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Exam Code: MB-910 Practice test 2023 by Killexams.com team MB-910 Microsoft Dynamics 365 Fundamentals (CRM) EXAM CODE: MB-910
EXAM NAME: Microsoft Dynamics 365 Fundamentals (CRM)
PASSING SCORE: 700/1000
Describe Dynamics 365 Marketing (15-20%)
Describe Dynamics 365 Sales (15-20%)
Describe Dynamics 365 Customer Service (15-20%)
Describe Dynamics 365 Field Service (15-20%)
Describe shared features (20-25%)
Describe Dynamics 365 Marketing (15–20%)
Describe Dynamics 365 Marketing capabilities
• Describe the process for generating and scoring leads by using marketing forms and pages
• Describe how to target customers by using segments and subscription lists
• Describe email marketing concepts and processes
• Describe the process of automating marketing activities by using customer journeys
• Describe event management features and capabilities
• Describe real-time marketing concepts and processes
Describe marketing-related apps
• Describe the capabilities of Dynamics 365 Customer Insights
Describe the capabilities of Dynamics 365 Customer Voice
Describe Dynamics 365 Sales (15–20%)
Describe the Dynamics 365 Sales lifecycle
• Describe the lead management process
• Describe the opportunity management process
• Describe the quote lifecycle
• Describe order and invoice management
• Describe sales pipeline and forecasting concepts
Describe sales-related apps
• Describe capabilities of Dynamics 365 Sales Insights
• Describe capabilities of LinkedIn Sales Navigator
Describe Dynamics 365 Customer Service (15–20%)
Describe Dynamics 365 Customer Service components
• Describe knowledge management
• Describe the case lifecycle including service-level agreements (SLAs) and entitlements
• Describe how to use queues to manage work
• Describe Omnichannel for Customer Service
• Describe historical analytics
Describe Dynamics 365 Field Service (15–20%)
Describe Field Service capabilities
• Describe the work order lifecycle
• Describe capabilities of the inspections feature
Describe scheduling capabilities
• Describe resource and scheduling processes
• Describe scheduling options including Schedule Assistant and Resource Schedule Optimization (RSO)
• Describe customer assets and how to enable proactive customer asset maintenance by using
Connected Field Service
Describe shared features (20–25%)
Identify common customer engagement features
• Describe Microsoft Dataverse as the foundation for Dynamics 365 apps
• Describe the Dynamics 365 customer engagement apps
• Describe customers and activities
Describe integration options
• Describe built-in reporting capabilities including dashboards, charts and views
• Describe Microsoft Teams integration capabilities
• Describe email capabilities including App for Outlook
• Describe how Microsoft Excel and Microsoft Word can be used with Dynamics 365 apps
• Describe options for analyzing data by using Power BI Microsoft Dynamics 365 Fundamentals (CRM) Microsoft Fundamentals learn Killexams : Microsoft Fundamentals learn - BingNews
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https://killexams.com/exam_list/MicrosoftKillexams : Microsoft Azure Fundamentals AZ-900 test PrepNo result found, try new keyword!Cloud computing is rapidly expanding into all areas of businesses, creating new and exciting career opportunities. These opportunities cover a broad range of roles, from developers and architects ...Fri, 23 Dec 2022 10:34:00 -0600text/htmlhttps://www.usnews.com/education/skillbuilder/microsoft-azure-fundamentals-az-900-exam-prep-0_n8wVF2gBEeu_4RJMZjt8EwKillexams : Best Free AI Training Courses for 2023
With businesses finding new, inventive ways to use AI almost every day, it's no surprise that AI training courses are becoming increasingly sought after.
Workers in all sorts of industries are looking to upskill themselves in line with the rapid technological changes occurring. Luckily, companies like Microsoft and Google offer free AI training courses, as do some higher education institutions.
In this guide, we cover the best AI training courses currently available, as well as the benefits of learning about AI in the current job market. We've largely focused on free courses that offer immediate, foundational learning opportunities that you can start applying to your job role or career straight away, rather than paid degree courses that cost hundreds or thousands of dollars.
1. Google’s Generative AI Learning Path (10 Courses)
One of the more generous courses available in terms of genuine hours of learning, Google’s Generative AI Learning path has 10 courses on it. All courses take one day to complete.
Seven of the courses are classified as introductory, including “Introduction to Generative AI”, “Introduction to Large Language Models” and “Generative AI Fundamentals”. There are three courses within the learning path described as intermediate, including “Encoder-Decoder Architecture” and “Attention Mechanism: Overview”.
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The first two introductory courses cover a lot of immediately applicable content, such as how to use prompt tuning to get the best out of large language models. There's also a course on the responsible usage of AI.
Although there's no official qualification, you will be awarded a completion badge that you can attach to your digital resume.
2. Microsoft's “Transform Your Business With AI” course
This Microsoft learning path is designed, as the tech giant says, to help businesspeople acquire “the knowledge and resources to adopt AI in their organizations”, and explores “planning, strategizing, and scaling AI projects in a responsible way.”
Microsoft says the objectives for this course are to become familiar with existing AI tools, understand basic AI terminology and practices, and use prebuilt AI to build intelligent applications.
To enroll in this course, which is 2 hours and 40 minutes long, Microsoft says you’ll need a “basic understanding” of IT and business concepts. Modules included in the pathway are:
Leverage AI tools and resources for your business (55 mins)
Create business value from AI (21 min)
Embrace responsible AI principles and practices (48 mins)
Scale AI in your organization (36 mins)
3. Linkedin’s “Career Essentials In Generative AI” training course
Linkedin’s AI Career Essentials Course is made up of five different videos, with a total run time of around four hours. Each video is hosted by a different AI expert, covering a range of core concepts and ethical considerations relating to AI models.
One of the videos provides a detailed explanation of how to streamline your work with Microsoft Bing Chat, while another discusses the key differences between search engines and reasoning engines. Although there’s no accreditation or certification, completing this course will earn you a badge of completion from LinkedIn, which can be displayed on your profile.
The fifth video in the series, entitled “an introduction to artificial intelligence” is an hour and a half long and provides a simplified overview of the best AI tools for businesses, which is handy for those who haven’t taken the plunge yet and implemented a tool in work.
4. IBM’s “AI Foundations for Everyone” training course
IBM offers a course entitled “AI Foundations for Everyone” through Coursera, of which over 19,000 people have already enrolled in. You can audit the course for free, which will give you access to all of the materials and some of the assignments, but you won't be graded or get a certificate at the end.
It’s geared toward beginners and you don’t need prior experience to enroll, and the schedule is flexible so you can learn at your own pace. Along with AI fundamentals, the course will also ensure you’re familiar with IBM’s own AI services, which help businesses integrate artificial intelligence into their existing infrastructure.
IBM says that, by the end of the course, participants will have had “hands-on interactions with several AI environments and applications”.
The course has three modules: “Introduction to Artificial Intelligence”, “Getting Started with AI using IBM Watson”, and “Building AI-Powered Chatbots Without Programming”. Each module takes between nine and eleven hours to complete.
5. Digital Partner's “The Fundamentals of ChatGPT” training course
Digital Partner’s course entitled “The fundamentals of ChatGPT” is a great option for anyone who wants to take a free, accredited course that covers the basics of Generative AI.
During the course, you’ll spend time learning about OpenAI’s role in global AI development, and be able to learn about how ChatGPT works, its advantages and limitations. There’s also a variety of examples included within the course that will show you how to leverage ChatGPT for different tasks, and you'll learn more about the difference between ChatGPT and ChatGPT Plus.
Modules include “Working With ChatGPT”, “ChatGPT and Its Shortcomings” and “Training a GPT Model”.
This free course is available on Alison.com, and is published by a digital marketing firm called Digital Partner. The course is CPD accredited and a certificate will be awarded upon completion of a small assessment at the end of the 1.5-3 hour program.
6. Phil Ebner’s ChatGPT, Midjourney, Firefly, Bard, DALL-E” AI crash course
While there are some good courses on Udemy that will guide you through the ins and outs of MidJourney and other AI generation tools, this instructor covers the most ground, and almost 12,000 students have already enrolled in the course, which has a 4.6/5 rating on Udemy.
The course is almost two hours long and also includes content that will help you better use tools like ChatGPT to generate text responses as well as images.
The “AI for Visual Creativity” section, however, will show you how to use both MidJourney and Dall-E to create “photorealistic images, illustrations, and digital art in a variety of styles.”
On Udemy, you don’t receive certificates of completion for free courses, but if you're just looking to upskill yourself free of charge, this course is definitely worth a look.
Best Free AI Training courses for Programmers, Developers & Tech Experts
Up next, we have more advanced courses geared towards programming and development.
1. Harvard University’s “Introduction to Artificial Intelligence with Python”
Harvard University offers a self-paced, 7-week course on the “concepts and algorithms at the foundation of modern artificial intelligence”.
The time commitment of between 10-30 hours a week – but it’s completely free to enroll and you’ll be supported as you complete projects and attend lectures. However, you need to have taken Harvard’s “Introduction to Computer Science” course first to enroll.
2. DeepLearning.AI’s “ChatGPT Prompt Engineering For Developers” (Coursera)
This course will help you utilize OpenAI’s API to write more effective prompts, learn how large language models can be used to carry out tasks like text transformation and summarizing, and teach you how to program and build a custom AI chatbot.
The course is run by AI expert and DeelLearning.AI co-founder Andrew Ng and OpenAI’s Isa Fulford, and it’s only an hour long. DeepLearning.AI says the course is “free for a limited time”. A basic understanding of Python is needed, but aside from that, it’s beginner friendly.
3. Intro to TensorFlow for Machine Learning (Udacity)
This course teaches participants how to build deep-learning applications with TensorFlow, one of the most popular open-source Python software libraries.
The estimated completion time for the course is approximately two months, and you should have some experience with Python syntax, including variables, functions, and classes, as well as a grasp of basic algebra.
If you take the course, providers Udacity say, you’ll get “hands-on experience building your own state-of-the-art image classifiers” as well as other types of deep learning models.
This Georgia Tech course is free on Udacity and focuses on exploring “automated decision-making from a computer-science perspective”.
At the end of the course – which takes approximately four months to complete, but is also described as self-paced – participants will recreate a result from a published paper on reinforcement learning.
However, it is recommended you have a graduate-level machine-learning qualification and some prior experience with reinforcement learning from previous studies. Experience with Java is also required.
Although there’s no official certificate awarded for completing the course, you can earn a nano degree program certificate by completing Udacity's 4-month long “Deep Reinforcement Learning”, although this costs $1116.
5. Become an AI-Powered Engineer: ChatGPT, Github Copilot (Udemy)
In this course, students will learn how to create high-quality pieces of code using ChatGPT and integrate it with other text editors. It also covers how to use GitHub Copilot.
This might be a free tutorial, but the course has much better reviews than some of the other AI courses available on Udemy, with 56% of watchers who left a review giving the course five stars, and a further 24% giving it four stars at the time of writing.
The course will be best suited to developers who want to leverage AI tools for coding responsibilities in general, and also, to become more efficient in their coding practices.
6. GreatLearning’s “ChatGPT for Beginners” training course
This is a completely free, two-hour long beginners-focused ChatGPT course. It’s one of the only beginner's courses on the internet that includes a section on coding prompts, although it also covers quite a bit of other ground, including email prompting.
There are no prerequisites needed for this course, and it has an average rating of 4.61/5, with 75% of reviewers giving the course 5 stars.
Free College AI Courses and Training
A number of universities and colleges offer AI-focused courses.
1. Stanford University’s “Introduction to Artificial Intelligence” course (Udacity)
This foundational online program, which takes around 10 months to complete at a rate of 10 hours a week, focuses on fundamental AI concepts and practical machine learning skills but is classified as an intermediate course.
The course, which is split into two umbrella sections (“Fundamentals of AI” and “Applications of AI) is completely free if you sign up for Udacity (which also doesn't cost anything). It consists of 22 different lessons and a string of interactive quizzes.
2. Vanderbilt University’s “Prompt Engineering for ChatGPT”
Jules White, Vanderbilt University’s associate dean for strategic learning programs and associate professor of computer science, has launched a free online course available through Coursera focusing on prompt engineering.
It goes through the most effective approaches for prompt engineering, covering summarization, simulation, programming, and other useful ways you can harness the power of ChatGPT with your inputs.
The course takes around 18 hours to complete and is made up of an introduction to prompts and three separate sessions on prompt patterns, as well as a 2-hour module on examples.
In collaboration with Georgia Tech, Udacity has made an intermediate machine-learning course available for free, which takes around 4 months to complete, although the course listing says you can do it at your own pace.
The course is offered as part of an online master’s degree at Georiga Tech, but taking this course won’t earn you credit toward this degree.
The course covers Supervised and Unsupervised Learning, which are two different types of machine learning, and covers how they're used in AI systems.
However, having a “strong familiarity with Probability Theory, Linear Algebra, and Statistics” and prior experience with statistics is helpful. Students should also have some experience with programming.
4. The Open University’s “AI Matters” course (OpenLearn)
The Open University is a UK-based institution that offers a free course through its learning portal OpenLearn entitled “AI Matters”.
In the course, you'll learn about the “historical, social, political and economic issues in AI”, explore the benefits and limitations of the technology, and discuss ethical risks relating to AI.
The course is six hours long, and you'll be eligible for a certificate of participation.
5. University of Pennsylvania’s “AI For Business” (Coursera)
The University of Pennsylvania's “AI for Business” specialization is made up of four different, free courses:
AI Applications in People Management
AI Fundamentals for Non-Data Scientists
AI Applications in Marketing and Finance
AI Strategy and Finance
According to the University of Pennsylvania's website, although the course itself costs $39 to complete, you can enroll in the four individual modules that take up the course for free. Each module will take up around two hours a week to complete.
6. University of Helsinki's “Elements of AI” and “Ethics of AI”
The University of Helsinki has two, free online courses available. The course entitled “Ethics of AI” is geared towards “anyone who is interested in the ethical aspects of AI”, the university says.
The course will familiarize you with common questions that arise in AI ethics and the various ways to approach them.
“Elements of AI” is a broader course with 6 chapters, focusing on subjects such as “neural networks”, “machine learning” and “AI problem solving”. All you need to do to access the course materials is sign up.
The Benefits of Learning About AI
Of course, completing an AI training course can have a number of benefits. From a personal learning perspective, it's one of the best ways you can spend your time – AI is here to stay, and getting a better grasp of how it works might just help you out in the near future.
Plus, the things you learn about AI will be applicable to a wide variety of job roles in almost every sector of the economy, so it's arguably a safer bet than completing a course on a niche or industry-specific topic.
What's more, right now, businesses are looking for people who understand how generative AI tools like ChatGPT work, and how to leverage them effectively. Employees that are conscious of the limitations of AI tools and able to generate useful responses using prompts are going to become more sought after than employees without these skills.
Completing an AI training course is going to look good on your CV, which will help if you're applying for a new job. Evidence that you've taken the initiative to explore an emerging technology is definitely something an employer will find desirable.
Of course, if you don't have much of a budget – or you're not entirely sure what AI training course would be the best use of your time – then trying out some free options is a great place to start.
Yes – Google has a free AI learning path that has ten courses you can complete for free. Each course takes around one day to complete. The modules provide an introduction to generative AI, and although there's no official qualification, you will get a completion badge which you can add to your resume.
Yes – you can learn how to harness the powers of AI on your own, through online guides, tutorials, and courses. There are quite a lot of resources out there now that will show you how to get the most out of generative AI tools like ChatGPT. However, if you want to learn how more complex skills, such as programming a large language model, you may need to seek out a paid course
Yes – Microsoft has a free training path available that consists of four short modules, which cover how to leverage AI effectively in business settings and how to scale AI projects in a responsible, impactful way.
Wed, 16 Aug 2023 20:53:00 -0500en-UStext/htmlhttps://tech.co/news/best-free-ai-training-coursesKillexams : Transform your business with Microsoft’s range of Data and AI solutionsNo result found, try new keyword!Microsoft offers a range of Data and AI solutions that can help businesses transform their data into insights and actions.Thu, 10 Aug 2023 20:55:00 -0500en-UStext/htmlhttps://mybroadband.co.za/news/industrynews/503964-transform-your-business-with-microsofts-range-of-data-and-ai-solutions.htmlKillexams : How to Buy Your Favorite Stocks as the Market Corrects
After a one-day bounce in big-cap technology names on Monday, the market correction is picking up traction on Tuesday. The proximate cause of the selling is weak economic news out of China which has pushed the People's Bank of China to cut various interest rates in hopes of promoting growth. However, this correction was already underway, and it didn't need any specific negative news to keep it going.
The S&P 500 is now sitting right at key support at its 50-day simple moving average at 4446. The last time the S&P 500 traded below that level was back in March. The Nasdaq 100 (QQQ) and the Russell 2000 small cap index (IWM) have already cracked support and are now groping to find some support.
One of the bigger problems for the market right now is that we are entering a seasonally poor time of the year. Seasonality is a tendency and not a certainty, but it tends to have a self-fulfilling aspect to it. As the market struggles, the worries about seasonality intensifies and make it more likely.
The good news about this poor action is that it helps to create a new crop of opportunities. All those stocks that ran away to the upside are coming back down to earth and may offer some good entry points. Ideally, the corrective action in August and September will set up a strong recovery to end the year.
The big challenge for investors is buying the pullbacks in a prudent and logical way and not allowing risk to grow too pronounced.
By far, the biggest mistake that investors make when buying pullbacks during a correction is jumping in too big and too fast. Quite often, someone will jump in and buy a pullback too fast, and then when the stock continues to sink, the pain becomes too great, and they end up selling when they should have been slowly adding.
The first step in buying pullbacks is to establish an initial position. I took a very small position today in Nvidia (NVDA) because I want to have it on my radar and trade it more aggressively as it develops from here. I'm not at all convinced that it is going to run away to the upside, but once you dip a toe in, then you start to learn the personality of a stock.
My game plan is to make a small second buy on a pullback under the 50-day simple moving average. If it doesn't get there fairly soon, then I'll evaluate the chart and see if there is another favorable setup.
Stocks like Nvidia, Apple (AAPL) , Microsoft (MSFT) , etc., are also going to be the 'go-to' names for the big money when market conditions improve. They are easy to buy because they are highly liquid, and they will always have analysts and strategists that support them. Bears will complain about valuation, but that isn't what moves them.
On the other end of the spectrum are small-caps that I favor. A good example is Humacyte (HUMA) , which is my Stock of the Week. It has jumped about 40% in just two days, but in a poor market, small-caps are often brutally punished due to a lack of liquidity. When the market goes bad, the small-caps can be hurt very badly, even though fundamentals are still quite good. I am anxious to add to my HUMA position, but if the market continues to correct for a while, I'm pretty sure it will dip and offer an opportunity.
The key to accumulating in a poor market is to not worry about being left out and to not chase strength. It can be quite surprising how far 'good' stocks will fall when market conditions are bad.
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Tue, 15 Aug 2023 04:10:00 -0500JAMES "REV SHARK" DEPORREentext/htmlhttps://realmoney.thestreet.com/investing/how-to-buy-your-favorite-stocks-as-the-market-corrects-16131062Killexams : Breakout Stocks To Watch: AI Stock Leader Adobe Tests Key LevelNo result found, try new keyword!AI stock leader Adobe is rebounding from a key support level in the stock market today. Adobe is on the IBD Breakout Stocks Index.Tue, 22 Aug 2023 06:21:00 -0500en-ustext/htmlhttps://www.msn.com/Killexams : Fundamentals of climate and ESG risk, and net zero
About the course
Join Risk Learning and expert speaker on this interactive learning event examining the current outlook for climate change risks management.
Participants will gain an in depth understanding of the direct and indirect impacts of ESG and climate risks, and net zero initiatives on financial institutions.
Sessions will explore the key steps of the ESG and climate risk management process, and net zero and their integration with BAU risk management. Understanding the key aspects of climate data, climate risk modelling, regulations and leveraging industry best practices will equip participants with the skills needed to successfully identify, monitor, measure and manage climate risks including preparation of climate risk stress-testing and scenario analysis.
Participants will also study the core components of the principles leading ESG and climate disclosures and reporting standards (TCFD, IFRS, CSRD, SEC).
Flexible pricing options:
Early-bird rate: book in advance and save $200
3-for-2 group rate: book three delegates for the price of two and save more than $2,000
Season tickets: book a team of 10 or more and save up to 50%
Thu, 17 Aug 2023 06:13:00 -0500entext/htmlhttps://www.risk.net/training/fundamentals-of-climate-and-esg-risk-and-net-zero?booking=7955115Killexams : WeWork could head to the scrapyard of American dreams. There's a stark warning in there for AI.No result found, try new keyword!Office-sharing company WeWork warned of 'substantial doubt' that it can continue. There are lessons for investors and firms running to AI.Wed, 09 Aug 2023 02:48:55 -0500en-ustext/htmlhttps://www.msn.com/Killexams : Barron's AI Roundtable: Cutting Through the HypeNo result found, try new keyword!What makes generative AI so fresh is the ability to answer questions posed as simple natural-language requests—and respond with rich, creative content in the form of text, music, video, images, or ...Fri, 18 Aug 2023 01:24:00 -0500en-ustext/htmlhttps://www.msn.com/Killexams : Preparing for the AZ-900 Microsoft Azure Fundamentals ExamNo result found, try new keyword!In this course, you will prepare for the AZ-900 Microsoft Azure Fundamentals exam. You will refresh your knowledge of cloud concepts, Microsoft Azure services, Microsoft Azure workloads ...Fri, 06 Jan 2023 16:56:00 -0600text/htmlhttps://www.usnews.com/education/skillbuilder/preparing-for-the-az-900-microsoft-azure-fundamentals-exam-0_CopdX3XBEeuulw5wDKo02wMB-910 exam dump and training guide direct download Training Exams List