Microsoft DP-203日本語 Value Pack (Frequently Bought Together)

If you purchase Microsoft DP-203日本語 Value Pack, you will also own the free online test engine.
PDF Version + PC Test Engine + Online Test Engine
Value Pack Total: $139.98 $89.99

Compiled by professional experts

We invited a group of professional experts to preside over the contents of the test in so many years. They are so familiar with the test that can help exam candidates effectively pass the exam without any difficulty. To clear your confusion about the difficult points, they give special explanations under the necessary questions. All knowledge of the Microsoft Data Engineering on Microsoft Azure (DP-203日本語版) exam study torrent is unequivocal with concise layout for your convenience. Their wariness and profession are far more than you can imagine. And they are practiced experts dedicated to Microsoft Data Engineering on Microsoft Azure (DP-203日本語版) valid exam dumps in this area over 10 years who can totally be trusted.

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

Considerate services

It is said that customers are vulnerable group in the market, which is a definitely false theory in our company. Our Data Engineering on Microsoft Azure (DP-203日本語版) latest pdf torrent speaks louder than words as our forceful evidence. We prove this by proving aftersales service 24/7 for you all year round for your convenience. If you have any other questions about our Data Engineering on Microsoft Azure (DP-203日本語版) actual exam torrent, contact with us and we will solve them for you as soon as possible, because they are good natured employee with great manner and attitude waiting to help. You can absolutely pass it with you indomitable determination and our Microsoft Data Engineering on Microsoft Azure (DP-203日本語版) latest pdf torrent.

Leading products among peers

As the leading company providing the most accurate and effective Data Engineering on Microsoft Azure (DP-203日本語版) valid cram, we are successful partially because the precision of our DP-203日本語 : Data Engineering on Microsoft Azure (DP-203日本語版) exam study torrent, we also hold sincere principle to run our company such as customer first! So our reputation derives from our profession. We build close relations with former customers who often give us positive feedbacks about Data Engineering on Microsoft Azure (DP-203日本語版) latest pdf torrent. They all spent 20 to 30 hours on average to practice the test. We believe you can be one of them with your diligent practice and our excellent Data Engineering on Microsoft Azure (DP-203日本語版) valid exam dumps. The success needs perspiration and smart way. The DP-203日本語 study valid torrents are no doubt the latter. With our dumps, your job aim will finally come to fruition and live your life to the fullest. Your dream of doubling the salary, getting promotion and is no longer a dream and once you remember the questions and answers of our Data Engineering on Microsoft Azure (DP-203日本語版) valid free demo, passing test will be easy. We deem you can realize your dreams absolutely.

Instant Download: Our system will send you the Data Engineering on Microsoft Azure (DP-203日本語版) braindumps files you purchase in mailbox in a minute after payment. (If not received within 12 hours, please contact us. Note: don't forget to check your spam.)

Dear customers, we are all facing so many choices every day. The daily choices such as meals, clothes and others surrounded around us, and we often get confused about which one among the various supplies are the best. Being besieged by so many similar dumps, your choices about the more efficient and effective one is of great importance. There are many of their products are still in budding level, but we have won great reputation after the development of ten years for our DP-203日本語 : Data Engineering on Microsoft Azure (DP-203日本語版) valid exam dumps. So our Microsoft DP-203日本語 study valid torrents are absolutely the one you have been looking for. Now let us take a look of the features together

Why Choose Us

Quality and Value

TorrentValid 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 Approved

We 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 Pass

If you prepare for the exams using our TorrentValid 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 Buy

TorrentValid 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.

Microsoft DP-203日本語 Q&A - in .pdf

Microsoft DP-203日本語 Q&A - Testing Engine

Microsoft DP-203日本語 Value Pack (Frequently Bought Together)

About Microsoft Data Engineering on Microsoft Azure (DP-203日本語版) - DP-203日本語 Exam

How to schedule for Microsoft DP-203 Exam

Compiled by professional experts

Microsoft DP-203 Exam Syllabus Topics:

Design and Implement Data Storage (40-45%)

Design and Develop Data Processing (25-30%)

Design and Implement Data Security (10-15%)

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

Considerate services

Skills measured

Leading products among peers

Contact US:

Related Exam

Related Certifications

What Clients Say About Us

LEAVE A REPLY

Why Choose Us

Quality and Value

Tested and Approved

Easy to Pass

Try Before Buy

Download Free Microsoft DP-203日本語 Demo

Contact Us