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Oracle 1z0-1093-25 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 3

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 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

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.

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Oracle Cloud Database Services 2025 Professional Sample Questions (Q15-Q20):

NEW QUESTION # 15
You are tasked with monitoring the I/O performance of an Exadata Database Service (ExaDB) using the exadcli utility. You need to retrieve detailed statistics on Smart Flash Cache usage, including read and write operations, at the storage cell level. Which exadcli command will provide the most comprehensive information?

A. exadcli list metriccurrent -cell -metricname "cell.*"
B. exadcli list metricdetail -cell -metricname "flashcache.*"
C. exadcli list metriccurrent -cell -metricname "IOPS,MBPS"
D. exadcli list metrichistory -cell -metricname "flashcache_read_iops,flashcache_write_iops"

Answer: B

Explanation:
Detailed Flash Cache Monitoring:
The commandexadcli list metricdetail -cell -metricname "flashcache.*"provides acomprehensive overviewof all metrics related toSmart Flash Cache. This includes bothread and write operations, hit ratios, and IOPS statistics.
* Themetricdetailoption retrieves in-depth data, crucial for performance troubleshooting.
* Theflashcache.*wildcard captures all relevant metrics associated with the Flash Cache subsystem.
Why the other options are incorrect:
* A:Limited to current IOPS and throughput, not specifically flash cache.
* C:Too broad, as it includes general cell metrics.
* D:Focuses only on historical read/write IOPS, not comprehensive.

NEW QUESTION # 16
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. Number of rejected read requests due to insufficient RCUs.
B. Latency of read and write operations.
C. CPU utilization of the compute instances hosting the database.
D. Number of rejected write requests due to insufficient WCUs.

Answer: C

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 # 17
What is the primary purpose of installing and configuring the Oracle Management Agent when enabling Database Management Service for a cloud database on a Compute instance?

A. To automate database patching and upgrades.
B. To handle database backups and recovery operations.
C. To provide a secure communication channel between the Database Management Service and the database.
D. To manage the underlying operating system of the Compute instance.

Answer: C

Explanation:
A: Secure Communication Channel:
* The Oracle Management Agent acts as a bridge between theDatabase Management Serviceand the database.
* Enables secure data collection, monitoring, and performance analysis.
* Uses encryption to protect data during transmission.
* Facilitates monitoring, alerting, and management through OCI services.
Why the other options are incorrect:
* B. Backup and recovery operations:These are typically handled by backup tools, not the management agent.
* C. OS management:The agent does not manage the operating system itself.
* D. Patching and upgrades:While it can assist, it is not specifically designed for patch management.

NEW QUESTION # 18
Which two of the following describe capabilities of the Database Management service in relation to database parameter management?

A. Database Management can automatically detect and correct parameter settings that deviate fromOracle- recommended best practices, regardless of the database edition.
B. Database Management does not offer parameter management capabilities due to security concerns.
C. Database Management provides recommendations for parameter tuning based on historical performance data.
D. Database Management facilitates comparing parameter settings between different databases or across different points in time for a single database.

Answer: C,D

Explanation:
B: Recommendations for parameter tuning:
* Database Management analyzes historical performance data and provides tuning recommendations.
* These recommendations align with Oracle best practices to optimize database performance.
C: Comparison of parameter settings:
* The service allows users to compare parameter configurations between different databases or across time points for a single database.
* This is useful for identifying changes or discrepancies that could impact performance.
Why the other options are incorrect:
* A. Automatic correction of parameters:Database Management does not automatically correct parameters; changes require manual intervention.
* D. Lack of parameter management:Incorrect statement, as the service does offer parameter management features.

NEW QUESTION # 19
Which statement BEST describes the primary architectural distinction between Exadata Database Service and a traditional Oracle Database deployed on virtual machines in the cloud?

A. Exadata Database Service utilizes only virtualized compute nodes, while traditional deployments use bare metal.
B. Exadata Database Service exclusively supports Oracle RAC, while traditional cloud deployments can support both single-instance and RAC databases.
C. Exadata Database Service uses a completely different SQL parsing engine compared to a traditional Oracle Database.
D. Exadata Database Service integrates specialized, high-performance storage servers and a high- bandwidth, low-latency RDMA over Converged Ethernet (RoCE) network, optimized for database workloads, which are not present in typical cloud VM deployments.

Answer: D

Explanation:
Exadata's Unique Architecture:
Exadata Database Service is engineered specifically for Oracle Database workloads. The architecture leverages specialized storage servers that performdata-intensive operations at the storage level(such as filtering and aggregation), reducing the amount of data sent to the compute nodes.
TheRoCE network(RDMA over Converged Ethernet) provides high-bandwidth, low-latency connectivity between compute and storage nodes, significantly enhancing I/O performance. This architecture is optimized for bothOLTP and OLAP workloads, making Exadata a superior choice for performance-critical applications.
Why the other options are incorrect:
* A:Exadata combines both virtualized and bare metal compute nodes.
* C:Both Exadata and traditional cloud deployments can support Oracle RAC, but Exadata is optimized for it.
* D:Exadata uses the same Oracle Database SQL parsing engine; the difference lies in the optimized hardware.

NEW QUESTION # 20
......

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