microsoft exams

Candidates for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services and Azure Applied AI services.

This exam is an opportunity to demonstrate knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. Candidates for this exam should have familiarity with Exam AI-900’s self-paced or instructor-led learning material.

Candidates for this exam are Azure IoT developers with subject matter expertise in creating and maintaining the cloud and device portions of an IoT solution. In addition to configuring and maintaining the devices by using cloud services, they also set up the physical devices. They are responsible for maintaining and troubleshooting the configuration of the devices throughout the lifecycle.

Candidates for this exam are developers or infrastructure administrators who also have subject matter expertise in working with people, processes, and products to enable continuous delivery of value in organizations. DevOps engineers must have experience with administering and developing in Azure, with strong skills in at least one of these areas. They should be familiar with both Azure DevOps and GitHub.

Candidates for this exam apply scientific rigor and data exploration techniques to gain actionable insights and communicate results to stakeholders. Candidates use machine learning techniques to train, evaluate, and deploy models to build AI solutions that satisfy business objectives. Candidates use applications that involve natural language processing, speech, computer vision, and predictive analytics.
Candidates serve as part of a multi-disciplinary team that incorporates ethical, privacy, and governance considerations into the solution. Candidates typically have background in mathematics, statistics, and computer science.
This exam measures your ability to accomplish the following technical tasks: define and prepare the development environment; prepare data for modeling; perform feature engineering, develop models.

Candidates for this exam should have subject matter expertise integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions. Azure data engineers help stakeholders understand the data through exploration, and they build and maintain secure and compliant data processing pipelines by using different tools and techniques. These professionals use various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis. Azure data engineers also help ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. They deal with unanticipated issues swiftly, and they minimize data loss. They also design, implement, monitor, and optimize data platforms to meet the data pipelines needs. A candidate for this exam must have strong knowledge of data processing languages such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns.

Candidates for this exam should have subject matter expertise in building database solutions that are designed to support multiple workloads built with Azure SQL database services. Candidates for this exam are database administrators who manage on-premises and cloud databases built with SQL Server and SQL database services. The Azure database administrator implements and manages the operational aspects of cloud-native and hybrid data platform solutions built on SQL Server and SQL database services. Professionals in this role use a variety of methods and tools to perform and automate day-to-day operations, including applying knowledge of using T-SQL for administrative management purposes. These professionals are responsible for management, availability, security, and performance monitoring and optimization of database solutions. They evaluate and implement migration strategies for moving databases to Azure. Plus, they work with Azure data engineers, Azure solution architects, Azure developers, and other professionals to manage operational aspects of data platform solutions. Candidates for this exam should have knowledge of and experience with Azure SQL Edge, Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines (Windows and Linux).

Candidates for this exam should have advanced Power BI skills, including managing data repositories and data processing in the cloud and on-premises, along with using Power Query and Data Analysis Expressions (DAX). They should also be proficient in consuming data from Azure Synapse Analytics and should have experience querying relational databases, analyzing data by using Transact-SQL (T-SQL), and visualizing data.