24 Questions
What is the primary goal of assigning a larger resource class to automated data load queries in Azure Synapse Analytics?
To ensure automated data loads complete quickly and successfully
What is the impact of a smaller resource class on the performance of a query in Azure Synapse Analytics?
It reduces the maximum memory per query but increases concurrency
What is the purpose of Dropwizard counters and gauges in Azure Databricks monitoring?
To track performance metrics in Azure Databricks
What does an increasing Backlogged input Events metric indicate in an Azure Stream Analytics job?
The job is experiencing performance issues
What is the primary goal of creating sampled statistics for every column in each table in Azure Synapse Analytics?
To improve query performance
What is the recommended distribution type for a fact table in Azure Synapse Analytics if the table size on disk is more than 2 GB?
Hash
What is the impact of hashing large fact tables in Azure Synapse Analytics on data loads?
It improves data load performance
What is the purpose of building the spark-listeners-loganalytics-1.0-SNAPSHOT.jar JAR file in Azure Databricks monitoring?
To monitor application logs
What type of index is recommended for a columnstore table in Azure Synapse Analytics for optimal query performance?
Clustered Columnstore
What is the benefit of using a date dimension table in a data warehouse?
Simplified data analysis
What is the primary goal of optimizing data loads in Azure Synapse Analytics?
To ensure automated data loads complete quickly and successfully
What is the primary purpose of a star schema in a data warehouse?
To simplify data analysis
What is the recommended distribution type for a fact table in Azure Synapse Analytics if the table has frequent insert, update, and delete operations?
Hash
What is the benefit of using a clustered columnstore index in Azure Synapse Analytics?
Faster query performance
What is the primary purpose of an Azure Data Factory pipeline?
To trigger data processing tasks
What is the recommended frequency for triggering an Azure Data Factory pipeline if the data is updated hourly?
Hourly
What is the default number of workload groups created when SQL Server is installed?
Two
What is the purpose of Resource Governor in SQL Server?
To manage workload groups and resource pools
What is the cause of performance issues in an Azure SQL database according to the Intelligent Insights diagnostics log?
TempDB contention
What is a recommended solution to alleviate tempDB contention in an Azure SQL database?
Implementing memory-optimized tables
What is the purpose of the Intelligent Insights diagnostics log in an Azure SQL database?
To troubleshoot tempDB contention
What is a common issue that can cause performance issues in an Azure SQL database?
TempDB contention
What is a recommended step to take when troubleshooting tempDB contention in an Azure SQL database?
Stop using temporary tables
What is the benefit of using memory-optimized tables in an Azure SQL database?
Improved query performance
Study Notes
Building Spark-Listeners-Loganalytics JAR
- Build the spark-listeners-loganalytics-1.0-SNAPSHOT.jar JAR file
- Create Dropwizard counters or gauges in the application code for monitoring and logging purposes
Azure Synapse Analytics
- Assign a larger resource class to automated data load queries to ensure they have enough memory to complete quickly and successfully
- Smaller resource classes reduce maximum memory per query but increase concurrency
- Larger resource classes increase maximum memory per query but reduce concurrency
Azure Stream Analytics
- Monitor the Backlogged input Events metric to ensure it's not increasing slowly and consistently non-zero
Designing an Enterprise Data Warehouse
- For a star schema fact table, recommend a hash-distributed table with a clustered columnstore index for the fastest query performance
- Consider using a hash-distributed table when the table size on disk is more than 2 GB and has frequent insert, update, and delete operations
- Clustered columnstore tables offer both the highest level of data compression and the best overall query performance
Azure Data Factory
- Use resource pools to manage workload groups and resource governance
- Resource Governor supports user-defined workload groups
Azure SQL Database
- Implement memory-optimized tables to resolve performance issues due to tempDB contention
- TempDB contention troubleshooting involves identifying and stopping the use of temporary tables and using memory-optimized tables instead
This quiz assesses your understanding of monitoring application logs in Databricks, including building JAR files and creating Dropwizard counters and gauges.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
