The new MCSD certification is aligned with Centres of Excellence, used by the Microsoft Partner Network to identify technical competencies that are widely recognisable by both Microsoft partners and customers. This credential does not have a recertification requirement.
This certification validates that you have the skills needed to build modern mobile and/or web applications and services. Earning an MCSD: App Builder certification qualifies you for a position as an application developer.
This bundle contains 3 separate MCSD certification courses and 3 official Microsoft MCSD certification exams, that are valid for 12 months from the time of purchase. As part of this bundle, you will get access to a MeasureUP practice test for each Microsoft certification course.
Duration study load
Some people finish their course faster than others. Each certification course is between 12-16 hours.
Course features
Expert instructor-led training
Visual demonstrations & multimedia presentations
Quizzes & exam simulators
Flash cards & educational games
Navigation & controls
Features of MeasureUP practice tests:
Questions are similar to exam questions, allowing you to test your knowledge of exam objectives
Detailed explanations for both correct and distractor answers reinforce the material
‘Study Mode’ covers all objectives ensuring topics are covered
‘Certification Mode’ (timed) prepares students for exam taking conditions
Instant, drill-down score reports tell you exactly the areas to focus on
Assessment
Certification exams included:
Microsoft 70-480: Programming in HTML5 with JavaScript and CSS3 (MCSD: 1 of 3 exams)
Microsoft 70-486: Developing ASP.NET MVC Web Applications (MCSD: 2 of 3 exams)
Microsoft 70-487: Developing Azure and Web Services (MCSD: 3 of 3 exams)
MeasureUP practice tests included:
Microsoft 70-480: Programming in HTML5 with JavaScript and CSS3
Microsoft 70-486: Developing ASP.NET MVC Web Applications
Microsoft 70-487: Developing Azure and Web Services
Materials
This is an online course with 24/7 access. You can do it from anywhere in the world, any time of the day providing you have an internet connection. No apps are required to access the courses. You simply do it from your browser. For the best user experience, we recommend Google Chrome.
Success Secrets: How you can Pass Microsoft Certification Exams in first attempt
Earlier this year, our corporate venture fund, M12, took an important step in helping identify promising women entrepreneurs and accelerating their access to capital. Partnering with EQT Ventures and SVB Financial Group, we launched the Female Founders Competition, awarding $4M to two women-led companies building innovative software solutions for the enterprise.
Those following this industry are well aware of the hard truths women founders face when seeking funding: just 17 percent of all startups boast a single female founder; and of that small percent, only 2.2 percent of total global venture capital funding went to female founders over the past two years. While the numbers clearly indicate there’s a need to do more, many investors struggle with where to start.
There are plenty of women entrepreneurs focused on solving enterprise technology challenges, but we needed a better way of finding them. With the previous success in sourcing incredibly promising portfolio companies from our Innovate.AI competition, we decided to try a competition again, but this time focused on surfacing female founders. And the results spoke volumes.
We received hundreds of submissions from female founders building enterprise solutions that spanned a multitude of industries and countries. This competition, while a small step to shift how we sourced deals, not only showed us that there is more than one way to effectively discover talent and expand networks, but it’s our responsibility as venture capitalists to begin leveling the playing field so those companies receiving funding are a truer reflection of the world in which we live.
Today, it’s my pleasure to share the results of the Female Founders Competition, and the stories behind the two incredible women whose companies will now join our portfolio.
Acerta
Greta Cutulenco, CEO and co-founder of Acerta, began her journey as a software engineering student at the University of Waterloo in Ontario, Canada, where she developed an interest in robotics and autonomous vehicle systems. While working on a research project with Sebastian Fischmeister, a professor at the university, she became fascinated with recent developments in connected and autonomous vehicles, sparking a career that led her to work with and learn from automotive original equipment manufacturers (OEMs) and Tier-1 manufacturers before returning to her roots in research. Cutulenco, Fischmeister and another colleague, Jean-Christophe Petkovich, would go on to create Acerta, using machine learning to provide real-time malfunction detection and failure prediction in vehicles. To commercialize their work, Cutulenco spent time in local incubators and attending business and sales courses before securing Acerta’s participation in the Techstars Mobility accelerator in Detroit. Just over two years later, Acerta has grown from a team of three to nearly 20, with Greta recently being named to Forbes 30 under 30 for Manufacturing and Industry, the company gaining traction with some of the largest auto manufacturers as customers, and now becoming a winner of the Female Founders competition.
Mental Canvas
Julie Dorsey, founder and chief scientist of Mental Canvas, trained as an architect before becoming a world-class computer scientist specializing in computer graphics. Her appreciation for, and expertise in these two disciplines inspired her to create the core technology behind Mental Canvas, which reimagines sketch for the digital age by augmenting it with spatial strokes, 3D navigation, and free-form animations. As supported by its early customers, Mental Canvas is a platform that addresses a wide and varied market, with early customers spanning a variety of industries from architecture, concept development for movies, animation and games, product design, education, and scientific illustration. Dorsey is also a professor of computer science at Yale University, and previously was on the faculty at MIT, where she held tenured appointments in the departments of Electrical Engineering & Computer Science and Architecture. She is an inventor on more than a dozen awarded and four pending patents, and for the past two years, has devoted herself full-time to her vision of enhancing visual communication by fundamentally elevating the way people draw.
“It is a great honor to be recognized in this way,” said Dorsey. “Of course, we are pleased with the funding, but even more, we are thrilled by the recognition and affirmation this prize provides. It says to me and our team that the technology Mental Canvas is developing to bring sketch into the digital age is groundbreaking and impactful. We look forward to working with M12, EQT Ventures and SVB Financial Group to make our company’s vision a reality.”
Our experts say about Microsoft Certification Exams
The field of conversational AI isn’t new to me or to Microsoft. In fact, I’ve been working on conversational interfaces since 1995 when we developed Comic Chat, a graphical chat service that was embedded in an early version of Internet Explorer. The lessons we’ve learned from those experiences, and from our more recent work with tools such as Cortana and Zo, have helped us shape these guidelines, which we follow in our own efforts to develop responsible and trusted bots.
These guidelines are just that – guidelines. They represent the things we’ve found helpful to think through, especially when designing bots that have the potential to affect people in consequential ways, such as helping them navigate information related to employment, finances, physical health and mental well-being. In these situations, we’ve learned to pause and ask: Is this a situation in which it’s important to make sure there are people involved to provide judgement, expertise and empathy?
In addition to these guidelines, we hope you’ll take advantage of other tools we offer, such as the offensive text classifiers in the Microsoft Bot Framework to protect your bot from abuse and Microsoft Azure Application Insights to build traceability capabilities into your bot, which are helpful in determining the cause of errors and maintaining reliability.
In general, the guidelines emphasize the development of conversational AI that is responsible and trustworthy from the very beginning of the design process. They encourage companies and organizations to stop and think about how their bot will be used and take the steps necessary to prevent abuse. At the end of the day, the guidelines are all about trust, because if people don’t trust the technology, they aren’t going to use it.
We think earning that trust begins with transparency about your organization’s use of conversational AI. Make sure users understand they may be interacting with a bot instead of – or in addition to – a person, and that they know bots, like people, are fallible. Acknowledge the limitations of your bot, and make sure your bot sticks to what it is designed to do. A bot designed to take pizza orders, for example, should avoid engaging on sensitive topics such as race, gender, religion and politics.
Think of conversational AI as an extension of your brand, a service that interacts with your customers and clients using natural language on behalf of your organization. Remember that when a person interacts with a bot that represents your organization, your organization’s trust is on the line. If your bot violates your customer’s trust, then their trust in your organization may in fact be violated. That’s why the first and foremost goal of these guidelines is to help the designers and developers of conversational AI build responsible bots that represent the trust in the organization that they represent.
Success Secrets: How you can Pass Microsoft Certification Exam in first attempt
Developing Microsoft Azure and Web Services | Microsoft 70-487 Real Exam Dumps
This 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.
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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