1z0-1093-25 Exam Dumps - Oracle Cloud Infrastructure Questions and Answers

Primary Distinction:

The primary difference betweenBaseDB on a VMandBare Metalis how the underlying hardware is allocated:

BaseDB on VM:The infrastructure issharedamong multiple tenants, using virtualization to isolate instances.

Bare Metal Database Service:The server'sphysical hardware is dedicatedexclusively to a single tenant, offeringmaximum performance and isolation.

This exclusive access to hardware in Bare Metal allows forbetter performanceand control compared to VM-based instances.

Why the other options are incorrect:

A:Binaries are not always pre-installed in both cases; it depends on the configuration.

B:Oracle handles hypervisor configuration, not the user.

D:Both VM and Bare Metal allow multiple database homes if configured properly.

VCN Requirement:

AVirtual Cloud Network (VCN)is essential for creating a BaseDB VM instance because itprovidesnetwork connectivityandIP addressing. Subnets and security rules define the access policies and network segmentation.

Without a VCN, the VM instance cannot communicate with other resources or external networks.

Why the other options are incorrect:

A:Data Guard can be configured after provisioning.

B:Backup policies are important but can be set up later.

D:Oracle GoldenGate replication is optional and not required at the time of provisioning.

Database Management Prerequisites:

To enable Database Management, the following are necessary:

A:The database must be running to collect metrics.

B:IAM policies must grant access to the management service.

D:The Oracle Management Agent must be configured to collect data.

However,automatic backupsare not a requirement for enabling Database Management, as the service focuses onperformance monitoring and management, not data recovery.

Why the other options are correct:

Ensuring the database is running and accessible is essential for monitoring.

Proper IAM policies are crucial for security and data access.

The Management Agent facilitates data collection.

B. Optimizing schema and indexes:

Efficient schema design reduces the number of read/write operations.

Proper indexing reduces the need to scan large data volumes, minimizing the number of read capacity units (RCUs) consumed.

This proactive approach helps stay within the provisioned rate limits, avoiding throttling.

Why the other options are incorrect:

A. Increasing storage capacity:Does not address the rate of operations, only storage volume.

C. Disabling encryption:Unwise due to security risks and does not significantly impact rate limits.

D. Consolidating data into one table:Likely increases the rate of operations, worsening the problem.

Using MySQL Replication for Minimal Downtime:

Replication allows forreal-time synchronizationbetween the source MySQL instance and theHeatWave instance. Once the replication catches up, performing aswitchoverto the HeatWave instance ensures minimal disruption.

This method is especially effective forlarge databases, as data is continuouslysynchronized during the migration process.

The switchover itself incurs minimal downtime as the applications are redirected to the new instance.

Why the other options are incorrect:

A:mysqldump and restore are time-consuming for large datasets.

B:Physical backup and restore are faster than logical, but still involve significant downtime.

D:Direct data file copying is risky and may cause data corruption.

E:ETL processes are typically slow and prone to data consistency issues.

A. Execute ADDM (Automatic Database Diagnostic Monitor) analysis on a historical workload:

Performance Hub allows users to analyze performance data collected over time.

ADDM analysis provides insights into performance bottlenecks and recommendations for tuning.

C. Identify blocking sessions that are impacting database performance:

Performance Hub helps identify active blocking sessions, enabling quick resolution of performance issues.

It provides real-time and historical data for better troubleshooting.

Why the other options are incorrect:

B. Modify database parameters:Performance Hub does not have the ability to change database configurations directly.

D. Upgrade the database:Upgrades are managed through other tools, such as Database Upgrade Assistant (DBUA).

C. OCI Monitoring with HeatWave specific metrics:

OCI Monitoring collects and visualizes detailed metrics related to HeatWave cluster operations.

Key metrics include:

Data load throughput

Data load latency

Memory and CPU utilization

These metrics help identify bottlenecks during data loading, allowing for proactive performance tuning.

Integrates withOCI Alarmsto notify administrators when thresholds are breached.

Why the other options are incorrect:

A. OCI Notifications:Sends alerts but does not collect performance metrics.

B. OCI Service Connector Hub:Moves data between services but does not provide direct performance insights.

D. OCI Streaming:Used for real-time data ingestion, not specifically for HeatWave monitoring.

E. OCI Functions:Executes serverless functions, not related to HeatWave metrics.

A. Automatically optimizing query execution plans for best performance.

Query Optimization:

Query optimization is handled by the database engine itself, not the SDK.

SDKs are primarily focused on providing an interface for data operations, not on internal query optimization.

Why the other options are typical SDK functions:

B. Constructing requests:SDKs facilitate building and sending data manipulation requests.

C. Serializing data:Converting data between application objects and database formats is a core SDK function.

D. Handling pagination:SDKs often include utilities to manage large result sets.

Schema-less in NoSQL:

This means you don't need to define a rigid, fixed structure before data insertion. Each record can have its own structure, allowing flexibility for evolving data models. This is useful for unstructured or semi-structured data.

Why the other options are incorrect:

B:This describes relational databases.

C:This describes the structured nature of SQL databases.

D:While binary formats may be used, schema-less refers to the logical, not physical, structure.

Trade-offs with NoSQL Databases:

NoSQL databases are designed toscale horizontallyby adding more nodes rather than scaling vertically by increasing hardware capacity. To achieve this scalability andhigh availability, NoSQL systems often adopt theBASE model(Basically Available, Soft state, Eventually consistent) rather than the strictACID model(Atomicity, Consistency, Isolation, Durability) typical of relational databases.

This means thatdata consistencymay be relaxed (eventual consistency) to allow faster reads and writes.

These characteristics make NoSQL suitable forlarge-scale, distributed systemsbut less ideal for applications requiringimmediate consistency, such as banking systems.

Why the other options are incorrect:

A:NoSQL does not guarantee stronger consistency than relational databases.

C:NoSQL typically does not offer superior data integrity for transactional workloads.

D:SQL-based querying is usually not available in NoSQL, as they often have their own query mechanisms.