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Oracle 1z0-1093-25 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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.
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
- 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 5
- 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.
Oracle Cloud Database Services 2025 Professional Sample Questions (Q56-Q61):
NEW QUESTION # 56
You need to implement a backup and recovery strategy for your MySQL HeatWave Database System. What is the recommended method for backing up and restoring your HeatWave cluster?
- A. Manually copying the data files from the HeatWave cluster's storage.
- B. Relying solely on MySQL replication to another MySQL instance.
- C. Using the MySQL Enterprise Backup tool directly on the HeatWave nodes.
- D. Using the OCI Object Storage service for storing manual database dumps.
- E. Utilizing OCI Database backups, which include both the MySQL Database System and the HeatWave cluster.
Answer: E
Explanation:
C: Utilizing OCI Database backups:
* Integrated withOracle Cloud Infrastructure (OCI), providing consistent and complete backups.
* Supports both theMySQL Database System and the HeatWave cluster, ensuring data integrity.
* Automates backup scheduling and retention policies.
* Facilitates easy restoration in case of data loss or corruption.
Why the other options are incorrect:
* A. Manual copying:Prone to errors and lacks consistency.
* B. Manual dumps to Object Storage:Labor-intensive and not automated.
* D. MySQL replication:Suitable for high availability, but not a substitute for regular backups.
* E. MySQL Enterprise Backup on nodes:Complex and not designed for HeatWave's distributed environment.
NEW QUESTION # 57
Which two statements are accurate regarding the lifecycle management of an Exadata VM Cluster?
- A. Patching the Exadata Infrastructure automatically patches the VM Cluster and databases.
- B. The VM Cluster's CPU core count can be dynamically scaled up or down without requiring a reboot.
- C. Modifying the shape of the Exadata Infrastructure automatically scales the VM Cluster resources proportionally.
- D. The VM Cluster can be independently stopped and started without impacting the underlying Exadata Infrastructure.
- E. The VM Cluster can be terminated independently, allowing reuse of the Exadata Infrastructure for a different VM Cluster.
Answer: D,E
Explanation:
A:Exadata VM Clusters can be managed independently from the Exadata Infrastructure. This means you can start or stop the cluster without affecting the infrastructure, which provides flexibility for maintenance and performance tuning.
E:The VM Cluster can be terminated without impacting the Exadata Infrastructure. This feature is useful when you want to reassign the infrastructure resources to a new or different cluster.
Why the other options are incorrect:
* B:While some adjustments might not need a reboot, core count scaling often requires restarting.
* C:Patching the infrastructure and the VM Cluster are separate processes.
* D:Changing the infrastructure shape does not automatically adjust VM Cluster resources. Manual reconfiguration is needed.
NEW QUESTION # 58
Which two statements accurately describe the relationship between Database Management and metrics collected in OCI Monitoring service?
- A. Database Management relies on custom metrics uploaded to OCI Monitoring by the user in order to provide its monitoring features.
- 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 retrieves performance data exclusively from the OCI Monitoring service and does not directly query the database.
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 # 59
When using the OCI Console, which two options are configurable during the initial provisioning of a MySQL HeatWave DB system?
- A. The storage size for the database.
- B. The name of the initial database user.
- C. The number of HeatWave nodes.
- D. The character set for the database.
- E. The MySQL version.
Answer: C,E
Explanation:
A: Number of HeatWave nodes:
* During provisioning, users specify the number of nodes to allocate for the HeatWave analytical workload.
* More nodes enable higher performance for large datasets.
B: MySQL version:
* The selected version affects compatibility and available features.
* Users can choose from supported versions likeMySQL 8.0.
Why the other options are incorrect:
* C. Character set:Typically configured after database creation.
* D. Storage size:While storage can be specified, it is not part of HeatWave-specific configuration.
* E. Initial database user:Managed post-provisioning, not as part of the initial setup.
NEW QUESTION # 60
Which two statements accurately describe the Database Management's Autonomous Database monitoring capability?
- A. Database Management offers comprehensive performance monitoring for Autonomous Databases, including CPU utilization, I/O statistics, active session history, and SQL performance analysis.
- B. Database Management can monitor Autonomous Databases, however, the retention period for performance data is shorter compared to that of non-Autonomous Databases.
- C. Database Management does not support monitoring Autonomous Databases without enabling advanced features in the Autonomous Database itself.
- D. Database Management provides real-time and historical performance data, but is limited to monitoring CPU utilization on Autonomous Databases.
Answer: A,B
Explanation:
Comprehensive Monitoring (C):
Database Management supportsdetailed performance monitoringfor Autonomous Databases, including metrics likeCPU usage, I/O statistics, and SQL performance data.
Data Retention Limitation (D):
Theretention period for performance dataon Autonomous Databases is typically shorter than that of manually managed databases due toautomated data management policies.
Why the other options are incorrect:
* A:Database Management covers more than just CPU monitoring.
* B:Monitoring does not require enabling additional features on the Autonomous Database.
NEW QUESTION # 61
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