Questions and Answers
What is the primary requirement for altering the table in Azure Synapse Analytics dedicated SQL pool?
[ManagerEmployeeKey] [int] NULL
What data type should be used for the column added to identify the manager in the table?
int
What is the name of the Azure Synapse workspace in the given scenario?
MyWorkspace
What is the name of the Apache Spark database within the Azure Synapse workspace?
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What is the purpose of adding a new column to the table in Azure Synapse Analytics dedicated SQL pool?
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What outcome is ensured by altering the table in Azure Synapse Analytics dedicated SQL pool?
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What will be returned by the query in the given scenario?
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What is the primary purpose of creating an empty table named SalesFact_work in the stored procedure?
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Why does the SELECT query using an external table named ExtTable return an error?
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What should be done to remove data from SalesFact that is older than 36 months at the beginning of each month?
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What will be the result of inserting a row into mytestdb.myParquetTable with EmployeeID = 24, EmployeeName = 'Alice', and EmployeeStartDate = '2022-10-15'?
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What is the purpose of using a clustered columnstore index on the SalesFact table?
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Why is it important to ensure that the partitions align on their respective boundaries when switching partitions between tables?
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In the given scenario, what might be a possible reason for using a Spark pool in Azure Synapse Analytics?
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Study Notes
Azure Synapse Analytics Dedicated SQL Pool
- To alter a table in Azure Synapse Analytics dedicated SQL pool, the primary requirement is to have the necessary permissions and access.
- When adding a column to identify the manager in a table, the recommended data type is an integer or a unique identifier (e.g., GUID).
Azure Synapse Workspace and Apache Spark Database
- The Azure Synapse workspace is a centralized platform for data integration, analytics, and AI.
- The Apache Spark database within the Azure Synapse workspace is used for big data analytics and processing.
Altering Tables and Adding Columns
- The purpose of adding a new column to a table in Azure Synapse Analytics dedicated SQL pool is to store additional data or metadata.
- Altering a table in Azure Synapse Analytics dedicated SQL pool ensures that the changes are persisted and the table is updated accordingly.
Query Results and Table Creation
- The query in the given scenario will return the result based on the specified conditions and joins.
- Creating an empty table named SalesFact_work in the stored procedure is primarily used for temporary data storage or processing.
Data Management and Indexing
- To remove data from SalesFact that is older than 36 months at the beginning of each month, a scheduled task or a stored procedure can be used to delete the outdated data.
- Using a clustered columnstore index on the SalesFact table improves query performance and data compression.
- When switching partitions between tables, it is crucial to ensure that the partitions align on their respective boundaries to maintain data consistency and integrity.
Data Ingestion and Processing
- Inserting a row into mytestdb.myParquetTable with specific values will result in the new row being added to the table.
- Using a Spark pool in Azure Synapse Analytics is suitable for large-scale data processing, machine learning, and data engineering tasks.
Error Handling and Troubleshooting
- The SELECT query using an external table named ExtTable returns an error if the table is not properly configured or if there are issues with the data connection.
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