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NEW QUESTION # 41
Which two statements are accurate regarding the placement of VM Clusters within an Exadata Cloud Infrastructure?
Answer: A,B
Explanation:
B: Multiple VM Clusters within a single Exadata Infrastructure:
* Multiple clusters can coexist, each isolated for specific workloads.
* Supports resource optimization and isolation.
E: Sharing a single VCN:
* VM Clusters within the same Exadata Infrastructure can be configured to use the same Virtual Cloud Network (VCN), streamlining network management.
Why the other options are incorrect:
* A. Only one VM Cluster:Incorrect as multiple clusters are supported.
* C. Spanning multiple infrastructures:VM Clusters do not span Exadata Infrastructures; they are confined to a single infrastructure.
* D. Dedicated VCN for each cluster:Unnecessary, as clusters can share a VCN.
NEW QUESTION # 42
In the context of BaseDB Database Lifecycle Management, what is the primary purpose of a "pre-check" utility before applying a patch or upgrading the database?
Answer: C
Explanation:
Purpose of Pre-Check Utility:
Thepre-check utilityin BaseDB ensures that thedatabase environment is readyfor the upcoming patch or upgrade. It checks for:
* Compatibility issueswith the existing software and configurations.
* Resource availability(like CPU, memory, and storage).
* Dependencies and prerequisitesneeded for a successful upgrade.By identifying potential conflicts in advance, pre-checksminimize the risk of upgrade failuresand reduce downtime.
Why the other options are incorrect:
* A:Backup is a separate process.
* C:Pre-check does not install or validate in a test environment.
* D:Performance optimization happens post-upgrade.
* E:Data migration is unrelated to the pre-check process.
NEW QUESTION # 43
Which two metrics are available for monitoring within the Performance Hub's Real-Time SQL Monitoring feature in Database Management?
Answer: A,D
Explanation:
Performance Hub Real-Time SQL Monitoring:
ThePerformance Hubin Oracle Database Management provides detailed real-time monitoring of SQL queries, including:
* Physical Reads (A):Measures the number of physical I/O operations performed by a SQL statement.
* Average Active Sessions (B):Reflects the number of sessions actively performing database operations, giving insights into workload and bottlenecks.
These metrics help database administratorsanalyze query performanceand detect issues in real-time.
Why the other options are incorrect:
* C:Number of CPUs is a hardware metric, not part of SQL monitoring.
* D:Database version is static information, not a performance metric.
NEW QUESTION # 44
Which of the following characteristics is most indicative of a NoSQL database's focus on scalability and availability over strict consistency?
Answer: C
Explanation:
C: Partitioning and replication of data across multiple nodes:
* NoSQL databases typically prioritizehorizontal scalabilityby distributing data across multiple nodes.
* Replicationensures data availability even if one node fails.
* This approach leads toeventual consistencyrather than strict ACID compliance.
* The system can continue to operate despite some nodes being offline, maintaining high availability.
Why the other options are incorrect:
* A. Complex joins and transactions:Typical of relational databases prioritizing consistency.
* B. Strict referential integrity:More common in SQL databases requiring ACID transactions.
* D. Centralized architecture:Opposite of scalable, distributed NoSQL models.
NEW QUESTION # 45
Which data formats are directly supported by the HeatWave Lakehouse feature for querying data in object storage?
Answer: B
Explanation:
C: CSV, Parquet, and Avro files:
* HeatWave Lakehousecan directly query data stored inOCI Object Storagewithout loading it into MySQL.
* Supports widely-used data formats:
* CSV (Comma Separated Values): Simple, text-based data format.
* Parquet: Columnar storage format optimized for analytical queries.
* Avro: Row-oriented format used for data serialization.
* This versatility allows integrating data from various sources and querying directly.
Why the other options are incorrect:
* A. Only CSV files:HeatWave supports more than just CSV.
* B. Only Parquet files:HeatWave also supports CSV and Avro.
* D. Only JSON files:JSON is not directly supported by HeatWave Lakehouse.
* E. Only XML files:XML is not directly supported.
NEW QUESTION # 46
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