Free Demo
Our website has a long history of providing Microsoft DP-100 exam tests materials. It has been a long time in certified IT industry with well-known position and visibility. Our DP-100 dumps contain DP-100 exam questions and test answers, which written by our experienced IT experts who explore the information about DP-100 practice exam through their knowledge and experience. You not only can get the latest DP-100 exam pdf in our website, but also enjoy comprehensive service when you purchase. If you want to participate in the Microsoft Azure DP-100 exam tests, select our DP-100 ValidExam pdf is unquestionable choice.
Our expert team has developed a latest short-term effective training scheme for Microsoft DP-100 practice exam, which is a 20 hours of training of DP-100 exam pdf for candidates. After training you not only can quickly master the knowledge of DP-100 valid vce, bust also consolidates your ability of preparing DP-100 valid dumps. So they can easily pass DP-100 exam tests and it is much more cost-effective for them than those who spend lots of time and energy to prepare for DP-100 exam questions.
Our valid DP-100 exam questions are proved to be effective by some candidates who have passed DP-100 Designing and Implementing a Data Science Solution on Azure practice exam. Our DP-100 exam pdf materials are almost same with real exam paper. Besides, in order to make you to get the most suitable method to review your DP-100 valid dumps, we provide three versions of the DP-100 ValidExam pdf materials: PDF, online version, and test engine. We believe that there is always a way to help your DP-100 practice exam. And each version has latest DP-100 exam questions materials for your free download.
The most effective and smartest way to pass exam
After you received our DP-100 exam pdf, you just need to take one or two days to practice our DP-100 valid dumps and remember the test answers in accordance with DP-100 exam questions. If you do these well, passing exam is absolute.
One-year free updating
Once you make payment for our DP-100 pdf, you will have access to the free update your DP-100 valid vce one-year. If there are latest versions released, we will send it to your email immediately. You just need to check your mailbox.
For more info visit:
Microsoft DP-100 Exam Reference
Microsoft DP-100 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Manage Azure resources for machine learning (25-30%) | |
| Create an Azure Machine Learning workspace | - create an Azure Machine Learning workspace - configure workspace settings - manage a workspace by using Azure Machine Learning studio |
| Manage data in an Azure Machine Learning workspace | - select Azure storage resources - register and maintain datastores - create and manage datasets |
| Manage compute for experiments in Azure Machine Learning | - determine the appropriate compute specifications for a training workload - create compute targets for experiments and training - configure Attached Compute resources including Azure Databricks - monitor compute utilization |
| Implement security and access control in Azure Machine Learning | - determine access requirements and map requirements to built-in roles - create custom roles - manage role membership - manage credentials by using Azure Key Vault |
| Set up an Azure Machine Learning development environment | - create compute instances - share compute instances - access Azure Machine Learning workspaces from other development environments |
| Set up an Azure Databricks workspace | - create an Azure Databricks workspace - create an Azure Databricks cluster - create and run notebooks in Azure Databricks - link and Azure Databricks workspace to an Azure Machine Learning workspace |
Run Experiments and Train Models (20-25%) | |
| Create models by using the Azure Machine Learning Designer | - create a training pipeline by using Azure Machine Learning designer - ingest data in a designer pipeline - use designer modules to define a pipeline data flow - use custom code modules in designer |
| Run model training scripts | - create and run an experiment by using the Azure Machine Learning SDK - configure run settings for a script - consume data from a dataset in an experiment by using the Azure Machine Learning SDK - run a training script on Azure Databricks compute - run code to train a model in an Azure Databricks notebook |
| Generate metrics from an experiment run | - log metrics from an experiment run - retrieve and view experiment outputs - use logs to troubleshoot experiment run errors - use MLflow to track experiments - track experiments running in Azure Databricks |
| Use Automated Machine Learning to create optimal models | - use the Automated ML interface in Azure Machine Learning studio - use Automated ML from the Azure Machine Learning SDK - select pre-processing options - select the algorithms to be searched - define a primary metric - get data for an Automated ML run - retrieve the best model |
| Tune hyperparameters with Azure Machine Learning | - select a sampling method - define the search space - define the primary metric - define early termination options - find the model that has optimal hyperparameter values |
Deploy and operationalize machine learning solutions (35-40%) | |
| Select compute for model deployment | - consider security for deployed services - evaluate compute options for deployment |
| Deploy a model as a service | - configure deployment settings - deploy a registered model - deploy a model trained in Azure Databricks to an Azure Machine Learning endpoint - consume a deployed service - troubleshoot deployment container issues |
| Manage models in Azure Machine Learning | - register a trained model - monitor model usage - monitor data drift |
| Create an Azure Machine Learning pipeline for batch inferencing | - configure a ParallelRunStep - configure compute for a batch inferencing pipeline - publish a batch inferencing pipeline - run a batch inferencing pipeline and obtain outputs - obtain outputs from a ParallelRunStep |
| Publish an Azure Machine Learning designer pipeline as a web service | - create a target compute resource - configure an Inference pipeline - consume a deployed endpoint |
| Implement pipelines by using the Azure Machine Learning SDK | - create a pipeline - pass data between steps in a pipeline - run a pipeline - monitor pipeline runs |
| Apply ML Ops practices | - trigger an Azure Machine Learning pipeline from Azure DevOps - automate model retraining based on new data additions or data changes - refactor notebooks into scripts - implement source control for scripts |
Implement Responsible ML (5-10%) | |
| Use model explainers to interpret models | - select a model interpreter - generate feature importance data |
| Describe fairness considerations for models | - evaluate model fairness based on prediction disparity - mitigate model unfairness |
| Describe privacy considerations for data | - describe principles of differential privacy - specify acceptable levels of noise in data and the effects on privacy |
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
No Help, Full Refund
We promise you full refund if you failed DP-100 exam tests with our dumps. Or you can choose to wait the updating or free change to other dumps if you have other test.
Instant Download DP-100 Free Dumps: Upon successful payment, Our systems will automatically send the product you have purchased to your mailbox by email. (If not received within 12 hours, please contact us. Note: don't forget to check your spam.)
Exam simulation of online test engine
Online version brings users a new experience that you can feel the atmosphere of real DP-100 exam tests. It makes exam preparation process smooth and can support Windows/Mac/Android/iOS operating systems, which allow you to practice valid DP-100 exam questions and review your DP-100 valid vce at any electronic equipment. It has no limitation of the number you installed. So you can prepare your DP-100 dumps without limit of time and location. Online version perfectly suit to IT workers.
