[Apr 02, 2026] 1z0-1093-25 Questions Truly Valid For Your Oracle Exam! [Q15-Q34]

4/5 - (1 vote)

[Apr 02, 2026] 1z0-1093-25 Questions Truly Valid For Your Oracle Exam!

1z0-1093-25 Actual Questions – Instant Download Tests Free Updated Today!

NEW QUESTION 15
Which two statements are accurate regarding the lifecycle management of an Exadata VM Cluster?

The VM Cluster can be independently stopped and started without impacting the underlying Exadata Infrastructure.

The VM Cluster’s CPU core count can be dynamically scaled up or down without requiring a reboot.

Patching the Exadata Infrastructure automatically patches the VM Cluster and databases.

Modifying the shape of the Exadata Infrastructure automatically scales the VM Cluster resources proportionally.

The VM Cluster can be terminated independently, allowing reuse of the Exadata Infrastructure for a different VM Cluster.

NEW QUESTION 16
How does HeatWave address the challenges of Online Analytical Processing (OLAP) compared to traditional row-based database systems?

HeatWave uses a specialized indexing technique to speed up data retrieval.

HeatWave employs a columnar data format in memory, enabling faster scans and aggregations for complex queries.

HeatWave leverages a distributed caching mechanism to store frequently accessed data.

HeatWave automatically shards the database to distribute the workload across multiple nodes.

HeatWave leverages AI-powered indexing to optimize the data retrieval.

NEW QUESTION 17
Which data formats are directly supported by the HeatWave Lakehouse feature for querying data in object storage?

Only CSV (Comma Separated Values) files.

Only Parquet files.

CSV, Parquet, and Avro files.

Only JSON files.

Only XML files.

NEW QUESTION 18
Oracle NoSQL Database Cloud Service’s key-value model is well-suited for certain types of applications.
Which of the following application scenarios would most directly benefit from the key-value data model’s characteristics?

An application requiring complex analytical queries and joins across multiple related datasets.

A social media platform needing to store and retrieve individual user profiles and their associated data quickly.

A financial system requiring strict transactional integrity and complex relationships between accounts and transactions.

A content management system needing to enforce a rigid schema for all documents and their metadata.

An enterprise resource planning (ERP) system managing intricate relationships between various business entities.

NEW QUESTION 19
During the provisioning of a Base Database Service (BaseDB) virtual machine (VM), what is the significance of the “Compute Shape” selection?

It determines the maximum number of databases that can be created on the VM.

It dictates the availability domain in which the VM will be created.

It defines the CPU, memory, and network bandwidth allocated to the VM.

It specifies the pre-installed database software version.

NEW QUESTION 20
When a new security patch is released for the Oracle Database software on a BaseDB VM system, what is the recommended approach for applying it in a production environment?

Immediately apply the patch directly to the production database during off-peak hours to minimize potential security vulnerabilities.

Download the patch and apply it to a non-production environment that mirrors the production environment for testing before applying it to production.

Wait for Oracle Cloud Infrastructure to automatically apply the security patch to all BaseDB VM systems.

Apply the patch to a production standby database (if one exists) and then failover to the patched standby.

NEW QUESTION 21
When provisioning a new BaseDB VM, which statement BEST describes the relationship between the available Database Versions and the selected Operating System image?

All Database Versions are compatible with all Operating System images available in the OCI Marketplace.

Only Database Versions compatible with the underlying Operating System image are presented as options during provisioning.

The chosen Operating System image is automatically upgraded to the latest version compatible with the selected Database Version after provisioning.

The Database Version determines the Operating System image that will be used, irrespective of the initially selected image.

NEW QUESTION 22
Which of the following is the recommended approach for migrating a large, mission-critical database from an on-premises Exadata system to Exadata Database Service with minimal downtime?

Traditional export/import using Data Pump over a public network.

Creating a physical standby database using Data Guard and switching over to the standby in OCI.

Performing a full backup and restore to a new Exadata Database Service instance.

Using SQL Developer to copy the data over a VPN connection.

NEW QUESTION 23
Which statement accurately describes the patching process for Oracle Grid Infrastructure (GI) and ASM components on a BaseDB VM system when using user-managed patching?

GI and ASM patching is fully automated by Oracle Cloud Infrastructure and requires no user intervention.

The DBA must manually download the GI and ASM patch bundles and apply them using the appropriate patching tools.

GI and ASM patching is integrated with the database patching process and is automatically handled when the database is patched.

Patching GI and ASM components is only required when the operating system of the VM is upgraded.

NEW QUESTION 24
Which two requirements must be met first to create an Exadata Database Service Instance?

You only need a VCN and Universal Cloud Credits.

You need to define the VCN, Private Client subnet, and Service Backup subnet.

You need to define the VCN, Private Client subnet, and Private Backup subnet.

There are no prerequisites for creating an Exadata Database Service instance.

You need to create an Exadata Infrastructure and VM Cluster resource.

NEW QUESTION 25
Which two metrics are available for monitoring within the Performance Hub’s Real-Time SQL Monitoring feature in Database Management?

Physical Reads

Average Active Sessions

Number of CPUs on the host

Database Version

NEW QUESTION 26
Which two statements regarding the use of tags in conjunction with Database Management for monitoring are true?

Tags can be used to group databases for easier monitoring and analysis in Database Management.

Tags propagate automatically from the database to Database Management; no additional configuration is required.

Tags can be used to filter and search for specific databases within the Database Management console.

Database Management does not support the use of tags for any monitoring or filtering purposes.

NEW QUESTION 27
In a BaseDB environment configured with automatic backups, what happens to the automatic backups when the DB system is terminated?

All automatic backups are immediately and permanently deleted from object storage.

The most recent automatic backup is retained, while older backups are deleted.

All automatic backups are retained in object storage for a period determined by the original backup retention policy.

Automatic backups are migrated to a lower-cost archive storage tier.

The retention of automatic backups after DB system termination is configurable during DB system creation.

NEW QUESTION 28
Which two prerequisites are required before you can provision a MySQL HeatWave DB system?

A pre-configured MySQL database dump for initial data loading.

A Virtual Cloud Network (VCN) with appropriately configured subnets.

A configured OCI Vault with encryption keys for database security.

An OCI Compute instance to act as a client for the MySQL DB system.

A MySQL Enterprise Edition license.

NEW QUESTION 29
While operating a MySQL HeatWave cluster, you need to resize the HeatWave cluster to accommodate an increased workload. Which method is the most efficient and recommended way to scale the HeatWave cluster?

Manually altering the innodb_buffer_pool_size and restarting the MySQL server.

Using the OCI CLI or Console to adjust the HeatWave cluster’s shape and node count.

Modifying the underlying VM shapes of the MySQL Database System.

Recreating the HeatWave cluster with the desired size.

Performing a manual data export and import into a new, larger MySQL Database System.

NEW QUESTION 30
Which technology within the Exadata Database Service provides intelligent data offloading and processing capabilities directly within the storage tier?

Oracle Data Guard

Exadata Smart Scan

Oracle Active Data Guard

Exadata Smart Flash Cache

NEW QUESTION 31
You are tasked with monitoring the I/O performance of an Exadata Database Service (ExaDB) using the exadcli utility. You need to retrieve detailed statistics on Smart Flash Cache usage, including read and write operations, at the storage cell level. Which exadcli command will provide the most comprehensive information?

exadcli list metriccurrent -cell -metricname “IOPS,MBPS”

exadcli list metricdetail -cell -metricname “flashcache.*”

exadcli list metriccurrent -cell -metricname “cell.*”

exadcli list metrichistory -cell -metricname “flashcache_read_iops,flashcache_write_iops”

NEW QUESTION 32
Which two functionalities can be accomplished using the Performance Hub within Database Management for monitoring?

Execute ADDM (Automatic Database Diagnostic Monitor) analysis on a historical workload.

Directly modify database initialization parameters.

Identify blocking sessions that are impacting database performance.

Upgrade the database to a newer version.

NEW QUESTION 33
What primary security mechanism within Oracle NoSQL Database Cloud Service governs access to individual tables, dictating which users or groups can perform specific actions?

Virtual Cloud Network (VCN) security lists

Identity and Access Management (IAM) policies

Database Vault

Transparent Data Encryption (TDE)

NEW QUESTION 34
What are the two primary dimensions typically governed by table rate limits in Oracle NoSQL Database Cloud Service?

Storage capacity and network bandwidth.

Read throughput and write throughput.

CPU utilization and memory consumption.

Number of indexes and query complexity.

Oracle 1z0-1093-25 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 4	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 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.