Oracle 1Z0-931-25 Valid Study Plan & 1Z0-931-25 Valid Exam Duration

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Oracle 1Z0-931-25 Exam Syllabus Topics:

Topic	Details
Topic 1	Data Lake Analytics with Autonomous Database: This section of the exam measures the skills of Big Data Engineers and explores how Autonomous Database can be used for analytics in data lake environments. It includes data ingestion, query optimization, and leveraging cloud-native analytics services, ensuring engineers can efficiently process and analyze large volumes of structured and unstructured data.
Topic 2	Getting Started with Autonomous Database: This section of the exam measures the skills of Database Administrators and covers the architecture and key features of Oracle Autonomous Database. It explains how the database integrates within the Oracle ecosystem and provides an overview of different Autonomous Database offerings and their licensing models, helping administrators understand how to deploy and manage these cloud-based databases efficiently.
Topic 3	Autonomous Database Dedicated: This section of the exam measures the skills of IT Architects and explores the workflows and functionality of Autonomous Database Dedicated and Autonomous Database Cloud@Customer. It includes provisioning dedicated resources, setting up OCI policies, monitoring infrastructure, scheduling maintenance tasks such as patching, and managing encryption keys for enhanced security. IT Architects will learn how to integrate dedicated database environments within their cloud strategy.
Topic 4	Migrating to Autonomous Database: This section of the exam measures the skills of Cloud Migration Specialists and covers strategies for migrating existing databases to Autonomous Database. It includes understanding migration considerations, and available options, and using Oracle Data Pump to transfer data seamlessly while minimizing downtime, ensuring smooth transitions to Oracle Cloud infrastructure.
Topic 5	Developing on Autonomous Database: This section of the exam measures the skills of Application Developers and focuses on developing and extending applications using Autonomous Database. It covers using generative AI for natural language queries, Autonomous JSON Database, Oracle Text for document search, location-based analysis with Autonomous Spatial, Autonomous Graph for data relationships, and integration with Object Storage, enabling developers to build intelligent, scalable applications.

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Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q120-Q125):

NEW QUESTION # 120
Which statement is true about the use of Access Control Lists (ACLs) with an Autonomous Database on Shared Infrastructure?

A. An ACL can only be set during the creation of an Autonomous Database on Shared Infrastructure
B. When you restore a database, the existing ACLs are not overwritten by the restore.
C. ACLs can only be used with private endpoints
D. An ACL can be set up for an IP Address or a virtual cloud network but not both at the same time

Answer: B

Explanation:
ACLs control network access to Autonomous Database on Shared Infrastructure:
Correct Answer (B): "When you restore a database, the existing ACLs are not overwritten by the restore" is true. ACLs are part of the database's network configuration, preserved during restore operations to maintain security settings.
Incorrect Options:
A: ACLs can include both IP addresses and VCN CIDR blocks simultaneously; they're not mutually exclusive.
C: ACLs apply to public endpoints, not just private ones, to restrict access.
D: ACLs can be modified post-creation, not just at provisioning time.
This ensures consistent security post-restore.

NEW QUESTION # 121
Which statement is FALSE about Data Insights?

A. Data Insights display information about patterns and anomalies in the data of entities in your Oracle Autonomous Database
B. Data Insights provides a wide range of graphical data presentation capabilities
C. Data Insights are automatically generated by various analytic functions built into the database
D. The results of the Insight analysis appear as a series of bar charts in the Data Insights dashboard

Answer: C

Explanation:
Data Insights is a feature in Autonomous Database that helps users understand their data. The false statement is:
Data Insights are automatically generated by various analytic functions built into the database (C): This is incorrect. Data Insights are not solely the result of automatic execution of built-in analytic functions (e.g., AVG, SUM, or RANK). Instead, they are generated through a combination of user-initiated analysis and Oracle's machine learning-driven capabilities within the Data Insights dashboard (part of Database Actions or OCI console). Users select datasets or tables, and the system applies algorithms to identify patterns (e.g., trends in sales) or anomalies (e.g., outlier transactions), but this process isn't just a passive outcome of pre-existing database functions-it's an active, curated feature requiring configuration. For example, a user might explore a SALES table, and Data Insights highlights a spike in Q4 sales, but this requires user input to define scope, not just automatic function output.
The true statements are:
Data Insights display information about patterns and anomalies in the data of entities in your Oracle Autonomous Database (A): True. The feature visualizes trends (e.g., seasonal sales increases) and outliers (e.g., unexpected data drops) in tables or views, helping users spot significant data behaviors. For instance, it might show a bar chart of monthly revenue with an anomaly flagged for a sudden dip.
Data Insights provides a wide range of graphical data presentation capabilities (B): True. It offers visualizations like bar charts, line graphs, and scatter plots, customizable to represent data insights effectively. E.g., a line graph might track customer sign-ups over time, with options to adjust axes or filters.
The results of the Insight analysis appear as a series of bar charts in the Data Insights dashboard (D): True, partially. While bar charts are a common default (e.g., comparing sales by region), the dashboard supports multiple chart types, but the statement's focus on bar charts aligns with typical output for simple insights.
The misconception in C overlooks the interactive, ML-assisted nature of Data Insights, distinguishing it from passive function-based analytics.

NEW QUESTION # 122
Which command should you issue to enable application continuity on Oracle Autonomous Database on Shared Infrastructure?

A. ALTER SYSTEM SET APPLICATION_CONTINUITY=TRUE
B. ALTER SESSION SET APPLICATION_CONTINUITY=TRUE
C. ALTER DATABASE SET APPLICATION_CONTINUITY=TRUE
D. EXEC DBMS_CLOUD_ADMIN.ENABLE_APP_CONT('<service_name>');

Answer: D

Explanation:
Application Continuity ensures seamless failover for applications:
Correct Answer (B): EXEC DBMS_CLOUD_ADMIN.ENABLE_APP_CONT('<service_name>'); is the correct command for Autonomous Database on Shared Infrastructure. It enables Application Continuity for a specific service (e.g., tpurgent), leveraging the DBMS_CLOUD_ADMIN package designed for cloud-specific administration.
Incorrect Options:
A: ALTER SESSION only affects the current session, not persistent database-wide settings.
C, D: ALTER DATABASE and ALTER SYSTEM are not supported in Autonomous Database's managed environment; Oracle restricts such commands.
This ensures application resilience in a managed setup.

NEW QUESTION # 123
Which is a feature of a graph query language?

A. Scripting language
B. Object-oriented language
C. Run key-value queries
D. Ability to specify patterns

Answer: D

Explanation:
Graph query languages, like Oracle's Property Graph Query Language (PGQL), are designed for graph databases:
Correct Answer (D): "Ability to specify patterns" is a defining feature. Graph queries excel at defining and matching patterns (e.g., nodes and edges) to explore relationships, such as finding paths or subgraphs, critical for applications like social network analysis or fraud detection.
Incorrect Options:
A: Key-value queries are typical of NoSQL key-value stores, not graph databases.
B: While scripting may be possible in some contexts, it's not a core feature of graph query languages.
C: Graph query languages are not inherently object-oriented; they focus on relational graph structures.
This pattern-matching capability distinguishes graph queries from other query paradigms.

NEW QUESTION # 124
Which of the following two statements are correct? (Choose two.)

A. All capabilities of ODI Classic are available with ODI Web Edition.
B. ODI Web Edition can be installed from Oracle Cloud Infrastructure (OCI) Marketplace.
C. ODI Web Edition is available only on Oracle Linux.
D. Data Transforms Card provides access to Oracle Data Integrator (ODI) Web Edition.

Answer: A,B

Explanation:
Oracle Data Integrator (ODI) Web Edition integrates with Autonomous Database:
Correct Answer (B): "ODI Web Edition can be installed from Oracle Cloud Infrastructure (OCI) Marketplace" is true. It's offered as a Marketplace image for easy deployment on OCI compute instances.
Correct Answer (D): "All capabilities of ODI Classic are available with ODI Web Edition" is correct; the web version retains full functionality for data integration tasks.
Incorrect Options:
A: ODI Web Edition is not limited to Oracle Linux; it runs on various platforms supported by OCI.
C: The Data Transforms Card in Database Actions uses a simplified UI, not full ODI Web Edition access.
This enhances data integration flexibility in the cloud.

NEW QUESTION # 125
......

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ORACLE 1Z0-931-25 VALID STUDY PLAN & 1Z0-931-25 VALID EXAM DURATION

Oracle 1Z0-931-25 Valid Study Plan & 1Z0-931-25 Valid Exam Duration