Oracle - 1z0-1093-25 - Oracle Cloud Database Services 2025 Professional Authoritative Reliable Exam Questions

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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	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	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 4	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 5	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.

Oracle Cloud Database Services 2025 Professional Sample Questions (Q43-Q48):

NEW QUESTION # 43
What is the MOST effective method to minimize the recovery time objective (RTO) for a BaseDB database in the event of a complete DB system failure, assuming both cost and complexity are important considerations?

A. Relying solely on regular full database backups.
B. Using Oracle Data Guard with asynchronous replication to a different availability domain within the same region.
C. Using Oracle Data Guard with synchronous replication to a remote region.
D. Performing frequent incremental backups with block change tracking enabled.
E. Implementing a custom script to regularly copy data files to a secondary block volume.

Answer: B

Explanation:
C: Using Oracle Data Guard with asynchronous replication to a different availability domain within the same region.
Asynchronous Replication:
* Minimizes performance impact while ensuring data protection.
* Placing standby in the same region reduces latency and cost.
* Fast switchover reduces RTO.
Why the other options are less effective:
* A. Full backups:Time-consuming for recovery.
* B. Synchronous to a remote region:Increases latency and cost.
* D. Incremental backups:Slower recovery process.
* E. Custom script:Complex and less reliable than Data Guard.

NEW QUESTION # 44
In comparing NoSQL databases with relational databases, what constitutes a fundamental difference in their approach to data relationships?

A. Relational databases offer no mechanism for defining relationships between different data sets.
B. NoSQL databases universally lack the ability to represent relationships between data elements.
C. Relational databases primarily rely on foreign keys to define relationships, while NoSQL databases often embed related data within a single document or use application-level links.
D. NoSQL databases exclusively use foreign keys to establish relationships, similar to relational database models.

Answer: C

Explanation:
B: Relational vs. NoSQL data relationships:
* Relational Databases:Useforeign keysto establish relationships between tables, maintaining referential integrity.
* NoSQL Databases:Typically do not enforce relationships through foreign keys. Instead, they:
* Embed related datawithin a single document (common in document stores like MongoDB).
* Useapplication-level joinsto link related data (common in key-value or column-family stores).
* Graph databases (a type of NoSQL) useedgesto explicitly represent relationships between nodes.
* This difference highlights theflexibility vs. consistencytrade-off between NoSQL and relational databases.
Why the other options are incorrect:
* A. NoSQL databases lack relationships:Incorrect; they handle relationships differently.
* C. NoSQL using foreign keys exclusively:NoSQL databases generally do not enforce such relationships.
* D. Relational databases lack relationship mechanisms:Incorrect as relational databases are designed around relationships.

NEW QUESTION # 45
Which two of the following options are valid statements regarding the management of the operating system on a Base Database Service Virtual Machine DB System?

A. Oracle manages the underlying operating system patching and updates, ensuring the system remains secure and compliant.
B. Customers are responsible for the security and maintenance of the operating system, including applying necessary patches and updates.
C. Customers have full root access to the underlying operating system of the Virtual Machine DB System, allowing for customization and installation of custom software.
D. Direct SSH access to the underlying VM is restricted, and all OS-level operations must be performed through the Web Console.
E. Customers are responsible for the initial OS installation, but then patching is controlled entirely by Oracle.

Answer: B,C

NEW QUESTION # 46
Which statement is FALSE regarding the relationship between provisioned throughput and workload characteristics in NoSQL Database Cloud Service?

A. A write-heavy workload typically necessitates more write capacity units than a read-heavy workload.
B. Higher query complexity generally requires higher read throughput.
C. Increased frequency of table scans reduces the throughput needed.
D. Larger average record sizes usually demand higher read and write capacity units.

Answer: C

Explanation:
Understanding Throughput in NoSQL:
Throughput in NoSQL databases is influenced by factors likequery complexity, workload type (read/write), and record size.
* Higher query complexity (A):Complex queries involving aggregation or joins consume more read capacity.
* Write-heavy workload (B):Writes inherently require more capacity units due to data modification and consistency checks.
* Larger record sizes (D):More data per operation increases the read/write capacity needed.
Why C is incorrect:
* C:Table scans involve reading large volumes of data, which increases throughput requirements rather than reducing them. Frequent table scans can overwhelm the system, especially with large datasets.

NEW QUESTION # 47
How does HeatWave address the challenges of Online Analytical Processing (OLAP) compared to traditional row-based database systems?

A. HeatWave employs a columnar data format in memory, enabling faster scans and aggregations for complex queries.
B. HeatWave leverages AI-powered indexing to optimize the data retrieval.
C. HeatWave leverages a distributed caching mechanism to store frequently accessed data.
D. HeatWave automatically shards the database to distribute the workload across multiple nodes.
E. HeatWave uses a specialized indexing technique to speed up data retrieval.

Answer: A

Explanation:
HeatWave's Columnar Processing:
HeatWave improves OLAP performance by storing data in acolumnar formatin memory. This format is particularly efficient foranalytical queriesbecause:
* It minimizes the amount of data read by only scanning thenecessary columns.
* Columnar storage supportsvectorized processing, which significantly speeds up aggregation operations.
* Beingin-memory, it eliminates disk I/O bottlenecks, crucial for high-speed analytics.
Why the other options are incorrect:
* A:Indexing is useful, but columnar storage is the primary driver of speed.
* C:Caching improves access times but does not address the fundamental OLAP challenge of processing large datasets.
* D:HeatWave distributes workload usingparallel processing, not simple sharding.
* E:AI-powered indexing is not a core feature of HeatWave.

NEW QUESTION # 48
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ORACLE - 1Z0-1093-25 - ORACLE CLOUD DATABASE SERVICES 2025 PROFESSIONAL AUTHORITATIVE RELIABLE EXAM QUESTIONS

Oracle - 1z0-1093-25 - Oracle Cloud Database Services 2025 Professional Authoritative Reliable Exam Questions