PASS DP-203 EXAM WITH PASS-SURE DP-203 EXAM DUMPS PROVIDER BY PASS4SURES

Pass DP-203 Exam with Pass-Sure DP-203 Exam Dumps Provider by Pass4sures

Pass DP-203 Exam with Pass-Sure DP-203 Exam Dumps Provider by Pass4sures

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To pass the Microsoft DP-203 exam, candidates must have a solid understanding of data engineering concepts, Azure services, and how to integrate them to create effective data solutions. They must also be able to develop data pipelines, implement data storage solutions, and manage and monitor data processing activities. Data Engineering on Microsoft Azure certification not only validates the skills and knowledge of the candidate but also demonstrates their commitment to staying current with emerging technologies and industry standards. With the increasing demand for data engineers in the industry, the Microsoft DP-203 Certification can help individuals advance their careers and open up new job opportunities.

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This exam measures your ability to accomplish the following technical tasks: design and implement data storage; design and develop data processing; design and implement data security; and monitor and optimize data storage and data processing.

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To take the DP-203 exam, you should have a solid understanding of data processing technologies, data storage options, data security and compliance, and data integration and transformation techniques. You should also be familiar with Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Stream Analytics. By passing DP-203 Exam, you can prove your ability to work with Azure tools and technologies, and showcase your expertise in data engineering on the Microsoft Azure platform.

Microsoft Data Engineering on Microsoft Azure Sample Questions (Q131-Q136):

NEW QUESTION # 131
You have an Azure SQL database named DB1 and an Azure Data Factory data pipeline named pipeline.
From Data Factory, you configure a linked service to DB1.
In DB1, you create a stored procedure named SP1. SP1 returns a single row of data that has four columns.
You need to add an activity to pipeline to execute SP1. The solution must ensure that the values in the columns are stored as pipeline variables.
Which two types of activities can you use to execute SP1? (Refer to Data Engineering on Microsoft Azure documents or guide for Answers/Explanation available at Microsoft.com)

  • A. Script
  • B. Lookup
  • C. Copy
  • D. Stored Procedure

Answer: B,D

Explanation:
the two types of activities that you can use to execute SP1 are Stored Procedure and Lookup.
A Stored Procedure activity executes a stored procedure on an Azure SQL Database or Azure Synapse Analytics or SQL Server1. You can specify the stored procedure name and parameters in the activity settings1.
A Lookup activity retrieves a dataset from any data source that returns a single row of data with four columns2
. You can use a query to execute a stored procedure as the source of the Lookup activity2. You can then store the values in the columns as pipeline variables by using expressions2.
https://learn.microsoft.com/en-us/azure/data-factory/transform-data-using-stored-procedure


NEW QUESTION # 132
You have an Azure Synapse Analytics workspace.
You plan to deploy a lake database by using a database template in Azure Synapse.
Which two elements ate included in the template? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point

  • A. table definitions
  • B. linked services
  • C. data formats
  • D. table permissions
  • E. relationships

Answer: A,E


NEW QUESTION # 133
You plan to develop a dataset named Purchases by using Azure databricks Purchases will contain the following columns:
* ProductID
* ItemPrice
* lineTotal
* Quantity
* StorelD
* Minute
* Month
* Hour
* Year
* Day
You need to store the data to support hourly incremental load pipelines that will vary for each StoreID. the solution must minimize storage costs. How should you complete the rode? To answer, select the appropriate options In the answer are a.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://intellipaat.com/community/11744/how-to-partition-and-write-dataframe-in-spark-without-deleting-partitions-with-no-new-data


NEW QUESTION # 134
You have an Azure Stream Analytics job that is a Stream Analytics project solution in Microsoft Visual Studio. The job accepts data generated by IoT devices in the JSON format.
You need to modify the job to accept data generated by the IoT devices in the Protobuf format.
Which three actions should you perform from Visual Studio on sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/custom-deserializer


NEW QUESTION # 135
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:

Explanation
Graphical user interface, application, table Description automatically generated

Box 1: {date}/product.csv
In the 2nd exhibit we see: Location: refdata / 2020-03-20
Note: Path Pattern: This is a required property that is used to locate your blobs within the specified container.
Within the path, you may choose to specify one or more instances of the following 2 variables:
{date}, {time}
Example 1: products/{date}/{time}/product-list.csv
Example 2: products/{date}/product-list.csv
Example 3: product-list.csv
Box 2: YYYY-MM-DD
Note: Date Format [optional]: If you have used {date} within the Path Pattern that you specified, then you can select the date format in which your blobs are organized from the drop-down of supported formats.
Example: YYYY/MM/DD, MM/DD/YYYY, etc.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-use-reference-data


NEW QUESTION # 136
......

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