The candidates who want to take the Microsoft DP-100 exam are expected to have competence in its objectives. This means that they need to understand the scope of topics covered in this certification test. They are as follows:

1. Azure ML Workspace Set-Up (30-35%):

• Data objects management within Azure ML workspace: The applicants should have competence in the creation and management of datasets, as well as maintenance and registration of datastores.
• Experiment compute contexts management: The test takers must be able to create compute instances and compute targets for training and experiments. They have to know how to establish suitable compute specifications for training workloads.
• Azure ML workspace creation: This area focuses on the students’ skills in creating Azure ML workspace, operating workspaces by using Azure ML studio, and configuring workspace settings.

No help, full refund

Our company is committed to help all of our customers to pass Microsoft DP-100日本語 as well as obtaining the IT certification successfully, but if you fail exam unfortunately, we will promise you full refund on condition that you show your failed report card to us. In the matter of fact, from the feedbacks of our customers the pass rate has reached 98% to 100%, so you really don't need to worry about that. Our DP-100日本語 exam simulation: Designing and Implementing a Data Science Solution on Azure (DP-100日本語版) sell well in many countries and enjoy high reputation in the world market, so you have every reason to believe that our DP-100日本語 study guide materials will help you a lot.

We believe that you can tell from our attitudes towards full refund that how confident we are about our products. Therefore, there will be no risk of your property for you to choose our DP-100日本語 exam simulation: Designing and Implementing a Data Science Solution on Azure (DP-100日本語版), and our company will definitely guarantee your success as long as you practice all of the questions in our DP-100日本語 study guide materials. Facts speak louder than words, our exam preparations are really worth of your attention, you might as well have a try.

After purchase, Instant Download: 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.)

Under the situation of economic globalization, it is no denying that the competition among all kinds of industries have become increasingly intensified (DP-100日本語 exam simulation: Designing and Implementing a Data Science Solution on Azure (DP-100日本語版)), especially the IT industry, there are more and more IT workers all over the world, and the professional knowledge of IT industry is changing with each passing day. Under the circumstances, it is really necessary for you to take part in the Microsoft DP-100日本語 exam and try your best to get the IT certification, but there are only a few study materials for the IT exam, which makes the exam much harder for IT workers. Now, here comes the good news for you. Our company has committed to compile the DP-100日本語 study guide materials for IT workers during the 10 years, and we have achieved a lot, we are happy to share our fruits with you in here.

DP-100 Exam Outline

The Microsoft DP-100 was recently renewed to meet the most current market needs and now it measures the following skills:

• Setting Up the Workspace for Azure Machine Learning;
• Optimizing and Managing Models;
• Deploying and Consuming Models;
• Running Experiments and Training Models.

The DP-100 exam domain of Setting Up the Workspace for Azure Machine Learning (ML) has three sections. The first touches on creating the workspace for ML. Here, you're to come across tasks like creating and configuring the workspace and managing it using Azure ML studio. The next part is concerning data object management within the workspace of Azure ML, where the focus goes to registering and maintaining datasets. The final aspect regards maintaining contexts for experiment compute. Under this, there will be creating instances for compute, determining the appropriate specs for compute targeting workload training, and developing targets for compute directed at experiments as well as training.

Regarding Optimizing and Managing Models, candidates will build their skills in five crucial areas. To begin is the area of creating optimal models using automated ML. This takes into account areas like Azure ML studio, Azure ML SDK, scaling options for pre-processing, algorithm determination, and getting data to be utilized in running the automated ML. The next thing goes into tuning hyperparameters using hyperdrive. Candidates need to note the sampling methods, search space, primary metric, termination options, and the right model. Another field concerns managing models where coverage includes model interpreters and feature importance data. Finally, students will learn how to manage models by exploring trained model registration, monitoring model usage, and monitoring data drift.

The Microsoft DP-100 exam also deals with the Deploying and Consuming Models. Of interest, there are four sections. It starts with the creation of targets for production compute involving security meant for deployed services & compute options targeting deployment. It's followed by the part of deploying a model as a service. This touches deployment settings, consuming deployed services, and troubleshooting issues for deployment containers. The next segment is creating a batch interference pipeline. Finally, students look at publishing a web service in the form of a designer pipeline. Issues also covered are compute resource, inference pipeline, and consumption of an already deployed endpoint.

The last DP-100 exam domain talks about Running Experiments and Training Models. The first way to achieve abilities in this area is by learning how to use Azure ML Designer to create models. This will be actualized by exploring creation of a training pipeline, ingestion of data within a designer pipeline, defining data flow for a pipeline using designer modules, and using modules for custom code. The second one regards running training scripts within the Azure ML workspace. Within this sphere, the students' focus will be how to use the Azure ML SDK in consuming data from a dataset in an experiment. The third thing in this topic has to do with using an experiment run to generate metrics. Here, learning includes log metrics, retrieving and viewing experiment outputs, and troubleshooting experiment errors using logs. The fourth and final area of concern is automating the process of model training. This includes developing a pipeline by utilizing the SDK, passing data, running a pipeline, and monitoring pipeline runs.

Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx

Target Audience & Requirements

The candidates for this Microsoft exam are Azure Data Scientists. These professionals have expertise in applying their knowledge of machine learning and data science to run and implement ML workloads on Azure. This is particularly in the usage of Azure ML Service. These applicants are the experts in planning and creating the appropriate working environments for data science workloads within Azure. They also train predictive models and run data experiments. The individuals who want to earn ACE college credit can also take this certification test.

The Microsoft DP-100: Designing & Implementing a Data Science Solution on Azure test has no official requirement. However, the candidates must develop an in-depth understanding of the exam topics. They should also have expertise in model optimization and management and ML models deployment within the production.

Free demo before buying

We are so proud of high quality of our DP-100日本語 exam simulation: Designing and Implementing a Data Science Solution on Azure (DP-100日本語版), and we would like to invite you to have a try, so please feel free to download the free demo in the website, we firmly believe that you will be attracted by the useful contents in our DP-100日本語 study guide materials. There are all essences for the IT exam in our Designing and Implementing a Data Science Solution on Azure (DP-100日本語版) exam questions, which can definitely help you to passed the IT exam and get the IT certification easily.

Convenience for reading and printing

In our website, there are three versions of DP-100日本語 exam simulation: Designing and Implementing a Data Science Solution on Azure (DP-100日本語版) for you to choose from namely, PDF Version, PC version and APP version, you can choose to download any one of DP-100日本語 study guide materials as you like. Just as you know, the PDF version is convenient for you to read and print, since all of the useful study resources for IT exam are included in our Designing and Implementing a Data Science Solution on Azure (DP-100日本語版) exam preparation, we ensure that you can pass the IT exam and get the IT certification successfully with the help of our DP-100日本語 practice questions.

Difficulty in writing DP-100 Exam

Microsoft Certified Azure Data Scientist Associate Certification exam has a higher rank in the Information Technology sector. Candidate can add the most powerful Microsoft DP-100 certification on their resume by passing Microsoft DP-100 exam. Microsoft DP-100 is a very challenging exam Candidate will have to work hard to pass this exam. With the help of Sfyc-Ru provided the right focus and preparation material passing this exam is an achievable goal. Sfyc-Ru provide the most relevant and updated Microsoft DP-100 exam dumps. Furthermore, We also provide the Microsoft DP-100 practice test that will be much beneficial in the preparation. Our aims to provide the best Microsoft DP-100 pdf exam dumps. We are providing all useful preparation materials such as Microsoft DP-100 exam dumps that had been verified by the Microsoft experts, Microsoft DP-100 braindumps and customer care service in case of any problem. These are things are very helpful in passing the exam with good grades.