Microsoft Microsoft Certified: Azure AI Engineer Associate

Microsoft Microsoft Certified: Azure AI Engineer Associate Certification Practice Test Questions, Microsoft Microsoft Certified: Azure AI Engineer Associate Certification Exam Dumps

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The Microsoft Certified: Azure AI Engineer Associate certification is for those who design and implement different Azure AI solutions. It focuses on increasing your skills and knowledge of Azure technologies and helps you leverage AI by understanding machine learning, cognitive services, and knowledge mining. It’s also the certification to get if you want to be able to implement solutions that involve speech, language processing, and conversational AI.

Who’s This Certificate for?

If you are an IT specialist, mainly in the cloud computing sector, and want to have the qualification to become an Azure AI Engineer, this validation is the one to get as it has recently become essential with the additional demand for cloud computing specialists. Overall, as an AI Engineer, you’ll have to translate the data provided to you by solution architects, data scientists, and other cloud specialists to build solutions. To earn the aforementioned qualification, candidates must nail test AI-100 first.

AI-100 Exam Details

Microsoft does not have a list of prerequisites that you’ll need to take their AI-100 exam and earn your certification. However, they have a few recommendations so that you’re going to have a much easier time achieving it. Since Azure is a Microsoft-proprietary cloud platform, you must have a solid background in this area. Besides, you should have some necessary skills and knowledge of cloud technologies, be it Azure or others. It is also recommended that you have earned the Azure Fundamentals certification or any equivalent one. Additionally, you’ll need to have some hands-on work experience so you’ll have some general knowledge about Azure AI capabilities to make it easier for you to specialize. As for the exam details, all you need to do is to secure the certification cost that equals $165. The Microsoft AI-100, in particular, exam comes with 40-60 questions that you’ll need to answer in 180 minutes. Also, you will need to score 700 points out of 1000 to ultimately pass your test and earn your certification.

Topics Covered in AI-100 Test

The Microsoft AI-100 exam focuses on your understanding of machine learning and cognitive services. Here are the topics that you can expect when you take the official test:

• Analyze Solution Requirements

  As an Azure AI engineer, you’re going to need to know how to analyze situations so you can recommend the most efficient solution. Businesses often have different types of requirements, and you’ll need to integrate Azure Cognitive Services to meet those. Also, you should be aware of how to select the processing architecture for solutions and understand how choosing the right AI models and services can affect your bottom line. Security is also something that you need to look at as an Azure AI engineer to safeguard the data which you collect. Thus, you’ll have to map various security regulations of methods and processes so you can identify what you need to utilize not to undermine privacy and other regulatory requirements. Finally, candidates must understand how to choose the software and storage regulations that will be the appropriate fit for the proper solution and know how to identify integration points with other services to keep your work as streamlined as possible.

• Define AI Solutions

  You’re also going to need to design different AI solutions for a variety of scenarios. You’re surely going to be tested while developing solutions with several pipelines. Besides, you’ll have to build integration points to connect two workflows and pipelines. Cognitive Services is one of the essential functions that you’re going to work with as an Azure AI engineer. Next, you’re going to create solutions which use speech, language, vision, and others that leverage multiple features of this service. You’ll also have to be aware of how to design compute infrastructures for your solutions and see whether you need to create solutions based on your GPU or CPU resources. At last, you’re going to figure out whether you need a cloud-based, on-premises, or hybrid compute solution.

• Execute and Manage AI Solutions

  Working with AI solutions is one of the primary job descriptions of an Azure AI engineer. In the first place, you’ll need to grasp how to put into operation an AI workflow from developing pipelines to constructing different service interfaces. You’ll also have to know how to incorporate AI services as well as solution components. One of the things that you’re going to do here is to configure integration with Azure Cognitive Services and allow connectivity to the Microsoft Bot Framework. This way, your solutions will work with various services and apps. You’re also going to monitor AI environments like different components for availability. Additionally, you should be quick to recommend changes to solutions based on the gathered data. This is extremely important so you can continue to maintain those issues for improvement at all times.

Job Prospects after Passing AI-100 Test

Passing the Microsoft AI-100 exam is going to open a lot of new opportunities for you. As an Azure AI engineer, you’re going to enjoy a better salary than other cloud computing specialists. Those with the certification and AI skills & knowledge can command up to $90,000 yearly, according to ZipRecruiter.com. If you’re a machine learning specialist with AI skills and knowledge, you can fetch salaries starting with $75,000 on average as stated by Payscale.com. All in all, keep in mind that AI jobs are very much in demand right now, so you won’t have a problem when it comes to getting the right job for you after passing your test.

Career Path

As businesses move into cloud computing, they have also opened new professional avenues for everyone. Gaining your Azure AI Engineer certification is an excellent step into leveraging this field. Also, it’s a great way to take that leap into specializing and delving into Azure even more. You, for example, can opt for the Microsoft Certified: Azure Solutions Architect Expert certificate, which will make you a real master of various Azure as well as DevOps processes and solutions.

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