2025 DP-203: EFFICIENT DATA ENGINEERING ON MICROSOFT AZURE RELIABLE EXAM TOPICS

2025 DP-203: Efficient Data Engineering on Microsoft Azure Reliable Exam Topics

2025 DP-203: Efficient Data Engineering on Microsoft Azure Reliable Exam Topics

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Tags: DP-203 Reliable Exam Topics, DP-203 Valid Study Guide, DP-203 Valid Examcollection, DP-203 Free Dumps, DP-203 Reliable Exam Simulator

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Microsoft DP-203 exam is a challenging exam that requires in-depth knowledge of data engineering on the Azure platform. Candidates are expected to have a solid understanding of data engineering concepts, including data modeling, data ingestion, data processing, and data analysis. They should also be familiar with Azure data services, including Azure SQL Database, Azure SQL Managed Instance, Azure HDInsight, and Azure Data Lake Analytics.

Microsoft DP-203 certification exam is ideal for data engineers, data architects, and data professionals who want to expand their skill set and enhance their career prospects. Data Engineering on Microsoft Azure certification is also suitable for IT professionals who want to transition into the field of data engineering on Azure. DP-203 Exam is intended for candidates who have a solid understanding of data concepts and have experience working with data solutions on Azure.

>> DP-203 Reliable Exam Topics <<

DP-203 Reliable Exam Topics Exam Pass at Your First Attempt | DP-203: Data Engineering on Microsoft Azure

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Microsoft DP-203 (Data Engineering on Microsoft Azure) Certification Exam is designed to test an individual's knowledge and skills in data engineering using Microsoft Azure. Data Engineering on Microsoft Azure certification is ideal for individuals who work with data and have experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, and Azure Stream Analytics. DP-203 Exam is intended to validate the candidate's ability to design, implement, and maintain data processing solutions using Microsoft's cloud platform.

Microsoft Data Engineering on Microsoft Azure Sample Questions (Q329-Q334):

NEW QUESTION # 329
You are building an Azure Stream Analytics job to retrieve game data.
You need to ensure that the job returns the highest scoring record for each five-minute time interval of each game.
How should you complete the Stream Analytics query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Box 1: TopOne OVER(PARTITION BY Game ORDER BY Score Desc)
TopOne returns the top-rank record, where rank defines the ranking position of the event in the window according to the specified ordering. Ordering/ranking is based on event columns and can be specified in ORDER BY clause.
Box 2: Hopping(minute,5)
Hopping window functions hop forward in time by a fixed period. It may be easy to think of them as Tumbling windows that can overlap and be emitted more often than the window size. Events can belong to more than one Hopping window result set. To make a Hopping window the same as a Tumbling window, specify the hop size to be the same as the window size.
A picture containing timeline Description automatically generated

Reference:
https://docs.microsoft.com/en-us/stream-analytics-query/topone-azure-stream-analytics
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions


NEW QUESTION # 330
You are deploying a lake database by using an Azure Synapse database template.
You need to add additional tables to the database. The solution must use the same grouping method as the template tables.
'Which grouping method should you use?

  • A. business area
  • B. facts and dimensions
  • C. size
  • D. partition style

Answer: A

Explanation:
* Business area: This is how the Azure Synapse database templates group tables by default. Each template consists of one or more enterprise templates that contain tables grouped by business areas. For example, the Retail template has business areas such as Customer, Product, Sales, and Store123. Using the same grouping method as the template tables can help you maintain consistency and compatibility with the industry-specific data model.
https://techcommunity.microsoft.com/t5/azure-synapse-analytics-blog/database-templates-in-azure-synapse-anal


NEW QUESTION # 331
You need to design an analytical storage solution for the transactional data. The solution must meet the sales transaction dataset requirements.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: Round-robin
Round-robin tables are useful for improving loading speed.
Scenario: Partition data that contains sales transaction records. Partitions must be designed to provide efficient loads by month.
Box 2: Hash
Hash-distributed tables improve query performance on large fact tables.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables- distribute


NEW QUESTION # 332
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are designing an Azure Stream Analytics solution that will analyze Twitter data.
You need to count the tweets in each 10-second window. The solution must ensure that each tweet is counted only once.
Solution: You use a tumbling window, and you set the window size to 10 seconds.
Does this meet the goal?

  • A. No
  • B. Yes

Answer: B

Explanation:
Explanation
Tumbling windows are a series of fixed-sized, non-overlapping and contiguous time intervals. The following diagram illustrates a stream with a series of events and how they are mapped into 10-second tumbling windows.

Reference:
https://docs.microsoft.com/en-us/stream-analytics-query/tumbling-window-azure-stream-analytics


NEW QUESTION # 333
You are responsible for providing access to an Azure Data Lake Storage Gen2 account.
Your user account has contributor access to the storage account, and you have the application ID and access key.
You plan to use PolyBase to load data into an enterprise data warehouse in Azure Synapse Analytics.
You need to configure PolyBase to connect the data warehouse to storage account.
Which three components should you create in sequence? To answer, move the appropriate components from the list of components to the answer area and arrange them in the correct order.

Answer:

Explanation:

1 - a database scoped credential
2 - an external data source
3 - an external file format


NEW QUESTION # 334
......

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