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Microsoft DP-203 (Data Engineering on Microsoft Azure) Exam is designed to test the skills and knowledge of professionals who work with data engineering on the Azure platform. DP-203 exam is part of the Microsoft Certified: Azure Data Engineer Associate certification and is intended for individuals who have experience building and maintaining data pipelines, implementing data storage solutions, and performing data processing using Azure services.
Microsoft DP-203 Certification Exam is a great way for data engineers to demonstrate their expertise in designing and implementing data solutions on Azure. It is also a great way for professionals to enhance their career opportunities and increase their earning potential. With this certification, data engineers can show their proficiency in creating data pipelines, managing data storage, and processing data on Azure.
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Microsoft DP-203 exam is a comprehensive exam that requires candidates to have hands-on experience in implementing data engineering solutions on the Azure platform. DP-203 exam is designed for individuals who have a good understanding of Azure services and are familiar with data engineering concepts. DP-203 Exam is intended for data engineers, data architects, and developers who specialize in building data pipelines, data warehousing, and data analytics solutions on the Azure platform.
NEW QUESTION # 176
You have a SQL pool in Azure Synapse.
A user reports that queries against the pool take longer than expected to complete.
You need to add monitoring to the underlying storage to help diagnose the issue.
Which two metrics should you monitor? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,E
Explanation:
A: Cache used is the sum of all bytes in the local SSD cache across all nodes and cache capacity is the sum of the storage capacity of the local SSD cache across all nodes.
E: Cache hits is the sum of all columnstore segments hits in the local SSD cache and cache miss is the columnstore segments misses in the local SSD cache summed across all nodes Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-concept-resource-utilization-query-activity
NEW QUESTION # 177
You are implementing a star schema in an Azure Synapse Analytics dedicated SQL pool.
You plan to create a table named DimProduct.
DimProduct must be a Type 3 slowly changing dimension (SCO) table that meets the following requirements:
* The values in two columns named ProductKey and ProductSourceID will remain the same.
* The values in three columns named ProductName, ProductDescription, and Color can change.
You need to add additional columns to complete the following table definition.






Answer: B,D,F
NEW QUESTION # 178
You need to create a partitioned table in an Azure Synapse Analytics dedicated SQL pool.
How should you complete the Transact-SQL statement? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-table-azure-sql-data-warehouse?
NEW QUESTION # 179
You are building an Azure Stream Analytics job that queries reference data from a product catalog file. The file is updated daily.
The reference data input details for the file are shown in the Input exhibit. (Click the Input tab.)
The storage account container view is shown in the Refdata exhibit. (Click the Refdata tab.)
You need to configure the Stream Analytics job to pick up the new reference data.
What should you configure? 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/stream-analytics/stream-analytics-use-reference-data
NEW QUESTION # 180
You use Azure Data Factory to prepare data to be queried by Azure Synapse Analytics serverless SQL pools.
Files are initially ingested into an Azure Data Lake Storage Gen2 account as 10 small JSON files. Each file contains the same data attributes and data from a subsidiary of your company.
You need to move the files to a different folder and transform the data to meet the following requirements:
Provide the fastest possible query times.
Automatically infer the schema from the underlying files.
How should you configure the Data Factory copy activity? 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/storage/blobs/data-lake-storage-introduction
https://docs.microsoft.com/en-us/azure/data-factory/format-parquet
NEW QUESTION # 181
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Exam DP-203 Exercise: https://www.pdfbraindumps.com/DP-203_valid-braindumps.html