100% PASS ORACLE 1Z0-1093-25 REALISTIC PRACTICE EXAM ONLINE

100% Pass Oracle 1z0-1093-25 Realistic Practice Exam Online

100% Pass Oracle 1z0-1093-25 Realistic Practice Exam Online

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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
  • 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 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
  • 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 5
  • 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.

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Oracle Cloud Database Services 2025 Professional Sample Questions (Q19-Q24):

NEW QUESTION # 19
Within an IAM policy for Oracle NoSQL Database Cloud Service, what is the purpose of the "resource" element when defining table access permissions?

  • A. To define the specific NoSQL table or tables to which the policy's permissions apply.
  • B. To set the expiration date for the IAM policy.
  • C. To determine the geographical region where the NoSQL database is located.
  • D. To specify the IAM group that the policy applies to.

Answer: A

Explanation:
B: Define specific NoSQL table permissions:
* The"resource"element specifies which Oracle NoSQL tables the IAM policy will apply to.
* It allows fine-grained access control by linking specific tables to permission statements.
* This ensures that only authorized users or groups can perform operations on specified tables.
Example IAM Policy Syntax:
{
"action": "nosql:table:read",
"resource": "ocid1.nosqltable.oc1..exampleuniqueID",
"effect": "allow"
}
Why the other options are incorrect:
* A. Specify IAM group:Groups are defined in the"subject"element, not the "resource" element.
* C. Geographical region:The region is usually part of theOCID(Oracle Cloud Identifier), not directly specified in the resource element.
* D. Set expiration date:Expiry is not defined within the "resource" element.


NEW QUESTION # 20
Which data formats are directly supported by the HeatWave Lakehouse feature for querying data in object storage?

  • A. Only CSV (Comma Separated Values) files.
  • B. Only Parquet files.
  • C. Only XML files.
  • D. CSV, Parquet, and Avro files.
  • E. Only JSON files.

Answer: D

Explanation:
C: CSV, Parquet, and Avro files:
* HeatWave Lakehousecan directly query data stored inOCI Object Storagewithout loading it into MySQL.
* Supports widely-used data formats:
* CSV (Comma Separated Values): Simple, text-based data format.
* Parquet: Columnar storage format optimized for analytical queries.
* Avro: Row-oriented format used for data serialization.
* This versatility allows integrating data from various sources and querying directly.
Why the other options are incorrect:
* A. Only CSV files:HeatWave supports more than just CSV.
* B. Only Parquet files:HeatWave also supports CSV and Avro.
* D. Only JSON files:JSON is not directly supported by HeatWave Lakehouse.
* E. Only XML files:XML is not directly supported.


NEW QUESTION # 21
When provisioning an Oracle Cloud Infrastructure (OCI) Base Database Service (BaseDB) on a virtual machine (VM), what is a primary factor that distinguishes it from using a Bare Metal database service?

  • A. The underlying hardware is dedicated solely to your instance.
  • B. The database software binaries are always pre-installed.
  • C. The ability to choose your own hypervisor for virtualization.
  • D. The ability to create multiple database homes on a single server.

Answer: A

Explanation:
Primary Distinction:
The primary difference betweenBaseDB on a VMandBare Metalis how the underlying hardware is allocated:
* BaseDB on VM:The infrastructure issharedamong multiple tenants, using virtualization to isolate instances.
* Bare Metal Database Service:The server'sphysical hardware is dedicatedexclusively to a single tenant, offeringmaximum performance and isolation.
* This exclusive access to hardware in Bare Metal allows forbetter performanceand control compared to VM-based instances.
Why the other options are incorrect:
* A:Binaries are not always pre-installed in both cases; it depends on the configuration.
* B:Oracle handles hypervisor configuration, not the user.
* D:Both VM and Bare Metal allow multiple database homes if configured properly.


NEW QUESTION # 22
What is the primary processing paradigm employed by the HeatWave query accelerator for analytical workloads?

  • A. Disk-based processing
  • B. Row-based processing
  • C. Key-value pair processing
  • D. Columnar processing
  • E. Index-based processing

Answer: D

Explanation:
HeatWave's Processing Model:
HeatWave usescolumnar in-memory processingto optimize analytical workloads. Storing data in columns rather than rows allows HeatWave toprocess large datasets efficiently, reducing the volume of data scanned and improving query performance. This is crucial for OLAP operations that involveaggregating and analyzing data.
Why the other options are incorrect:
* A:Row-based processing is typical for OLTP workloads, not analytical.
* B:HeatWave operates primarily in memory, not disk.
* D:Indexing enhances performance but is not the primary processing paradigm.
* E:Key-value processing is typical in NoSQL databases, not analytical systems.


NEW QUESTION # 23
Which two actions can be performed using the Automatic Database Diagnostic Monitor (ADDM) within Database Management to diagnose cloud database performance?

  • A. Generate recommendations for SQL plan baselines.
  • B. Automatically create indexes to improve query performance.
  • C. Identify root causes of performance bottlenecks, such as excessive I/O or CPU contention.
  • D. Automatically apply all ADDM recommendations to the database.

Answer: A,C

Explanation:
A: Generate recommendations for SQL plan baselines:
* ADDM analyzes historical data andSQL execution plans, suggesting baseline adjustments to optimize performance.
* Recommendations may includeusing an existing baselineor creating a new one.
C: Identify performance bottlenecks:
* ADDM pinpoints issues related to:
* I/O contention
* CPU utilization
* Memory bottlenecks
* Locking issues
* Helps DBAs understand which database components are causing slowdowns.
Why the other options are incorrect:
* B. Automatically applying recommendations:ADDM only suggests actions; DBAs must manually review and implement them.
* D. Creating indexes:ADDM does not create indexes automatically; it may suggest them, but implementation requires DBA action.


NEW QUESTION # 24
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