Monday, January 14, 2019

M12 and VC partners award $4 million to two women-led companies transforming enterprise tech

Microsoft Corp. venture fund M12, in partnership with EQT Ventures and SVB Financial Group, announced the two winners of the Female Founders Competition: Acerta and Mental Canvas. The companies and their founders, Greta Cutulenco (CEO and co-founder, Acerta) and Julie Dorsey (founder and chief scientist, Mental Canvas) beat out several hundred applicants to receive $2 million each in venture funding, along with access to technology resources and more to help progress the future of their businesses.

Earlier this year, M12 and its partners kicked off the global event in a bid to not only find and fund innovative female entrepreneurs, but also to spotlight the funding gap that exists and the need for more equitable distribution of capital. Hundreds of startups across North America, Europe and Israel applied, providing a glimpse into the potential opportunity and untapped talent in the market.

“Our goal for this competition was to clear a path to funding for more women entrepreneurs,” said Peggy Johnson, executive vice president of Business Development, Microsoft. “We were thrilled by the response we received and feel confident that we’ll see great returns on our two newest additions to our portfolio, but we also know there’s much more work to do. We plan to continue exploring other ways to close the funding gap using the lessons we learned from this competition: There’s no shortage of women entrepreneurs building for the enterprise, there’s more than one way to source an investment, and networking is essential to women founders’ growth and success.”



In early November, the VC firms narrowed the selection down to 10 finalists. Teams from each startup then pitched their company to a group of judges from M12 and the partner VC firms for one of two chances at the top prize: a total of $2 million in venture funding from M12, EQT Ventures and SVB Financial Group, and access to Microsoft technology. The winning companies include:

Waterloo, Ontario-based Acerta, founded by CEO Greta Cutulenco, provides an AI platform that ensures vehicle systems’ quality and reliability throughout a vehicle’s lifecycle.

New York-based Mental Canvas, founded by chief scientist Julie Dorsey, reimagines sketching for the digital age by augmenting it with spatial strokes, 3-D navigation and free-form animations, all drawn with the ease of pencil and paper.

“At SVB, we have the good fortune to work with some of the most innovative companies around the world,” said Tracy Isacke, head of Corporate Venture at Silicon Valley Bank. “This partnership provided the opportunity to meet some incredible female founders, and we were truly inspired by the depth and breadth of innovation that they are bringing to the enterprise technology market. We are proud to support Acerta and Mental Canvas as they pursue their ambitious business goals.”

“The quality and number of submissions for the competition was incredible, and the EQT Ventures team would like to congratulate both Acerta and Mental Canvas,” said Alastair Mitchell, partner and investment advisor at EQT Ventures. “Our fund is dedicated to backing founders with the ambition, drive and vision to build a global success story, and this competition not only provides a great launchpad for Acerta and Mental Canvas, it highlights the fact that far more needs to be done to close the funding gap between male and female founders. The EQT Ventures team is proud to play a part in bridging that gap.”

Microsoft’s mission is to empower every person and organization on the planet to achieve more. With the help of its partners and competitions like this, the company is pushing forward in its efforts to ensure women are afforded an equal opportunity when raising capital.

More on the Female Founders Competition can be found on the Official Microsoft Blog.

About EQT Ventures


EQT Ventures is a European VC fund with commitments of just over €566 million. The fund is based in Luxembourg and has investment advisors stationed in Stockholm, Amsterdam, London, San Francisco and Berlin. Fueled by some of Europe’s most experienced company builders, EQT Ventures helps the next generation of entrepreneurs with capital and hands-on support. EQT Ventures is part of EQT, a leading investment firm with approximately €50 billion in raised capital across 27 funds. EQT funds have portfolio companies in Europe, Asia and the U.S. with total sales of more than €19 billion and approximately 110,000 employees.

About SVB Financial Group


For 35 years, SVB Financial Group (NASDAQ: SIVB) and its subsidiaries have helped innovative companies and their investors move bold ideas forward, fast. SVB Financial Group’s businesses, including Silicon Valley Bank, offer commercial and private banking, asset management, private wealth management, brokerage and investment services and funds management services to companies in the technology, life science and healthcare, private equity and venture capital and premium wine industries. Headquartered in Santa Clara, California, SVB Financial Group operates in centers of innovation around the world. Learn more at www.svb.com.

About M12


As the corporate venture arm for Microsoft, M12 (formerly Microsoft Ventures) invests in enterprise software companies in the Series A through C funding stage with a focus on big data and analytics, business SaaS, cloud infrastructure, machine learning and artificial intelligence, productivity, and security. As part of its value-add to portfolio companies, M12 offers unique access to strategic go-to-market resources and relationships globally. The company has offices in New York, San Francisco, Seattle, London and Tel Aviv.

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Tuesday, January 1, 2019

Microsoft increases commitment to eliminate the US rural broadband gap - Microsoft Certifications


More than 19 million people living in rural America do not have access to broadband, a service as necessary as electricity in today’s digital economy. Today, at an event in Washington, D.C., Microsoft President Brad Smith reiterated his call for a national strategy to close the rural broadband gap and highlighted that this is a problem the country can solve. Smith also announced a significantly increased commitment by Microsoft to help tackle the problem.

The Microsoft Airband Initiative launched in July 2017 with the goal of working with partners to make broadband available to 2 million Americans in rural communities who lack access today and to help catalyze an ecosystem to connect millions more. After the success of the initiative’s first year, Smith announced that Microsoft is raising its goal for the program and increasing the company’s commitment. The program will reach 3 million Americans in rural communities by July 4, 2022, and is adding additional states, bringing the total to 25 states served by this time next year. The new states include California, Indiana, Mississippi, Oklahoma and West Virginia.

“Without a proper broadband connection, these communities can’t start or run a modern business, access telemedicine, take an online class, digitally transform their farm, or research a school project online,” Smith said. “You see this dilemma play out in the U.S. Bureau of Labor Statistics employment data, which shows the highest unemployment rates are frequently located in the counties with the lowest availability of broadband. As a nation, we can’t afford to turn our backs on these communities as we head into the future. Given our early progress, today we are raising our goal and increasing our commitment. Microsoft will pursue work to extend broadband access to 3 million Americans in rural areas by July 2022.”

The event featured a precision-agriculture demo, a discussion with representatives from two internet service providers who are partnering with Microsoft — Packerland Broadband and Declaration Networks Group — and a discussion with representatives from the National 4-H Council and National FFA Organization, which also are partners in the Microsoft Airband Initiative. The event has been webcasted, and Smith’s blog about the event can be found here.

The Microsoft Airband Initiative partners with internet service providers that are using a mix of technologies to close the rural broadband gap. This includes TV white spaces, which provides an economical wireless solution for rural areas. Microsoft is also working with hardware manufacturers to substantially decrease the price of TV white spaces devices. These lower-cost devices are critical to lowering costs for rural broadband and expanding access.

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Wednesday, December 5, 2018

Empowering every developer to achieve more at Microsoft Connect()


Tools for every developer


As a company built by developers and for developers, we understand the opportunities and challenges that developers face every day. Today, we are continuing to deliver developer tools and Azure services that help you be more innovative and productive than ever.

I’m excited to announce the general availability of Azure Machine Learning service, which enables developers and data scientists to efficiently build, train and deploy machine learning models. Using Azure Machine Learning, you can automate model selection and tuning, increase productivity with DevOps for machine learning, and deploy models with one click. With its tool-agnostic Python SDK, Azure Machine Learning service can be used in any Python environment with your favorite open source frameworks.

.NET Core 3 Preview is now available, bringing the Windows Presentation Foundation (WPF) and Windows Forms application frameworks to .NET Core. This enables more flexible deployment with side-by-side and self-contained EXEs, better performance and the ability to use native Universal Windows Platform (UWP) controls in Windows Forms and WPF applications via XAML islands. On the server side, check out composable UIs with ASP.NET Core using Razor Components, which provide full-stack web development with .NET for the first time.

For developers looking to build cloud-native, data-driven applications, Azure Cosmos DB offers a fully managed, globally distributed database which supports NoSQL workloads and guarantees less than 10-millisecond low latency and high availability. Today, we’re announcing the general availability of Azure Cosmos DB Shared Throughput Offer with a lowered minimum entry of 400 request units or $24 per month — a 25 times lower entry point — which makes Azure Cosmos DB more accessible to developers who have databases with multiple ‘Azure Cosmos DB containers’.

Microsoft <3 open source


At the heart of great developer innovation is community, and that’s why to open source is so important. We’re committed to empowering developers at every stage of the development lifecycle — from ideation to collaboration to deployment. Our announcements today are not only about open-sourcing more of our own products for community collaboration and contribution, but how we are also actively investing in collaborating on initiatives with others.

Modern container applications often include a variety of components such as containers, databases and virtual machines, and therefore need an easy way to package and maintain the apps in different environments. Today, I’m excited to introduce Cloud Native Application Bundles (CNAB), a new open source package format specification created in close partnership with Docker and supported by HashiCorp, Bitnami and more. With CNAB, you can manage distributed applications using a single installable file, reliably provision application resources in different environments and easily manage the application lifecycle without having to use multiple toolsets.

Serverless for all


We’re excited to bring the benefits of serverless computing to every app pattern. Whether you are building event-driven functions, running container workloads orchestrated by Kubernetes or simply managing APIs implemented on any platform, you can do it all without worrying about the underlying infrastructure.

Powered by the open source Virtual Kubelet technology, the Azure Kubernetes Service (AKS) virtual node public preview enables serverless Kubernetes. With this new feature, you can elastically provision additional compute capacity in seconds. With a few clicks in the Azure portal, you can turn on the virtual node capability and get the flexibility and portability of a container-focused experience in your AKS environment without worrying about managing the additional compute resources.

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Wednesday, November 28, 2018

VCE Microsoft 70-496 Exam Dumps - web services developing

Microsoft 70-496 Exam Questions:


Which of the following statements are true with respect to designing a Power BI Desktop project in DirectQuery mode?

  •   You cannot add measures to the data model.
  •   All queries within the project must be based on a single source database.
  •   You cannot convert column data types when editing a query.
  •   You cannot add calculated columns to the data model.

Which language(s) can be used when designing a query in Power BI Desktop?

  •   M
  •   SQL
  •   DAX
  •   Python

Which of the following is not a valid privacy level for a Power BI data source?

  •   Public
  •   Organizational
  •   Protected
  •   Private


Which of the following in not a valid variable type when programming in the M language?

  •   List
  •   Record
  •   Function
  •   Dataframe

When designing a query in Power BI Desktop to clean up data, what operation can be used to remove non-printable characters?

  •   Scrub
  •   Clean
  •   Trim
  •   Sanitize

When writing the DAX expression for a calculated column, you can assume your DAX code automatically has row context for the table in which the calculated column is defined.

  •   False
  •   True

Which of the following statements is false?

  •   When referencing a measure in a DAX expression, you must include the table name.
  •   When referencing a calculated column in a DAX expression, you must include the table name.
  •   When referencing a measure in a DAX expression, you can optionally include the table name.
  •   When referencing a measure in a DAX expression, you should prefer not include the table name.

Which of the following DAX functions does not return a table?

  •   Filter
  •   AllExcept
  •   Calculate
  •   Values

Which of the following statements are true about data modeling in Power BI Desktop project?

  •   Within a Power BI Desktop project, all query parameter names must be unique.
  •   Within a Power BI Desktop project, all dimensional hierarchy names must be unique.
  •   Within a Power BI Desktop project, all measure names must be unique.
  •   Within a Power BI Desktop project, all calculated column names must be unique.


When designing a data model with Power BI Desktop, which of the following statements are true regarding the rules for creating table relationships?

  •   You can define multiple relationships between two tables in a data model but only one of the       relationships can be marked as active.
  •   At least one column defined in a table relationship must contain unique values.
  •   A relationship between two tables can be defined using multiple fields from each table.
  •   A relationship between two tables must be defined using a single field from each table.

Which of the following Data Category settings can be used for mapping data to geographic locations in Power BI?

  •   Latitude and Longitude (e.g. 47.6080, -122.3351)
  •   An address (e.g. 1 Microsoft Way, Redmond, WA 98052)
  •   A city (e.g. London)
  •   A place (e.g. Logan International Airport)

When writing the DAX expression for a measure, you can assume your DAX code automatically has row context for the table in which the measure is defined

  •   False
  •   True

Into which of the following scopes can you import a custom visual created for Power BI?

  •   Into the scope of a Power BI Desktop project
  •   Into the scope of your personal workspace
  •   Into the scope of an app workspace
  •   Into the scope of a premium capacity

Which of the following field types can be added to the Field well of a Slicer visual?

  •   Calculated columns created with a DAX expression
  •   Native columns returned by a query
  •   Groups created inside a table using the "New Group" Command in Power BI Desktop
  •   Measures created by a DAX expression

Which of the following are advantages associated with moving an App Workspace into a premium capacity creating using a Power BI Premium P1 subscription?

  •   Users who have the Power BI Free license can enter the App Workspace for read-only access    to its content
  •   The App published from the App Workspace can be installed and consumed by users who          have the Power BI Free license
  •   Reports and dashboards from the App Workspace can be embedded in custom applications        and served to non-licensed users
  •   Dashboards within the App Workspace can be shared with users who have the Power BI Free    license

Which of the following Power BI subscriptions provides the proper licensing for users to view Power BI content through the Power BI mobile apps?

  •   Power BI Premium P1 (capacity license)
  •   Power BI Free (user license)
  •   Power BI Pro (user license)
  •   Power BI Premium EM3 (capacity license)

Which of the following versions of the Windows operating system support installing Power BI Desktop?

  •   Windows 7
  •   Windows 8.1
  •   Windows Vista
  •   Windows 10

Sunday, October 21, 2018

Microsoft Exam 70-487 Dumps - Developing Microsoft Azure and Web Services

Developing Microsoft Azure and Web Services | Microsoft 70-487 Real Exam Dumps


Microsoft 70-487 exam is intended for developers with a minimum of three to five years of experience developing Web Services, including one or more years developing Web API and Azure solutions.

Microsoft 70-487 Exam Topics


Accessing Data (20-25%)

Choose data access technologies
  • Choose a data access technology, including ADO.NET, Entity Framework, WCF Data Services, and Azure Cosmos DB, based on application requirements
Implement caching
  • Cache static data, apply cache policies, including policy expirations; use CacheDependency to refresh cache data; query notifications; implement caching using Redis
Implement transactions
  • Manage transactions by using the API from System.Transactions namespace; implement distributed transactions including distributed transaction on SQL Azure; specify a transaction isolation level
Implement data storage in Microsoft Azure
  • Access data storage in Windows Azure; choose a data storage mechanism in Microsoft Azure. including blobs, tables, queues, Azure SQL, and Cosmos DB; distribute data by using the Content Delivery Network (CDN) and Azure File Sync; handle exceptions by using retries; use Elastic client library with Azure SQL
Create and implement a WCF Data Services service
  • Address resources; implement filtering; create a query expression; access payload formats, including JSON; use data service interceptors and service operators; version a data service; implement data services providers; host the dataservice; use actions to implement server-side behavior

Querying and Manipulating Data by Using the Entity Framework (20-25%)

Query and manipulate data by using the Entity Framework
  • Query, update, and delete data by using DbContext; build a query that uses deferred execution; implement lazy loading and eager loading; create and run compiled queries; query data by using Entity SQL; create global query filters
Query and manipulate data by using Data Provider for Entity Framework
  • Query and manipulate data by using Connection, DataReader, and Command objects from the System.Data.EntityClient namespace; perform synchronous and asynchronous operations; manage transactions (API)
Query data by using LINQ to Entities
  • Query data by using LINQ operators, including project, skip, aggregate, filter, and join; log queries; implement query boundaries
Query and manipulate data by using ADO.NET
  • Query and manipulate data by using Connection, DataReader, and Command objects; perform synchronous and asynchronous operations; manage transactions
Create an Entity Framework data model
  • Structure a data model using Table per type, table per class, and table per hierarchy; select and implement an approach to manage a data model, including code first, model first, and database first; implement POCO objects; describe a data model by using conceptual schema definitions, storage schema definitions, and mapping languages, including CSDL, SSDL, and MSL
Implement Entity Framework with third party databases
  • Implement Entity Framework using MySQL and SQLite databases; design a strategy to manage differences between database capabilities; leverage database specific technologies, including ON DUPLICATE KEY using Entity Framework

Creating and Consuming Web API-based services (20-25%)

Design a Web API
  • Define HTTP resources with HTTP actions; plan appropriate URI space, and map URI space using routing; choose appropriate HTTP method to meet requirements; choose appropriate Web API formats for responses to meet requirements; plan when to make HTTP actions asynchronous
Implement a Web API
  • Accept data in JSON format; use content negotiation to deliver different data formats to clients; define actions and parameters to handle data binding; implement dependency injection to create more flexible applications; implement action filters and exception filters to manage controller execution; implement asynchronous and synchronous actions; implement streaming actions; implement middleware
Secure a Web API
  • Implement Identity for authentication; implement authorization using roles, claims, and custom authorization; implement Data Protection APIs; enable cross-domain requests (CORS); prevent cross-site request forgery (XSRF); implement and extend authorization filters to control access to applications
Host and manage Web API
  • Host Web API in IIS; self-host a Web API in your own process; host Web API in Kestrel; host services in a Windows Azure Web App; host services in Docker containers; configure the host server for streaming; work with a hosting environment
Consume Web API web services
  • Consume Web API services by using HttpClient; send and receive requests in different formats; handle retry logic; implement content negotiation; use Swagger to construct Uris and payloads; use AutoRest to build clients

Designing and Implementing Web Services (15-20%)

Consume a WCF service
  • Generate proxies by using SvcUtil; generate proxies by creating a service reference; create and implement channel factories; configure WCF services by using configuration settings; create and configure bindings for WCF services; relay bindings to Azure using service bus endpoints; integrate with the Azure service bus relay
Implement serverless Azure Web Services
  • Host web services using App Services, including Logic Apps and API Apps; design and implement Azure Function based services; design and implement Azure Web Jobs; design and implement Service Fabric based web services; implement schedule-based processing in a serverless environment
Implement traffic management in Azure
  • Implement Azure Load Balancer, including scaling; implement Azure Application Gateway; implement Azure Traffic Manager; design for multiple regions; leverage Azure CDN for caching web services; implement Log Analytics
Implement Azure API Management
  • Secure Web Services using certificates, Azure Active Directory, and OAuth; define and implement policies, including secrets, caching, external services, monitoring and throttling; define API interface using the Azure Portal and Swagger; manage running services using logging, disaster recovery, and multiple regions
Monitor web services
  • Collect logs and metrics using Azure Event Hubs; process logs and metrics using Azure Event Hubs, Stream Analytics, and Machine Learning; use Azure App Insights to monitor and troubleshoot web services

Deploying Web Applications and Services (15-20%)

Design a deployment strategy
  • Deploy using Web Deploy; deploy using Web Publishing in Visual Studio; deploy a web application by using XCopy; automate a deployment from VSTS or TFS Build Server; deploy a web application to a Docker container; design a continuous deployment pipeline; deploy using cloud sync
Choose a deployment strategy for Azure
  • Determine appropriate service; perform an in-place upgrade and deployment slot swap; create staging environments; configure an upgrade domain; create and configure input and internal endpoints; specify operating system configuration; implement ARM templates to customize deployment; deploy to Service Fabric; deploy to Azure Stack
Configure a web application for deployment
  • Switch from production or release mode to debug mode; transform configuration files ; configure Azure configuration settings; configure Azure Key Vault for application secrets; configure deployment credentials for Azure App Service
Manage packages by using NuGet
  • Create and configure a NuGet package; install and update an existing NuGet package; resolve versioning conflict issues; connect to a local repository cache for NuGet, set up your own package repository; manage NuGet dependencies
Share assemblies between multiple applications and servers
  • Prepare the environment for use of assemblies across multiple servers; sign assemblies by using a strong name; deploy assemblies to the global assembly cache; implement assembly versioning; create an assembly manifest; configure assembly binding redirects; target netstandard for cross platform libraries

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Monday, September 17, 2018

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