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Exam 1Z0-931-25 Duration & 1Z0-931-25 New Exam Bootcamp

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Oracle 1Z0-931-25 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 3

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 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

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 6

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.

Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q34-Q39):

NEW QUESTION # 34
Which statement is correct about the Service Console in an Autonomous Database?

A. You can use the Service Console to enable or disable auto-scaling of Autonomous DB.
B. You can use the Service Console to move Autonomous DB between compartments.
C. You can use the Service Console to create manual backups of Autonomous Database.
D. You can use the Service Console to manage runaway SQL statements on Autonomous DB.

Answer: D

Explanation:
Full Detailed In-Depth Explanation:
The Service Console in Autonomous Database is for database-level management:
A: False. Auto-scaling is managed via OCI console.
B: True. It allows monitoring and terminating runaway SQL statements.
C: False. Compartment moves are OCI console tasks.
D: False. Manual backups are initiated via OCI or SQL*Plus.

NEW QUESTION # 35
Which is NOT needed to manage Oracle Autonomous Database with REST APIs?

A. User's OCID
B. Tenancy's OCID
C. Fingerprint of the public key
D. Database ADMIN password

Answer: D

Explanation:
Managing Autonomous Database via REST APIs relies on OCI authentication:
Correct Answer (D): "Database ADMIN password" is not needed. REST API access uses OCI IAM credentials, not database-level credentials like the ADMIN password.
Required Items:
A: User's OCID identifies the API caller.
B: Tenancy's OCID specifies the cloud environment.
C: Fingerprint of the public key authenticates API requests with a private-public key pair.
This ensures secure, external management without exposing database credentials.

NEW QUESTION # 36
Which four file formats are supported when loading data from Cloud Storage?

A. AVRO
B. CSV
C. DOC
D. JSON
E. Parquet
F. DDL

Answer: A,B,D,E

Explanation:
Full Detailed In-Depth Explanation:
Supported formats:
A: False. DDL is a language, not a data format.
B: True. AVRO is supported for structured data.
C: True. Parquet is optimized for analytics.
D: False. DOC is not supported.
E: True. JSON is flexible for semi-structured data.
F: True. CSV is widely used for tabular data.

NEW QUESTION # 37
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. The results of the Insight analysis appear as a series of bar charts in the Data Insights dashboard
C. Data Insights are automatically generated by various analytic functions built into the database
D. Data Insights provides a wide range of graphical data presentation capabilities

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 # 38
While provisioning a dedicated Autonomous Container Database, which backup retention period CANNOT be implemented?

A. 7 days
B. 120 days
C. 60 days
D. 15 days

Answer: B

Explanation:
Full Detailed In-Depth Explanation:
When provisioning an Autonomous Container Database (ACD) on dedicated infrastructure, Oracle provides specific options for backup retention periods to balance data recovery needs with storage costs. According to the official Oracle documentation, the available backup retention periods for a dedicated ACD are:
7 days: This is the default retention period for a newly provisioned ACD.
15 days: An option for extended retention beyond the default.
60 days: The maximum supported retention period for ACDs, offering the longest recovery window.
The option of 120 days is not supported as a backup retention period for an Autonomous Container Database. This limitation is due to the design of the Autonomous Database service, which caps retention at 60 days to optimize storage and performance on dedicated Exadata infrastructure. Attempting to set a retention period beyond 60 days is not an available choice during provisioning. Users must select a retention period that meets their recovery point objectives (RPO) within these constraints, noting that longer retention increases storage usage and associated costs.

NEW QUESTION # 39
......

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