Pass Your Microsoft Certified: Azure Data Engineer Associate Certification Easy!

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Microsoft has become one of the biggest names in the certification market and people use its certificates to grow in their careers. If you want to help build and maintain compliant and secure data processing pipelines with the use of various techniques and tools and help the stakeholders understand data, you should aim for the Microsoft Certified: Azure Data Engineer Associate certification. This is a sought-after option that you will obtain after meeting certain requirements offered by the vendor.

Certification Prerequisites

Generally speaking, there are no official prerequisites that a potential candidate should fulfill before going for this path. Although, it is recommended that the applicants gather sufficient experience and have a solid knowledge of data processing languages (Scala, AQL, or Python). Besides that, they need to understand the data architecture patterns and parallel processing. If you know how to integrate, consolidate, and transform data from various unstructured and structured data systems into the structures, which are suitable for building analytics solutions, you will have a huge advantage over other interested individuals.

To obtain this associate-level certificate, you need to pass Microsoft DP-200 along with Microsoft DP-201 or go for the new version, which is known as Microsoft DP-203. This new test is now in the beta version, so it will be the only option after the two previous exams retire on June 30, 2021.

Exam Overview

If you are planning to earn this associate-level certificate, you will need to know how to deal with the Microsoft DP-203 exam. There are few important details that you need to know about this test. For starters, it is 180 minutes long and consists of 40-60 questions. This means that the learners will have to answer the questions as quickly as possible if they want to get the passing score. They should know that 700 points are the minimum passing score that they can achieve if they want to succeed. Also, please note that the exam is available in English and costs $165.

To pass this certification exam with flying colors, you must understand its topics and try to master them in order to be sure in your result. Thus, the domains covered in the Microsoft DP-203 test are the following:

Design & Implement Data Storage (40-45%)

• Designing a data storage structure: The candidates must be able to design an Azure Data Lake solution, recommend file types for storage and analytical queries, design for efficient querying as well as for data pruning. They also need to possess the expertise in designing a folder structure that represents the levels of data transformation, distribution strategy, and data archiving solution;
• Designing a partitioning strategy: The test takers should have competence in a partitioning strategy designing for files, analytical workloads, efficiency or performance, and Azure Synapse Analytics. It is also important to have the skills in identifying when the partitioning is needed in Azure Data Lake Storage Gen2;
• Designing the serving layer: This objective requires the individuals’ ability to design star schemas, slowly changing dimensions as well as a dimensional hierarchy. It also covers their skills in designing for incremental loading, analytical stories, and metastores in Azure Synapse Analytics and Azure Detabricks;
• Implementing physical data storage structures: This module will measure your competence in compression, partitioning, and sharding implementation. It will also evaluate your skills in data redundancy and archiving implementation and different table geometries with Azure Synapse Analytics pools implementation;
• Implementing logical data structures: The applicants should be able to build a temporal data solution, slowly changing dimension, and logical folder structure. This domain also requires their skills in implementing folder and file structures for efficient querying and data pruning;
• Implementing the serving layer: This area requires that the interested students develop competence in delivering data in a relational star schema and Parquet files, maintaining metadata, and implementation a dimensional hierarchy.

Design & Develop Data Processing (25-30%)

• Transforming data: The examinees must be able to show their knowledge of data transformation by using Apache Spark, Transact-SQL, Scala, Factory, Azure Synapse Pipelines, and Stream Analytics. It is also required that they have competence in data encoding and decoding, configuration of error handling for transformation, and performing data exploratory analysis;
• Designing and developing a batch processing solution: This domain requires that the test takers have skills in different spheres, such as the creation of data pipelines, scaling resources, batch size and retention configuration, regression to a previous state, etc.;
• Designing and developing a stream processing solution: The candidates should have the expertise in the development of a stream processing solution with the use of Stream Analytics, Azure Event Hubs, and Azure Databricks as well as the creation of tests for data pipelines;
• Managing batches and pipelines: This subdomain will measure the individuals’ skills in batch loads validation, scheduling of data pipelines in Data Factory/Synapse Pipelines and implementation of version control for pipeline artifacts, and more.

Design & Implement Data Security (10-15%)

• Designing security for data policies and standards: This subject area covers your skills in designing a data auditing strategy, data masking strategy, and data retention policy. It also covers your ability to design to purge data based on the business requirements, design Azure RBAC and POSIX-like Access Control List for Data Lake Storage Gen2, and design row-level and column-level security;
• Implementing data security: In the framework of this subtopic, the applicants will be evaluated based on their skills in data masking, secure endpoints (private and public), Azure RBAC, and resource tokens in Azure Databricks implementation.

Monitor & Optimize Data Storage and Data Processing (10-15%)

• Monitoring data storage and data processing: The learners need to have competence in monitoring data pipeline performance and cluster performance, understanding of custom logging options, interpretation of Azure Monitor logs and metrics. This topic also requires their ability to measure query performance, schedule and monitor pipeline tests, implement logging used by Azure Monitor, and configure monitoring services;
• Optimizing and troubleshooting data storage and data processing: This module will measure your competence in user-defined functions (UDFs) rewriting, optimization of pipelines for analytical or transactional purposes, and descriptive versus analytical workloads. It is also important to know how to compact small files, tune queries by using indexers and cache, and troubleshoot a failed pipeline run and failed spark job.

Preparation Steps for Certification Exam

The next thing that you have to understand about the certification exam is that it can be difficult, but only if you don’t study for it properly. Therefore, you need to prepare well, and these simple steps can help you with the process:

• Step 1: The first thing that you need to do is look for the official study materials, and the only place you can find them is on the Microsoft website. You should also get your hands on the official study guide for the exam because it will make your life much simpler. This book holds a lot of useful information that is proved to be quite invaluable.
• Step 2: The candidates should also use learning paths to prepare for the test. They will divide the topics into manageable chunks, making it easier for you to cover everything. They cover the details of data storage in Azure, data integration at scale with Azure Synapse Pipeline or Azure Data Factory, and even more.
• Step 3: Also, the learners should try to take loads of practice tests because each of them will make their training better. With these materials, you will also get a much better sense of the questions that will be part of the actual exam. If you start to get good scores in the practice rounds, you will also receive high marks in the final round.

Career Opportunities After Getting Certified

The companies from around the world prefer the certified specialists over the non-certified ones. So, if you can obtain the Microsoft Certified: Azure Data Engineer Associate certificate, you will receive a massive boost that will allow you to land much better jobs and get higher salaries. Generally speaking, with this certification under the belt, they can become an Azure Data Engineer, a Software Engineer, or a BI Data Engineer. They can also earn over $120,000 per year.

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