Master Azure AI-102 Exam: Tips for Q11-Q15

Find AI Tools in second

Find AI Tools
No difficulty
No complicated process
Find ai tools

Table of Contents

Master Azure AI-102 Exam: Tips for Q11-Q15

Table of Contents:

  1. Introduction
  2. Building a Custom Form Recognizer Model 2.1 Scanning the Form 2.2 Selecting Files for Training 2.3 File Format Limitations
  3. Using Azure Cognitive Search 3.1 Enabling Server-Side Encryption 3.2 Customer Managed Keys 3.3 Implications of Using Customer Managed Keys
  4. Notifying Users about Data Processing 4.1 Processing Video and Text from a Public-Facing Website 4.2 Ensuring Transparency 4.3 Importance of Fairness, Reliability, and Safety
  5. Connecting Web Application to Azure Cognitive Service 5.1 Deploying and Configuring Service One 5.2 Azure Private Link vs Public Endpoint 5.3 Correct Approach for Connecting App One and Service One

Building Custom Form Recognizer Model

In this section, we will explore the process of building a custom form recognizer model. The model is designed to scan and extract information from various fields in a given form. We will discuss how to select the files for training and the limitations regarding file formats.

Using Azure Cognitive Search

Azure Cognitive Search is a powerful service that offers various functionalities, including search capabilities for large databases. We will focus on the customer's plan to enable server-side encryption and their decision to use customer-managed keys. We will also discuss the implications of this change on the search service.

Notifying Users about Data Processing

When developing a sales system that processes data from a public-facing Website, it is essential to notify users about their data being processed. We will explore the concept of transparency in AI systems and its significance in this Scenario. Additionally, we will discuss why fairness, reliability, and safety are not applicable in this Context.

Connecting Web Application to Azure Cognitive Service

In this section, we will address the challenge of connecting a web application running on a virtual machine to an Azure Cognitive Service. We will explore the option of creating a private link to ensure the service can be accessed without routing traffic over the public internet. We will compare this approach with using a public endpoint and IP firewall rules.

Conclusion

In conclusion, we have covered various topics related to Microsoft's EI102 practice exam questions. We discussed building a custom form recognizer model, using Azure Cognitive Search, notifying users about data processing, and connecting a web application to an Azure Cognitive Service. By understanding these concepts, You will be better prepared for the exam and can confidently tackle similar scenarios in real-world situations.

Highlights:

  • Building a custom form recognizer model to extract information from forms
  • Enabling server-side encryption and using customer-managed keys in Azure Cognitive Search
  • Ensuring transparency in data processing on a public-facing website
  • Establishing a private link to connect a web application with an Azure Cognitive Service

FAQ

Q: How can I train a custom form recognizer model? A: To train a custom form recognizer model, you need to scan the form and select relevant files for training. Ensure the selected files are in the appropriate formats, such as PDF or JPG.

Q: Why is transparency important in data processing? A: Transparency ensures that users are aware of how their data is being processed. It builds trust and allows users to make informed decisions about sharing their information.

Q: What is the AdVantage of using a private link instead of a public endpoint? A: A private link allows you to connect to a service without exposing it over the public internet. This enhances security and reduces the risk of unauthorized access to your resources.

Q: Can I use customer-managed keys in Azure Cognitive Search? A: Yes, Azure Cognitive Search supports customer-managed keys, which allows users to use their own keys for encryption and enhance control over data security.

Most people like

Are you spending too much time looking for ai tools?
App rating
4.9
AI Tools
100k+
Trusted Users
5000+
WHY YOU SHOULD CHOOSE TOOLIFY

TOOLIFY is the best ai tool source.

Browse More Content