The Microsoft DP-100 Exam Questions is designed for professionals who want to validate their skills in designing and implementing data science solutions on Azure. The exam is a key step toward earning the Microsoft Certified Azure Data Scientist Associate certification. This certification confirms your expertise in applying data science techniques and machine learning models to solve real-world problems using Azure.

Key Exam Topic Data Exploration and Preparation

One of the main topics in the DP-100 exam is Data Exploration and Preparation. Candidates need to demonstrate their ability to gather and clean data before analysis. This involves handling missing data, feature engineering, and transforming datasets into usable formats for modeling. Understanding how to use tools like Azure Machine Learning Studio for data preprocessing is essential for this section.

This topic also covers data visualization techniques. You will be tested on your ability to interpret data trends and patterns, and how to use them in modeling. Mastering this will ensure success in the DP-100 exam.

Key Exam MCQs

  • Which tool is commonly used for data preparation in Azure?

A) Azure Data Factory

B) Azure Machine Learning Studio

C) Azure Key Vault

D) Azure Kubernetes Service

  • What is the main purpose of feature engineering in data science?

A) Reduce data size

B) Improve model accuracy

C) Enhance data security

D) Automate data cleaning

  • Which format is most suitable for storing large-scale data in Azure for machine learning?

A) JSON

B) CSV

C) Parquet

D) XML

FAQs

  • What is the passing score for the DP-100 exam?
    The passing score is 700 out of 1000.
  • Can I use Microsoft dumps free download for DP-100 preparation?
    While some resources offer Microsoft free PDF dumps, always ensure you use trusted materials for accurate exam preparation.
  • How many questions are on the DP-100 exam?
    The exam typically includes 40-60 exam questions with a mix of multiple-choice and case studies.

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