-time connection.
How should the company meet this requirement?
- A. Build a web app with dashboard extension API that refreshes the dashboard at regular intervals. Host the web app on the company's web server.
- B. Schedule a prep flow to refresh the dashboard at regular intervals.
- C. Search and download a suitable sandboxed dashboard extension from Tableau Exchange to refresh the dashboard at regular intervals.
- D. Configure the data source to extract instead of live. Schedule the extract refresh of data at regular intervals.
Correct Answer: A 🗳️
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