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NEW QUESTION # 56
You connect to a database server by using Tableau Prep. The database server has a data role named Role1.
You have the following field in the data.
You need to apply the Role1 data role to the Material field.
Which two actions should you perform? Choose two.
Answer: B,D
Explanation:
To apply a custom data role to a field, you need to select the data type of the field and then choose the data role from the list of available roles. This will validate the values in the field against the data role and mark any invalid values with a red exclamation mark. To fix the invalid values, you can use the Group Values option and select the Spelling algorithm, which will group values that are close in spelling and replace them with the most frequent value in the group. This will help you standardize the values in the Material field and match them with the Role1 data role. References: The information is based on the following sources:
* Use Data Roles to Validate your Data - Tableau
* New in Tableau Prep: Automatically identify data quality issues with Data Roles
NEW QUESTION # 57
A Data Analyst needs to calculate the first Tuesday of each month in the data.
Which set of functions should the analyst use to perform this calculation?
Answer: C
NEW QUESTION # 58
You have the following dataset in Microsoft Excel.
You are using Data interpreter to cleans the dataset. Data interpreter provides the following results.
How many rows of data will be ingested into Tableau as values?
Answer: D
Explanation:
Data interpreter is a feature that helps you clean and structure your data in Excel before importing it into Tableau. It detects and removes any headers, footers, subtotals, or other elements that are not part of the actual data. It also splits any merged cells and fills in any missing values. In this case, data interpreter provides the following results:
* It removes the first three rows and the last two rows that contain headers and footers.
* It splits the merged cells in column A and fills in the missing values with "Fiction" or "Non-Fiction".
* It does not remove or change any other rows or cells.
Therefore, the number of rows of data that will be ingested into Tableau as values is 17, which is the number of rows left after removing the headers and footers. References: https://help.tableau.com/current/pro/desktop
/en-us/importing_cleaning_up_data.htm https://help.tableau.com/current/pro/desktop/en-us
/importing_data_interpreter.htm
Based on the Data Interpreter's results and the provided Excel dataset screenshot, the number of rows of data that will be ingested into Tableau as values is 17. The Data Interpreter has identified and excluded headers and footers, and the rows with actual data are considered for analysis.
NEW QUESTION # 59
You have the following dataset.
You need to generate the results in the Day field.
How should you complete the formula? (Use the dropdowns in the Answer Area to select the correct options to complete the formula.)
Answer:
Explanation:
Explanation:
NEW QUESTION # 60
You are developing a data source in Tableau Prep.
You have two tables named Orders and Employees.
The Orders table was created in 2019 and contains the following columns.
The Employees table contains all the employee information for the various sales teams in the sales department and contains the following columns You want to prepare the data so that you can analyze sales trends over time for every sales team.
Which three actions should you perform in order? (Place the three correct options in order. Use the arrows to move Options to Answer Area. Use Answer Area arrows to re-order the options.)
Answer:
Explanation:
There are different ways to prepare the data in Tableau Prep, but one possible answer is:
Answer area:
* Join the tables.
* Aggregate the data by Sales Team.
* Add the following filter to the Employees table: Sale Team - Team Alpha.
To analyze sales trends over time for every sales team, you need to combine the data from the Orders and Employees tables. You can do this by joining the tables on the Rep ID column, which is a common identifier for both tables. This will create a single table with all the columns from both tables. Next, you need to aggregate the data by Sales Team, which is the level of analysis you want. You can do this by grouping the data by the Sales Team column and applying an aggregation function (such as sum, average, count, etc.) to the other columns that you want to measure (such as Total Amount, Rep Tenure, etc.). This will create a summary table with one row for each sales team and the aggregated values for the other columns. Finally, you need to filter the data to focus on a specific sales team, such as Team Alpha. You can do this by adding a filter to the Employees table and selecting only the rows where Sales Team equals Team Alpha. This will remove the rows for other sales teams and keep only the data for Team Alpha.
References:
[Tableau Certified Data Analyst Exam Prep Guide], page 9, section "Preparing Data"
[Tableau Help: Join Your Data]
[Tableau Help: Aggregate Your Data]
[Tableau Help: Filter Your Data]
NEW QUESTION # 61
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