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Microsoft DP-203 Facts

100% Latest Microsoft DP-203 exam dumps & updated practice test questions to study and pass Microsoft DP-203 exam fast and easily! Updated & Latest Microsoft DP-203 Data Engineering on Microsoft Azure (beta) practice exam questions & braindumps uploaded by the real users and reviewed by experts for easy studying and passing Read More.

About DP-203 Exam

The Microsoft DP-203: Data Engineering on Microsoft Azure (beta) exam is designed for those IT professionals who have a deep knowledge of various languages related to data processing along with the concept of parallel processing and patterns for data architecture. Moreover, this exam is an essential requirement for earning the Microsoft Certified: Azure Data Engineer Associate certification.

Exam Overview

The Microsoft DP-203 certification exam authenticates the individuals’ knowledge of different structured as well as unstructured data systems. Also, it checks one’s skills in transforming, integrating, and consolidating these forms of data. Furthermore, in order to get through DP-203 test, the candidate must have skills in programming with Python, SQL, or Scala. Also, this official exam covers the concepts of design, implementation, development, monitoring, and optimization of data storage, data processing, and data security.

All of the above topics are included in this proctored 130-minute test, which you will get access to after you register and pay the exam fee. Please note that the final cost depends on the applicant's country of residence. Thus, candidates from the United States must pay $165 to receive a voucher.

This test is currently available in a beta version. And as early as June 30, 2021, it will completely replace DP-200 and DP-201 exams associated with the Microsoft Certified: Azure Data Engineer Associate accreditation.

Associated Certification Overview

As already noted above, DP-203 certification test is a prerequisite for the Microsoft Certified: Azure Data Engineer Associate certificate. It relates to the associate level and is best for those with expertise in integration, transformation, and consolidation of data from different data systems that are essential for developing analytics solutions. Moreover, the holders of the Azure Data Engineer Associate certification are fluent in assisting the stakeholders to understand the data with exploration, building, and maintenance of data processing pipelines through various tools and methods. Apart from that, the individuals with this accreditation prove that they are able to expertly ensure business requirements that are efficient, performing, organized and authentic.

Tested Domains

If you have decided to take this Microsoft exam, you should know that the content of DP-203 is organized into 4 domains that are disclosed below:

  • Designing and implementing data storage (40-45%)

    The first domain is about data storage, its design, and implementation. The entrants will be asked to design a proper data storage structure and complete other relevant questions that relate to the Azure Data Lake solution design, designing for efficient query and pruning of data, as well as designing a strategy for distribution. Furthermore, the applicant must also have an understanding of various file types for both analytical queries and storage. Also, this section of the certification exam deals with partition tactics for files, performance, analytical workloads, and Azure Synapse Analytics. The candidate must be familiar with the concept of analytical stores, dimensional hierarchy, star schemas, incremental loading, analytical stores, and other elements essential for designing the serving layer. To get through this module, the entrant must also have an understanding of compression, portioning, sharding, distributions, data redundancy, and data archiving. Finally, the individual appearing for this test needs to be capable of implementing logical data structure along with the serving layer.

  • Designing and developing data processing (25-30%)

    The second section deals with the ingestion and transformation of data. So, this includes the transformation of data through Azure Synapse Pipelines, Data Factory, Transact-SQL, Apache Spark, and Stream Analytics. In addition to that, the candidates will also be asked to cleanse, split, encode, and decode data along with transforming data by utilizing Scala and performing data exploratory tests. Furthermore, this portion is also concerned with designing and developing a solution for batch processing. This comprises the configuration of batch size, creating data pipelines, scaling resources, handling missing data, upserting data, and using Data Factory, Data Lake along with other batch processing solutions. Besides, the candidates would need to be capable of designing and developing a solution for stream processing. This means they have to have an understanding of Stream Analytics, Azure Databricks, and Azure Event Hubs in parallel with the necessary expertise in processing time-series data, handling interruptions, scaling resources, designing solutions for stream processing, and more. Finally, the applicant must be able to manage different pipelines and batches, including handling failed batch loads, performing version control implementation, validating batch loads, and more.

  • Designing and implementing data security (10-15%)

    The third domain focuses on data security, its design, and implementation. In other words, the entrant must be capable of designing data encryption, data auditing tactics, data retention procedures, data masking tactics, and should be able to work with Azure RBAC, and ACL. Moreover, the applicant must also have strong knowledge of data security and understand how to implement it. This means the exam also tests one’s ability to encrypt data during different phases, as well as implement Azure RBAC, data retention procedures, data auditing tactics, secure endpoint, and resource tokens.

  • Monitoring and optimizing data storage and processing (10-15%)

    The final section of this Microsoft exam validates the individuals’ skill set in monitoring and optimizing data storage along with data processing. This includes the implementation of logging, configuration of monitoring services, measuring query performance, interpretation of Azure Monitor logs, and more. The candidates will also be asked to perform optimization and troubleshooting of data storage and data processing. For this, they need to be able to work with small files, UDFs, handling skew in data, spark job, data pipeline, and indexers along with various other components.

Career opportunities

The Microsoft DP-203: Data Engineering on Microsoft Azure certification (beta) exam is for those who have expertise in working with structured and unstructured data and building analytical solutions. Earning its related Microsoft accreditation would help you to land a job as Azure Data Engineer with an annual salary of up to $93k according to the information from the Payscale.com website. And this is not the limit, because depending on your skill level, including knowledge of SQL, Python, ETL, you can continue to climb the career ladder and apply for positions such as Senior Data Engineer, Lead Software Engineer, and Data Scientist.

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