Merge branch 'MicrosoftDocs:main' into az400-minor

Author: LuizMacedo

.openpublishing.redirection.json

@@ -5,6 +5,51 @@ achievements:
 #  title: Module template
 #  summary: Module template badge.
 #  iconUrl: http://via.placeholder.com/120x120
+- uid: learn.azure.characterize-dataset-azure-data-explorer.badge
+  type: badge
+  title: Characterize an unfamiliar dataset with Azure Data Explorer
+  summary: Learn how to characterize an unfamiliar dataset using Azure Data Explorer. 
+  iconUrl: /training/achievements/azure-data-explore-web.svg
+- uid: learn.visualize-data-workbooks.badge
+  type: badge
+  title: Visualize data combined from multiple data sources by using Azure Monitor Workbooks
+  summary: Use Azure Workbooks to query data from multiple data sources and use visualizations such as graphs, charts, and grids to build visual reports for data analysis and reporting.
+  iconUrl: /training/achievements/generic-badge.svg
+- uid: learn.azure-security.configure-security-policies-to-manage-data.badge
+  type: badge
+  title: Configure security policies to manage data
+  summary: Learn how to configure security policies to manage data. 
+  iconUrl: /training/achievements/configure-security-policies-to-manage-data.svg
+- uid: learn.sql-server-2022-performance-enhancements.badge
+  type: badge
+  title: Understand the built-in query intelligence enhancements of SQL Server 2022
+  summary: Learn about and use the Intelligent Query Processing feature enhancements in SQL Server 2022.
+  iconUrl: /training/achievements/generic-badge.svg
+- uid: learn.secure-your-azure-sql-database.badge
+  type: badge
+  title: Secure your Azure SQL Database
+  summary: Secure an Azure SQL database to keep the information safe and diagnose potential security concerns as they happen.
+  iconUrl: /training/achievements/secure-your-azure-sql-database.svg
+- uid: learn.react-to-state-changes-using-event-grid.badge
+  type: badge
+  title: React to state changes in your Azure services by using Event Grid
+  summary: Build a serverless application architecture, automate your operations, and integrate applications by handling Azure events with Event Grid.
+  iconUrl: /training/achievements/react-to-state-changes-using-event-grid.svg
+- uid: learn.azure-sql-case-studies.badge
+  type: badge
+  title: Putting it all together with Azure SQL
+  summary: In this learning path, you've deployed and configured a secure, performant, and highly available solution by using Azure SQL. There are many elements in a single solution. In this module, you'll learn how to take the business scenario and determine the best resources and processes to satisfy requirements while considering the constraints within the scenario. You'll also learn what else you should consider with Azure SQL and opportunities in the cloud.
+  iconUrl: /training/achievements/azure-sql-case-studies.svg
+- uid: learn.multi-table-queries-with-kusto-query-language.badge
+  type: badge
+  title: Write multi-table queries by using Kusto Query Language
+  summary: Write advanced queries in Kusto Query Language and gain deeper insights by combining data from several tables. Learn how to use the table-level operators `lookup`, `join`, `union`, and `materialize`, and the new aggregation functions `arg_min` and `arg_max`. Also, learn how to communicate these results visually in charts.
+  iconUrl: /training/achievements/multi-table-queries-with-kusto-query-language.svg
+- uid: learn.write-first-query-kusto-query-language.badge
+  type: badge
+  title: Write your first query with Kusto Query Language
+  summary: Learn how to write simple queries in Kusto Query Language (KQL) by using the operators take, project, count, where, and sort. 
+  iconUrl: /training/achievements/write-first-query-kusto-query-language.svg 
 - uid: learn.send-crop-weather-alerts.badge
   type: badge
   title: Use Twilio and Azure Maps to receive text message weather alerts 
@@ -5754,4 +5799,74 @@ achievements:
   type: badge
   title: Prepare for cloud adoption with a data-driven plan
   summary: Adopting the cloud might depend on many moving parts. Starting with a sound plan built by experts creates clarity. Integrating data about your current environment and long-term objectives refines the plan to reflect realistic expectations and assignments.
-  iconUrl: /training/achievements/cloud-adoption-framework-plan.svg
+  iconUrl: /training/achievements/cloud-adoption-framework-plan.svg
+- uid: learn.azure.create-content-delivery-network-azure-cdn-blob-services.badge
+  type: badge
+  title: Create a Content Delivery Network for your Website with Azure CDN and Blob Services
+  summary: You learned how to publish static web content using an Azure Content Delivery Network (CDN) and Azure Blob Services.
+  iconUrl: /training/achievements/create-cdn-static-resources-blob-storage.svg
+- uid: learn.design-a-hybrid-network-architecture.badge
+  type: badge
+  title: Design a hybrid network architecture on Azure
+  summary: You have a traditional on-premises infrastructure that you need to connect to resources in Azure. In this module, you learn how to select a connectivity method for your use cases that balances functionality, cost, and security.
+  iconUrl: /training/achievements/design-a-hybrid-network-architecture.svg
+- uid: learn.sports-machine-learning.use-mixed-reality-toolkit.badge
+  type: badge
+  title: Create a mixed reality basketball player lineup with the Mixed Reality Toolkit
+  summary: "Use C#, Visual Studio, Unity, and the Mixed Reality Toolkit to create an interactive virtual reality experience compatible with the HoloLens. Inspired by *Space Jam: A New Legacy*, you create an experience for coaches and fans to learn more about the Tune Squad."
+  iconUrl: /training/achievements/student-evangelism/create-mixed-reality-basketball-lineup-mixed-reality-toolkit.svg
+- uid: learn.student-evangelism.optimize-basketball-player-rest-breaks.badge
+  type: badge
+  title: Create a web app that uses data to make decisions on the basketball court
+  summary: "Use JavaScript, Azure, GitHub, and Visual Studio Code to write a web app that helps the Tune Squad coach make data-based decisions on the basketball court, inspired by SPACE JAM: A NEW LEGACY."
+  iconUrl: /training/achievements/student-evangelism/optimize-basketball-player-rest-breaks.svg
+- uid: learn.student-evangelism.predict-basketball-player-efficiency-ratings.badge
+  type: badge
+  title: Predict basketball player efficiency ratings by using machine learning and Visual Studio Code
+  summary: "By using anonymized data from real and animated basketball players in the upcoming film *Space Jam: A New Legacy*, create a machine learning model to cleanse data to be used during games. Also explore bimodal data distributions by using Python in Visual Studio Code."
+  iconUrl: /training/achievements/student-evangelism/predict-basketball-player-efficiency-ratings.svg
+- uid: learn.optimize-basketball-games-with-machine-learning.trophy
+  type: trophy
+  title: "Use basketball stats to optimize game play with Visual Studio Code, inspired by SPACE JAM: A NEW LEGACY"
+  summary: "Inspired by the new film _Space Jam: A New Legacy_, this learning path shows basketball fans how an understanding of data science and coding can support their passions, create opportunities, and even open doors to possible careers. Develop skills in Visual Studio Code, Azure, GitHub, JavaScript, and Python, to gain insights into how individual moments throughout a player's history can lead to a critical game decision in the finals."
+  iconUrl: /training/achievements/student-evangelism/optimize-basketball-games-with-machine-learning.svg
+- uid: learn.sports-machine-learning.mixed-reality-for-sports-fans.badge
+  type: badge
+  title: Prepare to bring the basketball court into a Mixed Reality space
+  summary: "Discover the fundamentals of Mixed Reality and prepare the resources you need to create an interactive experience for basketball fans and coaches inspired by *Space Jam: A New Legacy*."
+  iconUrl: /training/achievements/mixed-reality-for-sports-fans.svg
+- uid: learn.machine-learning.predictive-maintenance-model-builder.badge
+  type: badge
+  title: Train a machine learning model for predictive maintenance by using ML.NET Model Builder
+  summary: Train a machine learning model in Visual Studio with ML.NET by using Model Builder, which uses sensor data to detect whether a manufacturing device is broken.
+  iconUrl: /training/achievements/machine-learning/predictive-maintenance-model-builder.svg
+- uid: learn.machine-learning.introduction-clustering-models.badge
+  type: badge
+  title: Introduction to clustering models by using R and tidymodels
+  summary: Get an introduction to clustering models. Clustering is the process of grouping objects with similar objects.
+  iconUrl: /training/achievements/machine-learning/introduction-clustering-models.svg
+- uid: learn.machine-learning.introduction-regression-models.badge
+  type: badge
+  title: Introduction to regression models by using R and tidymodels
+  summary: Get an introduction to regression models. In machine learning, the goal of regression is to create a model that can predict a numeric, quantifiable value.
+  iconUrl: /training/achievements/machine-learning/introduction-regression-models.svg
+- uid: learn.machine-learning.introduction-classification-models.badge
+  type: badge
+  title: Introduction to classification models by using R and tidymodels
+  summary: Classification is a form of machine learning in which you train a classification model to predict which category an item belongs to. In this module, you learn how to use the R programming language and tidymodels framework to train classification models.
+  iconUrl: /training/achievements/machine-learning/introduction-classification-models.svg
+- uid: learn.machine-learning.machine-learning-with-r.trophy
+  type: trophy
+  title: Create machine learning models with R and tidymodels
+  summary: Learn how to explore and analyze data by using R. Get an introduction to regression models, classification models, and clustering models by using tidymodels and R.
+  iconUrl: /training/achievements/machine-learning/machine-learning-with-r.svg
+- uid: learn.machine-learning.explore-analyze-data-r.badge
+  type: badge
+  title: Explore and analyze data with R
+  summary: In this module, you explore, analyze, and visualize data by using the R programming language.
+  iconUrl: /training/achievements/machine-learning/explore-analyze-data-r.svg
+- uid: learn.advocates.cv-classify-bird-species.badge
+  type: badge
+  title: Classify endangered bird species with Custom Vision
+  summary: As an ornithologist, you study the behavior, physiology, and conservation of birds and bird habitat. Your work often involves surveying, recording, and reporting on bird activity. You want to build a machine learning model that will identify a bird in an image by species, to help with gathering data. In this module, you use Azure AI Custom Vision to create a model to identify species of birds!
+  iconUrl: /training/achievements/advocates/cv-classify-bird-species.svg