Tag: Analytics

Big DataCertificationmachine learning

70-774 Perform Cloud Data Science with Azure Machine Learning Certification Exam

Machine Learning is one of the hottest topics and technologies in the industry right now. Machine Learning is being used to combine with Big Data to automate the processes of gaining insights and predicting future behavior of systems, devices, and people. In an effort to expand out the breadth of certifications and exams offered around Microsoft Azure and the cloud, Microsoft has added the Perform Cloud Data Science with Azure Machine Learning (70-774) exam.

Certification Target Audience

The focus on the Perform Cloud Data Science with Azure Machine Learning (70-774) exam is centered around Azure Machine Learning, Bot Framework, and Cognitive Services. The exam is designed to target candidates who are Data Scientists or Analysts using the Microsoft Azure cloud services to build and deploy intelligent solutions. This exam will test your understanding and familiarity with common data science processes such as filtering and transforming data sets, model estimation, and model evaluation.

Skills Measured

Here is a high level list of the skills and objectives measured on this exam:

  • Prepare Data and Analytics in Azure Machine Learning and Export from Azure Machine Learning
    • Import and export data to and from Azure Machine Learning
    • Explore and summarize data
    • Cleanse data for Azure Machine Learning
    • Perform feature engineering
  • Develop Machine Learning Models
    • Select an appropriate algorithm or method
    • Initialize and train appropriate models
    • Validate models
  • Operationalize and Manage Azure Machine Learning services
    • Deploy models using Azure Machine Learning
    • Manage Azure Machine Learning projects and workspaces
    • Consume Azure Machine Learning models
    • Consume exemplar Cognitive Services APIs
  • Use Other Services for Machine Learning
    • Build and use neural networks with the Microsoft Cognitive Toolkit
    • Streamline development by using existing resources
    • Perform data sciences at scale by using HDInsights
    • Perform database analytics by using SQL Server R Services on Azure

When studying for this exam, you’ll definitely want to look at the official exam page from Microsoft for the full list of exam objectives. You’ll need to be sure to study every one of them that will be measured on the exam.

Training Materials

At the time of writing this summary of the 70-774 Perform Cloud Data Science with Azure Machine Learning, the exam is still in Beta as it was just recently published. This means there aren’t any exam guide books, or practice exams available yet. To study for this exam, you’ll need to rely mostly on the Azure Machine Learning documentation, as well as the documentation for the other Azure services and technologies listed in the exam objectives.

Not specific to just this exam, there are some additional resources available from various sources that do cover the technologies and skills measured on this exam. Here’s a short list of a few of these additional resources that may help in studying for this exam:

Happy studying!

Internet of Things

Ignite 2016 Session: Learn about Microsoft IoT Vision

The Learn about Microsoft IoT Vision session from the Microsoft Ignite 2016 conference gives some really good overview of what Microsoft’s vision of the Internet of Things (IoT) is, as well as answering some questions about “What?” and “Why?” around IoT.

The Internet of Things (IoT) is here today in the devices, sensors, cloud services, and data your business uses. Microsoft delivers a flexible cloud-based approach that enables enterprises to capitalize on IoT by gathering, storing, and processing data centrally. When centrally connecting distributed LoB assets, the edge of an enterprise’s infrastructure can be redefined, and the breadth of the Microsoft data platform can be harnessed. Learn about Microsoft’s position on IoT, and the technology and services being delivered from Microsoft to help you create the Internet of Your Things.

Watch On-Demand

About the Speaker

Arjmand Samuel is a Principal Program Manager at Microsoft, working in the Microsoft Azure Internet of Things team. In his current role, Arjmand is involved in the design and development of Microsoft Azure IoT Suite, a cloud-based offering with preconfigured solutions that address common Internet of Things scenarios. In his previous role, Arjmand led external academic collaborations around devices and services research for Microsoft Research, where he developed programs and research initiatives to harness the power of the Internet of Things. He has published in a variety of publications on topics of security, privacy, location aware access control and innovative use of mobile technology. Arjmand has a bachelor’s degree in avionics engineering from NED University of Engineering and Technology, Pakistan; a master’s degree in control engineering from Beijing University of Aeronautics and Astronautics, China; and a PhD in Information Security from Purdue University, USA.


Free eBook: Introducing Microsoft Power BI

FreeEBookIntroMSPowerBIWant to get started with Power BI, but don’t know where to start? The “Introducing Microsoft Power BI” free eBook from Microsoft Press may be the guide you’ve been looking for. This book was written by Alberto Ferrari and Marco Russo. It covers the basics of Power BI as well as a practical, scenario-based tour of Power BI. Using this book you can get an overview of PowerBI, or dig deeper and follow along with the many examples throughout the book. Read More