100% PASS QUIZ 2025 MICROSOFT NEWEST DP-203: CUSTOMIZABLE DATA ENGINEERING ON MICROSOFT AZURE EXAM MODE

100% Pass Quiz 2025 Microsoft Newest DP-203: Customizable Data Engineering on Microsoft Azure Exam Mode

100% Pass Quiz 2025 Microsoft Newest DP-203: Customizable Data Engineering on Microsoft Azure Exam Mode

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Tags: Customizable DP-203 Exam Mode, Test DP-203 Guide Online, Valid Exam DP-203 Registration, New DP-203 Exam Price, Passing DP-203 Score

All these three Microsoft DP-203 exam questions formats are easy to use and compatible with all devices, operating systems, and browsers. You can install and run these three DP-203 exam practice test questions easily and start Microsoft DP-203 Exam Preparation without wasting further time. The DP-203 exam practice questions will ace your Data Engineering on Microsoft Azure DP-203 exam preparation and prepare you for the final DP-203 exam.

Microsoft DP-203: Data Engineering on Microsoft Azure is an exam that validates the skills and knowledge of professionals in data engineering on Azure. Data Engineering on Microsoft Azure certification exam is designed specifically for data engineers who want to demonstrate their expertise in designing and implementing data solutions on Azure. DP-203 exam covers various topics such as data storage, data processing, data transformation, and data integration using Azure services.

Microsoft DP-203 (Data Engineering on Microsoft Azure) Certification Exam is designed to assess the skills of data engineers who work with data on the Microsoft Azure platform. Data Engineering on Microsoft Azure certification exam is designed to evaluate a candidate's technical expertise in designing and implementing data storage solutions, managing and monitoring data processing, and developing and deploying data processing solutions on Azure.

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Microsoft Data Engineering on Microsoft Azure Sample Questions (Q266-Q271):

NEW QUESTION # 266
You have a SQL pool in Azure Synapse.
You plan to load data from Azure Blob storage to a staging table. Approximately 1 million rows of data will be loaded daily. The table will be truncated before each daily load.
You need to create the staging table. The solution must minimize how long it takes to load the data to the staging table.
How should you configure the table? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Graphical user interface, application, table Description automatically generated

Box 1: Hash
Hash-distributed tables improve query performance on large fact tables. They can have very large numbers of rows and still achieve high performance.
Box 2: Clustered columnstore
When creating partitions on clustered columnstore tables, it is important to consider how many rows belong to each partition. For optimal compression and performance of clustered columnstore tables, a minimum of 1 million rows per distribution and partition is needed.
Box 3: Date
Table partitions enable you to divide your data into smaller groups of data. In most cases, table partitions are created on a date column.
Partition switching can be used to quickly remove or replace a section of a table.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-partition
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-distribu


NEW QUESTION # 267
You are designing an Azure Data Lake Storage Gen2 container to store data for the human resources (HR) department and the operations department at your company. You have the following data access requirements:
* After initial processing, the HR department data will be retained for seven years.
* The operations department data will be accessed frequently for the first six months, and then accessed once per month.
You need to design a data retention solution to meet the access requirements. The solution must minimize storage costs.

Answer:

Explanation:
See the answer in explanation.
Explanation
Answer is below


NEW QUESTION # 268
You implement an enterprise data warehouse in Azure Synapse Analytics.
You have a large fact table that is 10 terabytes (TB) in size.
Incoming queries use the primary key SaleKey column to retrieve data as displayed in the following table:

You need to distribute the large fact table across multiple nodes to optimize performance of the table.
Which technology should you use?

  • A. hash distributed table with clustered index
  • B. round robin distributed table with clustered Columnstore index
  • C. round robin distributed table with clustered index
  • D. heap table with distribution replicate
  • E. hash distributed table with clustered Columnstore index

Answer: E

Explanation:
Hash-distributed tables improve query performance on large fact tables.
Columnstore indexes can achieve up to 100x better performance on analytics and data warehousing workloads and up to 10x better data compression than traditional rowstore indexes.
Reference:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-distribute
https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-query-performance


NEW QUESTION # 269
You have an Azure Data Factory instance named ADF1 and two Azure Synapse Analytics workspaces named WS1 and WS2.
ADF1 contains the following pipelines:
P1: Uses a copy activity to copy data from a nonpartitioned table in a dedicated SQL pool of WS1 to an Azure Data Lake Storage Gen2 account P2: Uses a copy activity to copy data from text-delimited files in an Azure Data Lake Storage Gen2 account to a nonpartitioned table in a dedicated SQL pool of WS2 You need to configure P1 and P2 to maximize parallelism and performance.
Which dataset settings should you configure for the copy activity if each pipeline? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/load-data-overview


NEW QUESTION # 270
You have an Azure subscription that contains the following resources:
* An Azure Active Directory (Azure AD) tenant that contains a security group named Group1
* An Azure Synapse Analytics SQL pool named Pool1
You need to control the access of Group1 to specific columns and rows in a table in Pool1.
Which Transact-SQL commands should you use? To answer, select the appropriate options in the answer area.

Answer:

Explanation:

Explanation:
Text Description automatically generated

Box 1: GRANT
You can implement column-level security with the GRANT T-SQL statement.
Box 2: CREATE SECURITY POLICY
Implement Row Level Security by using the CREATE SECURITY POLICY Transact-SQL statement Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/column-level-security


NEW QUESTION # 271
......

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