Advanced Time Series Anomaly Detector in Fabric
Anomaly Detector, one of Azure AI services, enables you to monitor and detect anomalies in your time series data. This service is being retired by October 2026, and as part of the migration process the anomaly detection algorithms were open sourced and published by a new Python package and we offer a time series anomaly detection workflow in Microsoft Fabric data platform.
DP-100 certificate
Hey community! I'm currently preparing the DP-100 certification with a couple of coworkers, two of them already tried a first time and couldn't approve it although they completed the learning path and consistently scored 90+ on the test exam. What they have told me is that the real exam has questions that are a lot harder, and especially, questions that are not really answerable with the materials from the learning path, they say that they saw many deep questions about DevOps and other questions of resources of Azure that are not really a part of Azure Machine Learning or Foundry. I wanted to ask if anyone had a similar experience with this, I thought the exam was centered on the use of azure machine learning (and AI foundry). Can the exam contain questions that are not related with azure machine learning or foundry? Would really appreciate help here! Thanks everyone!A walk in the tidyverse
If you worked with R to explore a dataset and build a report from this analysis, you have probably heard about the tidyverse. If you used R in your data science project, to fit a predictive model able to produce the most accurate prediction possible for new data, you have probably experimented with tidymodels. However, questions like “what is the tidyverse” or “how does the tidymodels framework fit in it” might still have no clear answer for you.
