120+ AI-102 Microsoft Azure AI Engineer Associate Questions in RANDOMIZED mode, TIMED mode, REVIEW mode, and SECTION-BASED with Explanations, Reference Links, Score Tracking, Plus BONUS Flashcards

120+ AI-900 Microsoft Azure AI Fundamentals Questions in TIMED mode, REVIEW mode, SECTION-BASED, and RANDOMIZED TEST mode with Explanations, Reference Links, Score Tracking, Plus BONUS Flashcards

This free digital course will teach the important concepts about Amazon API Gateway and the things that you need to know to start building your serverless applications in AWS.

With Amazon API Gateway, you can create, publish, maintain, monitor, and secure APIs at any scale. This service connects applications to data, business logic, or functionality in your Amazon Web Services (AWS) environment or external systems. In this course, you will learn the benefits and technical concepts of API Gateway. If you are new to the service, you will learn how to start using API Gateway through a demonstration using the AWS Management Console. You will learn about how API Gateway streamlines the development and delivery of APIs while providing secure and reliable connections between applications and AWS services.

In this course, you will learn the benefits and technical concepts of Amazon Athena. If you are new to the service, you will learn how to start using Athena through a demonstration on the AWS Management Console. You will learn about querying data in Amazon Simple Storage Service (Amazon S3) using the Athena SQL query interface.

In this course, you will learn the benefits and technical concepts of Aurora. You will learn about Aurora's high performance, scalability, and efficient management capabilities that simplify database operations. If you are new to the service, you will learn how to start using Aurora through a demonstration using the AWS Management Console. You will learn about Aurora's high performance, scalability, and efficient management capabilities that simplify database operations.

⛔️ This has been decommissioned by AWS.

Alternatively, you can check other courses from the AWS Skill Builder site by going to this link: https://explore.skillbuilder.aws/learn/course/external/view/elearning/86/amazon-aurora-mysql-basics

Amazon Bedrock AgentCore was designed to help developers deploy and operate highly effective agents securely, at scale using any framework and model. AgentCore provides tools and capabilities to make agents more effective and capable. It has a purpose-built infrastructure to securely scale agents and controls to operate trustworthy agents. Amazon Bedrock AgentCore services are composable and work with popular open-source frameworks and any model. Learn how to effectively use AgentCore to build and scale reliable AI agents.

Amazon Bedrock is a fully managed service that offers leading foundation models (FMs) and tools to build and scale generative AI applications quickly. The service also helps ensure privacy and security.

With Amazon CloudFront, you can deliver digital content to users around the world quickly and reliably through a global network of edge locations. The service stores copies of your content in data centers worldwide. When users access your website or application, they connect to the location nearest to them. This means faster load times and better performance for all your users, whether they're watching videos, downloading files, or browsing your website. In this course, you will learn the benefits and technical concepts of Amazon CloudFront. If you are new to the service, you will learn how to start using CloudFront through a demonstration using the AWS Management Console. You will learn about how CloudFront improves content delivery performance by caching and serving content from locations closest to your users.

In this course, you will learn the benefits and technical concepts of Amazon CloudWatch. Using CloudWatch, developers and operators can improve the performance and availability of their applications. CloudWatch helps you observe and monitor resources and applications in AWS Cloud, hybrid, or on-premises environments. In this course, you will also review the basics of CloudWatch, including the business and technical challenges it can solve.

⛔️ This has been decommissioned by AWS.

Alternatively, you can use the course from the AWS Skill Builder site by going to this link: https://skillbuilder.aws/

Learn to extract and analyze medical information from unstructured text using Amazon Comprehend Medical for healthcare applications.

The self-service graphical interface in Amazon Connect makes it convenient for non-technical users to design contact flows, manage agents, and track performance metrics. This course will introduce you to the Amazon Connect console.

With Amazon Connect Contact Lens, organizations analyze customer conversations, evaluate agent performance, and continuously improve customer experience. In this course, you will recognize the benefits, typical use cases, and core concepts of Contact Lens. You will explore implementation scenarios and identify the key considerations to uncover trends, sentiment, and conversation characteristics from contact interactions. You will learn how post-contact summaries are used to replace manual note-taking so supervisors can review interactions efficiently.

With Amazon Connect, you can build conversational interfaces so users can interact using natural language through voice or text. In this course, you will learn the benefits, typical use cases, and core concepts of Amazon Connect Conversational Interfaces. You will explore real-world implementation scenarios and identify the key considerations to provide natural, human-like interactive experiences for customers across multiple channels. You will also learn routing strategies and their implementation within the Amazon Connect contact center platform.

An Amazon Connect Flow defines how a customer experiences an organization's contact center from start to finish. Flows enable businesses to customize their Interactive Voice Response (IVR) systems and optimize routing. For example, by using Flows, IVR designers can offer users a set of menu options and route calls based on their key-pad selections. Amazon Connect Flows empower businesses to reduce their customer effort by creating dynamic and personalized experiences.

With Amazon Connect routing, organizations can implement intelligent and customizable omnichannel routing strategies to connect customers to agents with the most appropriate skill set. In this course, you will learn the benefits, typical use cases, and core concepts of Amazon Connect routing. You will explore real-world implementation scenarios and identify the key considerations to enhance the customer experience and optimize contact center operations through effective routing.

Amazon Connect is a cloud contact center that helps you offer superior customer service. Because it is designed from the ground up to be omnichannel, Amazon Connect provides a seamless experience across voice, chat, and tasks for your customers and contact center agents. Amazon Connect includes tools for skills-based routing, powerful real-time and historical analytics, and intuitive management tools. With pay-as-you-go pricing, Amazon Connect can lower costs while improving contact center operations and agent efficiency.

With Amazon Data Firehose, you can capture, transform, and deliver streaming data to various destinations in near real time. In this course, you will learn the benefits and technical concepts of Firehose. If you are new to the service, you will learn how to start using Firehose through a demonstration using the AWS Management Console. You will learn about the architecture and how the built-in features can help you ingest and deliver data.