Requirements

• knowledge of Microsoft Azure Data Scientist Associate

Description

It is an expertly crafted online course designed to prepare learners for the Microsoft DP-100 certification exam, a key step in becoming an Azure Data Scientist Associate. Spanning over a comprehensive series of mock exams, this course offers an in-depth exploration of the real-world scenarios and challenges faced by data scientists in the Azure environment.

The course content is meticulously structured to cover all critical areas of the DP-100 exam, including data science and machine learning concepts, Azure Machine Learning service, and the implementation and management of machine learning solutions on the Azure platform. It emphasizes hands-on learning, with practice tests mirroring the format and difficulty level of the actual exam.

Participants will engage with a variety of question types, including multiple-choice, case studies, ensuring a well-rounded preparation. Detailed explanations and feedback are provided for each question, aiding learners in understanding complex concepts and learning from their mistakes.

This course is ideal for IT professionals, data analysts, and aspiring data scientists seeking to validate their skills in Azure's data science tools and technologies. It's an invaluable resource for anyone aiming to achieve the Azure Data Scientist Associate certification, offering a realistic and challenging practice environment to boost confidence and proficiency before the actual exam.

The scope of the exam:

• Design and prepare a machine learning solution

  • Design a machine learning solution

  • Manage an Azure Machine Learning workspace

  • Manage data in an Azure Machine Learning workspace

  • Manage compute for experiments in Azure Machine Learning

• Explore data and train models

  • Explore data by using data assets and data stores

  • Create models by using the Azure Machine Learning designer

  • Use automated machine learning to explore optimal models

  • Use notebooks for custom model training

  • Tune hyperparameters with Azure Machine Learning

• Prepare a model for deployment

  • Run model training scripts

  • Implement training pipelines

  • Manage models in Azure Machine Learning

• Deploy and retrain a model

  • Deploy a model

  • Apply machine learning operations (MLOps) practices

Is it possible to take the practice test more than once?

Certainly, you are allowed to attempt each practice test multiple times. Upon completion of the practice test, your final outcome will be displayed. With every attempt, the sequence of questions and answers will be randomized.

Is there a time restriction for the practice tests?

Indeed, each test comes with a time constraint of 120 seconds for each question.

What score is required?

The target achievement threshold for each practice test is to achieve at least 70% correct answers.

Do the questions have explanations?

Yes, all questions have explanations for each answer.

Am I granted access to my responses?

Absolutely, you have the opportunity to review all the answers you submitted and ascertain which ones were correct and which ones were not.

Are the questions updated regularly?

Indeed, the questions are routinely updated to ensure the best learning experience.

Additional Note: It is strongly recommended that you take these exams multiple times until you consistently score 90% or higher on each test. Take the challenge without hesitation and start your journey today. Good luck!

Who this course is for:

• Aspiring Data Scientists: Individuals who are aiming to build a career in data science and want to get certified in Azure Data Science solutions.
• IT Professionals: Those already working in IT
• especially in roles related to data management
• big data
• machine learning
• or cloud computing
• who wish to upskill or cross-skill in Azure data science technologies.
• Students and Graduates: Students of computer science
• data science
• statistics
• or related fields who want to enhance their practical skills and gain a certification that could improve their job prospects.
• Data Analysts and Engineers: Professionals who work with data and want to expand their expertise to include cloud-based data science solutions using Microsoft Azure.
• Machine Learning Enthusiasts: Individuals with an interest in machine learning and looking to understand how to implement these solutions in the Azure environment.
• Azure Professionals: Those who are already familiar with other aspects of Microsoft Azure and are looking to specialize in the data science domain.
• Career Changers: Individuals from different professional backgrounds seeking to transition into a role in data science or cloud computing.