PASS GUARANTEED QUIZ 2025 ACCURATE MICROSOFT DP-203 LEAD2PASS REVIEW

Pass Guaranteed Quiz 2025 Accurate Microsoft DP-203 Lead2pass Review

Pass Guaranteed Quiz 2025 Accurate Microsoft DP-203 Lead2pass Review

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To prepare for the DP-203 exam, professionals should have a strong understanding of data engineering concepts and experience with Microsoft Azure. Microsoft offers a variety of resources to help professionals prepare for the exam, including study guides, training courses, and practice exams. Additionally, professionals can gain hands-on experience by working on data engineering projects on Microsoft Azure.

Microsoft DP-203 (Data Engineering on Microsoft Azure) certification exam is an industry-recognized credential that validates a candidate's knowledge and skills in the field of data engineering on Azure. DP-203 Exam is designed for professionals who want to demonstrate their expertise in designing and implementing data solutions on the Azure platform. DP-203 exam tests the candidate's ability to work with various data technologies such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Synapse Analytics.

Microsoft DP-203 certification exam is an important credential for data engineers who work with Azure. It validates their skills and knowledge in a highly sought-after area of expertise and can help them advance their careers in this field.

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Microsoft Data Engineering on Microsoft Azure Sample Questions (Q296-Q301):

NEW QUESTION # 296
You have an Azure subscription that contains an Azure Synapse Analytics dedicated SQL pool named Pool1 and an Azure Data Lake Storage account named storage1. Storage1 requires secure transfers.
You need to create an external data source in Pool1 that will be used to read .orc files in storage1.
How should you complete the code? 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/sql/t-sql/statements/create-external-data-source-transact-sql?view=azure-sqldw-latest&preserve-view=true&tabs=dedicated


NEW QUESTION # 297
You have an Azure Synapse Analytics dedicated SQL pool that contains a table named Sales.Orders.
Sales.Orders contains a column named SalesRep.
You plan to implement row-level security (RLS) for Sales.Orders.
You need to create the security policy that will be used to implement RLS. The solution must ensure that sales representatives only see rows for which the value of the SalesRep column matches their username.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation


NEW QUESTION # 298
You use Azure Data Factory to create data pipelines.
You are evaluating whether to integrate Data Factory and GitHub for source and version control What are two advantages of the integration? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

  • A. additional triggers
  • B. the ability to save without publishing
  • C. lower pipeline execution times
  • D. the ability to save pipelines that have validation issues

Answer: B,D


NEW QUESTION # 299
You have an Azure Data Lake Storage Gen2 account that contains a JSON file for customers. The file contains two attributes named FirstName and LastName.
You need to copy the data from the JSON file to an Azure Synapse Analytics table by using Azure Databricks.
A new column must be created that concatenates the FirstName and LastName values.
You create the following components:
A destination table in Azure Synapse
An Azure Blob storage container
A service principal
In which order should you perform the actions? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation
Table Description automatically generated

Step 1: Mount the Data Lake Storage onto DBFS
Begin with creating a file system in the Azure Data Lake Storage Gen2 account.
Step 2: Read the file into a data frame.
You can load the json files as a data frame in Azure Databricks.
Step 3: Perform transformations on the data frame.
Step 4: Specify a temporary folder to stage the data
Specify a temporary folder to use while moving data between Azure Databricks and Azure Synapse.
Step 5: Write the results to a table in Azure Synapse.
You upload the transformed data frame into Azure Synapse. You use the Azure Synapse connector for Azure Databricks to directly upload a dataframe as a table in a Azure Synapse.
Reference:
https://docs.microsoft.com/en-us/azure/azure-databricks/databricks-extract-load-sql-data-warehouse


NEW QUESTION # 300
You have two Azure Storage accounts named Storage1 and Storage2. Each account holds one container and has the hierarchical namespace enabled. The system has files that contain data stored in the Apache Parquet format.
You need to copy folders and files from Storage1 to Storage2 by using a Data Factory copy activity. The solution must meet the following requirements:
No transformations must be performed.
The original folder structure must be retained.
Minimize time required to perform the copy activity.
How should you configure the 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/data-factory/format-parquet
https://docs.microsoft.com/en-us/azure/data-factory/connector-azure-data-lake-storage


NEW QUESTION # 301
......

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