Master Playwright C# (.NET) with SpecFlow & Live Projects

Are you preparing for the MB-820 Practice Test for the Microsoft Dynamics 365 Business Central Developer (beta) certification?This MB-820 Exam Preparation Practice Test is designed to help you gain confidence, test your knowledge, and get exam-ready with realistic MB-820 Exam Questions and expert explanations.What topics of questions will we cover in this practice test?Describe Business Central (10–15%)Understand the architecture, components, and capabilities of Business Central.Differentiate between the base app and the system app.Comprehend the update lifecycle for customizations.Install, Develop, and Deploy for Business Central (10–15%)Set up and configure the development environment.Manage JSON configuration files and multiple AL extensions.Debug and deploy extensions using Visual Studio Code.Develop by Using AL Objects (35–40%)Build and extend tables, pages, reports, XMLports, and codeunits.Create and manage entitlement and permission set objects.Develop queries to retrieve and manipulate data.Develop by Using AL (15–20%)Customize the user interface and implement onboarding techniques.Apply essential development standards and design patterns.Extend Business Central functionality using AL code.Work with Development Tools (10–15%)Implement semi-automated test processes and run standard Business Central tests.Manage and analyze telemetry to monitor system performance.Integrate Business Central with Other Applications (10–15%)Access REST services from within Business Central.Implement APIs to integrate with external applications.What’s Included in This Practice Test?300+ Exam-Style Questions – Get access to questions that closely simulate the

Are you preparing for the AWS Certified Cloud Practitioner (CLF-C02) exam and looking for the most effective way to succeed? This course offers a comprehensive simulation experience designed to help you master the fundamentals of AWS Cloud and confidently pass your certification.Inside, you’ll find:Over 350 explained questions that mirror the real exam format, covering all key domains: Cloud Concepts, Security and Compliance, Technology, and Billing Pricing.Detailed rationales for every answer, so you understand not only what is correct, but why.Exam strategies and tips to improve your time management and boost your confidence.This course is perfect for beginners and professionals who want to validate their AWS knowledge. Whether you’re starting your cloud journey or aiming to strengthen your foundational skills, these simulations will prepare you for success.By the end of this course, you will:Understand AWS core services and global infrastructure.Learn essential security and compliance principles.Gain practical insights into pricing models and support plans.Start today and take the next step toward your AWS Cloud Practitioner certification with confidence! With realistic practice tests, clear explanations, and proven techniques, you’ll be fully equipped to achieve your certification goals and advance your career in cloud computing.

Databricks – Generative AI Engineer AssociateThe Databricks Generative AI Engineer Associate certification is designed to validate the skills and knowledge of professionals who design, build, and deploy generative AI solutions using the Databricks Lakehouse Platform. This certification focuses on working with large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and integrating GenAI workloads with enterprise data in Databricks.Below is a detailed explanation of the preparation process for this certification, its characteristics, prerequisites, target audience, job importance, and how to perform effective exam simulations with real, updated questions and answers.1. Certification CharacteristicsLevel:The Databricks Generative AI Engineer Associate certification is intermediate level. It is intended for professionals who already have experience working with data and machine learning concepts and want to build practical generative AI solutions on Databricks.Exam Duration:The exam generally lasts 90 minutes.Format:The exam consists of multiple-choice and multiple-select questions and is taken online.Language:The exam is available in English.Passing Score:A minimum passing score of approximately 70% is required (Databricks does not publicly disclose the exact score).2. PrerequisitesRecommended Experience:There are no strict prerequisites, but Databricks recommends:6 months or more of experience working with Databricks or data platformsHands-on experience with Python for data or ML workflowsExposure to machine learning or AI conceptsPrior Knowledge:

Are you gearing up for the AWS Certified AI Practitioner exam and aiming to ace it on your first try? Look no further! Our top-tier AWS Certified AI Practitioner (AIF-C01) practice exams are designed to ensure you're fully prepared and confident to pass.What You'll Learn:The exam has the following content domains and weightings:Domain 1: Fundamentals of AI and ML (20% of scored content)Domain 2: Fundamentals of Generative AI (24% of scored content)Domain 3: Applications of Foundation Models (28% of scored content)Domain 4: Guidelines for Responsible AI (14% of scored content)Domain 5: Security, Compliance, and Governance for AI Solutions (14% of scored content)Why Choose Our Course?255+ High-Quality Practice Questions: Get access to 3 sets of practice exams, each containing 85 meticulously crafted questions. Retake the exams as many times as you like to reinforce your knowledge.Real Exam Simulation: Our timed and scored practice tests mirror the actual AWS exam environment, helping you become familiar with the format and pressure.Detailed Explanations: Each question comes with a comprehensive explanation detailing why each answer is correct or incorrect, ensuring you understand the concepts thoroughly.Premium Quality: Our questions are designed to reflect the difficulty and style of the real AWS Certified AI Practitioner AIF-C01 exams.Regular Updates of Question Bank: We refine and expand our questions based on feedback from of students who have taken the exam. Active Q A Discussion Board: Join our vibrant community of learners on our Q A discussion board. Engage

This course is a legacy course. The UI of the AWS console in this course is an old version.Through this Udemy course, complete beginners of both AWS and IT in general will learn how to implement practical IT infrastructure through AWS architecture configurations step by step. We will complete a working system building each piece together through lectures and demonstrations.This course was created with the aim of helping users build their own basic IT architecture using AWS, even for those with no knowledge of AWS and or of IT. In this course, even a super beginner will learn about AWS and be able to put it into practice, building a full-scale architecture configuration yourself[Learning steps of this course]1. You will gain a solid understanding of IT and infrastructure.2. Then you will learn the characteristics of AWS and the necessary services.3. Using AWS service, you will build your own full architecture online.[Outline of course contents]Cloud and AWS overviewLearn fundamental concepts of the cloud and AWS, the big picture of services and how they work.AWS setupLearn about the important tools required to use AWS, and prepare your own AWS account for building our architecture.Network and VPCYou will learn about VPCs and subnets within, which are services that we use to create a network area where our AWS services will be placed.Servers and EC2Starting with understanding the role of a server, you will learn how to set up your own server instance using AWS’ EC2. It is here we will launch our own web serverDomain settings and Route53Learn about domains, URLs and the role of the DNS server. Use AWS’ Route53 to actually register your own domain.RDS set upLearn the fundamentals of databases and SQL commands. The set up our own RDS as a WORDPRESS website database.Utilization of S3Conf

Unlock the power of AI-assisted coding by mastering the foundational principles of low-level system design and design patterns. This course teaches you how to guide AI tools to produce clean, efficient, and maintainable code by applying solid software design practices.What makes this course unique:Concept-Driven Approach: Each topic — from object-oriented design basics to advanced low-level system patterns — is explained clearly, so you understand not just the how, but the why.AI Demonstrations in Action: For every concept, see a hypothetical coding problem solved by AI. First, the AI’s initial solution highlights common mistakes and suboptimal patterns.Guided Code Improvement: Learn how to revise AI prompts and apply design principles to transform AI-generated code into high-quality, production-ready solutions.Consistent Learning Philosophy: The “Concept → Initial AI Code → Revised Prompt → Corrected Code” framework is applied throughout, helping you internalize best practices while mastering AI-assisted coding.By the end of this course, you will be able to:Apply low-level system design principles, OOP, and SOLID patterns effectively.Implement design patterns in real-world scenarios guided by best practices.Use AI tools intelligently, leveraging your design knowledge to produce better code.Identify common pitfalls in AI-generated code and fix them using software design principles.This course is perfect for developers, tech leads, and engineers who want to combine core software design expertise with AI-assisted coding to write cleaner, faster, and smarter code - and gain an edge