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Microsoft DP-203 (Data Engineering on Microsoft Azure) certification exam is an industry-recognized credential that validates a candidate's knowledge and expertise in designing and implementing data solutions on the Microsoft Azure platform. DP-203 exam is intended for data professionals who work with Azure technologies to design and implement data solutions, including data architects, data engineers, and business intelligence professionals.

The DP-203 exam is an essential certification for data engineers who want to demonstrate their expertise in designing and implementing data solutions on Microsoft Azure. DP-203 Exam is designed to validate the skills of candidates in developing and implementing data pipelines, performing data transformation and integration, and implementing data storage solutions on Azure. Passing DP-203 exam also demonstrates that the candidate has an in-depth understanding of Azure data services and can design solutions that meet the business requirements of their organization.

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Before you really attend the DP-203 exam and choose your materials, we want to remind you of the importance of holding a certificate like this one. Obtaining a DP-203 certificate likes this one can help you master a lot of agreeable outcomes in the future, like higher salary, the opportunities to promotion and being trusted by the superiors and colleagues. Our DP-203 Exam Questions can help you achieve all of your dreams.

Microsoft DP-203 exam is designed for data engineers who want to demonstrate their expertise in designing and implementing data solutions on Microsoft Azure. DP-203 exam focuses on the deployment of various data platform technologies such as Azure Stream Analytics, Azure Data Factory, Azure Cosmos DB, and Azure SQL Database. The DP-203 Exam is an associate-level certification that validates a candidate's skills and knowledge required to design, implement and maintain data solutions on Azure.

Microsoft Data Engineering on Microsoft Azure Sample Questions (Q185-Q190):

NEW QUESTION # 185
You use Azure Data Lake Storage Gen2 to store data that data scientists and data engineers will query by using Azure Databricks interactive notebooks. Users will have access only to the Data Lake Storage folders that relate to the projects on which they work.
You need to recommend which authentication methods to use for Databricks and Data Lake Storage to provide the users with the appropriate access. The solution must minimize administrative effort and development effort.
Which authentication method should you recommend for each Azure service? 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/databricks/data/data-sources/azure/adls-gen2/azure-datalake-gen2-sas-access
https://docs.microsoft.com/en-us/azure/databricks/security/credential-passthrough/adls-passthrough

NEW QUESTION # 186
You are designing an Azure Stream Analytics job to process incoming events from sensors in retail environments.
You need to process the events to produce a running average of shopper counts during the previous 15 minutes, calculated at five-minute intervals.
Which type of window should you use?

A. tumbling
B. sliding
C. snapshot
D. hopping

Answer: A

Explanation:
Explanation
Tumbling windows are a series of fixed-sized, non-overlapping and contiguous time intervals. The following diagram illustrates a stream with a series of events and how they are mapped into 10-second tumbling windows.

Reference:
https://docs.microsoft.com/en-us/stream-analytics-query/tumbling-window-azure-stream-analytics

NEW QUESTION # 187
You have two Azure SQL databases named DB1 and DB2.
DB1 contains a table named Table 1. Table1 contains a timestamp column named LastModifiedOn.
LastModifiedOn contains the timestamp of the most recent update for each individual row.
DB2 contains a table named Watermark. Watermark contains a single timestamp column named WatermarkValue.
You plan to create an Azure Data Factory pipeline that will incrementally upload into Azure Blob Storage all the rows in Table1 for which the LastModifiedOn column contains a timestamp newer than the most recent value of the WatermarkValue column in Watermark.
You need to identify which activities to include in the pipeline. The solution must meet the following requirements:
* Minimize the effort to author the pipeline.
* Ensure that the number of data integration units allocated to the upload operation can be controlled.
What should you identify? To answer, select the appropriate options in the answer area.

Answer:

Explanation:

Explanation:

NEW QUESTION # 188
You have an Apache Spark DataFrame named temperatures. A sample of the data is shown in the following table.

You need to produce the following table by using a Spark SQL query.

How should you complete the query? 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://learnsql.com/cookbook/how-to-convert-an-integer-to-a-decimal-in-sql-server/
https://docs.microsoft.com/en-us/sql/t-sql/queries/from-using-pivot-and-unpivot

NEW QUESTION # 189
You plan to create a table in an Azure Synapse Analytics dedicated SQL pool.
Data in the table will be retained for five years. Once a year, data that is older than five years will be deleted.
You need to ensure that the data is distributed evenly across partitions. The solution must minimize the amount of time required to delete old data.
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:

Explanation:
Box 1: HASH
Box 2: OrderDateKey
In most cases, table partitions are created on a date column.
A way to eliminate rollbacks is to use Metadata Only operations like partition switching for data management.
For example, rather than execute a DELETE statement to delete all rows in a table where the order_date was in October of 2001, you could partition your data early. Then you can switch out the partition with data for an empty partition from another table.
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-table-azure-sql-data-warehouse
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/best-practices-dedicated-sql-pool

NEW QUESTION # 190
......

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Free PDF Latest Microsoft - DP-203 Valid Test Book

DP-203 Valid Test Book | 100% Free Pass-Sure Test Data Engineering on Microsoft Azure Dumps.zip

Microsoft Data Engineering on Microsoft Azure Sample Questions (Q185-Q190):

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