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NEW QUESTION # 19
How should GoldenGate be configured to handle the migration of materialized views and ensure data consistency on the target database?
Answer: D
Explanation:
Here's a breakdown of why:
Materialized view updates: To ensure data consistency, GoldenGate should capture DML statements that update the underlying tables of materialized views. This allows the target database to refresh the materialized views based on the changes captured from the source.
The other options are incorrect:
A). Disabling materialized view refresh on the source database is not necessary and can lead to data inconsistencies.
B). Migrating materialized views after other schema objects can introduce delays and potential inconsistencies.
C). Filtering materialized views from the migration would prevent them from being replicated to the target database, leading to data inconsistencies.
NEW QUESTION # 20
During the Post-Migration phase, which of the following activities is the HIGHEST priority to ensure a successful migration?
Answer: A
Explanation:
Performing a full data validation to identify any inconsistencies is the highest priority activity during the Post-Migration phase.
Here's why:
Data integrity: Ensuring that the data has been transferred accurately and without errors is crucial for the success of the migration.
Risk mitigation: Identifying inconsistencies early can prevent potential issues and data loss.
Validation depth: A full data validation involves comparing the data in the source and target databases to ensure that everything has been migrated correctly.
While the other activities are also important, they can be addressed at a later stage:
a) Optimizing database performance on the target environment: This can be done gradually as you monitor the performance of the migrated database and identify areas for improvement.
b) Performing a basic smoke test to verify basic functionality: This can be done as a preliminary check, but a full data validation is still necessary to ensure comprehensive accuracy.
d) Decommissioning the source database after successful migration: This should be done after a thorough validation to ensure that the target database is fully functional and reliable.
NEW QUESTION # 21
Which of the following considerations when choosing a target database option in OCI is MOST crucial to ensure successful migration and data integrity?
Answer: C
Explanation:
Here's why:
Data Integrity: If the character sets are incompatible, there's a high risk of data corruption, loss, or incorrect display.
Encoding: Ensuring compatibility prevents issues related to character encoding, which can lead to data corruption or loss.
Functionality: Incompatibility can affect database functionality and performance, especially for applications that rely on specific character sets.
While the other options are also important, they are less critical for data integrity:
A). The target database version must be the same as the source database version. While version compatibility is generally recommended, it's not always strictly necessary, especially if the source and target versions are close.
B). The target database edition (e.g., Standard, Enterprise) must match the source. The target database edition should be chosen based on the specific needs of the migrated workload. While it's generally recommended to match the source edition, it's not always strictly necessary.
D). The target database storage tier (e.g., high performance, balanced) should be optimized. Storage tier selection is important for performance, but it doesn't directly affect data integrity.
NEW QUESTION # 22
Which of the following statements is true regarding patching and maintenance in a Multitenant architecture with Oracle Database on OCI?
Answer: B
Explanation:
In a Multitenant architecture, the Container Database (CDB) is the top-level container that manages multiple Pluggable Databases (PDBs). Maintenance operations on the CDB, such as patching or upgrades, can affect the availability of all PDBs within it. This is because the CDB provides shared services and resources to the PDBs.
Here's a breakdown of the other statements:
A). Patching the CDB automatically applies the updates to all associated PDBs, simplifying maintenance. This is partially true. While patching the CDB can apply updates to all PDBs, it's not always automatic. In some cases, manual intervention might be required to ensure compatibility and avoid conflicts.
B). Each PDB requires individual patching, potentially leading to downtime during maintenance windows. This is not entirely correct. While it's possible to patch individual PDBs, patching the CDB often applies updates to all PDBs. However, downtime during maintenance windows can still occur, especially for critical PDBs.
D). Oracle Database Cloud Service (autonomous) eliminates the need for manual patching in a Multitenant environment. While Oracle Database Cloud Service (autonomous) automates many management tasks, including patching, it doesn't completely eliminate the need for manual intervention in all cases. For example, if a custom patch is required or if there are specific configuration changes needed, manual intervention might be necessary.
NEW QUESTION # 23
When configuring ZDM with Oracle Data Guard for a large database, which Data Guard configuration option is most relevant to optimize redo apply performance on the standby database?
Answer: A
Explanation:
Here's a breakdown of why:
Parallel redo apply: Using multiple redo apply servers allows the standby database to process redo logs in parallel, significantly improving redo apply performance. This is especially beneficial for large databases with high transaction volumes.
The other options are less relevant to optimizing redo apply performance:
A). Block size is primarily related to storage efficiency and database performance. It doesn't directly impact redo apply performance.
B). FastStart Failover is more relevant to minimizing downtime during a failover event. While it can indirectly improve performance by reducing the time the standby database is unavailable, it doesn't directly optimize redo apply performance.
C). Automatic redo apply gaps resolution is useful for handling situations where redo logs are missing or corrupted. While it can help with recovery, it doesn't directly improve redo apply performance.
NEW QUESTION # 24
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