You are tasked to provide self-directed drill down in your e-commerce application for the search criterias such as price, popularity and ratings.
You plan to use faceted navigation in Azure Cognitive Search using the fields that you attributed in your schema.
Using the faceted navigation you provide the self-directed UI controls for the filtered search query results.
Review the steps below for creating a faceted navigation structure and put them in correct order.
(choose the most appropriate answer choice for the right order) Step A: Add facet filters to a query Step B: Build the index and load data Step C: Choose fields for faceting & filtering Step D: Set attributes on the field Step E: Return filtered results.
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answer: B
Here is the correct order of steps for creating faceted navigation in Azure Cognitive Search: Choose fields for faceting & filtering.
In this step, you will set the facetable and filterable value to true.
Set attributes on the field.
In this step, set facetable value to false for fields that should not be used as facets.
Build and load the index.
In this step, build the index and load the JSON documents.
Add facet filters to a query.
In this step, create the query by including facets and filters and other attributes.
Return filtered results.
In this step, get the query results on the click event.
Given the sequence of steps given in the explanation above,
Option A is incorrect.
Given the sequence of steps given in the explanation above, Option B is correct.
Given the sequence of steps given in the explanation above, Option C is incorrect.
Given the sequence of steps given in the explanation above, Option D is incorrect.
Reference:
To learn more about faceted navigation in cognitive search, use the link given below:
The correct order for creating a faceted navigation structure in Azure Cognitive Search is:
Step B: Build the index and load data First, you need to create an index and load data into it. The index schema defines the fields that can be searched and filtered, so it's important to design it carefully.
Step C: Choose fields for faceting & filtering Once you have loaded the data, you need to choose the fields that you want to use for faceting and filtering. These fields should be relevant to the search criteria that you want to enable. For example, if you want to allow users to filter by price, you need to choose a field that contains the product price.
Step D: Set attributes on the field For each field that you want to use for faceting and filtering, you need to set the appropriate attributes. These attributes specify how the field should be treated during search and filtering. For example, you can specify that a field should be treated as a numeric field, which enables range filtering.
Step A: Add facet filters to a query Once you have defined the facetable and filterable fields and set their attributes, you need to add facet filters to a query. Facet filters allow users to select the search criteria they want to use and filter results based on those criteria. For example, you might allow users to filter by price range or rating range.
Step E: Return filtered results Finally, you need to return the filtered results to the user. The user interface should display the facets that are available for filtering, and the user should be able to select one or more facets to refine their search. The search results should be updated dynamically as the user selects facets.
Therefore, the correct answer is option D: Step D -> Step B -> Step C -> Step A -> Step E.