PDF Version DemoAlong with the coming of the information age, the excellent IT skills are the primary criterion for selecting talent of enterprises. Microsoft Certification gives an IT a credential that is recognized in the IT industry. It can act as a passport to a well-rewarded job, smooth the path to promotion or higher earnings. Here, Microsoft certification DP-203 Korean exam (Data Engineering on Microsoft Azure (DP-203 Korean Version)) is a very important exam to help you get better progress and to test your IT skills.
How to successfully pass Microsoft DP-203 Korean certification exam? Don't worry. With DumpKiller, you will sail through your Microsoft DP-203 Korean exam.
DumpKiller is a website that provides the candidates with the excellent IT certification exam materials. The Microsoft certification training DP-203 Korean bootcamp on DumpKiller are on the basis for the real exam and are edited by our experienced IT experts. These dumps have a 99.9% of hit rate. So, we're sure it absolutely can help you pass Microsoft DP-203 Korean exam and get Microsoft certificate and you don't need to spend much time and energy on preparing for DP-203 Korean exam.
DumpKiller provides you with the most comprehensive and latest Microsoft exam materials which contain important knowledge point. And you just need to spend 20-30 hours to study these DP-203 Korean exam questions and answers from our DP-203 Korean dumps.
One year free update for all our customers. If you purchase DumpKiller Microsoft DP-203 Korean practice test materials, as long as DP-203 Korean questions updates, DumpKiller will immediately send the latest DP-203 Korean questions and answers to your mailbox, which guarantees that you can get the latest DP-203 Korean materials at any time. If you fail in the exam, please send the scanning copy of your DP-203 Korean examination report card provided by the Test Center to the Email address on our website. After confirming, we will give you FULL REFUND of your purchasing fees. We absolutely guarantee you interests.
Before you decide to buy Microsoft DP-203 Korean exam dumps on DumpKiller, you can download our free demo. In this way, you can know the reliability of DumpKiller.
No matter what level you are, when you prepare for Microsoft DP-203 Korean exam, we're sure DumpKiller is your best choice.
Don't hesitate. Come on and visit DumpKiller.com to know more information. Let us help you pass DP-203 Korean exam.
Easy and convenient way to buy: Just two steps to complete your purchase, we will send the DP-203 Korean braindump to your mailbox quickly, you only need to download e-mail attachments to get your products.
Microsoft DP-203 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Design and Implement Data Storage (40-45%) | |
| 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 | - 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 the serving layer | - 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 physical data storage structures | - implement compression - implement partitioning - implement sharding - implement different table geometries with Azure Synapse Analytics pools - implement data redundancy - implement distributions - implement data archiving |
| Implement logical data structures | - 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 |
| Implement the serving layer | - deliver data in a relational star schema - deliver data in Parquet files - maintain metadata - implement a dimensional hierarchy |
Design and Develop Data Processing (25-30%) | |
| 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 |
| Design and develop a batch processing solution | - 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/Python 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 |
| Design and develop a stream processing solution | - 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 |
| Manage batches and pipelines | - 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 and Implement Data Security (10-15%) | |
| 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 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 and Optimize Data Storage and Data Processing (10-15%) | |
| 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) |
| Optimize and troubleshoot data storage and data processing | - 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 |
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-203
All the details of Microsoft DP-203 Exam format?
Passing score: 75%
Exam Duration: 130 minutes
Exam Length: 40-60 question
Exam Format: multiple-choice
Language: English
Why is it that important to be certified in the Microsoft DP-203 Exam?
The Microsoft Data Platform is evolving rapidly and expanding with Azure. The certification exams help you acquire the latest technologies and share your knowledge with others in the field. Getting these certifications has become a must-have badge as it creates your credibility in front of potential employers and clients. The exam covers topics like SQL Server 2014, Azure SQL Database, Azure SQL Data Warehouse, Analysis Services, and Reporting Services. The DP-203 exam is an entry-level exam that tests the candidates on their ability to choose the right tools and techniques to meet business requirements. Microsoft DP-203 Dumps is designed to help students gain hands-on experience and develop skills to pass the DP-203 exam and earn the Microsoft Data Platform Certification. The DP-203 exam will be available in English only, at Prometric test centers globally. Before appearing for the exam make sure you prepare well by checking out our study guide and practice questions based on real-time scenarios to gain good marks for this exam.
0 Customer Reviews
Quality and ValueDumpKiller Practice Exams are written to the highest standards of technical accuracy, using only certified subject matter experts and published authors for development - no all study materials.
Tested and ApprovedWe are committed to the process of vendor and third party approvals. We believe professionals and executives alike deserve the confidence of quality coverage these authorizations provide.
Easy to PassIf you prepare for the exams using our DumpKiller testing engine, It is easy to succeed for all certifications in the first attempt. You don't have to deal with all dumps or any free torrent / rapidshare all stuff.
Try Before BuyDumpKiller offers free demo of each product. You can check out the interface, question quality and usability of our practice exams before you decide to buy.