100% PASS REALISTIC DP-203 NEW SOFT SIMULATIONS - DATA ENGINEERING ON MICROSOFT AZURE POSITIVE FEEDBACK

100% Pass Realistic DP-203 New Soft Simulations - Data Engineering on Microsoft Azure Positive Feedback

100% Pass Realistic DP-203 New Soft Simulations - Data Engineering on Microsoft Azure Positive Feedback

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Microsoft Data Engineering on Microsoft Azure Sample Questions (Q241-Q246):

NEW QUESTION # 241
You need to design a solution that will process streaming data from an Azure Event Hub and output the data to Azure Data Lake Storage. The solution must ensure that analysts can interactively query the streaming data.
What should you use?

  • A. Azure Queue storage and read-access geo-redundant storage (RA-GRS)
  • B. Structured Streaming in Azure Databricks
  • C. Azure Stream Analytics and Azure Synapse notebooks
  • D. event triggers in Azure Data Factory

Answer: B

Explanation:
Apache Spark Structured Streaming is a fast, scalable, and fault-tolerant stream processing API. You can use it to perform analytics on your streaming data in near real-time.
With Structured Streaming, you can use SQL queries to process streaming data in the same way that you would process static data.
Azure Event Hubs is a scalable real-time data ingestion service that processes millions of data in a matter of seconds. It can receive large amounts of data from multiple sources and stream the prepared data to Azure Data Lake or Azure Blob storage.
Azure Event Hubs can be integrated with Spark Structured Streaming to perform the processing of messages in near real-time. You can query and analyze the processed data as it comes by using a Structured Streaming query and Spark SQL.


NEW QUESTION # 242
You have an Azure subscription that contains an Azure Blob Storage account named storage1 and an Azure Synapse Analytics dedicated SQL pool named Pool1.
You need to store data in storage1. The data will be read by Pool1. The solution must meet the following requirements:
Enable Pool1 to skip columns and rows that are unnecessary in a query.
Automatically create column statistics.
Minimize the size of files.
Which type of file should you use?

  • A. Avro
  • B. JSON
  • C. CSV
  • D. Parquet

Answer: D

Explanation:
Automatic creation of statistics is turned on for Parquet files. For CSV files, you need to create statistics manually until automatic creation of CSV files statistics is supported.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/develop-tables-statistics


NEW QUESTION # 243
You have an Azure data factory that has the Git repository settings shown in the following exhibit.

Use the drop-down menus to select the answer choose that completes each statement based on the information presented in the graphic.
NOTE: Each correct answer is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 244
You are implementing Azure Stream Analytics windowing functions.
Which windowing function should you use for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 245
You have an Azure subscription that contains the resources shown in the following table.

You need to ensure that you can Spark notebooks in ws1. The solution must ensure secrets from kv1 by using UAMI1. What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 246
......

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