LATEST STUDY 1Z0-1093-25 QUESTIONS, TEST 1Z0-1093-25 TUTORIALS

Latest Study 1z0-1093-25 Questions, Test 1z0-1093-25 Tutorials

Latest Study 1z0-1093-25 Questions, Test 1z0-1093-25 Tutorials

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Oracle 1z0-1093-25 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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.

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Oracle Cloud Database Services 2025 Professional Sample Questions (Q37-Q42):

NEW QUESTION # 37
Which statement accurately describes the inherent trade-offs often associated with choosing a NoSQL database over a traditional relational database?

  • A. NoSQL databases offer superior data integrity and reduced operational overhead compared to relational databases, making them ideal for transactional systems.
  • B. NoSQL databases typically sacrifice strict data consistency (ACID) to gain horizontal scalability and higher availability.
  • C. NoSQL databases universally guarantee stronger data consistency than relational databases, but at the expense of increased operational complexity.
  • D. NoSQL databases provide simplified querying capabilities using standard SQL, enhancing developer productivity and reducing the learning curve.

Answer: B

Explanation:
Trade-offs with NoSQL Databases:
NoSQL databases are designed toscale horizontallyby adding more nodes rather than scaling vertically by increasing hardware capacity. To achieve this scalability andhigh availability, NoSQL systems often adopt theBASE model(Basically Available, Soft state, Eventually consistent) rather than the strictACID model (Atomicity, Consistency, Isolation, Durability) typical of relational databases.
* This means thatdata consistencymay be relaxed (eventual consistency) to allow faster reads and writes.
* These characteristics make NoSQL suitable forlarge-scale, distributed systemsbut less ideal for applications requiringimmediate consistency, such as banking systems.
Why the other options are incorrect:
* A:NoSQL does not guarantee stronger consistency than relational databases.
* C:NoSQL typically does not offer superior data integrity for transactional workloads.
* D:SQL-based querying is usually not available in NoSQL, as they often have their own query mechanisms.


NEW QUESTION # 38
When migrating a MySQL instance to MySQL HeatWave, which method generally provides the MINIMAL downtime for large databases?

  • A. Copying the data files directly from the source instance to the HeatWave instance.
  • B. Using a third-party ETL tool to extract, transform, and load the data into the HeatWave instance.
  • C. Using mysqldump to create a logical backup and restoring it to the HeatWave instance.
  • D. Creating a physical backup using MySQL Enterprise Backup and restoring it to the HeatWave instance.
  • E. Utilizing MySQL replication to replicate data to the HeatWave instance and then performing a switchover.

Answer: E

Explanation:
Using MySQL Replication for Minimal Downtime:
Replication allows forreal-time synchronizationbetween the source MySQL instance and theHeatWave instance. Once the replication catches up, performing aswitchoverto the HeatWave instance ensures minimal disruption.
* This method is especially effective forlarge databases, as data is continuouslysynchronized during the migration process.
* The switchover itself incurs minimal downtime as the applications are redirected to the new instance.
Why the other options are incorrect:
* A:mysqldump and restore are time-consuming for large datasets.
* B:Physical backup and restore are faster than logical, but still involve significant downtime.
* D:Direct data file copying is risky and may cause data corruption.
* E:ETL processes are typically slow and prone to data consistency issues.


NEW QUESTION # 39
Which of the following best describes the primary purpose of table rate limiting within Oracle NoSQL Database Cloud Service?

  • A. To prevent a single table from consuming excessive resources, ensuring fair allocation and preventing performance degradation for other tables and users.
  • B. To automatically optimize table schema design for improved query performance.
  • C. To restrict the total amount of storage space a table can consume.
  • D. To enforce strict data consistency across all table partitions, ensuring ACID compliance.

Answer: A

Explanation:
Table Rate Limiting:
Table rate limiting ensures that no single table monopolizes system resources, maintainingoverall stability and performancein a multi-tenant environment. This feature is crucial for cloud services where numerous applications may share the same database infrastructure. It helps maintain fair access by capping the number of read/write operations per second.
Why the other options are incorrect:
* A:ACID compliance is achieved through consistency settings, not rate limiting.
* C:Schema optimization is not related to rate limiting.
* D:Rate limiting controls IOPS (Input/Output Operations Per Second), not storage space.


NEW QUESTION # 40
What role does the Exadata Storage Server Software play within the Exadata Database Service architecture?

  • A. It provides the operating system and management software for the database servers.
  • B. It manages the virtual machines hosting the database instances.
  • C. It acts as a load balancer distributing connections across the database instances.
  • D. It provides intelligent storage capabilities, including data filtering, compression, and encryption.

Answer: D

Explanation:
C: Intelligent Storage Capabilities:
* The Exadata Storage Server Software enhances data processing at the storage layer.
* Key features include:
* Smart Scan:Offloads SQL processing to storage.
* Compression:Reduces data size and improves I/O efficiency.
* Encryption:Protects data at rest.
* This software significantly boosts database performance by reducing data transfer to the compute nodes.
Why the other options are incorrect:
* A. VM management:Handled by OCI infrastructure.
* B. OS and management software:Not related to Exadata Storage Server Software.
* D. Load balancing:Handled by Oracle RAC or OCI load balancers.


NEW QUESTION # 41
Within the context of Exadata Database Service, what does scaling out primarily refer to?

  • A. Upgrading the version of the Oracle Database software.
  • B. Increasing the CPU core count of a single database server VM.
  • C. Adding additional database server VMs and storage servers to the Exadata system.
  • D. Expanding the amount of RAM available to a single database instance.

Answer: C

Explanation:
Scaling Out:
Scaling out in Exadata means increasing thenumber of database server VMs and storage serversto handle a larger workload. This is achieved byadding more compute nodesand storage cells, allowing the system to distribute database processingacross multiple nodes.
This horizontal scalability is ideal for environments with fluctuating workloads or growing data volumes. It improvesquery performance and fault tolerancesince data and workload are distributed across more hardware resources.
Why the other options are incorrect:
* A:Increasing CPU cores within a single VM is consideredscaling up.
* C:Upgrading the database software version is unrelated to scaling.
* D:Increasing RAM is also a form of scaling up, not scaling out.


NEW QUESTION # 42
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