Pass the Oracle Autonomous Database 1z0-931-25 Questions and answers with ExamsMirror

When enabling auto scaling in an Oracle Autonomous Database, the feature dynamically adjusts resources based on workload demand, but certain configuration elements remain unchanged unless manually altered.

Amount of storage (A): Auto scaling focuses on adjusting CPU and I/O resources to meet performance needs. The storage allocation remains constant because it is a separately provisioned resource that requires manual adjustment via the OCI Console or API. This ensures that storage capacity is not inadvertently reduced or expanded without explicit user intent.

Parallelism settings (B): These settings determine how many parallel processes are used for query execution. Auto scaling does not modify this pre-defined configuration; it adjusts resource usage (e.g., CPU cores) without altering the parallelism framework established for the database.

Level of concurrency (E): Concurrency refers to the maximum number of simultaneous user sessions. While auto scaling can indirectly influence concurrency by adjusting available resources, the concurrency limit itself is a fixed setting that remains unchanged unless explicitly modified by the administrator.

Incorrect Options:

I/O resources (C): Auto scaling directly impacts I/O resources by increasing or decreasing them alongside CPU adjustments to handle workload fluctuations.

Customer-managed encryption keys enhance security control:

Correct Answer (A): “In a separate key vault external to the Exadata infrastructure” refers to OCI Vault (Key Management Service), where keys are securely stored and managed outside the database infrastructure.

Incorrect Options:

B: The wallet secures connections, not encryption keys.

C: Storing keys on Exadata compromises separation of duties.

Fleet administrators managing dedicated Exadata infrastructure in Oracle Autonomous Database require broad permissions across all Autonomous Database resources, including those on dedicated infrastructure.

Correct Answer (B): The policy Allow group adb-admins to manage autonomous-database-family in tenancy grants comprehensive management rights over the entire Autonomous Database family, including dedicated Exadata infrastructure. The autonomous-database-family resource type encompasses all Autonomous Database resources (shared and dedicated) within the tenancy, making it suitable for fleet admins.

Incorrect Options:

A: Limits permissions to databases with the OLTP workload type (Autonomous Transaction Processing), excluding Data Warehouse (DW) or other types on dedicated infrastructure.

C: Restricts access to DW workload types only, omitting OLTP and other configurations.

Configuring private endpoints for Autonomous Database involves network security rules. The false statement is:

A stateless ingress rule is created to allow connections from the source to the Autonomous Database instance (C):This is incorrect. For Autonomous Database private endpoints, security rules (e.g., in Security Lists or NSGs) must be stateful, not stateless. Stateful rules track connection states (e.g., allowing return traffic automatically), which is necessary for Oracle Net Services (SQL*Net) communication over TCP. A stateless rule requires explicit ingress and egress rules for both directions, complicating setup and risking connectivity issues. For example, a stateful ingress rule from a client subnet (e.g., 10.0.1.0/24) to the ADB subnet ensures bidirectional traffic works seamlessly without additional egress rules.

The true statements are:

The IP Protocol is set to TCP (A):Autonomous Database uses TCP for database connections, aligning with Oracle Net Services standards.

The destination port range is set to 1522 (B):Port 1522 is the default for secure TLS connections to Autonomous Database, as specified in the client wallet’s tnsnames.ora.

The source is set to the address range you want to allow to connect to your database (D):The security rule defines the source CIDR block (e.g., 10.0.0.0/16) of allowed clients, restricting access to specific subnets or VCNs.

Stateful rules simplify and secure private endpoint configurations.

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.

The Catalog tool in Autonomous Database provides metadata exploration:

Correct Answer (A): “You can delete an entity from the Autonomous Database via the Catalog tool” isfalse. The Catalog is a read-only interface for viewing database objects (tables, views, etc.) and their relationships; it does not support modification or deletion actions.

True Statements:

B: Filtering by name, schema, type, or application is a core search feature.

C: Viewing DDL (data definition language) for entities is supported.

Full Detailed In-Depth Explanation:

When provisioning an Autonomous Database (ADB) on dedicated infrastructure, the placement within the infrastructure is critical:

A. Listener endpoint:Incorrect. This is for connectivity, not placement.

B. Client Credentials wallet:Incorrect. This is for secure connections, not determining location.

C. The container database in which the Autonomous instance should run:Correct. On dedicated infrastructure, an Autonomous Container Database (ACD) hosts multiple ADB instances. Selecting the ACD during provisioning determines where the ADB resides, affecting resource allocation and isolation.

D. The compartment:Incorrect. Compartments organize resources in OCI, but multiple ACDs can exist within a compartment, so this doesn’t pinpoint the exact location.

Choosing the ACD is a key provisioning step for dedicated deployments.

Performance Hub in Autonomous Database provides performance monitoring insights. The correct answer is:

24 Hours (C):When you open Performance Hub in the OCI console or Database Actions, the default time range displayed is the last 24 hours, shown in Coordinated Universal Time (UTC). This allows users to review recent performance metrics like CPU usage, SQL activity, and wait times. Users can adjust this range (e.g., to 1 hour or 1 week) as needed.

The incorrect options are:

15 Minutes (A):This is not a default option; it’s too short for a broad performance overview.

1 Hour (B):Available as an option, but not the default setting.

1 Week (D):Also available, but not the default; it’s a longer-term view users can select manually.

The 24-hour default balances recency and context for performance analysis.

Autonomous Database allows independent scaling of certain resources:

Correct Answer (B): “Storage” can be scaled independently of OCPUs via the OCI Console or API, adjusting capacity (e.g., from 1 TB to 2 TB) without altering compute resources.

Incorrect Options:

A: Sessions depend on CPU and memory limits, not independently scalable.

C: Memory scales with OCPUs in a fixed ratio, not separately.

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.