Pass Guaranteed Professional Oracle - 1z0-1093-25 Real Exam
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Oracle Cloud Database Services 2025 Professional Sample Questions (Q96-Q101):
NEW QUESTION # 96
Which database lifecycle management operation in BaseDB requires the creation of a new database home and is non-reversible after completion?
- A. Upgrading the Oracle Database software version.
- B. Upgrading the Oracle Grid Infrastructure.
- C. Scaling the compute shape of the VM.
- D. Applying an operating system patch.
- E. Enabling Automatic Storage Management (ASM).
Answer: A
Explanation:
Database Software Upgrade:
When upgrading theOracle Database software versionon aBaseDB VM, a newOracle Homeis created to house the upgraded software. Once the database is moved to this new home, the process isnot easily reversible.
* Rolling back would requiredowngrading, which is a complex and risky process.
* The new Oracle Home ensures that the upgraded database environment isisolated from the previous version, preventing compatibility conflicts.
Why the other options are incorrect:
* A:Grid Infrastructure upgrades can be managed independently of the database upgrade.
* B:Scaling VMs is a reversible operation.
* D:OS patches do not impact the Oracle Home directly.
* E:ASM configuration changes are reversible.
NEW QUESTION # 97
Which statement accurately describes the function of the HeatWave service in relation to a standard MySQL database?
- A. HeatWave acts as a caching layer in front of MySQL, speeding up access to frequently accessed data.
- B. HeatWave provides an in-memory, massively parallel query accelerator to MySQL, improving analytical query performance.
- C. HeatWave is a clustering solution, where a single MySQL instance is split into multiple parts.
- D. HeatWave is a specialized version of MySQL designed solely for transactional workloads, optimized for high concurrency.
- E. HeatWave is a standalone database system that replaces MySQL, offering enhanced security features.
Answer: B
Explanation:
HeatWave as a Query Accelerator:
HeatWave enhances theMySQL Database Serviceby providing anin-memory, massively parallel query accelerator. It is specifically designed to speed upanalytical (OLAP) queries, making them run significantly faster compared to using MySQL alone.
* The system stores data in acolumnar formatand processes it in memory, utilizingdistributed, parallel processingto achieve high performance.
* Unlike traditional MySQL setups, HeatWave canexecute complex analytical workloadsefficiently.
Why the other options are incorrect:
* A:HeatWave is not a standalone database but an extension of MySQL.
* C:It is optimized foranalytical workloads, not transactional.
* D:It is more than just a caching layer; it actively processes queries.
* E:HeatWave clusters do not split MySQL instances but enhance query processing.
NEW QUESTION # 98
In comparing NoSQL databases with relational databases, what constitutes a fundamental difference in their approach to data relationships?
- A. NoSQL databases universally lack the ability to represent relationships between data elements.
- B. NoSQL databases exclusively use foreign keys to establish relationships, similar to relational database models.
- 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. Relational databases offer no mechanism for defining relationships between different data sets.
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 # 99
The concept of 'schema-less' in the context of NoSQL databases primarily refers to what?
- A. The database automatically infers the schema from the data being inserted, without requiring any explicit schema definition beforehand.
- B. Data is stored in a binary format, eliminating the need for any schema or data interpretation.
- C. All data stored within the database must conform to a single, universally defined schema for consistency.
- D. Data is stored in a highly structured format, mirroring the tabular structure of relational databases with predefined columns and data types.
Answer: A
Explanation:
Schema-less in NoSQL:
This means you don't need to define a rigid, fixed structure before data insertion. Each record can have its own structure, allowing flexibility for evolving data models. This is useful for unstructured or semi-structured data.
Why the other options are incorrect:
* B:This describes relational databases.
* C:This describes the structured nature of SQL databases.
* D:While binary formats may be used, schema-less refers to the logical, not physical, structure.
NEW QUESTION # 100
Which of the following characteristics is most indicative of a NoSQL database's focus on scalability and availability over strict consistency?
- A. Reliance on a centralized, single-instance architecture.
- B. Partitioning and replication of data across multiple nodes.
- C. Support for complex joins and transactions across multiple tables.
- D. Enforcement of strict referential integrity constraints.
Answer: B
Explanation:
C: Partitioning and replication of data across multiple nodes:
* NoSQL databases typically prioritizehorizontal scalabilityby distributing data across multiple nodes.
* Replicationensures data availability even if one node fails.
* This approach leads toeventual consistencyrather than strict ACID compliance.
* The system can continue to operate despite some nodes being offline, maintaining high availability.
Why the other options are incorrect:
* A. Complex joins and transactions:Typical of relational databases prioritizing consistency.
* B. Strict referential integrity:More common in SQL databases requiring ACID transactions.
* D. Centralized architecture:Opposite of scalable, distributed NoSQL models.
NEW QUESTION # 101
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