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Microsoft Certified Azure Data Engineer (DP-203)
Your personal Learning Program with everything you need to best prepare for the DP-203 Exam and become a Certified Microsoft Azure Data Engineer, supported by your expert instructor.
Prepares for Exam : Data Engineering on Microsoft Azure (DP-203)
Prepares for Certification : Microsoft Certified: Azure Data Engineer Associate
The best course to get your DP-203 Microsoft Certified Azure Data Engineer Exam and Certification - with Certification Guarantee!
Achieving the Microsoft Azure Data Engineer certification is not an easy task, but with your Readynez Course and Learning Program we’ve done everything we can to support you from start to finish, ensuring you have the optimal conditions to succeed. That includes the best resources available to help you prepare, including relevant online courses, access to practical labs, practice test for Exam prep, study guides, exam support and guides etc, all made easily accessible to you in our Learning Platform. If you select our Virtual Training option, you also contribute to a more sustainable world with a reduction in CO2 emission of 96% compared to the in-classroom option.
Includes a comprehensive set of Learning materials for the best possible Exam prep- Includes access to extensive Labs for 180 days giving you practical hands-on experience
- Includes MeasureUp Practice Test to help you prepare for your Exam
- Full support available helping you register, prepare for and sit your exam
Who is the Microsoft Certified Azure Data (DP-203) Training Course for?
The Microsoft Certified Azure Data Engineer (DP-203) certification is designed for professionals who design and implement the management, monitoring, security, and privacy of data using the Azure data services. The certification is ideal for data engineers, data architects, and database administrators who want to validate their skills and knowledge in this area. The DP-203 exam covers various topics related to Azure data services, such as designing and implementing data storage solutions, designing and implementing data processing solutions, designing and implementing data security and compliance, and monitoring and optimizing data solutions. The exam also covers topics related to designing and implementing data integration and data migration solutions, using Azure Synapse Analytics and Azure Databricks, and working with Power BI and Azure Analysis Services.
Feedback from our Azure Data Engineer (DP-203) delegates
Thomas Persson
The instrcutor was brilliant. The best I've taken courses from, both in classrom and on-line.
Montserrat Peidro
I am really enjoying the training. The Readynez trainer is fun, clear and gives lots of examples that make the subject easy to follow and understand. The mix of explanation, slides, video and self-paced tutorial is perfect.
Everything you need to get the results you want
Your Personal Learning Program will provide the skills you need, to help you do more of what you love. The 3-step learning program is built to teach you real applicable skills that open opportunities for you.
How we get you certified
Readynez365: Your Personal Learning Program
The Readynez365 platform provides an enhanced digital pathway for all your learning elements, from pre-studies to exam, making it the most direct route to new tech Skills. Pick what you want (and need) to get up to speed. It´s all laid out for you in Readynez365 well in advance of your courses.
Learning Designed For The Virtual Classroom
The training methodology is designed for the virtual classroom to inspire and engage you with a variation of hands-on training, presentations, labs and tests. You’ll also be glad to know that Virtual instructor-led training is loved by managers - it is the most cost-effective way to train.
Expert Mentoring That Get’s You All The Way
There´s a maximum number of learners in the class to ensure your easy access to personal coaching. You’ll meet accredited expert instructors that are seasoned IT Professionals and Consultants certified to the highest level and bringing real-world experience into the classroom.
Exam & Skills Focus
We´ll cover the ins and outs of the subject so that you can apply it in your day-to-day work, and you’ll even learn the specifics that you need to know for the exam. It’s your choice whether to sit the exam, or not, but with our detailed guides and hotline, we’ll make it easy to access your exam voucher, and schedule and sit the exam online
Certification Guarantee
Your access to training is unlimited and you can train as much as you want until you successfully pass your exam.
Sustainable Learning - Train with a Clear Conscience
Train with a clear conscience with training that makes a 96% lower carbon footprint compared to in-classroom training. Our organisation operates with minimal environmental impact and we´ve reduced our Co2 emission with 96% since 2020.We are compliant with the ISO 14001 throughout our entire supply chain as your guarantee for our sustainable business practices.
What you will learn during our DP-203 Microsoft Certified Azure Data Engineer course
- Design a data storage structure
- Design an Azure Data Lake solution
- Recommend file types for storage
- Recommend file types for analytical queries
- Design for efficient querying
- Design for data pruning
- Design a folder structure that represents the levels of data transformation
- Design a distribution strategy
- Design a data archiving solution
- Design a partition strategy for files
- Design a partition strategy for analytical workloads
- Design a partition strategy for efficiency/performance
- Design a partition strategy for Azure Synapse Analytics
- Identify when partitioning is needed in Azure Data Lake Storage Gen2
- Design star schemas
- Design slowly changing dimensions
- Design a dimensional hierarchy
- Design a solution for temporal data
- Design for incremental loading
- Design analytical stores
- Design metastores in Azure Synapse Analytics and Azure Databricks
- Implement compression
- Implement partitioning
- Implement sharding
- Implement different table geometries with Azure Synapse Analytics pools
- Implement data redundancy
- Implement distributions
- Implement data archiving
- Build a temporal data solution
- Build a slowly changing dimension
- Build a logical folder structure
- Build external tables
- Implement file and folder structures for efficient querying and data pruning
- Deliver data in a relational star schema
- Deliver data in Parquet files
- Maintain metadata
- Implement a dimensional hierarchy
- Ingest and transform data
- Transform data by using Apache Spark
- Transform data by using Transact-SQL
- Transform data by using Data Factory
- Transform data by using Azure Synapse Pipelines
- Transform data by using Stream Analytics
- Cleanse data
- Split data
- Shred JSON
- Encode and decode data
- Configure error handling for the transformation
- Normalize and denormalize values
- Transform data by using Scala
- Perform data exploratory analysis
- Develop batch processing solutions by using Data Factory, Data Lake, Spark, Azure Synapse Pipelines, PolyBase, and Azure Databricks
- Create data pipelines
- Design and implement incremental data loads
- Design and develop slowly changing dimensions
- Handle security and compliance requirements
- Scale resources
- Configure the batch size
- Design and create tests for data pipelines
- Integrate Jupyter/IPython notebooks into a data pipeline
- Handle duplicate data
- Handle missing data
- Handle late-arriving data
- Upsert data
- Regress to a previous state
- Design and configure exception handling
- Configure batch retention
- Design a batch processing solution
- Debug Spark jobs by using the Spark UI
- Develop a stream processing solution by using Stream Analytics, Azure Databricks, and Azure Event Hubs
- Process data by using Spark structured streaming
- Monitor for performance and functional regressions
- Design and create windowed aggregates
- Handle schema drift
- Process time series data
- Process across partitions
- Process within one partition
- Configure checkpoints/watermarking during processing
- Scale resources
- Design and create tests for data pipelines
- Optimize pipelines for analytical or transactional purposes
- Handle interruptions
- Design and configure exception handling
- Upsert data
- Replay archived stream data
- Design a stream processing solution
- Trigger batches
- Handle failed batch loads
- Validate batch loads
- Manage data pipelines in Data Factory/Synapse Pipelines
- Schedule data pipelines in Data Factory/Synapse Pipelines
- Implement version control for pipeline artifacts
- Manage Spark jobs in a pipeline
- Design security for data policies and standards
- Design data encryption for data at rest and in transit
- Design a data auditing strategy
- Design a data masking strategy
- Design for data privacy
- Design a data retention policy
- Design to purge data based on business requirements
- Design Azure role-based access control (Azure RBAC) and POSIX-like Access Control List (ACL) for Data Lake Storage Gen2
- Design row-level and column-level security
- Implement data masking
- Encrypt data at rest and in motion
- Implement row-level and column-level security
- Implement Azure RBAC
- Implement POSIX-like ACLs for Data Lake Storage Gen2
- Implement a data retention policy
- Implement a data auditing strategy
- Manage identities, keys, and secrets across different data platform technologies
- Implement secure endpoints (private and public)
- Implement resource tokens in Azure Databricks
- Load a DataFrame with sensitive information
- Write encrypted data to tables or Parquet files
- Manage sensitive information
- Monitor data storage and data processing
- Implement logging used by Azure Monitor
- Configure monitoring services
- Measure performance of data movement
- Monitor and update statistics about data across a system
- Monitor data pipeline performance
- Measure query performance
- Monitor cluster performance
- Understand custom logging options
- Schedule and monitor pipeline tests
- Interpret Azure Monitor metrics and logs
- Interpret a Spark directed acyclic graph (DAG)
- Compact small files
- Rewrite user-defined functions (UDFs)
- Handle skew in data
- Handle data spill
- Tune shuffle partitions
- Find shuffling in a pipeline
- Optimize resource management
- Tune queries by using indexers
- Tune queries by using cache
- Optimize pipelines for analytical or transactional purposes
- Optimize pipeline for descriptive versus analytical workloads
- Troubleshoot a failed spark job
- Troubleshoot a failed pipeline run
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.
Tiago Costa
Tiago Costa is Microsoft MVP and a Cloud Architect and Advisor and International speaker on the Microsoft Cloud.
Ed Baker
Ed is a Microsoft MVP for many years and has authored several Microsoft Official Curriculum Courses for Azure, Windows Server and Windows.
How to best be prepared for our DP-203 Microsoft Certified Azure Data Engineer course
At Readynez, we provide many resources and have experienced experts in the field. That is why we also have great success with satisfied customers. You can therefore safely take your course with us. In order to take the DP-203 course, however, some prerequisites are required.
You have the perfect starting point to take this course with these prerequisites:
- A strong knowledge of data processing languages such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns.
Our track record
With 15 years experience and more than 35.000 happy customers from all over the world, companies such as ALSO, ATEA, Microsoft, Serco, and many more, trust Readynez to help them train and certify their staff.
- Top rated courses, with learners most often rating their training 10/10
- Globally recognized expert instructors, many of which are MVP's
- 35.000 delegates trained and certified
- Trusted provider of large training projects for many large companies
These are just some of the many major brands trusting Readynez.
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VIEW COURSEFAQ's for DP-203
A Microsoft Certified Azure Data Engineer (DP-203) is a professional who specializes in designing and implementing data solutions on Microsoft Azure. This includes the design and implementation of data storage, data processing, and data security technologies. The engineer should have a deep understanding of various Azure data services, such as Azure Cosmos DB, Azure Stream Analytics, and Azure Data Lake Storage, as well as knowledge of other data technologies such as SQL Server and Hadoop. The certification validates the candidate's ability to design and implement data solutions using Azure services and tools.
The number of questions in the DP-203 exam can vary, as Microsoft does not disclose the exact number of questions for any of their exams. However, based on previous test takers' experiences, the DP-203 exam usually consists of around 40-60 multiple-choice questions.
The cost of the DP-203 exam can vary as per your country and currency, but to give you an idea, the cost of DP-203 in France is €165.
The passing score for the DP-203 exam is 700 out of 1000.
The DP-203 exam has a time limit of 180 minutes (3 hours).
According to Microsoft, the validity period for the DP-203 certification is two years. After that, the certification holder will need to renew their certification by passing a renewal exam or demonstrating their continued expertise through other qualifying activities.
To take the DP-203 exam, Microsoft recommends that candidates have a foundational knowledge of Azure data services, including Azure Data Lake Storage, Azure Stream Analytics, and Azure Synapse Analytics. Additionally, candidates should have experience with SQL Server and knowledge of data warehousing, data modeling, and data processing concepts. There are no formal prerequisites for the DP-203 exam, but Microsoft recommends that candidates have practical experience with Azure data solutions before taking the exam.
Yes, the DP-203 exam requires previous experience in data engineering, data solutions, and data platform technologies using Azure services. Microsoft recommends that candidates have at least two years of experience working with relational and non-relational data stores, batch and real-time data processing, and data integration and transformation. Candidates should also know about Azure data services, such as Azure Cosmos DB, Azure Stream Analytics, and Azure Data Factory.
The difficulty level of the DP-203 exam depends on the candidate's knowledge and experience with Azure Data engineering concepts and technologies. It is considered a challenging exam, and candidates are expected to have a strong understanding of the exam topics to pass. However, with adequate preparation and hands-on experience, passing the DP-203 exam is achievable.
The time it takes to prepare for the DP-203 exam can vary depending on the candidate's prior experience, knowledge, and study habits. Microsoft recommends candidates have at least one to two years of experience working with Azure technologies before taking the exam. However, candidates who are new to the technology may need several months to a year of dedicated study and practical experience to feel confident in their understanding and be adequately prepared for the exam. Additionally, attending training courses and using study materials can help accelerate the preparation process.
According to Payscale, the average salary for a Microsoft Certified Azure Data Engineer in the United States is around $109,000 per year, with a range of $74,000 to $150,000 depending on factors such as experience, location, and industry.
Yes, the Microsoft Certified Azure Data Engineer certification is worth it for individuals looking to demonstrate their skills in designing and implementing data solutions on the Azure platform. The certification can provide several benefits, including:
Career advancement:
The certification can help professionals advance their careers by opening up new job opportunities and potentially leading to higher salaries and more challenging roles within an organization.
Industry recognition:
The certification is a globally recognized credential that demonstrates a candidate's expertise and proficiency in designing and implementing data solutions on Azure.
Competitive advantage:
The certification can give job seekers a competitive edge over others who don't have the certification, as it demonstrates their skills and knowledge in a particular area.
Continuous learning:
The certification requires candidates to stay up-to-date with the latest developments and best practices in Azure data engineering, ensuring they remain competitive in the market.
The DP-203 exam is a computer-based test that is delivered through Pearson VUE testing centers or online proctoring. The exam consists of multiple-choice questions and may also include other types of questions such as drag-and-drop and simulation. Candidates have a set amount of time to complete the exam and must achieve a passing score to earn the certification.
Preparing for the DP-203 certification exam involves reviewing exam objectives, gaining practical experience, utilizing Microsoft's official learning resources, and supplementing with third-party study materials. Joining online communities or user groups, taking advantage of hands-on training, and practicing time management and test-taking strategies are also essential. It's important to review and reflect on exam results to identify areas for improvement for the next attempt.
We would also encourage you to check Readynez courses designed to help candidates gain practical experience with Azure data services and prepare for the exam. The course provides hands-on training and access to experienced instructors who can guide and support candidates throughout the training process. The training covers all of the necessary exam objectives and supplements learning with third-party study materials, such as practice exams and study guides.
A Microsoft Certified Azure Data Engineer certification can open up several job opportunities, including Azure Data Engineer, Azure Data Solution Architect, Big Data Engineer, Data Warehouse Engineer, Business Intelligence Engineer, and Cloud Data Engineer. These roles require expertise in data engineering, data management, and data storage using Azure data services, which the DP-203 certification validates. Additionally, these roles offer competitive salaries, and there is high demand for professionals with Azure data skills.
The Virtual Classroom is an online room, where you will join your instructor and fellow classmates in real time. Everything happens live and you can interact freely, discuss, ask questions, and watch your instructor present on a whiteboard, discuss the courseware and slides, work with labs, and review.
Yes, you can sit exams from all the major Vendors like Microsoft, Cisco etc from the comfort of your home or office.
With Readynez you do any course form the comfort of your home or office. Readynez provides support and best practices for your at-home classroom and you can enjoy learning with minimal impact on your day-to-day life. Plus you'll save the cost and the environmental burden of travelling.
Well, learning is limitless, when you are motivated, but you need the right path to achieve what you want. Readynez consultants have many years of experience customizing learner paths and we can design one for you too. We are always available with help and guidance, and you can reach us on the chat or write us at info@readynez.com.