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[General] Exam Questions For Oracle 1z0-1093-25 [Revised] - The Best Method To Pass The Ex

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【General】 Exam Questions For Oracle 1z0-1093-25 [Revised] - The Best Method To Pass The Ex

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Oracle 1z0-1093-25 Exam Syllabus Topics:
TopicDetails
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
  • 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 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
  • 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 (Q61-Q66):NEW QUESTION # 61
How does the HeatWave Lakehouse capability extend the analytical capabilities of MySQL HeatWave?
  • A. By creating a separate data warehouse in the cloud to store historical data.
  • B. By automatically replicating the MySQL database to a disaster recovery site.
  • C. By providing a graphical user interface for managing the MySQL database.
  • D. By enabling HeatWave to query data directly from object storage (e.g., Oracle Cloud Infrastructure Object Storage, Amazon S3) in various formats without requiring data loading.
  • E. By providing a built-in ETL (Extract, Transform, Load) tool for data integration.
Answer: D
Explanation:
B: Querying data directly from object storage without data loading:
* HeatWave Lakehouse extends MySQL HeatWave by allowing direct query execution on data stored in external object storage.
* Supports formats such asCSV,Parquet, andAvro.
* Eliminates the need for data import, making the process faster and more efficient for large datasets.
* Enhances HeatWave's capability to act as aLakehouseby unifying data warehousing and data lake functionalities.
Why the other options are incorrect:
* A. GUI for database management:Not related to analytical extension.
* C. Disaster recovery replication:Not related to Lakehouse functionality.
* D. Built-in ETL toolakehouse focuses on query capability, not ETL.
* E. Separate data warehouse:HeatWave Lakehouse queries data in-place, not creating a separate warehouse.

NEW QUESTION # 62
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 manage the underlying operating system of the Compute instance.
  • C. To handle database backups and recovery operations.
  • D. To provide a secure communication channel between the Database Management Service and the database.
Answer: D
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 # 63
Which component aids in assessing the readiness of a MySQL instance for migration to MySQL HeatWave, specifically identifying potential compatibility issues?
  • A. MySQL Enterprise Monitor
  • B. Oracle SQL Developer
  • C. MySQL Workbench
  • D. MySQL Shell Upgrade Checker Utility
  • E. Oracle Cloud Advisor
Answer: D
Explanation:
C: MySQL Shell Upgrade Checker Utility:
* The utility analyzes MySQL instances for compatibility with newer versions, such as MySQL 8.0 used by HeatWave.
* It checks for:
* Syntax differences
* Data type mismatches
* Deprecated features
* The tool outputs a report highlighting issues that may impact migration to HeatWave.
Why the other options are incorrect:
* A. MySQL Enterprise Monitor:Focuses on monitoring performance, not compatibility.
* B. Oracle SQL Developerrimarily used for database development, not upgrade checks.
* D. Oracle Cloud Advisorrovides cloud optimization recommendations, not MySQL compatibility checks.
* E. MySQL Workbench:A visual tool for database design and administration, not specifically for upgrade assessment.

NEW QUESTION # 64
What are the two primary dimensions typically governed by table rate limits in Oracle NoSQL Database Cloud Service?
  • A. CPU utilization and memory consumption.
  • B. Read throughput and write throughput.
  • C. Storage capacity and network bandwidth.
  • D. Number of indexes and query complexity.
Answer: B
Explanation:
Rate Limiting in NoSQL:
In Oracle NoSQL Database Cloud Service, rate limiting primarily controlsread and write throughput. This means defining themaximum number of read and write operations per secondthat a table can handle.
The goal is toprevent a single table from consuming excessive resources, ensuringfair allocationand system stability.
Why the other options are incorrect:
* A:Storage capacity is managed via quotas, not rate limits.
* C:CPU and memory are related to system resources, not table operations.
* D:Indexing and query complexity are managed differently, often via query optimization.

NEW QUESTION # 65
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 write requests due to insufficient WCUs.
  • B. CPU utilization of the compute instances hosting the database.
  • C. Number of rejected read requests due to insufficient RCUs.
  • D. Latency of read and write operations.
Answer: B
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)irect 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 # 66
......
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