Microsoft PL-300 Practice Tests

Learn how to use Wireshark and packet capture analysis to solve performance and connectivity problems. This course is not bloated with every possible menu item and repetitive examples. I will show you the key features and techniques that I have used routinely to solve hundreds of problems.You will solidify your knowledge through quizzes and practice assignments using real-world packet captures.This course assumes a basic IT familiarity (e.g., entry level technician) and no prior experience with Wireshark or packet capture analysis.

Unlock the full potential of Power BI by learning to create custom visuals that transform your data into compelling stories. This course will guide you through the process of developing three unique custom visuals that enhance the standard visuals available in Power BI.Throughout the course, you will gain hands-on experience in building:Custom Slicer: Create an intuitive single-choice menu with a separate filter reset option to simplify data navigation.Lollipop Chart: Visualize performance against targets, complete with tooltips, cross-filtering, cross-highlighting, and conditional formatting for a truly interactive experience.KPI Label: Design dynamic labels that display different icons based on whether the average value is above, on, or below the target. Learn to incorporate external SVG designs to enrich your custom visuals.Key takeaways from this course include:Understanding the structure of a custom visual projectImplementing tooltips, cross-filtering, and cross-highlightingApplying conditional formatting to your visualsUtilizing Microsoft Power BI Visuals Formatting UtilsCreating slicers with powerbi-modelsEmbedding externally-created SVG graphics into your custom visualsPlease note: This course assumes prior knowledge of D3.js. If you're new to D3, I recommend enrolling in our "D3.js - The Art of Data Visualization" course first.Enroll now to unlock the power of custom visuals in Power BI and elevate your data storytelling skills to new heights.

Learned Knowledge:The cutting-edge AI technologies and development trends, the full-stack all-scenario AI strategy， and the algorithms and development practices related to traditional machine learning, deep learning, and development frameworks.Passing the HCIA-AI V3.0 certification will indicate that you: 1) Have mastered the AI development history, the Huawei Ascend AI system, the full-stack all-scenario AI strategy， and algorithms related to traditional machine learning and deep learning.2) Are able to build, train, and deploy neural networks by using development frameworks TensorFlow and MindSpore. 3) Competent in sales, marketing, product manager, project management, technical support, and other AI positions.Knowledge Content1. AI Overview2. Machine Learning Overview3. Deep Learning Overview4. Mainstream Development Frameworks for AI5. Huawei AI Development Framework MindSpore6. Huawei AI Computing Platform Atlas7. Huawei Open AI Platform for Smart Devices8. HUAWEI CLOUD Enterprise Intelligence Application Platform9. Comprehensive AI ExperimentHCIA-AIExam Code: H13-311Exam Type: Written examinationExam Format: Single-answer Question, Multiple-answer Question, True or false, Short Response Item, Drag and Drop ItemTime: 90minPassing Score/Total Score: 600/1000Language: Chinese,English, SpanishOur team prepared these tests course for all those candidates who are planning of taking the HCIA-AI exam in near future.This is an Unofficial course and this course is not affiliated, licensed, or trademarked with Huawei Technologies Co. Ltd in any way.

Tableau is a complete data analytics platform that sets the benchmark for a new generation of analytics. With its one-of-a-kind associative analytics engine, sophisticated AI, and high performance cloud platform, you can empower everyone in your organization to make better decisions daily, creating a truly data-driven enterprise.Tableau is for all of us – executives, decision-makers, analysts... you. Enable any BI use case and let users freely search and explore to uncover insights they won’t find with query-based BI tools.Insight Advisor, your AI assistant in Tableau, instantly raises the data literacy of every user through insight generation, task automation, and search natural-language interaction.Get the convenience of on-premise for the most demanding enterprises. Scale confidently with powerful data integration, open APIs, and flexible governance.Tableau can easily combine, load, visualize, and explore your data, no matter how large (or small). Ask any question and follow your curiosity. Search, select, drill down, or zoom out to find your answer or instantly shift focus if something sparks your interest. Every chart, table, and object is interactive and instantly updates to the current context with each action. Smart visualizations reveal the shape of your data and pinpoint outliers. And get faster time to insight with assistance from Insight Advisor for chart creation, association recommendations, and data preparation.

APIs are the backbone of building rich, engaging applications. But they're not always simple or easy to use. We're going to walk through how to use real APIs like Giphy and YouTube, get their JSON data, and display in our web application.If you've ever wanted to learn about APIs, how to use them, or even just how they work, this course is for you.We'll be using all free software, so you just need this course. We'll be using Visual Studio 2017, C# as the programming language, and ASP .net MVC as the architecture.

Quantum Computing and Quantum Machine Learning - Part 3 , is the continuation from what was taught in Part 1 and Part 2. This is going to be the new era of computation/ physics. Enroll for an enriching career in Quantum Research and learn Pythonic Libraries like Qiskit to operate with Quantum Gates and Quantum Circuits in depth. A fantastic computing era to join. In this course will see how to generate quantum circuits using quantum gates like CNOT, Hadamard, SWAP etc. This course sets the correct path in order to study Quantum Cryptography in depth and in the later series will move towards Quantum Machine Learning and libraries of Google like CIRQ. Will see how to handle quantum circuits using quantum as well as classical channel. Applications of Quantum Teleportation and Super Dense Coding and a very important theorem called as No Cloning Theorem. Quantum computing is the use of quantum phenomena such as superposition and entanglement to perform computation. Computers that perform quantum computations are known as quantum computers.In the classical view, one entry would have a value of 1 (i.e. a 100% probability of being in this state) and all other entries would be zero. In quantum mechanics, probability vectors are generalized to density operators. This is the technically rigorous mathematical foundation for quantum logic gates, but the intermediate quantum state vector formalism is usually introduced first because it is conceptually simpler.