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Data Engineering
Unit 1
Azure Data Engineer
Azure Data Factory
Azure SQL Database
Azure Synapse Analytics
Azure Cosmos DB
Azure Data Lake Storage
Unit 2
Pyspark
Introduction to Pyspark
Working with DataFrames in Pyspark
Data Processing and Analysis with Pyspark
Machine Learning with Pyspark
Optimizing Pyspark Performance
Unit 3
SQL
Introduction to SQL
Data Retrieval with SQL
Data Manipulation with SQL
Unit 1 • Chapter 4
Azure Cosmos DB
Summary
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Concept Check
What is an example of a use case for Azure Cosmos DB?
Offline data storage
Weekly data analysis
Local data backup
Global distribution of data in real-time
Which feature of Azure Cosmos DB helps achieve low-latency reads and writes?
Quarterly data updates
Manual data synchronization
Single-region clustering
Multi-region replication
What consistency levels does Azure Cosmos DB offer?
Stable, Predictable, Continuous, Irregular
Fast, Inconsistent, Random, Intermittent
Weak, Variable, Limited, Disconnected
Strong, Bounded Staleness, Session, Consistent Prefix, Eventual
How does Azure Cosmos DB guarantee 99.999% high availability?
Through weekly data checks
Through manual backups
Through multi-region replication and automatic failover
Through single-region deployment
Check Answer
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Azure Synapse Analytics
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Azure Data Lake Storage