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1.

You want to find information in Microsoft Word documents that are stored in an Azure Storage blob container. What should you do to ensure the files can be accessed by Azure AI Search?

Add a JSON file that defines an Azure AI Search index to the blob container

Enable anonymous access for the blob container

In an Azure AI Services resource, and add a data source that references the container where the files are stored

2.

You are creating an index that includes a field named modified_date. You want to ensure that the modified_date field can be included in search results. Which attribute must you apply to the modified_date field in the index definition?

searchable

filterable

retrievable

3.

You have created a data source and an index. What must you create to map the data values in the data source to the fields in the index?

A synonym map

An indexer

A suggester

4.

You want to create a search solution that uses a built-in AI skill to determine the language in which each indexed document is written, and enrich the index with a field indicating the language. Which kind of Azure AI Search object must you create?

Synonym map

Skillset

Scoring Profile

5.

You want your search solution to show results in descending order of the file_size field value. What is the simplest way to accomplish this goal?

Create a scoring profile that boosts results based on the file_size field

Make the file_size field facetable, and include a facet parameter that specifies the file_size field in queries.

Make the file_size field sortable, and include an orderby parameter that specifies the file_size field in queries.

6.

You have created a search solution. Users want to be able to enter a partial search expression and have the user interface automatically complete the input. What should you add to the index?

A suggester

A synonym map.

A scoring profile.

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