Azure Stream Analytics is a PaaS event processing engine.
Below given is the list of key features or benefits of using Azure Stream Analytics to process streaming data.
From the list, choose the incorrect statement.
Click on the arrows to vote for the correct answer
A. B. C. D. E.Correct Answer: D
Integration with Azure Blob storage is not the main feature or benefit of using Azure Stream Analytics to process streaming data.
The integration with Blob storage can be used for the processing of static data.
Option A is incorrect.
Azure Stream Analytics eases writing complex time-based queries and aggregations over the data produced by connected devices, sensors, or applications.
Option B is incorrect.
It is true that Stream Analytics processes the data in real-time, empowering powerful insights that further help in real-time decision-making.
Option C is incorrect.
Azure Stream Analytics enables writing and testing transformation queries in the Azure portal.
Option D is correct.
Integration with Azure Blob storage is not the main feature or benefit of using Azure Stream Analytics to process streaming data.
Option E is incorrect.
The statement "Integration with Azure Blob storage” is incorrect.
To know more about processing Azure Stream Analytics, please visit the below-given link:
Azure Stream Analytics is a PaaS event processing engine that helps in processing and analyzing streaming data in real-time. It has many key features and benefits that make it an ideal tool for processing and analyzing data in real-time.
A. It eases writing complex time-based queries and aggregations over the data produced by connected devices, sensors, or applications. This statement is correct. Azure Stream Analytics provides a SQL-like query language that simplifies the process of writing complex time-based queries and aggregations over streaming data. It also provides a set of built-in functions and operators that make it easier to perform calculations and aggregations on the data.
B. Stream Analytics processes the data in real-time, empowering powerful insights that further help in real-time decision-making. This statement is correct. Azure Stream Analytics processes streaming data in real-time, which allows for powerful insights and real-time decision-making. It enables users to gain insights from the data as it is generated, which can be critical in many scenarios, such as monitoring systems, detecting anomalies, or predicting future trends.
C. It enables writing and testing transformation queries in the Azure portal. This statement is correct. Azure Stream Analytics provides an easy-to-use interface that allows users to write and test transformation queries directly in the Azure portal. This makes it easier to develop and test Stream Analytics jobs without requiring a separate development environment.
D. Integration with Azure Blob storage. This statement is correct. Azure Stream Analytics integrates with Azure Blob storage, which allows users to store and analyze large volumes of data. This integration enables users to easily store the data produced by Stream Analytics jobs and use it for further analysis.
E. None of these. This option is incorrect, as all of the statements mentioned above are correct. Therefore, the correct answer is E. None of these.