Podcast
Questions and Answers
The Apply Changes Into operation creates a type 2 slowly changing dimension table.
The Apply Changes Into operation creates a type 2 slowly changing dimension table.
False
Using the Apply As Delete When condition, records can be removed from the target table.
Using the Apply As Delete When condition, records can be removed from the target table.
True
Records inserted into the target table will always replace existing records regardless of primary key matching.
Records inserted into the target table will always replace existing records regardless of primary key matching.
False
Once data is updated in the target table, it can still be used as a streaming source without issues.
Once data is updated in the target table, it can still be used as a streaming source without issues.
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The Except keyword is used to specify primary keys for a table.
The Except keyword is used to specify primary keys for a table.
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Change Data Capture identifies and captures changes made to data in both the source and target.
Change Data Capture identifies and captures changes made to data in both the source and target.
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New records, updated records, and deleted records are all types of changes tracked by Change Data Capture.
New records, updated records, and deleted records are all types of changes tracked by Change Data Capture.
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Metadata information logged by Change Data Capture events includes a version number or timestamp.
Metadata information logged by Change Data Capture events includes a version number or timestamp.
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The Apply Changes Into command in Delta Live Tables allows changes to be applied without creating the target table first.
The Apply Changes Into command in Delta Live Tables allows changes to be applied without creating the target table first.
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The Sequence By condition is used to specify which fields should be deleted from the target table.
The Sequence By condition is used to specify which fields should be deleted from the target table.
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Delta Live Tables processes CDC feeds either as data streams or in XML files.
Delta Live Tables processes CDC feeds either as data streams or in XML files.
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The Apply As Delete When condition specifies records that should be updated in the target table.
The Apply As Delete When condition specifies records that should be updated in the target table.
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Late arriving records are automatically ordered using a user-provided sequencing key in the Apply Changes Into command.
Late arriving records are automatically ordered using a user-provided sequencing key in the Apply Changes Into command.
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What is the default behavior of the Apply Changes Into operation for insert and update events?
What is the default behavior of the Apply Changes Into operation for insert and update events?
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Which of the following accurately describes the Apply As Delete When condition?
Which of the following accurately describes the Apply As Delete When condition?
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What effect does creating a type 1 slowly changing dimension have on data in the target table?
What effect does creating a type 1 slowly changing dimension have on data in the target table?
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What is a disadvantage of the Apply Changes Into operation in terms of streaming sources?
What is a disadvantage of the Apply Changes Into operation in terms of streaming sources?
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How does the Except keyword function in the context of a target table?
How does the Except keyword function in the context of a target table?
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What happens to downstream results when records arrive out of order?
What happens to downstream results when records arrive out of order?
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Which option correctly states how primary keys are utilized in a target table?
Which option correctly states how primary keys are utilized in a target table?
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What is the primary purpose of Change Data Capture (CDC)?
What is the primary purpose of Change Data Capture (CDC)?
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What kind of changes does Change Data Capture track?
What kind of changes does Change Data Capture track?
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Which command is used in Delta Live Tables to apply changes from a CDC feed?
Which command is used in Delta Live Tables to apply changes from a CDC feed?
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What metadata is essential for tracking changes in CDC events?
What metadata is essential for tracking changes in CDC events?
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In Delta Live Tables, what does the KEYS clause specify in the Apply Changes Into command?
In Delta Live Tables, what does the KEYS clause specify in the Apply Changes Into command?
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What happens to records in the target table when the Apply As Delete When condition is met?
What happens to records in the target table when the Apply As Delete When condition is met?
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How does Delta Live Tables handle late arriving records in the CDC process?
How does Delta Live Tables handle late arriving records in the CDC process?
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Which of the following statements about the target Delta Live Table is true before executing the Apply Changes Into command?
Which of the following statements about the target Delta Live Table is true before executing the Apply Changes Into command?
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Match the following terms with their definitions:
Match the following terms with their definitions:
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Match the following operations with their effects on the target table:
Match the following operations with their effects on the target table:
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Match the following scenarios with their outcomes:
Match the following scenarios with their outcomes:
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Match the following terms related to Change Data Capture with their definitions:
Match the following terms related to Change Data Capture with their definitions:
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Match the types of records in Change Data Capture to their corresponding actions:
Match the types of records in Change Data Capture to their corresponding actions:
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Match the following Delta Live Tables features with their descriptions:
Match the following Delta Live Tables features with their descriptions:
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Match the metadata information logged by Change Data Capture events with their descriptions:
Match the metadata information logged by Change Data Capture events with their descriptions:
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Match the following terms related to CDC with their correct implications:
Match the following terms related to CDC with their correct implications:
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Match the following key functions with their roles in data processing:
Match the following key functions with their roles in data processing:
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Match the commands or conditions in Delta Live Tables with their functions:
Match the commands or conditions in Delta Live Tables with their functions:
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Match the following concepts with their respective characteristics:
Match the following concepts with their respective characteristics:
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Match the outcome of applying changes to the target table with the respective record type:
Match the outcome of applying changes to the target table with the respective record type:
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Match the types of data formats used to receive CDC feeds with their characteristics:
Match the types of data formats used to receive CDC feeds with their characteristics:
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Match the components of the CDC process with their roles:
Match the components of the CDC process with their roles:
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Match the features of the Apply Changes Into command with their descriptions:
Match the features of the Apply Changes Into command with their descriptions:
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Study Notes
Change Data Capture (CDC) Overview
- Change Data Capture (CDC) identifies and captures changes made to data in the source and delivers them to the target.
- Changes include inserting new records, updating existing records, and deleting records at the source that must be reflected in the target.
- Changes are logged as events containing both data and metadata, which indicates the nature of changes (insert, update, delete) along with a version number or timestamp for order.
CDC Events Example
- In a target table, the most recent change should be applied for each record.
- Example:
- "Canada" is to be deleted from the target.
- "USA" and "India" are new records that need to be inserted.
- The target will not have the deleted record (Canada).
CDC Feed and Processing
- CDC feed can come from the source as a data stream or in formats like JSON files.
- Delta Live Tables handle CDC processing using the
Apply Changes Into
command.
Apply Changes Into Command
- Command syntax:
Apply changes into <target_table> FROM <CDC_feed_table>
. -
KEYS
clause identifies primary key fields, where matches in the target table dictate if a record is updated or inserted. -
Apply As Delete When
condition specifies when to delete records based on a delete operation field. -
Sequence By
allows for specifying order in which operations should be applied. - Target Delta Live Table must be created before executing this command.
Features of Apply Changes Into
- Automatically orders late arriving records to ensure integrity in downstream results.
- Handles deletes to ensure values are removed from later pipeline tables.
- Default behavior is upsert, updating rows matching specified keys or inserting new records if no match exists.
- Optional conditions for managing delete events.
- Supports defining single or multiple primary keys for tables.
-
Except
keyword can specify columns to ignore during processing. - Can create slowly changing dimension tables (Type 1 or Type 2), with Type 1 being the default, which means updates overwrite original records.
Considerations and Limitations
- Updates and deletes in the target table break the append-only requirement for streaming sources.
- Once a target table is updated or records are deleted, it can no longer be utilized as a streaming source in subsequent layers.
Change Data Capture (CDC) Overview
- Change Data Capture (CDC) identifies and captures changes made to data in the source and delivers them to the target.
- Changes include inserting new records, updating existing records, and deleting records at the source that must be reflected in the target.
- Changes are logged as events containing both data and metadata, which indicates the nature of changes (insert, update, delete) along with a version number or timestamp for order.
CDC Events Example
- In a target table, the most recent change should be applied for each record.
- Example:
- "Canada" is to be deleted from the target.
- "USA" and "India" are new records that need to be inserted.
- The target will not have the deleted record (Canada).
CDC Feed and Processing
- CDC feed can come from the source as a data stream or in formats like JSON files.
- Delta Live Tables handle CDC processing using the
Apply Changes Into
command.
Apply Changes Into Command
- Command syntax:
Apply changes into <target_table> FROM <CDC_feed_table>
. -
KEYS
clause identifies primary key fields, where matches in the target table dictate if a record is updated or inserted. -
Apply As Delete When
condition specifies when to delete records based on a delete operation field. -
Sequence By
allows for specifying order in which operations should be applied. - Target Delta Live Table must be created before executing this command.
Features of Apply Changes Into
- Automatically orders late arriving records to ensure integrity in downstream results.
- Handles deletes to ensure values are removed from later pipeline tables.
- Default behavior is upsert, updating rows matching specified keys or inserting new records if no match exists.
- Optional conditions for managing delete events.
- Supports defining single or multiple primary keys for tables.
-
Except
keyword can specify columns to ignore during processing. - Can create slowly changing dimension tables (Type 1 or Type 2), with Type 1 being the default, which means updates overwrite original records.
Considerations and Limitations
- Updates and deletes in the target table break the append-only requirement for streaming sources.
- Once a target table is updated or records are deleted, it can no longer be utilized as a streaming source in subsequent layers.
Change Data Capture (CDC) Overview
- Change Data Capture (CDC) identifies and captures changes made to data in the source and delivers them to the target.
- Changes include inserting new records, updating existing records, and deleting records at the source that must be reflected in the target.
- Changes are logged as events containing both data and metadata, which indicates the nature of changes (insert, update, delete) along with a version number or timestamp for order.
CDC Events Example
- In a target table, the most recent change should be applied for each record.
- Example:
- "Canada" is to be deleted from the target.
- "USA" and "India" are new records that need to be inserted.
- The target will not have the deleted record (Canada).
CDC Feed and Processing
- CDC feed can come from the source as a data stream or in formats like JSON files.
- Delta Live Tables handle CDC processing using the
Apply Changes Into
command.
Apply Changes Into Command
- Command syntax:
Apply changes into <target_table> FROM <CDC_feed_table>
. -
KEYS
clause identifies primary key fields, where matches in the target table dictate if a record is updated or inserted. -
Apply As Delete When
condition specifies when to delete records based on a delete operation field. -
Sequence By
allows for specifying order in which operations should be applied. - Target Delta Live Table must be created before executing this command.
Features of Apply Changes Into
- Automatically orders late arriving records to ensure integrity in downstream results.
- Handles deletes to ensure values are removed from later pipeline tables.
- Default behavior is upsert, updating rows matching specified keys or inserting new records if no match exists.
- Optional conditions for managing delete events.
- Supports defining single or multiple primary keys for tables.
-
Except
keyword can specify columns to ignore during processing. - Can create slowly changing dimension tables (Type 1 or Type 2), with Type 1 being the default, which means updates overwrite original records.
Considerations and Limitations
- Updates and deletes in the target table break the append-only requirement for streaming sources.
- Once a target table is updated or records are deleted, it can no longer be utilized as a streaming source in subsequent layers.
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Description
This quiz explores the concept of Change Data Capture (CDC) and its implementation in Data Live Tables. You will learn how CDC identifies and processes data changes, including new and updated records, from the source to the target. Gain insights into the significance of CDC in data management and processing.