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Microsoft DP-203 Exam

Certification Provider: Microsoft
Exam Name: Data Engineering on Microsoft Azure
Number of questions in our database: 316
Exam Version: Apr. 13, 2024
DP-203 Exam Official Topics:
  • Topic 1: Monitor and Optimize Data Storage and Data Processing/ Implement physical data storage structures
  • Topic 2: Design metastores in Azure Synapse Analytics and Azure Databricks/ Transform data by using Azure Synapse Pipelines
  • Topic 3: Implement different table geometries with Azure Synapse Analytics pools/ Design data encryption for data at rest and in transit
  • Topic 4: Identify when partitioning is needed in Azure Data Lake Storage Gen2/ Design and develop slowly changing dimensions
  • Topic 5: Design a folder structure that represents the levels of data transformation/ Optimize and troubleshoot data storage and data processing
  • Topic 6: Implement file and folder structures for efficient querying and data pruning/ Design a data storage structure
  • Topic 7: Deliver data in a relational star schema/ Design slowly changing dimensions
  • Topic 8: Configure error handling for the transformation/ Design and Develop Data Processing
  • Topic 9: Design and develop a batch processing solution/ Implement logical data structures
  • Topic 10: Optimize pipelines for analytical or transactional purposes/ Transform data by using Stream Analytics
  • Topic 11: Design and develop a stream processing solution/ Implement a dimensional hierarchy
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Free Microsoft DP-203 Exam Actual Questions

The questions for DP-203 were last updated On Apr. 13, 2024

Question #1

You have an Azure subscription that contains an Azure Synapse Analytics workspace and a user named Used.

You need to ensure that User1 can review the Azure Synapse Analytics database templates from the gallery. The solution must follow the principle of least privilege.

Which role should you assign to User1?

Reveal Solution Hide Solution
Correct Answer: A

Question #2

You have an Azure Synapse Analytics dedicated SQL pod.

You need to create a pipeline that will execute a stored procedure in the dedicated SQL pool and use the returned result set as the input (or a downstream activity. The solution must minimize development effort.

Which Type of activity should you use in the pipeline?

Reveal Solution Hide Solution
Correct Answer: D

Question #3

You have an Azure subscription that contains an Azure Synapse Analytics workspace named ws1 and an Azure Cosmos D6 database account named Cosmos1 Costmos1 contains a container named container 1 and ws1 contains a serverless1 SQL pool.

you need to ensure that you can Query the data in container by using the serverless1 SQL pool.

Which three actions should you perform? Each correct answer presents part of the solution

NOTE: Each correct selection is worth one point.

Reveal Solution Hide Solution
Correct Answer: A, C, D

Question #4

You have an Azure Data Factory pipeline named pipeline1 that is invoked by a tumbling window trigger named Trigger1. Trigger1 has a recurrence of 60 minutes.

You need to ensure that pipeline1 will execute only if the previous execution completes successfully.

How should you configure the self-dependency for Trigger1?

Reveal Solution Hide Solution
Correct Answer: D

Tumbling window self-dependency properties

In scenarios where the trigger shouldn't proceed to the next window until the preceding window is successfully completed, build a self-dependency. A self-dependency trigger that's dependent on the success of earlier runs of itself within the preceding hour will have the properties indicated in the following code.

Example code:

'name': 'DemoSelfDependency',

'properties': {

'runtimeState': 'Started',

'pipeline': {

'pipelineReference': {

'referenceName': 'Demo',

'type': 'PipelineReference'

}

},

'type': 'TumblingWindowTrigger',

'typeProperties': {

'frequency': 'Hour',

'interval': 1,

'startTime': '2018-10-04T00:00:00Z',

'delay': '00:01:00',

'maxConcurrency': 50,

'retryPolicy': {

'intervalInSeconds': 30

},

'dependsOn': [

{

'type': 'SelfDependencyTumblingWindowTriggerReference',

'size': '01:00:00',

'offset': '-01:00:00'

}

]

}

}

}


Question #5

You have an Azure subscription that contains an Azure Data Factory data pipeline named Pipeline1, a Log Analytics workspace named LA1, and a storage account named account1.

You need to retain pipeline-run data for 90 days. The solution must meet the following requirements:

* The pipeline-run data must be removed automatically after 90 days.

* Ongoing costs must be minimized.

Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

Reveal Solution Hide Solution
Correct Answer: A, B


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