Podcast
Questions and Answers
Which statement about replicated tables in Azure SQL Data Warehouse is true?
Which statement about replicated tables in Azure SQL Data Warehouse is true?
- They are suitable for large fact tables in a star schema
- They are recommended for slowly changing dimension tables
- They should be used for all tables to improve query performance
- They reduce data movement by making data available across all compute nodes (correct)
Why are replicated tables ideal for small star-schema dimension tables?
Why are replicated tables ideal for small star-schema dimension tables?
- Replicated tables are always faster than distributed tables for any schema
- The fact table is often distributed on a column incompatible with connected dimension tables (correct)
- Dimension tables are updated more frequently than fact tables, so replicating them reduces lock contention
- Dimension tables are typically larger than fact tables, so replicating them improves performance
Which type of table distribution should be changed to replicated for improved performance?
Which type of table distribution should be changed to replicated for improved performance?
- Replicated fact tables
- Hash-distributed fact tables
- Hash-distributed dimension tables
- Round-robin distributed dimension tables (correct)
What is a potential drawback of using replicated tables in Azure SQL Data Warehouse?
What is a potential drawback of using replicated tables in Azure SQL Data Warehouse?
Which type of queries can benefit from using replicated tables?
Which type of queries can benefit from using replicated tables?
What is a common misconception about Apache Kafka?
What is a common misconception about Apache Kafka?
When should Apache Kafka not be used?
When should Apache Kafka not be used?
What is a key factor in disqualifying Apache Kafka as the right tool for a job?
What is a key factor in disqualifying Apache Kafka as the right tool for a job?
Why is Apache Kafka often considered the de facto standard for data streaming?
Why is Apache Kafka often considered the de facto standard for data streaming?
In what scenario would Apache Kafka be wrongly perceived as a message queue?
In what scenario would Apache Kafka be wrongly perceived as a message queue?
How does the blog post suggest evaluating when Apache Kafka should not be used?
How does the blog post suggest evaluating when Apache Kafka should not be used?
What is the primary reason that Kafka is considered unique and successful?
What is the primary reason that Kafka is considered unique and successful?
What is the main reason why Kafka is considered complementary, not competitive, to other data streaming technologies?
What is the main reason why Kafka is considered complementary, not competitive, to other data streaming technologies?
What is the relationship between Apache Kafka and Apache Flink in the data streaming landscape?
What is the relationship between Apache Kafka and Apache Flink in the data streaming landscape?
What is the main recommendation regarding the use of Apache Kafka?
What is the main recommendation regarding the use of Apache Kafka?
What is the current status of Apache Kafka in the data streaming landscape?
What is the current status of Apache Kafka in the data streaming landscape?