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Oracle Cloud Database 2024 Migration Professional Sample Questions (Q80-Q85):
NEW QUESTION # 80
During GoldenGate monitoring, you observe a significant increase in redo log files on the source database. What potential cause could explain this phenomenon?
Answer: C
Explanation:
Here's a breakdown of why:
High transaction volume: When the source database experiences a significant increase in transaction volume, it generates more redo logs. This is a normal behavior and is not necessarily a cause for concern.
The other options are less likely:
A). If GoldenGate is capturing too many DML statements, it would likely lead to performance issues on the source database, not an increase in redo log files.
C). A low commit frequency could lead to delays in data replication but wouldn't directly cause an increase in redo log files on the source database.
D). If the target database is lagging behind the source in replication, it might lead to increased redo log files on the target database, not the source.
Therefore, high transaction volume on the source database is the most likely cause for the observed increase in redo log files.
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NEW QUESTION # 81
A company needs to migrate a large e-commerce database to a new Oracle Cloud environment with minimal disruption to online sales. Which ZDM use case best aligns with this scenario?
Answer: B
Explanation:
Here's a breakdown of why:
E-commerce database migration: The primary goal of migrating a large e-commerce database to a new Oracle Cloud environment is to leverage the scalability and performance benefits of the cloud to support the growing demands of the business.
The other options are less relevant:
A). Database consolidation is typically done to reduce costs and complexity, which may not be the primary goal for an e-commerce database migration.
B). Disaster recovery site setup is important for business continuity but is not directly related to leveraging the cloud for performance and scalability.
C). Schema and data type conversion may be necessary during the migration process but is not the primary reason for migrating to the cloud in this case.
ย
NEW QUESTION # 82
Which consideration is most relevant for maintaining Oracle Database Archive Logging functionality when migrating to a target database in OCI?
Answer: D
Explanation:
Archive log retention settings (A) are configurable on the target as well. ADW (B) is for data warehousing and doesn't directly manage archive logs. Flashback Database (D) uses archive logs but doesn't handle archiving itself. OCI Object Storage (C) provides a cost-effective and scalable solution for archiving redo logs generated on the target database in OCI.
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NEW QUESTION # 83
Which of the following migration methods represents a primarily logical migration approach?
Answer: A
Explanation:
Migrating with Data Pump Export/Import utilities represents a primarily logical migration approach.
Here's a breakdown of why:
Data Pump: This tool exports the database schema and data into a transportable format, which is then imported into the target database. This process is primarily logical as it focuses on the data and schema, rather than the physical database files.
Other options:
Oracle Database Cloud Service (autonomous): This is a managed service that handles the migration process, but it can involve both logical and physical components depending on the specific migration method used.
Transportable tablespaces and user accounts: This involves moving specific components of the database, but it can still include both logical and physical elements.
RMAN backups and restores: This method is primarily physical, as it involves copying the physical database files to the target environment
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NEW QUESTION # 84
Which type of Autonomous Database (ADB) is most suitable for a large, read-mostly database where scalability and manageability are key considerations?
Answer: B
Explanation:
Autonomous Data Warehouse (ADW) is the most suitable Autonomous Database (ADB) option for a large, read-mostly database where scalability and manageability are key considerations.
Here's why:
Scalability: ADW is designed to handle massive datasets and complex queries efficiently. It can scale both vertically (by increasing resources) and horizontally (by adding more nodes) to accommodate growing workloads.
Read-Heavy Workloads: ADW is optimized for read-heavy workloads, making it ideal for scenarios where data is frequently queried but less frequently updated.
Manageability: Autonomous Database, including ADW, is fully managed by Oracle, eliminating the need for extensive database administration tasks.
This reduces operational overhead and allows you to focus on your core business.
While other ADB options might be suitable for different use cases, ADW's specific features and optimizations make it the best choice for large, read-mostly databases that require scalability and manageability.
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NEW QUESTION # 85
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