Correct Answer:

Explanation:
The correct order of the three actions is:
* Add the date to the Columns shelf. Add the segment and the sales to the Rows shelf.
* Aggregate the date to month and year.
* From the Analytics pane, drag Forecast to the worksheet.
The first action is to add the date to the Columns shelf and the segment and the sales to the Rows shelf. This will create a line chart that shows the daily sales by segment over time. You can use the Show Me menu to choose a line chart if it is not selected by default.
The second action is to aggregate the date to month and year. This will group the daily sales into monthly sales and show the yearly trend. You can right-click on the date field on the Columns shelf and select Month (January 2017) from the menu. You can also drag Year from the Dimensions pane to the Columns shelf before or after Month.
The third action is to drag Forecast from the Analytics pane to the worksheet. This will add a forecast that predicts future sales by segment based on historical trends. You can customize the forecast by clicking on it and using the options on the Marks card.
The other options are not relevant for this scenario. Adding a trend line would show a linear or nonlinear relationship between two measures, but not a prediction of future values. Creating a calculated field that uses the model quantile function would return a value from a statistical model based on a given quantile, but not a forecast.
References: https://help.tableau.com/current/pro/desktop/en-us/analytics.htm https://help.tableau.com/current
/pro/desktop/en-us/buildmanual_shelves.htm https://help.tableau.com/current/pro/desktop/en-us/dates.htm
https://help.tableau.com/current/pro/desktop/en-us/analytics_forecast.htm https://help.tableau.com/current/pro
/desktop/en-us/functions_functions_statistical.htm#MODEL_QUANTILE

Correct Answer: C  🗳️

Correct Answer: B  🗳️

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Correct Answer: A  🗳️

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Correct Answer:

Select
Where
The correct way to complete the query is:
SELECT * FROM [dbo] . [Students]
WHERE [Students].[City] = 'Berlin'
The SELECT statement is used to retrieve data from a table or a view. The * symbol means that all columns will be returned. The FROM clause specifies the table or view name and the schema name.
The WHERE clause is used to filter the data based on a condition. The condition is [Students].[City] =
'Berlin', which means that only rows where the City column of the Students table is equal to 'Berlin' will be returned.
The other options are not relevant for this query. CAST is a function that converts a value from one data type to another. JOIN is a clause that combines data from two or more tables based on a common field. ON is a keyword that specifies the join condition. UNION is a set operation that combines the results of two or more queries into one result set.
References: https://docs.microsoft.com/en-us/sql/t-sql/queries/select-transact-sql?view=sql-server-ver15
https://docs.microsoft.com/en-us/sql/t-sql/queries/where-transact-sql?view=sql-server-ver15 https://docs.
microsoft.com/en-us/sql/t-sql/functions/cast-and-convert-transact-sql?view=sql-server-ver15 https://docs.
microsoft.com/en-us/sql/t-sql/queries/from-transact-sql?view=sql-server-ver15#join https://docs.microsoft.
com/en-us/sql/t-sql/language-elements/set-operators-union-transact-sql?view=sql-server-ver15