Master Oracle 1Z0-1093-25 Exam with Reliable Practice Questions
Upgrade to PremiumIn a key-value NoSQL database, what is the primary mechanism for accessing data?
Correct : B
Data Access in Key-Value Stores:
A key-value database works by storing data as key-value pairs. The primary access method involves:
Providing a unique key to quickly retrieve the associated value.
This model is highly efficient for simple lookups and data retrieval where the key is known.
Due to its simplicity and speed, it is commonly used for caching and session management.
Why the other options are incorrect:
A: SQL queries are used in relational databases, not key-value stores.
C: Traversing nodes is typical in graph databases.
D: Scanning all documents is inefficient and not the primary method in key-value stores.
Oracle NoSQL Key-Value Store
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In a BaseDB environment configured with automatic backups, what happens to the automatic backups when the DB system is terminated?
Correct : C
Backup Retention Policy:
When a BaseDB system is terminated, automatic backups are not immediately deleted. Instead, they remain stored in OCI Object Storage for the duration specified by the backup retention policy that was configured at the time of database creation.
This approach ensures that data can be recovered even after the database instance itself is terminated.
Administrators can manually delete backups if they are no longer needed, but they are not automatically purged.
Why the other options are incorrect:
A: Backups are not deleted instantly upon termination.
B: All backups are retained as per the policy, not just the most recent.
D: No automatic migration to archive tier occurs.
E: Backup retention settings are defined during provisioning, but not dynamically configurable after termination.
Oracle BaseDB Backup Management
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Which two options correctly describe methods for accessing and managing the Exadata Infrastructure?
Correct : B, E
Managing Exadata Infrastructure:
OCI Console and APIs (B): The primary method for managing Exadata Infrastructure is through the Oracle Cloud Infrastructure Console and associated APIs. This includes provisioning, scaling, patching, and monitoring the Exadata environment.
Oracle-Managed Infrastructure (E): Exadata Infrastructure management is fully handled by Oracle, which means customers do not have direct access to the underlying hardware. This managed approach ensures high availability and security.
Why the other options are incorrect:
A: Customers do not have root access to Exadata compute nodes to ensure security and system integrity.
C: The dbcli utility is designed for VM DB Systems, not Exadata Infrastructure management.
D: Exadata storage cells are managed by Oracle, and customers cannot directly modify storage configurations.
Oracle Exadata Infrastructure Management Guide
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If the Database Management Service is failing to collect performance metrics from a cloud database, which is the LEAST likely cause?
Correct : C
Reasoning:
The Database Management Service can collect performance metrics from databases across different regions within the same OCI tenancy. Therefore, the geographic location of the service relative to the database is not a common issue.
More Likely Causes:
A: IAM policies that do not grant sufficient permissions are a common issue.
B: If the database is offline, no metrics can be collected.
D: A locked database user account used by the Management Agent will prevent data collection.
Why C is incorrect:
The Database Management Service can be configured to collect metrics from databases across regions, as long as network access and permissions are properly configured.
Oracle Database Management Service Troubleshooting Guide
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How does HeatWave address the challenges of Online Analytical Processing (OLAP) compared to traditional row-based database systems?
Correct : B
HeatWave's Columnar Processing:
HeatWave improves OLAP performance by storing data in a columnar format in memory. This format is particularly efficient for analytical queries because:
It minimizes the amount of data read by only scanning the necessary columns.
Columnar storage supports vectorized processing, which significantly speeds up aggregation operations.
Being in-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 using parallel processing, not simple sharding.
E: AI-powered indexing is not a core feature of HeatWave.
Oracle MySQL HeatWave Documentation
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