What is the primary purpose of Synapse SQL in Azure Synapse Analytics?

• Data warehousing and query processing

• Log analytics

• Machine learning model training

• Event-driven processing

Which Synapse SQL feature allows querying data without needing to load it into a dedicated SQL pool?

• SQL Server Integration

• On-demand Querying

• Dedicated SQL Pool

• Data Streaming

What is Apache Spark primarily used for in Azure Synapse Analytics?

• Real-time transactional processing

• Big data processing and machine learning

• Simple file storage

• Static reporting

Which programming languages are supported by Apache Spark in Azure Synapse?

• Java, SQL, Rust

• Python, Scala, Java

• PHP, C++, Swift

• Go, TypeScript, Ruby

What is the purpose of Data Explorer in Azure Synapse Analytics?

• Managing relational databases

• Large-scale log and time-series analysis

• File compression and archiving

• Transaction handling

Which integration service is built into Azure Synapse Analytics for orchestrating data movement?

• SQL Server Management Studio

• Azure Data Factory

• Event Hub

• Hadoop

What type of data can Synapse Link for Cosmos DB process?

• Only structured transactional data

• Both structured and unstructured data in near real-time

• Only JSON files

• Compressed datasets

How does Synapse Analytics integrate with Power BI?

• Through APIs only

• Through direct query connections and data pipelines

• Power BI cannot be integrated

• Only via file exports

What is the main benefit of using serverless SQL pools in Synapse Analytics?

• Requires no resource provisioning

• Fixed pricing model

• Real-time indexing

• Event-driven architecture

What is the recommended storage format for optimized performance in Azure Synapse?

• CSV

• Parquet

• TXT

• XML