Free Oracle 1Z0-931-25 Exam Actual Questions

The questions for 1Z0-931-25 were last updated On Jun 12, 2025

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Question No. 1

What are three characteristics of Data Lake data captured in Object Storage? (Choose three.)

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Correct Answer: C, D, E

Data Lakes in OCI Object Storage store raw data for analysis. The three correct characteristics are:

Schema on read (C): Data Lakes store data in its raw, native format (e.g., JSON, CSV, Parquet) without a predefined schema. The schema is applied when data is read or processed, not when written, offering flexibility. For example, a Parquet file with sales data might be queried with SQL only when analyzed, not structured upfront like in a database.

Multiple subject areas (D): Data Lakes aggregate data from diverse sources---sales, HR, IoT---spanning multiple subject areas. This enables cross-domain analysis, like combining customer data with weather data for insights, all stored in a single OCI bucket.

Mixed data types (E): Data Lakes support varied formats: structured (e.g., CSV tables), semi-structured (e.g., JSON documents), and unstructured (e.g., videos). For instance, a bucket might hold CSV logs, JSON events, and image files, all accessible for processing.

The incorrect options are:

High concurrency (A): Data Lakes in Object Storage are not designed for high-concurrency transactional access (e.g., thousands of simultaneous updates). They're optimized for batch processing or analytics, unlike ATP's concurrency focus.

High transaction performance (B): Transactional performance (e.g., fast commits) is a database strength, not a Data Lake's. Object Storage prioritizes scalability and durability over transactional speed, making it unsuitable for OLTP workloads.

These traits make Data Lakes ideal for big data analytics, not real-time transactions.


Question No. 2

Which statement is correct about the Service Console in an Autonomous Database?

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Correct Answer: B

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.


Question No. 3

What predefined user is created when provisioning an Autonomous Database (ADB) instance to which you connect to create other users and grant roles?

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Correct Answer: B

When provisioning an Autonomous Database (ADB) instance, Oracle creates a default administrative user with extensive privileges. The correct user is:

ADMIN (B): The ADMIN user is automatically created during ADB provisioning and serves as the primary administrative account. It has full privileges to manage the database, including creating users, granting roles, and performing administrative tasks (e.g., scaling, backups). For example, after provisioning an ADB via the OCI console, you'd connect as ADMIN using the password you set, then run commands like: CREATE USER analyst1 IDENTIFIED BY 'password'; GRANT CONNECT, RESOURCE TO analyst1;. This user is the entry point for initial configuration and ongoing management, authenticated via the client wallet for secure access (e.g., sqlplus admin/password@adb_high). The ADMIN user is distinct from traditional Oracle users like SYS because ADB's managed nature limits direct system-level access, funneling administration through ADMIN.

The incorrect options are:

SYS (A): In traditional Oracle databases, SYS is the superuser with ultimate control (e.g., owning the data dictionary). In ADB, however, SYS exists but is locked and inaccessible to customers due to the fully managed environment---Oracle manages system-level operations, and users connect as ADMIN instead.

DWDEV (C): There's no predefined DWDEV user in ADB. This might confuse with roles like DWROLE (for Data Warehouse developers), but no such user is created by default.

SCOTT (D): SCOTT is a sample user from older Oracle versions (with tables like EMP and DEPT), not created in ADB. It's irrelevant in this modern, managed context.

The ADMIN user's role ensures customers can manage ADB without needing Oracle's intervention, aligning with its autonomous design.


Question No. 4

Which terminology is used to refer to a communication channel for sending messages to a subscription, such as email or SMS, in Oracle Cloud Infrastructure?

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Correct Answer: C

In Oracle Cloud Infrastructure (OCI), the Notifications service is used to send messages (e.g., via email, SMS, or HTTP endpoints) to subscribers. The correct terminology for the communication channel is:

Topic (C): A 'topic' in OCI Notifications is the named entity that acts as a communication channel. Publishers send messages to a topic, and subscribers (e.g., email addresses, SMS numbers, or custom endpoints) receive those messages based on their subscription to that topic. For example, you might create a topic called 'DatabaseAlerts' to send notifications about database events. When a message is published to this topic, all subscribed endpoints (e.g., an email like user@example.com) receive it. This design follows a publish-subscribe (pub/sub) model, making 'topic' the central concept for message distribution.

The incorrect options are:

Subject (A): The 'subject' is a field within a message (e.g., the subject line of an email), not the channel itself. It describes the content of an individual notification but doesn't define the mechanism for sending it. For instance, an email notification might have a subject like 'Database Maintenance Scheduled,' but the topic is the channel delivering it.

Notification (B): A 'notification' refers to the actual message being sent (the payload), not the channel through which it travels. It's the output of the process, not the infrastructure enabling it. For example, a notification might be 'Database is down,' but it's sent via a topic.

Event (D): An 'event' is an occurrence or trigger (e.g., a database failover) that might generate a notification, but it's not the channel. Events are inputs that can be monitored by services like OCI Events, which then publish to a topic in Notifications.

The use of 'topic' aligns with OCI's architecture for scalable, decoupled messaging. To illustrate, you'd create a topic in the OCI console under 'Notifications,' configure subscriptions (e.g., email or SMS), and then use APIs or triggers to publish messages to it. This abstraction ensures flexibility and reliability in message delivery across various protocols.


Question No. 5

Which statement is false about Autonomous Database Oracle Client Credentials (Wallets)?

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Correct Answer: A

Oracle Client Credentials (wallets) are essential for secure connections to the Autonomous Database. The false statement is:

The Wallet for the Autonomous Database is the same as the TDE wallet (A): This is incorrect. The Oracle Client Credential wallet (used for client authentication and connection security) is distinct from the Transparent Data Encryption (TDE) wallet (used to encrypt data at rest within the database). The client wallet contains certificates and keys for mutual TLS (mTLS) authentication, while the TDE wallet manages encryption keys for data security. They serve different purposes and are not the same.

The correct statements are:

You must have an Oracle Client Credential wallet in order to connect to the Autonomous Database (B): True. The wallet is required for mTLS, which is the default authentication method for Autonomous Databases, ensuring secure connections.

In addition to the Oracle Client Credential Wallet, a user must have a username and password in order to connect to the Autonomous Database (C): True. Alongside the wallet, a database username and password are needed for full authentication (mTLS + user credentials).

The Oracle Client Credential file is downloaded as a ZIP file (D): True. When downloaded from the Oracle Cloud Infrastructure (OCI) console, the wallet is provided as a ZIP file containing configuration files like tnsnames.ora and certificates.

This distinction is critical for understanding security mechanisms in Autonomous Database.