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Your client has created new custom map layer. How can this map layer be exposed in a project?
See the explanation below.
To expose a new custom map layer in a project, you need to do the following steps:
Navigate to the Console by clicking the Home icon on the top left corner of the screen and then clicking Console.
Click Maps on the left navigation pane to open the Maps page.
On the Map Layers tab, click Upload to upload your custom map layer file. The file must be in XML format and follow the Oracle Analytics Cloud map layer specification.
You have created the product type dashboard prompt and applied it to the Sales dashboard. In the Sales dashboard, you have three pages: Sales, Order, and Revenue.
The dashboard prompt is applied to all pages, but you want it only for the Sales page.
What configuration changes are required to change the dashboard prompt range?
See the explanation below.
To change the dashboard prompt range from all pages to only the Sales page, you need to do the following steps:
In the Dashboard editor, edit the dashboard prompt properties by clicking the Edit View button on the top right corner of the prompt.
In the Scope tab, select Page as the scope option and choose Sales as the page name from the drop-down list.
Which two can be used to display as prompts in your Publisher report?
See the explanation below.
Two types of filters that can be used to display as prompts in your Publisher report are:
Number filters. A number filter allows you to specify a numeric value or a range of numeric values for a column using operators such as equals, not equals, greater than, less than, or between. For example, you can use a number filter to prompt users to enter a minimum or maximum sales amount for your report.
Expression filters. An expression filter allows you to specify a logical expression for a column using operators such as AND, OR, NOT, or parentheses. For example, you can use an expression filter to prompt users to enter a combination of conditions for your report, such as region equals South AND sales amount greater than 1 million USD. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
You have created a line chart visualization of revenue data at the day level. The chart display the last 365 days of data.
See the explanation below.
To create a line chart visualization of revenue data at the day level that displays the last 365 days of data and the next 90 days of forecast, you need to add a forecast and change the Period value to 90. A forecast is a feature that allows you to predict future values of a measure based on historical data using various methods, such as linear, exponential, or seasonal. The Period value specifies how many future values you want to forecast. For example, you can add a forecast to your line chart and set the Period value to 90 to see the projected revenue for the next 90 days. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
Identify the correct use of BI Ask.
See the explanation below.
The correct use of BI Ask is that it is used to enable user input in natural language. It extracts column names from the user input and quickly builds visuals for the columns extracted. BI Ask is a feature that allows you to create analyses using natural language queries instead of dragging and dropping columns from the subject area pane. You can type or speak your query in BI Ask and it will automatically generate the best visualization for your query based on the columns extracted from your input. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
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