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Oracle 1z0-1093-25 Exam Syllabus Topics:

Topic	Details
Topic 1	Base Database Service - VM (BaseDB): This section of the exam measures the skills of a Cloud Database Administrator and covers the foundational elements of Oracle’s Base Database Service. It includes understanding what the BaseDB service is, how to provision and manage it, and lifecycle operations such as backups, recovery, patching, and upgrades. It also tests familiarity with monitoring and management interfaces used to control and observe the BaseDB environment.
Topic 2	MySQL HeatWave Technical Overview: This section of the exam measures the skills of a MySQL Cloud Specialist and introduces MySQL HeatWave, Oracle’s high-performance analytics engine for MySQL. It includes provisioning, migrating existing MySQL databases to HeatWave, and working with its analytical and machine-learning capabilities. It also covers day-to-day operational activities within the MySQL HeatWave environment.
Topic 3	NoSQL Database Service Technical Overview: This section of the exam measures the skills of a NoSQL Developer and explores Oracle’s NoSQL Database Service. It includes understanding the basics of NoSQL architecture, handling table-level security, rate limiting, and data modeling. It also covers concepts like provisioned throughput and the usage of language SDKs for interacting with NoSQL services on Oracle Cloud.
Topic 4	Exadata Database Service (ExaDB): This section of the exam measures the skills of a Database Infrastructure Engineer and focuses on the advanced Exadata Database Service. It includes the provisioning of Exadata systems, management of Exadata Cloud Infrastructure, and VM Cluster administration. It also evaluates knowledge of lifecycle management tasks and how to interact with various Exadata management utilities and interfaces.
Topic 5	Oracle Cloud Infrastructure Database Management Service: This section of the exam measures the skills of a Cloud Operations Analyst and provides insight into Oracle’s Database Management Service on OCI. It focuses on enabling the service for databases, monitoring their performance, and performing diagnostic and tuning activities. It also covers tasks related to the administration of databases running on Oracle Cloud Infrastructure.

Oracle Cloud Database Services 2025 Professional Sample Questions (Q56-Q61):

NEW QUESTION # 56
When considering autoscaling for provisioned throughput in NoSQL Database Cloud Service, which metric is LEAST relevant for determining when to scale up the capacity units?

A. Latency of read and write operations.
B. Number of rejected read requests due to insufficient RCUs.
C. Number of rejected write requests due to insufficient WCUs.
D. CPU utilization of the compute instances hosting the database.

Answer: D

Explanation:
A: CPU utilization of the compute instances hosting the database:
* Autoscaling in NoSQL Database Cloud Service primarily focuses onRCUs (Read Capacity Units)and WCUs (Write Capacity Units).
* The objective is to dynamically adjust capacity based onquery workload, not onCPU utilization.
* Even if CPU usage is high, it might not necessarily indicate that the capacity units are inadequate.
Why the other options are more relevant:
* B. Rejected read requests (RCUs):Direct indicator that read capacity is insufficient, requiring scaling.
* C. Rejected write requests (WCUs):Indicates that the write throughput is inadequate, necessitating scaling.
* D. Latency of read and write operations:Increased latency often points to under-provisioned throughput.

NEW QUESTION # 57
What is the primary processing paradigm employed by the HeatWave query accelerator for analytical workloads?

A. Key-value pair processing
B. Row-based processing
C. Columnar processing
D. Disk-based processing
E. Index-based processing

Answer: C

Explanation:
HeatWave's Processing Model:
HeatWave usescolumnar in-memory processingto optimize analytical workloads. Storing data in columns rather than rows allows HeatWave toprocess large datasets efficiently, reducing the volume of data scanned and improving query performance. This is crucial for OLAP operations that involveaggregating and analyzing data.
Why the other options are incorrect:
* A:Row-based processing is typical for OLTP workloads, not analytical.
* B:HeatWave operates primarily in memory, not disk.
* D:Indexing enhances performance but is not the primary processing paradigm.
* E:Key-value processing is typical in NoSQL databases, not analytical systems.

NEW QUESTION # 58
Which of the following is the recommended approach for migrating a large, mission-critical database from an on-premises Exadata system to Exadata Database Service with minimal downtime?

A. Using SQL Developer to copy the data over a VPN connection.
B. Performing a full backup and restore to a new Exadata Database Service instance.
C. Creating a physical standby database using Data Guard and switching over to the standby in OCI.
D. Traditional export/import using Data Pump over a public network.

Answer: C

Explanation:
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.

NEW QUESTION # 59
Which two statements accurately describe the relationship between Database Management and metrics collected in OCI Monitoring service?

A. Database Management retrieves performance data exclusively from the OCI Monitoring service and does not directly query the database.
B. Database Management's data collection is completely independent of the OCI Monitoring service.
C. Database Management directly queries the database for detailed performance data and supplements it with metrics from the OCI Monitoring service.
D. Database Management relies on custom metrics uploaded to OCI Monitoring by the user in order to provide its monitoring features.

Answer: B,C

Explanation:
B:Database Management directly queries the database to gather performance data, such as SQL performance and active session history. It also integrates with OCI Monitoring for infrastructure-level metrics like CPU, memory, and storage utilization.
C:Database Management can function independently of OCI Monitoring since it has its own data collection mechanisms.
Why the other options are incorrect:
* A:Database Management does not rely solely on OCI Monitoring.
* D:It does not require custom metrics from the user.

NEW QUESTION # 60
Which characteristic is MOST indicative of an Oracle Cloud Infrastructure (OCI) Base Database Service (BaseDB) virtual machine (VM) deployment compared to using Autonomous Database?

A. Automatic scaling of compute and storage resources based on workload demands.
B. Direct control over the operating system and database configuration.
C. Automated patching and upgrades handled by Oracle.
D. Shared Exadata infrastructure with other tenants for cost optimization.

Answer: B

Explanation:
Direct Control in BaseDB VM:
In aBaseDB VM deployment, users haveroot-level access to the operating systemand can directly manage the database configuration. This contrasts withAutonomous Database, where Oracle handles most administrative tasks, including patching and resource scaling.
* BaseDB VM offersflexibility for custom configurationsand control overOS-level operations.
* This is particularly useful for environments requiringcustom scripts, configurations, or database tuning.
Why the other options are incorrect:
* A:Autonomous Database features automatic patching, not BaseDB VM.
* B:Exadata infrastructure is typically associated withAutonomous Databaserather than VM-based BaseDB.
* D:Automatic scaling is a feature of Autonomous Database, not BaseDB.

NEW QUESTION # 61
......

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1Z0-1093-25 DUMPS DOWNLOAD | 1Z0-1093-25 TEST VCE FREE

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