DP-203 EXCELLECT PASS RATE - EXAM DP-203 TESTS

DP-203 Excellect Pass Rate - Exam DP-203 Tests

DP-203 Excellect Pass Rate - Exam DP-203 Tests

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Tags: DP-203 Excellect Pass Rate, Exam DP-203 Tests, Latest DP-203 Test Dumps, DP-203 Latest Exam Dumps, DP-203 New Question

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Data Engineering on Microsoft Azure has introduced practice test (desktop and web-based) for the students so they can practice anytime in an easy way. The Data Engineering on Microsoft Azure (DP-203) practice tests are customizable which means the students can set the time and questions according to their needs. The DP-203 Practice Tests have unlimited tries so that the users don't make extra mistakes when giving it the next time. Candidates can access the previously given tries from the history and avoid making mistakes in the final examination.

Microsoft DP-203 exam is suitable for data engineers, data architects, and data professionals who want to advance their career in data engineering on the Azure platform. Data Engineering on Microsoft Azure certification exam is ideal for individuals with experience in data engineering, data warehousing, and data analytics. By passing DP-203 exam, data professionals can demonstrate their expertise in designing and implementing data solutions using Microsoft Azure services and gain recognition for their skills and knowledge in the industry.

The DP-203 Exam is a challenging exam that requires candidates to have a solid understanding of data engineering concepts, Azure services, and data processing workflows. Candidates who successfully pass DP-203 exam will have a valuable certification that can help them advance their careers in data engineering. Additionally, organizations that employ data engineers with this certification can be assured that they have the necessary skills to design and implement effective data solutions on Microsoft Azure.

Microsoft Data Engineering on Microsoft Azure Sample Questions (Q140-Q145):

NEW QUESTION # 140
A company has a real-time data analysis solution that is hosted on Microsoft Azure. The solution uses Azure Event Hub to ingest data and an Azure Stream Analytics cloud job to analyze the dat a. The cloud job is configured to use 120 Streaming Units (SU).
You need to optimize performance for the Azure Stream Analytics job.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Scale the SU count for the job down.
  • B. Implement event ordering.
  • C. Implement Azure Stream Analytics user-defined functions (UDF).
  • D. Implement query parallelization by partitioning the data output.
  • E. Scale the SU count for the job up.
  • F. Implement query parallelization by partitioning the data input.

Answer: E,F

Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parallelization


NEW QUESTION # 141
You are designing an Azure Synapse Analytics dedicated SQL pool.
Groups will have access to sensitive data in the pool as shown in the following table.

You have policies for the sensitive data. The policies vary be region as shown in the following table.

You have a table of patients for each region. The tables contain the following potentially sensitive columns.

You are designing dynamic data masking to maintain compliance.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Text Description automatically generated

Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/dynamic-data-masking-overview


NEW QUESTION # 142
You have an Azure Synapse serverless SQL pool.
You need to read JSON documents from a file by using the OPENROWSET function.
How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 143
You have two Azure Data Factory instances named ADFdev and ADFprod. ADFdev connects to an Azure DevOps Git repository.
You publish changes from the main branch of the Git repository to ADFdev.
You need to deploy the artifacts from ADFdev to ADFprod.
What should you do first?

  • A. From Azure DevOps, create a release pipeline.
  • B. From Azure DevOps, update the main branch.
  • C. From ADFdev, modify the Git configuration.
  • D. From ADFdev, create a linked service.

Answer: A


NEW QUESTION # 144
You have an Azure Synapse Analytics workspace named WS1.
You have an Azure Data Lake Storage Gen2 container that contains JSON-formatted files in the following format.

You need to use the serverless SQL pool in WS1 to read the files.
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
Graphical user interface, text, application, email Description automatically generated

Box 1: openrowset
The easiest way to see to the content of your CSV file is to provide file URL to OPENROWSET function, specify csv FORMAT.
Example:
SELECT *
FROM OPENROWSET(
BULK 'csv/population/population.csv',
DATA_SOURCE = 'SqlOnDemandDemo',
FORMAT = 'CSV', PARSER_VERSION = '2.0',
FIELDTERMINATOR =',',
ROWTERMINATOR = 'n'
Box 2: openjson
You can access your JSON files from the Azure File Storage share by using the mapped drive, as shown in the following example:
SELECT book.* FROM
OPENROWSET(BULK N't:booksbooks.json', SINGLE_CLOB) AS json
CROSS APPLY OPENJSON(BulkColumn)
WITH( id nvarchar(100), name nvarchar(100), price float,
pages_i int, author nvarchar(100)) AS book
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/query-single-csv-file
https://docs.microsoft.com/en-us/sql/relational-databases/json/import-json-documents-into-sql-server


NEW QUESTION # 145
......

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