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  1. Home
  2. Oracle Certification
  3. 1Z0-1194-24 Exam
  4. Oracle.1Z0-1194-24.v2025-03-17.q51 Dumps
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Question 16

Which DMS functionality should be prioritized to ensure data consistency during migration?

Correct Answer: D
Here's a breakdown of why:
Referential integrity: Ensuring that data relationships are maintained correctly between tables is crucial for data consistency. DMS dependency analysis helps identify and manage referential integrity constraints, preventing data anomalies during migration.
The other options are less critical for ensuring data consistency:
A). Network bandwidth can affect the speed of data transfer but not necessarily the consistency of the data.
B). Data validation rules can help identify errors in the data but may not address all potential consistency issues.
C). Data cleansing can improve data quality but may not directly impact data consistency.
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Question 17

In Oracle Cloud Database migration, what does the term 'physical migration' refer to?

Correct Answer: C
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Question 18

we are planning to migrate a large database using RMAN. The database contains multiple tablespaces with varying levels of activity. How can you optimize the migration process for efficiency?

Correct Answer: B
The most efficient way to migrate a large database with varying activity levels using RMAN is to create separate backup sets for frequently accessed tablespaces (option B). This allows for more granular control and faster recovery of critical data.
Here's why:
Prioritization: By separating frequently accessed tablespaces into their own backup sets, you can prioritize their recovery in case of issues, ensuring that critical data is restored first.
Efficiency: Backing up frequently accessed tablespaces separately can reduce backup times, as these tablespaces are often smaller and can be backed up more efficiently.
Flexibility: This approach offers more flexibility in case of errors or changes in the migration plan, as you can easily restore individual tablespaces or backup sets without affecting the entire database.
While option A (backing up all tablespaces in a single backup set) might seem simpler, it can lead to longer backup times and more complex recovery processes. Option C (using a single incremental backup) is not ideal for large databases with varying activity levels, as it can result in large backup sets and slower recovery times. Option D (scheduling full backups more frequently) might help with data consistency but can also increase backup times and storage requirements.
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Question 19

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?

Correct Answer: D
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.
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Question 20

Which of the following target database environment features in OCI contributes MOST significantly to data security?

Correct Answer: D
Here's why:
Data Obfuscation: Data Masking obscures sensitive data, making it difficult for unauthorized users to access or misuse it.
Compliance: Data Masking can help organizations comply with data privacy regulations like GDPR and HIPAA.
Risk Mitigation: By protecting sensitive data, Data Masking reduces the risk of data breaches and unauthorized access.
While the other options are also important for security, they focus on different aspects:
a) Scalability and high availability: These features contribute to overall database reliability and performance, but they don't directly address data protection.
b) Automatic patching and updates: Regular patching and updates help protect the database from vulnerabilities, but they don't specifically address data protection.
c) Virtual Private Cloud (VPC) for network isolation: VPCs provide network isolation and security, but they don't directly protect the data within the database.
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