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Microsoft Certified Fabric Analytics Engineer (DP-600)

Learn to harness data insights with Microsoft Fabric Analytics, and to analyze and visualize data to drive informed decision-making and business growth.

course: Microsoft Certified Fabric Analytics Engineer (DP-600)

Duration: 4 days

Format: Virtual or Classroom

prepare-exam Prepares for Exam : Implementing Analytics Solutions Using Microsoft Fabric (DP-600)

certification-icon Prepares for Certification : Microsoft Certified: Fabric Analytics Engineer Associate

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Overview Curriculum Preparation Instructors FAQ Reviews Unlimited

Overview

Excel in fabric analytics engineering with our specialized training course. Learn to design and implement fabric analytics solutions using Microsoft technologies. From data collection to data visualization, this course covers all aspects of fabric analytics engineering. With hands-on labs and expert guidance, you'll gain the skills needed to pass the DP-600 exam and become certified as a Microsoft Certified Fabric Analytics Engineer. Enroll now and become an expert in fabric analytics engineering with our comprehensive training and certification course.

This course includes.
  • intructor-iconInstructor-led training
  • intructor-iconPractice test
  • intructor-iconPre-reading
  • intructor-iconPersonal Learning Path
  • intructor-iconCertification Guarantee
  • intructor-iconEmail, chat and phone support
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Who is this course for?

Who is the Microsoft Certified Fabric Analytics Engineer (DP-600) training course for?

The primary audience for this course is data professionals with experience in data modeling, extraction, and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.

Curriculum

What you will learn during our Microsoft Certified Fabric Analytics Engineer (DP-600) course.

  • Identify requirements for a solution, including components, features, performance, and capacity stockkeeping units (SKUs)
  • Recommend settings in the Fabric admin portal
  • Choose a data gateway type
  • Create a custom Power BI report theme
  • Implement workspace and itemlevel access controls for Fabric items
  • Implement data sharing for workspaces, warehouses, and lakehouses
  • Manage sensitivity labels in semantic models and lakehouses
  • Configure Fabricenabled workspace settings
  • Manage Fabric capacity
  • Implement version control for a workspace
  • Create and manage a Power BI Desktop project (.pbip)
  • Plan and implement deployment solutions
  • Perform impact analysis of downstream dependencies from lakehouses, data warehouses, dataflows, and semantic models
  • Deploy and manage semantic models by using the XMLA endpoint
  • Create and update reusable assets, including Power BI template (.pbit) files, Power BI data source (.pbids) files, and shared semantic models
  • Ingest data by using a data pipeline, dataflow, or notebook
  • Create and manage shortcuts
  • Implement file partitioning for analytics workloads in a lakehouse
  • Create views, functions, and stored procedures
  • Enrich data by adding new columns or tables
  • Choose an appropriate method for copying data from a Fabric data source to a lakehouse or warehouse
  • Copy data by using a data pipeline, dataflow, or notebook
  • Add stored procedures, notebooks, and dataflows to a data pipeline
  • Schedule data pipelines
  • Schedule dataflows and notebooks
  • Implement a data cleansing process
  • Implement a star schema for a lakehouse or warehouse, including Type 1 and Type 2 slowly changing dimensions
  • Implement bridge tables for a lakehouse or a warehouse
  • Denormalize data
  • Aggregate or deaggregate data
  • Merge or join data
  • Identify and resolve duplicate data, missing data, or null values
  • Convert data types by using SQL or PySpark
  • Filter data
  • Identify and resolve data loading performance bottlenecks in dataflows, notebooks, and SQL queries
  • Implement performance improvements in dataflows, notebooks, and SQL queries
  • Identify and resolve issues with Delta table file sizes
  • Choose a storage mode, including Direct Lake
  • Identify use cases for DAX Studio and Tabular Editor 2
  • Implement a star schema for a semantic model
  • Implement relationships, such as bridge tables and manytomany relationships
  • Write calculations that use DAX variables and functions, such as iterators, table filtering, windowing, and information functions
  • Implement calculation groups, dynamic strings, and field parameters
  • Design and build a large format dataset
  • Design and build composite models that include aggregations
  • Implement dynamic rowlevel security and objectlevel security
  • Validate rowlevel security and objectlevel security
  • Implement performance improvements in queries and report visuals
  • Improve DAX performance by using DAX Studio
  • Optimize a semantic model by using Tabular Editor 2
  • Implement incremental refresh
  • Implement descriptive and diagnostic analytics
  • Integrate prescriptive and predictive analytics into a visual or report
  • Profile data
  • Query a lakehouse in Fabric by using SQL queries or the visual query editor
  • Query a warehouse in Fabric by using SQL queries or the visual query editor
  • Connect to and query datasets by using the XMLA endpoint

Preparation

How to best be prepared for our Microsoft Certified Fabric Analytics Engineer (DP-600) course.

At Readynez, we provide many resources and have experienced experts in the field. That is why we are also very successful with many satisfied customers. You can therefore safely take your course with us. In order to take the DP-600 course, however, some prerequisites are required.

You have the perfect starting point to take this course with these prerequisites:

  • [Dictionary item: Orange-check] Fundamental understanding of Microsoft Azure and its data services.
  • [Dictionary item: Orange-check] Proficiency in using SQL for querying and manipulating data.
  • [Dictionary item: Orange-check] Familiarity with data storage and management solutions, including relational and non-relational databases.
  • [Dictionary item: Orange-check] Knowledge of data integration techniques and technologies, including ETL (Extract, Transform, Load) processes.
  • [Dictionary item: Orange-check] Experience in designing and implementing data solutions on cloud platforms.
  • [Dictionary item: Orange-check] Understanding of data warehousing principles and architectures.
  • [Dictionary item: Orange-check] Familiarity with big data concepts and technologies, such as Apache Hadoop and Apache Spark.
  • [Dictionary item: Orange-check] Proficiency in using development tools like Visual Studio or Azure Data Studio.
  • [Dictionary item: Orange-check] Strong problem-solving and analytical skills.
  • [Dictionary item: Orange-check] Excellent communication and collaboration skills.
  • [Dictionary item: Orange-check] Completion of relevant training or certification courses on Azure fundamentals and data engineering is recommended.

Meet our instructors

Meet some of the Readynez Instructors you can meet on your course. They are experts, passionate about what they do, and dedicated to give back to their industry, their field, and those who want to learn, explore, and advance in their careers.

Julian Sharp

Julian is an official Microsoft Business Application MVP and one of the most widely recognized experts on Dynamics 365.

Julian has been with Readynez almost since the start 11 years ago.

He has been an MCT since 2007 and he is a subject matter expert in all aspects of Dynamics 365 Customer Engagement through advice, optimization and training.

Julian has worked with Dynamics since first release and has over the past years used Azure to enhance solutions for users.

He is an official Microsoft Business Application MVP and is one of the most widely recognized experts for Power Platform and Dynamics 365 within the Microsoft Community.

He works as a Consultant on large international projects and and has extensive hands-on experience as well as numerous certifications.

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FAQ

FAQs for the Fabric Analytics Engineer (DP-600) course.

Microsoft Certified Fabric Analytics Engineer certification validates expertise in designing, implementing, and managing data analytics solutions using Azure Synapse Analytics and other Microsoft data platform technologies. It covers various aspects of data engineering, analytics development, and data visualisation, preparing professionals for roles in data analytics and business intelligence.

Become a Microsoft Certified Fabric Analytics Engineer with our specialized training course (DP-600). Prepare for the exam and gain certification as a Fabric Analytics Engineer with Readynez's comprehensive training program. Learn to design and implement analytics solutions that drive business insights and improve operational efficiency. Join us and become a leader in fabric analytics engineering.

While there are no strict prerequisites for Microsoft Certified Fabric Analytics Engineer certification, candidates should have a strong understanding of data engineering concepts, experience working with Azure Synapse Analytics, and proficiency in SQL and data manipulation languages. Familiarity with Azure data platform technologies is beneficial for exam preparation.

The cost of the DP-600 exam is approximately €135.34.

The DP-600 exam covers topics such as designing data storage solutions, ingesting and transforming data, building and optimizing data solutions, and designing for data security and compliance. It assesses candidates' abilities to design and implement data analytics solutions using Azure Synapse Analytics effectively.

Yes, Microsoft Certified Fabric Analytics Engineer certification is highly valuable for professionals pursuing careers in data engineering, analytics, and business intelligence using Microsoft Azure technologies. It demonstrates expertise in designing and implementing data analytics solutions with Azure Synapse Analytics, enhancing career opportunities and earning potential in the field.

The time it takes to become Microsoft Certified Fabric Analytics Engineer certified varies depending on individual experience, study habits, and preparation methods. Candidates typically spend several weeks to a few months preparing for the exam through self-study, training courses, and hands-on practice to build the necessary knowledge and skills.

Yes, Microsoft offers online proctored options for the DP-600 exam, allowing candidates to take the exam remotely from their home or office. Ensure your computer meets the technical requirements for online proctoring and follow the exam registration process outlined by Microsoft for online exam delivery.

The difficulty of passing the DP-600 exam depends on individual knowledge, experience, and preparation. Candidates with a solid understanding of data engineering principles, hands-on experience with Azure Synapse Analytics, and thorough exam preparation are more likely to succeed in passing the exam.

The passing score is typically around 700 out of 1000.

To maintain Microsoft Certified Fabric Analytics Engineer certification, certified professionals must renew their certification periodically by passing a renewal exam or completing relevant continuing education activities. Stay updated with the latest developments in Azure data analytics technologies, participate in advanced training courses, and engage in ongoing learning to maintain your certification status.

Salary potential for Microsoft Certified Fabric Analytics Engineer certified professionals varies based on factors such as location, experience, industry, and job role. Data engineers and analytics specialists with expertise in Azure Synapse Analytics and Microsoft data platform technologies typically command competitive salaries, with earning potential increasing with additional experience and specialization in the field.

Reviews

Feedback from our delegates.

Stephen Ridgway

Readynez is the best training provider I've used for many years. Their customer service is first class, prices are very competitive and instruction excellent.

Johan Andersson

Johan Andersson

Easy to attend over Teams and an excellent instructor gave me great value for the time I invested.

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