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Salesforce Certified Tableau Consultant Sample Questions (Q90-Q95):
NEW QUESTION # 90
A client has a dashboard that renders in less than 10 seconds. The client receives a request to add a new calculated field that will return TRUE if a Project contains any one of the values "Project 1" or "Project 2" and FALSE otherwise. After adding the function found below, the dashboard's render time increases to 14 seconds from 10 seconds.
[Project] = 'Project 1' OR [Project] = 'Project 2'
Which function should the consultant use to reduce the render time?
- A. (([Project] = 'Project 1') OR ([Project] = 'Project 2'))
- B. [Project] IN ('Project 1' OR 'Project 2')
- C. [Project] = 'Project 1' AND [Project] = 'Project 2'
- D. [Project] IN ('Project 1', 'Project 2')
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Tableau documentation states that IN expressions are optimized internally for better query performance than multiple OR statements. They are pushed efficiently to the data source and simplified during query compilation.
The original expression uses two OR conditions, which increases the complexity of row-level evaluation:
[Project] = 'Project 1' OR [Project] = 'Project 2'
Tableau's performance guidelines recommend replacing multiple OR comparisons with an IN expression whenever possible:
[Project] IN ('Project 1', 'Project 2')
This reduces rendering time by minimizing row evaluation overhead and creating a cleaner, optimized logical condition.
Option D achieves this exactly.
Option A is logically incorrect because a project cannot simultaneously equal both values.
Option B is syntactically incorrect because IN expects a list, not an OR inside the list.
Option C is simply a reformatting of the original OR expression and provides no performance improvement.
Option D is the only valid, optimized solution.
* Tableau calculation optimization guidance recommending IN over OR for performance.
* Tableau's query performance notes indicating that OR statements expand logical branches and slow down evaluation.
* Best practices for row-level calculations suggesting simplified logical expressions.
NEW QUESTION # 91
A client wants to report Saturday and Sunday regardless of the workbook's data source's locale settings.
Which calculation should the consultant recommend?
- A. DATEPART('iso-weekday', [Order Date])>=6
- B. DATEPART('weekday', [Order Date])>=6
- C. DATENAME('iso-weekday', [Order Date])>=6
- D. DATEPART('iso-weekday', [Order Date])=1 or DATEPART('iso-weekday', [Order Date])=7
Answer: D
Explanation:
The calculation DATEPART('iso-weekday', [Order Date])=1 or DATEPART('iso-weekday', [Order Date])=7 is recommended because the ISO standard considers Monday as the first day of the week (1) and Sunday as the last day (7). This calculation will correctly identify Saturdays and Sundays regardless of the locale settings of the workbook's data source, ensuring that the report includes these days as specified by the client.
References: The use of the 'iso-weekday' part in the DATEPART function is consistent with the ISO 8601 standard, which is independent of locale settings. This approach is supported by Tableau's documentation on date functions and their behavior with different locale settings123.
To accurately identify weekends across different locale settings, using the 'iso-weekday' component is reliable as it is consistent across various locales:
ISO Weekday Function: The ISO standard treats Monday as the first day of the week (1), which makes Sunday the seventh day (7). This standardization helps avoid discrepancies in weekday calculations that might arise due to locale-specific settings.
Identifying Weekends: The calculation checks if the 'iso-weekday' part of the date is either 1 (Sunday) or 7 (Saturday), thereby correctly identifying weekends regardless of the locale settings.
References:
Handling Locale-Specific Settings: Using ISO standards in date functions allows for uniform results across systems with differing locale settings, essential for consistent reporting in global applications.
NEW QUESTION # 92
A client collects information about a web browser customers use to access their website. They then visualize the breakdown of web traffic by browser version.
The data is stored in the format shown below in the related table, with a NULL BrowserID stored in the Site Visitor Table if an unknown browser version accesses their website.
The client uses "Some Records Match" for the Referential Integrity setting because a match is not guaranteed.
The client wants to improve the performance of
the dashboard while also getting an accurate count of site visitors.
Which modifications to the data tables and join should the consultant recommend?
- A. Add an "Unknown" option to the Browser Table, reference its BrowserID in the Site Visitor Table, and leave the Referential Integrity set to
"Some Records Match." - B. Continue to use NULL as the BrowserID in the Site Visitor Table and change the Referential Integrity to "All Records Match."
- C. Continue to use NULL as the BrowserID in the Site Visitor Table and leave the Referential Integrity set to "Some Records Match."
- D. Add an "Unknown" option to the Browser Table, reference its BrowserID in the Site Visitor Table, and change the Referential Integrity to "All Records Match."
Answer: D
Explanation:
To improve the performance of a Tableau dashboard while maintaining accurate counts, particularly when dealing with unknown or NULL BrowserIDs in the data tables, the following steps are recommended:
* Modify the Browser Table: Add a new row to the Browser Table labeled "Unknown," assigning it a unique BrowserID, e.g., 0 or 4.
* Update the Site Visitor Table: Replace all NULL BrowserID entries with the BrowserID assigned to the "Unknown" entry. This ensures every record in the Site Visitor Table has a valid BrowserID that corresponds to an entry in the Browser Table.
* Change Referential Integrity Setting: Change the Referential Integrity setting from "Some Records Match" to "All Records Match." This change assumes all records in the primary table have corresponding records in the secondary table, which improves query performance by allowing Tableau to make optimizations based on this assumption.
References:
Handling NULL Values: Replacing NULL values with a valid unknown option ensures that all data is included in the analysis, and integrity between tables is maintained, thereby optimizing the performance and accuracy of the dashboard.
NEW QUESTION # 93
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?
- A. Use filters, hide unused fields, and aggregate values.
- B. Split some visualizations on the dashboard into many smaller visualizations on the same dashboard.
- C. Connect to the data source via a custom SQL query.
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 # 94
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. Use a calculated field that refers to a user-selected parameter to calculate shipping costs for each order and then display the aggregate values.
- B. Aggregate the orders then use a calculated field that refers to a user-selected parameter to calculate the shipping costs.
- C. 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.
- D. Recommend that the client model for only profitability for the next 24 hours instead of a full week.
Answer: A
Explanation:
For modeling shipping costs based on varying vendor contracts and ensuring speed in dashboard performance, the suggested approach involves:
Calculated Field with Parameter: Utilize a calculated field that dynamically references a user-selected parameter for the shipping vendor. This parameter adjusts the cost calculations based on selected vendor characteristics (like volume and speed).
Aggregate Results: After calculating individual shipping costs, aggregate these costs to provide a concise, summarized view of potential expenses for the upcoming week. This method ensures the dashboard remains performant by reducing the load of processing individual line items in real-time.
Why This Works: By using parameters and calculated fields, the dashboard can quickly adapt to user inputs without needing to re-query the entire dataset. Aggregating the results further improves performance and user experience by simplifying the output.
References
This strategy leverages Tableau's capability to handle dynamic calculations with parameters and is recommended for scenarios where performance and user-driven interaction are priorities. Tableau's performance optimization resources and dashboard design guidelines detail these techniques.
NEW QUESTION # 95
......
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