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Microsoft provides you with the elaborate outline of the skills that you need to acquire before attempting the test. The specific topics of the exam along with the main subtopics are enumerated below:
Answering the questions that are drawn from this domain, the test takers should be able to perform the tasks such as performing feature selection as well as performing feature extraction.
To answer the questions within this objective, the applicants should have the professional ability to accomplish such technical tasks as selecting a development environment; quantifying the business problem; setting up a development environment; etc.
The skills measured within this topic include selecting an algorithmic approach; evaluating model performance; training the model; identifying data imbalances; splitting datasets, and so on.
This subject area revolves around cleansing and transforming data; performing EDA (Exploratory Data Analysis); transforming data into usable datasets.
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The Microsoft DP-100 test is associated with the Microsoft Certified: Azure Data Scientist Associate certificate. It is a recently launched certification by Microsoft trying to impart the knowledge of concepts related to machine learning techniques. As a rule, earners are known to have industry-standard expertise related to evaluation and deployment models for building ML solutions. Apart from grating this noteworthy designation, the Microsoft DP-100 exam will also help the test-taker to gain some ACE college credits.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
Nowadays, information technology is everywhere around us. The development of technology has a significant influence toward the society (Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) valid practice test). As the most potential industry, the industry has attracted many people. For example, there are many candidates attending the exam and fighting hard to be among the lucky ones to enter their desired companies. But what can you do to make yourself outstanding among the large crowd? Getting a Designing and Implementing a Data Science Solution on Azure (DP-100 Korean Version) exam certification will help you a lot.
DP-100 syllabus includes concepts of machine learning workloads, handling data experiments, optimizing and managing models, and many more. This is an associate-level test that creates a strong base for candidates' future professional development. This Microsoft exam is associated with the Microsoft Certified: Azure Data Scientist Associate certification. This is the only test that one has to ace to become accredited and is considered the best choice as it has no formal prerequisites & allows specialists to validate their proficiency in utilizing Azure Machine Learning Service and many other related solutions.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design and prepare a machine learning solution | 20-25% | - Design an Azure Machine Learning workspace
|
| Topic 2: Explore data and train models | 35-40% | - Optimize model performance
|
| Topic 3: Prepare a model for deployment | 20-25% | - Deploy machine learning models
|
| Topic 4: Deploy and retrain models | 10-15% | - Monitor deployed models
|
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