Azure Cognitive Search: Step-by-Step Implementation Guide

Step-by-Step Implementation Guide for Azure Cognitive Search

Prev Question Next Question

Question

The project team is implementing search-related features and using Azure Cognitive Search for this.

Arrange the below steps in the correct sequence so that the project team can use Azure Cognitive Search without issues.

1: Send queries and handle responses.

2: Create an index.

3: Provision service.

4: Load data.

Answers

A. 3 --> 2 --> 4 --> 1

B. 3 --> 1 --> 4 --> 2

C. 2 --> 3 --> 4 --> 1

D. 1 --> 2 --> 3 --> 4

Show Answer

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

Correct Answer: A.

Option A is CORRECT.

The correct sequence is.

Step 1: Provision service.

Step 2: Create an index.

Step 3: Load data.

Step 4: Send queries and handle responses.

Option B is INCORRECT.

The second and last steps are incorrectly sequenced in this option.

Option C is INCORRECT.

First and the Second steps are incorrectly sequenced in this option.

Option D is INCORRECT.

First, Third and the fourth steps are incorrectly sequenced in this option.

Reference:

Sure, here's a detailed explanation of the correct sequence of steps to use Azure Cognitive Search without issues:

Provision Service: The first step is to provision an Azure Cognitive Search service in your Azure subscription. This involves creating a search service instance in Azure and specifying the pricing tier, location, and other configuration settings for your search service.
Create an Index: The next step is to create an index, which is a schema that defines the structure of the data that you want to search. You'll need to define the fields that you want to index, the types of those fields, and any other relevant settings such as search analyzers, suggesters, or scoring profiles.
Load Data: After you've created an index, you need to load data into the search service. You can do this by connecting to various data sources such as Azure Blob Storage, Azure Table Storage, Azure Cosmos DB, or SQL Server. You'll need to map the fields in your data source to the fields in your index, and then load the data into the search index.
Send Queries and Handle Responses: Once you have loaded data into the search index, you can start querying it. You can use the Azure Cognitive Search REST API to send queries to your search service and retrieve search results. You'll need to handle the responses from the search service and display the results to the user in a meaningful way.

So, the correct sequence of steps to use Azure Cognitive Search without issues is A) 3 -> 2 -> 4 -> 1. You need to provision the search service first, create an index second, load data into the index third, and then send queries and handle responses fourth.

Prev Question Next Question