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National College Credit Recommendation Service

Board of Regents  |  University of the State of New York

Microsoft Retired Courses/Exams

Descriptions and credit recommendations for all evaluated learning experiences

Location:

Multiple worldwide locations authorized by Microsoft and delivered through Pearson VUE test centers or online proctoring.

Length:

Exam time is 180 minutes; preparation time varies.

Dates:

July 2018 – May 2019. 

Objectives:

Outcomes, skills and competencies measured by this certification exam include: manage Azure subscriptions and resources, implement and manage storage, deploy and manage virtual machines (VMs), configure and manage virtual networks, and manage identities.

Instruction:

This certification exam assesses individuals’ skills and competencies in an online proctored format or at an authorized test center. 

Credit recommendation:

In the lower division baccalaureate/associate degree category, 2 semester hours in Cloud Computing, Information technology, Software Engineering, Computer Science, and Web Design (10/18).

Location:

Multiple worldwide locations authorized by Microsoft and delivered through Pearson VUE test centers or online proctoring.

Length:

Exam time is 180 minutes; preparation time varies. 

Dates:

July 2018 – May 2019.

Objectives:

Outcomes, skills and competencies measured by this certification exam include: evaluate and perform server migration to Azure; implement and manage application services; implement advanced virtual networking; and secure identities.

Instruction:

This certification exam assesses individuals’ skills and competencies in an online proctored format or at an authorized test center. 

Credit recommendation:

In the lower division baccalaureate/associate degree category, 2 semester hours in Cloud Computing, Information technology, Software Engineering, Computer Science, and Web Design (10/18). 

Location:

Multiple worldwide locations authorized by Microsoft and delivered through Pearson VUE test centers or online proctoring.

Length:

Exam time: 180 minutes; preparation time varies.

Dates:

May 2019 – June 2019.

Objectives:

Outcomes, skills and competencies measured by this certification exam include: manage Azure subscriptions and resources, implement and manage storage, deploy and manage virtual machines (VMs), configure and manage virtual networks, and manage identities; evaluate and perform server migration to Azure; implement and manage application services; implement advanced virtual networking; and secure identities.

Instruction:

This certification exam assesses individuals’ skills and competencies in an online proctored format or at an authorized test center. Prerequisite: 70-533 Implementing Microsoft Azure Infrastructure Solutions.

Credit recommendation:

In the lower division baccalaureate/associate degree category, 4 semester hours in Cloud Computing, Information Technology, Software Engineering, Computer Science, and Web Design (6/19). NOTE: Credit should not be duplicated if credit is awarded for AZ-100, AZ-101 or AZ-103.

Location:

Multiple worldwide locations authorized by Microsoft delivered through Pearson VUE test centers or online proctoring.

Length:

Exam time is 180 minutes; preparation time varies.

Dates:

September 2018 – January 2019.

Objectives:

Outcomes, skills and competencies measured by this certification exam include: select the appropriate cloud technology solution; develop for cloud storage; create Platform as a Service (PaaS) Solutions; and secure cloud solutions.

Instruction:

This certification exam assesses individuals’ skills and competencies in an online proctored format or at an authorized test center. 

Credit recommendation:

In the lower division baccalaureate/associate degree category, 2 semester hours in Cloud Computing, Information technology, Software Engineering, Computer Science, and Web Design (10/18). 

Location:

Multiple worldwide locations authorized by Microsoft delivered through Pearson VUE test centers or online proctoring.

Length:

Exam time is 180 minutes; preparation time varies. 

Dates:

September 2018 – January 2019.

Objectives:

Outcomes, skills and competencies measured by this certification exam include: develop for an Azure cloud model implement cloud integration solutions; and develop AI and IoT solutions.

Instruction:

This certification exam assesses individuals’ skills and competencies in an online proctored format or at an authorized test center. 

Credit recommendation:

In the lower division baccalaureate/associate degree category, 2 semester hours in Cloud Computing, Information technology, Software Engineering, Computer Science, and Web Design (10/18).

Location:

Multiple worldwide locations authorized by Microsoft and delivered through Pearson VUE test centers or online proctoring.

Length:

Exam time: 180 minutes; preparation time varies. 

Dates:

September 2018 - February 2019. 

Objectives:

Outcomes, skills and competencies measured by this certification exam include: develop solutions for cloud storage; create platfrom as a Service (PaaS) Solutions; secure cloud solutions; develop for an Azure cloud model; implement cloud integration solutions; develop AI, Machine Learning, and IoT solutions. 

Instruction:

This certification exam assesses individuals' skills and competencies in an online proctored format or at an authorized test center. Prerequisite: 70-532: Developing Microsoft Azure Solutions. 

Credit recommendation:

In the lower division baccalaureate/associate degree category, 4 semester hours in Cloud Computing, Information Technology, Software Engineering, Computer Science and Web Design (6/19): NOTE: Credit should not be duplicated with credit awarded for AZ-200, AZ-201 or AZ 203. 

Location:

Multiple worldwide locations authorized by Microsoft delivered through Pearson VUE test centers or online proctoring.

Length:

Exam time 180 minutes; preparation time varies.

Dates:

September 2018– June 2019.

Objectives:

Outcomes, skills and competencies measured by this certification exam include: determine workload requirements, design for identity and security, design a business continuity strategy, implement workloads and security, implement authentication and secure data, develop for the cloud. 

Instruction:

This certification exam assesses individuals’ skills and competencies in an online proctored format or at an authorized test center. Prerequisite: 70-535: Architecting Microsoft Azure Solutions.

Credit recommendation:

In the upper division baccalaureate degree category 4 semester hours in Cloud Computing, Information Technology, Software Engineering, Computer Science, and Web Design OR in the graduate degree category, 3 semester hours in Cloud Computing, Information Technology, Software Engineering, Computer Science, and Web Design (10/18). NOTE: Credit should not be duplicated with credit awarded for AZ-300 and AZ-301.

Location:

Various; distance learning format.

Length:

Varies, self-paced.

Dates:

April 2018 - January 2020.

Objectives:

Upon successful completion of the certificate program, students will be able to: describe how machine learning provides the foundation for artificial intelligence; leverage cognitive services in developing applications; build and derive insights using machine learning models in problem spaces such as classification, regression, and clustering; solve image classification problem using deep learning models such as convolution neural network (CNN); forecast time series data and process sequential data using deep learning models such as recurrent neural network (RNN) and long short term memory (LSTM); frame reinforcement learning problems and solve using algorithms such as dynamic programming, temporal difference learning, deep ‘Q’ learning, policy gradient and actor-critic; apply classical image analysis techniques, such as  edge detection,  watershed and distance transformation as well as K-means clustering to segment a basic dataset; apply deep learning models to solve machine translation and conversation problems; and compete and solve a real-world artificial intelligence challenge. 

Instruction:

Instruction is offered online through edX and through other Microsoft partners.  Major topics include: artificial intelligence, Python, data science, essential math, ethics and law in data and analytics, research methods, natural language processing, and machine learning. Skills are measured through formative and summative assessments including a comprehensive capstone project. 

Credit recommendation:

In the lower division baccalaureate/associate degree category, 3 semester hours as Artificial Intelligence, Information Systems or as a technical elective (10/18).

Location:

Various; distance learning format.

Length:

Varies, self-paced.

Dates:

April 2018 – January 2020.

Objectives:

Upon successful completion of the course, students will be able to: analyze and visualize data; work with non-relational data; query relational data, create a data warehouse; process big data at rest; process big data in motion; orchestrate big data solutions; and build big data analysis solutions. 

Instruction:

Instruction is offered online through edX and through other Microsoft partners.  Major topics include: introduction to big data, analyzing and visualizing data with Power BI, analyzing and visualizing data with Excel, introduction to No SQL data solutions, querying relational data with transaction-SQL, delivering a data warehouse in the Cloud, processing big data with Azure Data Lake analytics, processing big data with Azure HDInsight, processing real-time data streams in Azure, processing real-time data with Azure HDInsight, orchestrating big data with Azure Data Factory, developing big data solutions with Azure Machine Learning Studio, analyzing big data with Microsoft R Server, and implementing predictive analytics with Spark in Azure HDInsight. Skills are measured through formative and summative assessments including a comprehensive capstone project. 

Credit recommendation:

In the upper division baccalaureate degree category, 4 semester hours in Information Technology, Data Science, Data Analytics or as a technical elective (10/18).

Location:

Various; distance learning

Length:

Varies, self-paced.

Dates:

April 2018 – June 2019.

Objectives:

Upon successful completion of the course, students will be able to: explain the fundamentals of cloud administration; provision and manage virtual machines; implement a cloud network infrastructure; manage cloud directory services; implement and manage cloud storage; deploy and manage cloud application services; provision, configure, and manage cloud database services; secure and manage compliance of cloud resources; automate cloud workloads; and migrate infrastructure as a service workloads.

Instruction:

Instruction is offered online through edX and through other Microsoft partners.  Major topics include: Microsoft professional orientation, cloud administration, Microsoft Azure virtual machines, Azure virtual networks, Azure identity, Azure storage, Azure app service, databases in Azure, Azure security and compliance, automating Azure workloads, and migrating workloads to Azure. Skills are measured through formative and summative assessments including a comprehensive capstone project. 

Credit recommendation:

In the upper division baccalaureate degree category, 3 semester hours in Computer Science, Information Technology or Information Systems (10/18).

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