1z0-1093-25 Exam Dumps - Oracle Cloud Database Services 2025 Professional

Managing Exadata Infrastructure:

OCI Console and APIs (B):The primary method for managing Exadata Infrastructure is through theOracle Cloud Infrastructure Consoleand associated APIs. This includes provisioning, scaling, patching, and monitoring the Exadata environment.

Oracle-Managed Infrastructure (E):Exadata Infrastructure management is fully handled by Oracle, which means customers do not have direct access to the underlying hardware. This managed approach ensureshigh availability and security.

Why the other options are incorrect:

A:Customers do not have root access to Exadata compute nodes to ensure security and system integrity.

C:Thedbcli utilityis designed for VM DB Systems, not Exadata Infrastructure management.

D:Exadata storage cells are managed by Oracle, and customers cannot directly modify storage configurations.

Secure Transfer with OCI Data Transfer Service:

TheOCI Data Transfer Serviceis designed to securely transfer large datasets, including database backups, to the cloud. It involves:

Using physical storage appliancesto copy data locally and then shipping these devices to OCI data centers.

Data isencrypted and securely transported, minimizing the risks associated with online transfers.

This method is cost-effective and practical forterabytes or petabytes of data, avoiding bandwidth limitations and reducing transfer time.

Why the other options are incorrect:

A:FTP over the public internet is insecure and slow.

B:Physical hard drives without encryption and secure handling increase data breach risks.

D:SCP over VPN is secure but impractical for extremely large datasets.

E:Data Pump is useful for database-to-database transfers, not large file migrations.

B. Using Data Guard for physical standby and switchover:

This method enablesminimal downtimemigration.

Steps:

Configure Data Guard to synchronize thestandby databasewith the primary on-premises database.

Once synchronized, perform aswitchoverto make the standby the new primary.

Downtime is limited to the switchover duration.

This approach leveragesreal-time replicationto minimize disruption.

Why the other options are incorrect:

A. Export/Import with Data Pump:Too time-consuming for large databases.

C. Full backup and restore:High downtime due to the time required for data transfer and restoration.

D. Copying via SQL Developer:Not feasible for mission-critical and large databases due to slow transfer speeds.

Reasoning:

TheDatabase Management Servicecan collect performance metrics from databases across different regions within the same OCI tenancy. Therefore, the geographic location of the service relative to the database isnot a common issue.

More Likely Causes:

A:IAM policies that do not grant sufficient permissions are a common issue.

B:If the database is offline, no metrics can be collected.

D:A locked database user account used by the Management Agent will prevent data collection.

Why C is incorrect:

The Database Management Service can be configured to collect metrics from databasesacross regions, as long as network access and permissions are properly configured.

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.

AutoML in MySQL HeatWave:

TheAutoML featurein MySQL HeatWave integratesmachine learning capabilitiesdirectly within the database, allowing users to:

Build, train, and deploy modelswithout moving data to external systems.

Automate the entire ML pipeline, includingdata preprocessing, model selection, and hyperparameter tuning.

This makes it easier for data engineers and analysts to performpredictive analyticswithout requiring data science expertise.

Why the other options are incorrect:

A:AutoML does not focus on server tuning; it focuses on machine learning.

C:Generating SQL queries from natural language is not within AutoML’s scope.

D:AutoML is unrelated to database backup.

E:Visualization is not the primary function; it focuses on model building.

Backup Retention Policy:

When aBaseDB system is terminated, automatic backups are not immediately deleted. Instead, they remain stored inOCI Object Storagefor the duration specified by thebackup retention policythat was configured at the time of database creation.

This approach ensures that data can be recovered even after the database instance itself is terminated.

Administrators can manually delete backups if they are no longer needed, but they arenot automatically purged.

Why the other options are incorrect:

A:Backups are not deleted instantly upon termination.

B:All backups are retained as per the policy, not just the most recent.

D:No automatic migration to archive tier occurs.

E:Backup retention settings are defined during provisioning, but not dynamically configurable after termination.

D. Dropping the entire table:

Deleting a table is adestructive operationthat permanently removes the data.

Requires the highest level of permissions due to the potential fordata lossand disruption.

Usually restricted toadministrators or highly privileged users.

Why the other options are incorrect:

A. Simple read operation:Basic permission, often granted to most users.

B. Inserting a row:Requires write permissions, but not as critical as table deletion.

C. Updating a row:Similar to insertion, modifies existing data but does not destroy the table.