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Microsoft DP-203 Exam Questions
- Topic 1: Design and implement data storage: In this exam section, the candidates are tested for implementing a parity strategy, designing and implementing the data exploration layer, and understanding new or updated data lineage to Microsoft Purview.
- Topic 2: Develop data processing: This section of the exam covers topics such as ingesting and transforming data, developing a batch processing solution, developing a stream processing solution, and managing batches and pipelines.
- Topic 3: Secure, monitor, and optimize data storage and data processing: This section of the exam covers how to implement data security, monitor data storage and data processing, and enhance and troubleshoot data storage and data processing such as failed spark jobs.
Free Microsoft DP-203 Exam Actual Questions
Note: Premium Questions for DP-203 were last updated On Jul. 23, 2024 (see below)
You have an Azure Data Factory pipeline named pipeline1 that includes a Copy activity named Copy1. Copy1 has the following configurations:
* The source of Copy1 is a table in an on-premises Microsoft SQL Server instance that is accessed by using a linked service connected via a self-hosted integration runtime.
* The sink of Copy1 uses a table in an Azure SQL database that is accessed by using a linked service connected via an Azure integration runtime.
You need to maximize the amount of compute resources available to Copy1. The solution must minimize administrative effort.
What should you do?
You have two Azure Blob Storage accounts named account1 and account2?
You plan to create an Azure Data Factory pipeline that will use scheduled intervals to replicate newly created or modified blobs from account1 to account?
You need to recommend a solution to implement the pipeline. The solution must meet the following requirements:
* Ensure that the pipeline only copies blobs that were created of modified since the most recent replication event.
* Minimize the effort to create the pipeline.
What should you recommend?
You have an Azure Data Factory pipeline named pipeline1 that includes a Copy activity named Copy1. Copy1 has the following configurations:
* The source of Copy1 is a table in an on-premises Microsoft SQL Server instance that is accessed by using a linked service connected via a self-hosted integration runtime.
* The sink of Copy1 uses a table in an Azure SQL database that is accessed by using a linked service connected via an Azure integration runtime.
You need to maximize the amount of compute resources available to Copy1. The solution must minimize administrative effort.
What should you do?
You have an Azure Synapse Analytics dedicated SQL pool.
You plan to create a fact table named Table1 that will contain a clustered columnstore index.
You need to optimize data compression and query performance for Table1.
What is the minimum number of rows that Table1 should contain before you create partitions?
You have an Azure subscription that contains a Microsoft Purview account.
You need to search the Microsoft Purview Data Catalog to identify assets that have an assetType property of Table or View
Which query should you run?
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