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1Z0-1195-25 Reliable Exam Preparation & 1Z0-1195-25 Dumps

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Oracle 1Z0-1195-25 Exam Syllabus Topics:

Topic
Details

Topic 1

Data Management Introduction: This section of the exam measures the skills of Data Architects and Cloud Database Specialists in understanding Oracle's data management strategy. It covers Oracle's database offerings, deployment options, and multi-cloud and hybrid cloud solutions for managing data using Oracle Cloud Infrastructure.

Topic 2

MySQL and NoSQL: This section measures the skills of Database Developers and Data Engineers in working with Oracle MySQL HeatWave Database Service. It focuses on their features and uses cases for modern application development.

Topic 3

Developing on Oracle Database: This section measures the skills of Application Developers and DevOps Engineers in managing Autonomous Databases using REST APIs, Oracle's data toolset, low-code development with APEX, and CI
CD processes for database tools and APEX applications.

Topic 4

Converged Database: This section evaluates the expertise of Multi-Model Database Specialists and Application Developers in using Oracle's converged database for multi-model use cases. It covers JSON, graph, and spatial data capabilities within the Oracle Database.

Topic 5

Autonomous Database and Tools: This section evaluates the expertise of Database Administrators and Cloud Engineers in working with Oracle Autonomous Database (ADB). It includes provisioning ADB instances, scaling CPU and storage, starting and stopping databases, and using tools to load data into ADB effectively.

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Oracle Data Platform 2025 Foundations Associate Sample Questions (Q44-Q49):

NEW QUESTION # 44
Which ADB tool can you use to discover anomalies, outliers, and hidden patterns in your data?

A. Catalog
B. Data Transforms
C. Data Insights
D. Data Load

Answer: C

Explanation:
In the Autonomous Database (ADB), "Data Insights" (B) is the tool to discover anomalies, outliers, and hidden patterns, leveraging built-in AI and ML capabilities to analyze data. "Data Load" (A) is for importing data, "Data Transforms" (C) is for data preparation, and "Catalog" (D) is for metadata (OCI Data Catalog). Oracle's documentation identifies Data Insights for pattern detection.

NEW QUESTION # 45
Which are the capabilities of Oracle Autonomous Database that can accelerate innovation? (Choose 3)

A. Built-in AI and ML helps find patterns that could identify undiscovered anomalies
B. Provisions a data warehouse in seconds
C. Instant scaling of storage
D. Scaling of CPUs with very little downtime

Answer: A,C,D

Explanation:
"Oracle Autonomous Database" accelerates innovation with: "Scaling of CPUs with very little downtime" (A), enabling dynamic performance adjustments online; "Built-in AI and ML helps find patterns that could identify undiscovered anomalies" (B), leveraging in-database machine learning; and "Instant scaling of storage" (C), providing flexibility without interruption. "Provisions a data warehouse in seconds" (D) is true but more a setup feature than an ongoing innovation driver. Oracle's documentation emphasizes these capabilities for rapid development and insights.

NEW QUESTION # 46
What security control area determines if there is sensitive data in a system?

A. Detect
B. Assess
C. Protect
D. Users

Answer: B

Explanation:
In Oracle's security framework, the "Assess" security control area (C) is responsible for determining whether sensitive data exists within a system. This phase involves data discovery, classification, and risk analysis to identify sensitive information such as PII or financial data. "Users" (A) relates to access management, "Detect" (B) focuses on identifying threats or breaches, and "Protect" (D) involves implementing safeguards-none of these directly address the initial identification of sensitive data. Oracle's Data Safe and OCI security documentation highlight "Assess" as the key stage for sensitive data discovery, often leveraging tools like Data Catalog or Data Safe.

NEW QUESTION # 47
Which statement is not the responsibility of the customer in a simple cloud management model?

A. Manage database servers and VM hosts
B. Control access to customer VMs
C. Subscribe to database servers
D. Everything inside of the database

Answer: A

Explanation:
In a simple cloud management model (e.g., Autonomous Database), "Manage database servers and VM hosts" (A) is not the customer's responsibility; Oracle handles infrastructure management. Customers "Subscribe to database servers" (B), manage "Everything inside of the database" (C) like data and schemas, and "Control access to customer VMs" (D) where applicable. Oracle's shared responsibility model delegates server and host management to the provider.

NEW QUESTION # 48
What is the Oracle recommended way to upgrade databases?

A. AutoUpgrade
B. Database Upgrade Assistant (DBUA)
C. Command Line Upgrade
D. Data Pump Export/Import

Answer: A

Explanation:
The Oracle-recommended way to upgrade databases is "AutoUpgrade" (D). AutoUpgrade automates the upgrade process, handling pre-checks, upgrades, and post-upgrade tasks with minimal manual intervention, reducing errors and downtime. "Database Upgrade Assistant (DBUA)" (A) is a GUI tool but less automated, "Data Pump Export/Import" (B) is for data migration, not direct upgrades, and "Command Line Upgrade" (C) is manual and error-prone. Oracle's official upgrade guides endorse AutoUpgrade for its efficiency and reliability.

NEW QUESTION # 49
......

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