FAQ

DP-600 Exam Prep Course Overview

DP-600 Exam Prep Course Overview

The DP-600 Exam Prep course is designed to equip learners with the necessary skills to plan, implement, manage, and maintain a data analytics solution on Microsoft Azure. In Module 1, participants will learn to strategize a Data analytics environment, execute and oversee it effectively, and manage the Analytics development lifecycle. Module 2 focuses on the technical skills required to build Data structures, transfer data, carry out transformations, and enhance performance for data processing. Module 3 delves into creating and optimizing Semantic models essential for complex data analysis. Finally, Module 4 provides insights on conducting Exploratory analytics and Querying data using SQL. This comprehensive course prepares learners to ace the DP-600 exam and to become proficient in Azure data solutions, thus empowering them to meet industry demands for robust data analytics expertise.
CoursePage_session_icon 

Successfully delivered 22 sessions for over 672 professionals

Purchase This Course

USD

575

View Fees Breakdown

Course Fee 575
Total Fees
575 (USD)
  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
  • Select Date
    date-img
  • CST(united states) date-img

Select Time


♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Classroom Training fee on request
Koeing Learning Stack

Koenig Learning Stack

Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Scroll to view more course dates

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Request More Information

Email:  WhatsApp:

Course Advisor

advisor-image

Prem Nidhi Sharma

9+ Years Experience

An effective communicator with good analytical, problem-solving, and organizational abilities. I enjoy interacting with people and providing solutions to their needs. I am an expert in making Training a Fun and learning experience. 

 

I am a seasoned Technical Lead with a strong foundation in data engineering and cloud technologies, holding certifications as a Microsoft Certified Data Engineer and Fabric Analytics Engineer. With a robust background as a Database Administrator across both on-premises and Azure cloud environments, I bring deep expertise in enterprise-scale data solutions.

My technical skill set includes hands-on experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS), along with advanced proficiency in Azure Databricks and end-to-end database development. I have successfully designed and implemented complex data architectures and analytics platforms that drive business insights and operational efficiency.

In addition to my technical acumen, I have had the privilege of training and consulting for leading global IT service providers such as HCL, Wipro, Cognizant, and Infosys, helping teams adopt best practices and leverage modern data tools effectively.

I am passionate about building scalable data ecosystems, mentoring cross-functional teams, and delivering innovative solutions that align with strategic business goals.

 

Target Audience for DP-600 Exam Prep

The DP-600 Exam Prep course equips professionals with skills in data analytics planning, management, and optimization.


Target audience for the DP-600 Exam Prep course includes:


  • Data Analysts
  • Business Intelligence Professionals
  • Data Engineers
  • Data Architects
  • Database Administrators
  • IT Professionals with a focus on data management
  • Data Scientists interested in infrastructure and analytics lifecycle management
  • Solution Architects designing data analytics environments
  • Professionals preparing for the DP-600 certification exam


Learning Objectives - What you will Learn in this DP-600 Exam Prep?

Introduction to the DP-600 Exam Prep Course Learning Outcomes:

The DP-600 Exam Prep course equips learners with the expertise to design, implement, and manage data analytics solutions, preparing them for the Microsoft certification exam.

Learning Objectives and Outcomes:

  • Understand how to evaluate business requirements and plan a suitable data analytics environment to meet organizational goals.
  • Gain proficiency in implementing and managing data analytics environments, ensuring they are scalable, reliable, and secure.
  • Learn to manage the analytics development lifecycle, including version control and deployment strategies.
  • Develop skills to create and manage objects within data lakehouses or warehouses, aligning with the data strategy.
  • Master the ability to copy and transform data efficiently, using tools and techniques that enhance data preparation processes.
  • Learn to optimize data transformation and storage for improved performance in data processing tasks.
  • Acquire the knowledge to design, build, and maintain semantic models that facilitate meaningful data analysis.
  • Understand how to optimize enterprise-scale semantic models for large datasets and complex business scenarios.
  • Develop competencies in performing exploratory data analysis using advanced analytical techniques to uncover insights.
  • Enhance SQL querying skills to retrieve and analyze data effectively, supporting data-driven decision-making processes.

Suggested Courses

What other information would you like to see on this page?
USD