FREE DP-203 Data Processing Questions and Answers
What is the primary purpose of Azure Data Factory?
Azure Data Factory is primarily used for creating data pipelines that can move, transform, and integrate data from various sources, enabling efficient data orchestration and ETL (Extract, Transform, Load) processes.
Which programming languages are primarily supported by Azure Databricks for data processing?
Azure Databricks supports various programming languages, with Python and R being the most commonly used for data processing and analysis. It also supports Scala and SQL, but Python and R are particularly popular in data science and analytics tasks.
What is a key feature of Azure Synapse Analytics?
Azure Synapse Analytics integrates big data and data warehousing capabilities, allowing users to analyze large volumes of data using both serverless and provisioned resources. This makes it a comprehensive platform for modern analytics.
Which type of data processing is Azure Stream Analytics primarily used for?
Azure Stream Analytics is designed for real-time data processing and analytics. It enables users to analyze and process streaming data from sources like IoT devices, social media feeds, and application logs in real-time.
What is a primary feature of the Data Flow in Azure Data Factory?
Data Flow in Azure Data Factory provides a visual interface for designing data transformations without needing to write code. This feature allows users to create complex data transformation logic easily, making it accessible for non-developers.