With the growing level of cloud technology in Microsoft, there has been the introduction of the latest skills and areas that individuals are trying to master. As a result, the interest in clearing the Microsoft Azure certifications for enhancing new skills has shown a rapid increase. But, on the other side, this has also increased the level of competition in the job market because everyone is fighting for the same job. So, you must know that with earning a certification it is equally important to prepare for the job interview as well.
Related to this, for those who are preparing to become Azure Professional or those who have just started. In this blog, we will be discussing the topmost questions to help you pass the interview.
An Inside Scoop of Azure Cognitive Services
Microsofts Azure Cognitive Services is a package full of useful, intelligent Application Programming Interface (APIs) designed for the apps in the cloud.
Azure Cognitive Services combines machine learning, analytics, artificial intelligence, and a variety of different tools with vision.
What exactly is Azure Cognitive Services?
Azure Cognitive Services is an excellent suite to create an automated, interactive model for an application. It enables developers to infuse superior intelligence capabilities into apps in order to deliver natural, contextual interactions.
Azure Cognitive Services supports the development of applications with compelling algorithms through minimal coding. It is easy to get Azure Cognitive Services up and running with various options for continuous enhancements across platforms and devices.
As mentioned above, Azure Cognitive Services meshes a set of Application Programming Interface (APIs), to deploy natural, contextual interactions within applications.
There are multiple APIs available to work on in Microsoft’s Azure Cognitive Services, out of which the most prominent ones are discussed below –
The Language API in Azure Cognitive Services enables applications to process the natural language, evaluate user sentiments, learn, recognize, and adapt to the varying needs and behavior of a user.
Language Understanding Intelligent Service helps applications to understand specific commands from a user. LUIS has been designed by Microsoft to accommodate the easy development of models, enabling applications to recognize user commands.
The Text Analytics API logically evaluates topics and sentiment to understand different user commands. The API, developed by Microsoft, seamlessly detects languages, topics, key phrases, and sentiment from the text.
Text Analytics API is basically a text analytics web services suite created with Azure Machine Learning. There is no need for training data to use this API. Just bringing in the text data will work fine.
The API employs best-in-class natural language processing techniques to leverage top-grade predictions.
The Translator Text API in Azure Cognitive Services is an automatic cloud-based translation service that supports multiple languages. The API easily performs real-time translation of the text with a simplistic REST API call.
Translator Text API could be deployed to create websites, tools, applications, or any other solution that require support for multiple languages.
The Speaker Recognition API, according to Microsoft, utilizes speech to detect and authenticate individual speakers. It provides applications the power to understand and recognize the person talking.
Speaker Verification verifies and authenticates the speaker through a defined passphrase.
Speaker Identification in Azure Cognitive Services is an incredibly intelligent tool that identifies speakers in applications. It matches speech with the speaker. The tool can easily identify speech and voice from a set of already known speakers.
/Vision processing algorithms in Azure Cognitive Services help to automate content moderation. The powerful algorithms enable the development of more personalized applications with smart insights on facial recognition, emotions, and s.
The Face API, integrated by Microsoft in Azure Cognitive Services, identifies, analyzes, and organizes faces in any given . It also provides users the opportunity to tag faces in a photo. The super-intelligent Face API presents the most robust face algorithms, facilitating the integration of intelligence while building applications.
The Emotion API, incorporated into Azure Cognitive Services, helps in creating stunning applications that recognize and respond to feelings and moods of a user.
The cloud-based Emotion API, by analyzing the facial expression of a user, detects human emotions like neutrality, contempt, fear, disgust, anger, sadness, surprise, and happiness.
The AI(Artificial Intelligence) algorithms of Emotion API smartly detect user emotions on universal facial expressions while adding cross-cultural functionalities.
The Computer Vision API, in Azure Cognitive Services, extracts information from s. Thereafter, it processes and classifies the visual data to protect users from undesired content.
Analyze s – For example, the API can extract information about visual content in a photo. Generate thumbnails -Computer Vision API can generate top-quality thumbnails from an input .
Read the text in s – The API, integrated with OCR (Optical Character Recognition), can identify text in s.
Recognize celebrities – Computer Vision API can recognize over two hundred thousand celebrities from sports, politics, business, and the entertainment world. This is a constantly evolving feature in Azure’s Computer Vision API.
How Did You Learn Azure?
Did you learn Azure through a certification? Through on-the-job experience? A little of each? However you learned it, make sure to demonstrate to the interviewer that you have practical experience (if youâre new to the field) and that you are continuing to learn.