This course teaches IT Professionals how to manage their Azure subscriptions, create and scale virtual machines, implement storage solutions, configure virtual networking, back up and share data, connect Azure and on-premises sites, manage network traffic, implement Azure Active Directory, secure identities, and monitor your solution.

This exam measures your ability to accomplish the following technical tasks: develop Azure Infrastructure as a Service compute solutions; develop Azure Platform as a Service compute solutions; develop for Azure storage; implement Azure security; monitor, troubleshoot, and optimize solutions; and connect to and consume Azure services and third-party services.

Azure Solution Architects who advise stakeholders and translate business requirements into secure, scalable, and reliable solutions. Candidates should have advanced experience and knowledge across various aspects of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data management, budgeting, and governance. This role requires managing how decisions in each area affects an overall solution. Candidates must be proficient in Azure administration, Azure development, and DevOps, and have expert-level skills in at least one of those domains.

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Responsibilities for an Azure Solution Architect include advising stakeholders and translating business requirements into secure, scalable, and reliable cloud solutions. An Azure Solution Architect partners with cloud administrators, cloud DBAs, and clients to implement solutions.

Candidates for this exam are DevOps professionals who combine people, processes, and technologies to continuously deliver valuable products and services that meet end user needs and business objectives. DevOps professionals streamline delivery by optimizing practices, improving communications and collaboration, and creating automation. They design and implement strategies for application code and infrastructure that allow for continuous integration, testing, delivery, monitoring, and feedback.

Candidates for this exam are Microsoft Azure data engineers who collaborate with business stakeholders to identify and meet the data requirements to implement data solutions that use Azure data services.

Azure data engineers are responsible for data-related tasks that include provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources.

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Candidates for this exam are Microsoft Azure data engineers who collaborate with business stakeholders to identify and meet the data requirements to design data solutions that use Azure data services.
Azure data engineers are responsible for data-related tasks that include designing Azure data storage solutions that use relational and non-relational data stores, batch and real-time data processing solutions, and data security and compliance solutions.

The Azure Database Administrator implements and manages the operational aspects of cloud-native and hybrid data platform solutions built on Microsoft Azure data services and Microsoft SQL Server. The Azure Database Administrator uses a variety of methods and tools to perform day-to-day operations, including applying knowledge of using T-SQL for administrative management purposes.

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.

Gain the necessary knowledge for designing Azure AI solution by building a customer support chat Bot using artificial intelligence from the Microsoft Azure platform including language understanding and pre-built AI functionality in the Azure Cognitive Services.

This certification is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.
This certification is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.

Candidates for this exam are Microsoft Azure security engineers who implement security controls, maintain the security posture, manage identity and access, and protect data, applications, and networks. Candidates identify and remediate vulnerabilities by using a variety of security tools, implement threat protection, and respond to security incident escalations. As a Microsoft Azure security engineer, candidates often serve as part of a larger team dedicated to cloud-based management and security and may also secure hybrid environments as part of an end-to-end infrastructure.

Candidates for this exam are Microsoft Azure security engineers who implement security controls, maintain the security posture, manage identity and access, and protect data, applications, and networks. Candidates identify and remediate vulnerabilities by using a variety of security tools, implement threat protection, and respond to security incident escalations. As a Microsoft Azure security engineer, candidates often serve as part of a larger team dedicated to cloud-based management and security and may also secure hybrid environments as part of an end-to-end infrastructure.

Candidates for this exam are Microsoft Azure security engineers who implement security controls, maintain the security posture, manage identity and access, and protect data, applications, and networks. Candidates identify and remediate vulnerabilities by using a variety of security tools, implement threat protection, and respond to security incident escalations. As a Microsoft Azure security engineer, candidates often serve as part of a larger team dedicated to cloud-based management and security and may also secure hybrid environments as part of an end-to-end infrastructure.