1Z0-931-25 VALID TEST PDF - 1Z0-931-25 EXCELLECT PASS RATE

1Z0-931-25 Valid Test Pdf - 1Z0-931-25 Excellect Pass Rate

1Z0-931-25 Valid Test Pdf - 1Z0-931-25 Excellect Pass Rate

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Oracle 1Z0-931-25 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Managing and Maintaining Autonomous Database: This section of the exam measures the skills of Database Administrators and focuses on the ongoing management and maintenance of Autonomous Database instances. It includes using REST APIs and OCI CLI for automation, configuring access control lists and private endpoints, monitoring performance, setting up notifications, utilizing features like auto-indexing and data safe, handling connectivity through wallets and service handles, and configuring disaster recovery using Data Guard to ensure business continuity.
Topic 2
  • 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 3
  • 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.
Topic 4
  • Autonomous Database Shared: This section of the exam measures the skills of Cloud Engineers and focuses on creating and managing shared Autonomous Database instances. It includes provisioning, scaling, and starting or stopping instances, as well as database consolidation with Elastic Resource Pools. It also covers user management, cloning, database migration, monitoring, backup and restore processes, and introduces Data Guard for high availability, ensuring cloud engineers can maintain optimal database performance.
Topic 5
  • 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 6
  • 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.

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Three Easy and User-Friendly DumpsTests Oracle 1Z0-931-25 Exam Question Formats

DumpsTests has one of the most comprehensive and top-notch Oracle 1Z0-931-25 Exam Questions. We eliminated the filler and simplified the Oracle Autonomous Database Cloud 2025 Professional preparation process so you can ace the Oracle certification exam on your first try. Our Oracle 1Z0-931-25 Questions include real-world examples to help you learn the fundamentals of the subject not only for the Oracle exam but also for your future job.

Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q36-Q41):

NEW QUESTION # 36
Which three of the following data sources are available when using the Data Load page on Database Actions?

  • A. REST endpoints
  • B. Local Files
  • C. Files in Oracle Cloud Storage
  • D. Files in AWS S3 Storage
  • E. Backup files in block storage

Answer: B,C,D

Explanation:
Full Detailed In-Depth Explanation:
The Data Load page in Database Actions supports loading data from:
A . Local Files: True. Users can upload files from their local device.
B . Files in Oracle Cloud Storage: True. OCI Object Storage is a supported source.
C . REST endpoints: False. REST is not a direct data source for Data Load; it's used for programmatic access.
D . Files in AWS S3 Storage: True. Integration with AWS S3 is supported for cloud flexibility.
E . Backup files in block storage: False. Block storage backups are not accessible via Data Load.
A, B, and D are the correct options per Oracle's documentation.


NEW QUESTION # 37
As a database architect, you are tasked with configuring a high concurrency, production OLTP (EXAM) application to connect to an Autonomous Transaction Processing database with a requirement to have some reporting queries run in parallel mode. Which connection service is appropriate for such a workload?

  • A. MEDIUM
  • B. TP
  • C. HIGH
  • D. TPURGENT

Answer: C

Explanation:
Autonomous Transaction Processing (ATP) provides predefined connection services to optimize different workload types. For a high-concurrency OLTP application with parallel reporting queries, the appropriate service is:
HIGH (C): The HIGH connection service in ATP is designed for workloads requiring high concurrency and throughput, making it ideal for a production OLTP application like "EXAM" that handles many simultaneous transactions (e.g., user requests). Additionally, HIGH supports parallel query execution, which is critical for running reporting queries efficiently during off-peak times. It allocates more resources (e.g., OCPUs and I/O) compared to other services, ensuring performance for both transactional and analytical tasks. For example, the OLTP app might use HIGH to process thousands of concurrent user requests, while a nightly report leverages parallel processing to aggregate data quickly. In the wallet's tnsnames.ora, the HIGH service might look like exam_high = (DESCRIPTION=...), offering the best balance for this mixed workload.
The incorrect options are:
TPURGENT (A): The TPURGENT service prioritizes low-latency, time-critical transactions (e.g., sub-second response times for single-user actions). It's optimized for latency-sensitive operations, not high concurrency or parallel reporting, and would underperform for the broader OLTP and reporting needs here. For instance, it's better suited for a single critical transaction than a multi-user system.
TP (B): The TP (Transaction Processing) service is a general-purpose option for OLTP workloads, offering moderate concurrency and latency. However, it's not optimized for high concurrency or parallel query execution, making it less suitable for a production app with reporting demands. It's a middle ground, not a top-tier performer like HIGH.
MEDIUM (D): The MEDIUM service balances performance and resource usage for moderate workloads. It supports some concurrency but lacks the resource allocation and parallel execution capabilities of HIGH, making it inadequate for a high-concurrency OLTP system with reporting requirements.
The HIGH service's ability to handle both high transactional volume and parallel reporting aligns perfectly with the scenario's strict performance needs, all within ATP's zero-maintenance framework.


NEW QUESTION # 38
You want to enable automatic indexing in a database, but any new auto indexes should be created as invisible indexes, so that they cannot be used in SQL statements. Which command will you use?

  • A. EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','OFF')
  • B. EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','REPORT ONLY')
  • C. EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','IMPLEMENT')
  • D. EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','INVISIBLE')

Answer: B

Explanation:
Oracle's automatic indexing feature, available in Autonomous Database, optimizes query performance by creating and managing indexes. The requirement here is to enable it but ensure new indexes are invisible (not used by the optimizer unless explicitly made visible). The correct command is:
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','REPORT ONLY') (C): The REPORT ONLY mode enables automatic indexing, where the database identifies and creates candidate indexes based on workload analysis. However, these indexes are created as invisible by default, meaning the optimizer does not use them in SQL execution plans unless a DBA manually makes them visible (e.g., via ALTER INDEX ... VISIBLE). This mode is ideal for testing or validation without impacting production queries. For example, if a query frequently filters on a column, an invisible index might be created, but it won't affect performance until explicitly activated.
The incorrect options are:
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','IMPLEMENT') (A): The IMPLEMENT mode fully enables automatic indexing, creating and maintaining visible indexes that the optimizer uses immediately. This contradicts the requirement for invisible indexes.
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','OFF') (B): The OFF mode disables automatic indexing entirely, so no indexes (visible or invisible) are created, failing the requirement to enable it.
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','INVISIBLE') (D): There is no INVISIBLE mode in DBMS_AUTO_INDEX.CONFIGURE. While indexes can be set as invisible individually, this is not a valid configuration option for the auto-indexing feature.
The REPORT ONLY mode provides a controlled approach, allowing index creation for analysis without immediate deployment. This is particularly useful in Autonomous Database, where automation is balanced with DBA oversight.


NEW QUESTION # 39
What REST verb is used to create an Autonomous Database service using REST APIs?

  • A. A "POST" REST call
  • B. A "GET" REST call
  • C. A "PUT" REST call
  • D. An "INSERT" REST call

Answer: A

Explanation:
Full Detailed In-Depth Explanation:
REST APIs use HTTP verbs:
A: True. POST creates new resources, such as an Autonomous Database instance.
B: False. GET retrieves data, not creates.
C: False. PUT updates existing resources.
D: False. INSERT is not a REST verb; it's SQL-specific.


NEW QUESTION # 40
Oracle Data Safe is a unified control center for your Oracle databases which helps you understand the sensitivity of your data, evaluate risks to data, mask sensitive data, implement and monitor security controls, assess user security, monitor user activity, and address data security compliance requirements. Which statement is FALSE for Oracle Data Safe?

  • A. Oracle Data Safe helps you assess the security of your cloud database configurations by analyzing database configurations
  • B. Oracle Data Safe only supports Autonomous Database
  • C. Oracle Data Safe helps you find sensitive data in your database by inspecting the actual data in your database and its data dictionary
  • D. Oracle Data Safe evaluates user types, how users are authenticated, and the password policies assigned to each user

Answer: B

Explanation:
Oracle Data Safe enhances database security across various Oracle environments. The false statement is:
Oracle Data Safe only supports Autonomous Database (D): This is incorrect. Oracle Data Safe supports a wide range of Oracle databases, not just Autonomous Database. It works with Autonomous Database (shared and dedicated), Oracle Database Cloud Service (VM and Bare Metal), Exadata DB Systems, on-premises Oracle Databases, and Oracle Database on OCI Compute. For example, a DBA could use Data Safe to mask sensitive data in an on-premises 19c database or assess security in an Exadata Cloud@Customer deployment, not just ADB. This broad compatibility makes it a unified security tool across Oracle's ecosystem.
The true statements are:
Oracle Data Safe helps you find sensitive data in your database by inspecting the actual data in your database and its data dictionary (A): Data Safe's Data Discovery feature scans tables and metadata to identify sensitive columns (e.g., SSNs, credit card numbers), using predefined and custom patterns.
Oracle Data Safe helps you assess the security of your cloud database configurations by analyzing database configurations (B): The Security Assessment feature evaluates settings like encryption, auditing, and privileges, providing risk scores and recommendations.
Oracle Data Safe evaluates user types, how users are authenticated, and the password policies assigned to each user (C): User Assessment analyzes user accounts, authentication methods (e.g., password, SSO), and policies, highlighting risks like weak passwords.
The misconception in D limits Data Safe's scope, which extends beyond ADB to all supported Oracle databases.


NEW QUESTION # 41
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