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最新的 Oracle Database 1Z0-1194-24 免費考試真題 (Q37-Q42):
問題 #37
During a Data Pump import operation with a large dataset, which parameter can be used to optimize performance and minimize downtime?
- A. Enabling the ROWGRANULARITY parameter for row-level import processing.
- B. Setting the NETWORK_TIMEOUT parameter to a higher value.
- C. Utilizing the TRANSPORT_DATA parameter to include table data during import.
- D. Configuring the STATISTICS parameter to gather detailed import statistics.
答案:A
解題說明:
Here's a breakdown of why:
ROWGRANULARITY parameter: This parameter allows for row-level import processing, which can significantly improve performance for large datasets. By processing data at the row level, Data Pump can optimize resource utilization and reduce the overall import time.
The other options are less effective for optimizing performance and minimizing downtime:
A). The NETWORK_TIMEOUT parameter is primarily used for network-related timeouts and doesn't directly impact import performance.
B). The STATISTICS parameter is used to gather detailed import statistics after the import is complete. While it can provide valuable information for analysis, it doesn't directly optimize performance during the import process.
D). The TRANSPORT_DATA parameter is used to specify whether table data should be included during the export or import operation. It's a mandatory parameter and doesn't directly impact performance.
問題 #38
A company needs to migrate a large, mission-critical database to a new Oracle Cloud environment. They prioritize minimizing downtime and maintaining high availability during the migration process. Which ZDM use case best aligns with these requirements?
- A. Consolidating multiple smaller databases into a single, centralized database.
- B. Moving a production database to the cloud with minimal application downtime.
- C. Migrating a development database for testing purposes.
- D. Upgrading an existing Oracle database version on the same platform.
答案:B
解題說明:
Here's a breakdown of why:
Mission-critical database migration: The goal is to move a critical production database to the cloud while minimizing downtime and maintaining high availability. This aligns perfectly with the use case of migrating a production database to the cloud.
The other options are less relevant:
A). Migrating a development database is a different use case, as it doesn't involve a production database.
B). Upgrading a database version on the same platform is not a migration to the cloud.
C). Consolidating multiple databases is a different use case focused on reducing complexity and cost.
問題 #39
In the ZDM workflow, which of the following activities typically occurs after the initial full data load but before cutover to the target database?
- A. Schema conversion and data transformation on the source database.
- B. Testing functionality and performance of the migrated database.
- C. Enabling GoldenGate for real-time data replication to the target.
- D. Performing a rolling migration of individual database partitions.
答案:B
解題說明:
Here's a breakdown of why:
Testing and validation: After the initial full data load, it's crucial to thoroughly test the migrated database to ensure that the data has been transferred correctly and that the database is functioning as expected. This involves testing various scenarios, including data integrity, query performance, and application functionality.
The other options are not typically performed after the full data load but before cutover:
A). Schema conversion and data transformation are typically done before the full data load.
B). GoldenGate for real-time data replication is often enabled after cutover to the target database.
D). Rolling migration of individual partitions is usually done during or after cutover, depending on the specific ZDM strategy.
問題 #40
which of the following considerations is NOT directly relevant for seamless integration?
- A. Network configuration for secure communication between on-premises and the OCI multi-tenant environment
- B. User and schema management strategies for access control across migrated databases
- C. Compatibility of source and target database versions within the same Container Database (CDB)
- D. Resource allocation and isolation between migrated databases within the CPDB
答案:A
解題說明:
Here's why:
CDB Isolation: A CDB is a logical grouping of multiple pluggable databases (PDBs) that are isolated from each other. This means that network configuration between the CDB and external systems is not directly relevant for seamless integration within the CDB itself.
Internal Communication: Within a CDB, communication between PDBs is handled internally, without the need for external network configuration.
While the other options are directly relevant for seamless integration within a CDB:
a) Compatibility of source and target database versions within the same Container Database (CDB): Ensuring compatibility prevents issues related to data corruption and functionality.
b) Resource allocation and isolation between migrated databases within the CPDB: Proper resource allocation and isolation are crucial for preventing performance bottlenecks and ensuring security.
c) User and schema management strategies for access control across migrated databases: Effective user and schema management is essential for maintaining security and preventing unauthorized access
問題 #41
In the context of Data Pump import with schema remapping, what does the REMAP_SCHEMA parameter facilitate?
- A. Filtering specific data records based on user-defined criteria during import.
- B. Migrating user accounts and their associated privileges to the target database.
- C. Renaming tables and other database objects during the import process.
- D. Mapping data types between source and target databases to ensure compatibility.
答案:C
解題說明:
The REMAP_SCHEMA parameter in Data Pump is used to change the schema name of database objects during the import process. This allows you to rename tables, views, indexes, and other schema objects when migrating data from one schema to another.
Here's an example of how to use the REMAP_SCHEMA parameter:
SQL
impdp username/password DIRECTORY=DATA_PUMP_DIR DUMPFILE=dumpfile.dmp REMAP_SCHEMA=source_schema:target_schema This command will import all objects from the source_schema schema, but the schema name will be changed to target_schema on the target database.
問題 #42
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