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| Section | Objectives |
|---|---|
| Security and Integration | - Automate administrative tasks - Integrate with Oracle Cloud services - Implement database security features |
| Provisioning and Deployment | - Create and provision Autonomous AI Database - Configure networking and connectivity - Select workload type and deployment options |
| Administration and Operations | - Scale compute and storage resources - Monitor database health and performance - Manage users and security |
| Performance, Backup and Recovery | - Backup and restore operations - High availability and disaster recovery - Performance tuning |
>> Certification 1Z0-931-26 Test Questions <<
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NEW QUESTION # 103
Which vaults are used for storing customer-managed encryption keys for Autonomous Database on Dedicated Infrastructure?
Answer: B
Explanation:
Autonomous Database on Dedicated Infrastructure supports customer-managed encryption (CME) keys for enhanced security control. The correct vaults are:
Oracle Key Vault, Oracle Cloud Infrastructure Vault (D):
Oracle Key Vault (OKV): A centralized key management solution designed for Oracle environments, OKV securely stores and manages encryption keys. It integrates with Autonomous Database to provide customer-managed TDE (Transparent Data Encryption) keys, offering features like key rotation and auditing. For example, a DBA might upload a master encryption key to OKV, which the database then uses to encrypt data at rest.
Oracle Cloud Infrastructure Vault (OCI Vault): OCI Vault is a general-purpose secrets management service in OCI, capable of storing encryption keys, passwords, and other sensitive data. It supports storing TDE keys for Autonomous Database, providing a cloud-native option with high availability and scalability. You might store a key in OCI Vault and link it to your database via the OCI console.
The incorrect options are:
Oracle Audit Vault, Oracle Key Vault (A): Oracle Audit Vault is for audit log management and analysis, not key storage. It doesn’t support CME for Autonomous Database.
Oracle Cloud Infrastructure Vault, Oracle Database Vault (B): Oracle Database Vault enforces access controls within the database but isn’t a key storage vault; it’s about privilege management, not key management.
Oracle Database Vault, Oracle Key Vault (C): As above, Database Vault isn’t a key storage solution, making this pairing incorrect.
Both OKV and OCI Vault offer robust security for CME, giving customers flexibility based on their infrastructure preferences (on-premises OKV vs. cloud-based OCI Vault).
NEW QUESTION # 104
Which two methods can you use to create database users and grant roles in Autonomous Database services?
Answer: A,B
Explanation:
Full Detailed In-Depth Explanation:
User and role management in Autonomous Database:
A: False. OCI console manages infrastructure, not database users.
B: True. SQL Developer provides a GUI for user/role administration.
C: False. DBMS_CLOUDADMIN is for cloud-specific tasks, not user creation.
D: True. SQL*Plus allows direct SQL commands for user/role management.
NEW QUESTION # 105
For someone that is not a service administrator to use SQL Developer Web, what package would you need to use to give them access?
Answer: B
Explanation:
SQL Developer Web in Autonomous Database relies on Oracle REST Data Services (ORDS) for access. The correct package is:
ORDS_ADMIN.ENABLE_SCHEMA (B): To allow a non-admin user (e.g., ANALYST1) to use SQL Developer Web, the ADMIN user executes ORDS_ADMIN.ENABLE_SCHEMA to enable the schema for ORDS access. This procedure activates the schema for RESTful services, granting privileges like CONNECT and SELECT implicitly for web-based SQL execution. Example:
BEGIN
ORDS_ADMIN.ENABLE_SCHEMA(p_schema => 'ANALYST1');
END;
After this, the user accesses SQL Developer Web via a URL (e.g., https://<adb-host>/ords/analyst1/_sdw), logging in with their database credentials. This is necessary because SQL Developer Web runs on ORDS, and only enabled schemas can interact with it. For instance, an analyst might query SELECT * FROM sales in the web interface post-enablement, without needing full admin rights.
The incorrect options are:
ORDS_ADMIN.GRANT_SCHEMA (A): No such procedure exists in ORDS_ADMIN. Granting is handled via database roles/privileges (e.g., GRANT CONNECT), not a specific ORDS grant function.
ORDS_PRIV.ENABLE_SCHEMA (C): There’s no ORDS_PRIV package; this might confuse with ORDS_ADMIN. The correct package is ORDS_ADMIN for schema enablement.
SQLDEV_ADMIN.GRANT_SCHEMA (D): No SQLDEV_ADMIN package exists. SQL Developer Web access is managed through ORDS, not a separate SQL Developer-specific package.
ORDS_ADMIN.ENABLE_SCHEMA is the standard, secure way to enable non-admin access to this tool in ADB.
NEW QUESTION # 106
Which tab in the Data Load Explore tool shows the size of the table and the number of rows and columns?
Answer: B
Explanation:
The Data Load Explore tool in Autonomous Database helps users analyze loaded data. The correct tab is:
Statistics tab (B): The Statistics tab displays detailed metadata about a table, including its size (e.g., in MB or GB), number of rows, and number of columns. For example, after loading a CSV into a table SALES, this tab might show “Rows: 10,000, Columns: 5, Size: 2.3 MB,” providing a quick overview of the dataset’s scale and structure. It’s designed for understanding data volume and composition, aiding decisions like partitioning or indexing.
The incorrect options are:
Hierarchies tab (A): This tab shows hierarchical relationships in the data (e.g., parent-child links), not basic table metrics like size or row count. It’s more about data organization than statistics.
Data Sources tab (C): This tab lists the sources of loaded data (e.g., OCI Object Storage buckets or files), not the resulting table’s properties. It focuses on origin, not metrics.
Measures tab (D): The Measures tab defines numerical aggregates (e.g., sum of sales), used for analytics, not raw table statistics like row or column counts.
The Statistics tab is the go-to for table sizing details in Data Load Explore.
NEW QUESTION # 107
Which predefined role that exists in Autonomous Database includes common privileges that are used by a Data Warehouse developer? (Choose the best answer.)
Answer: D
Explanation:
Autonomous Database provides predefined roles tailored to specific use cases. The correct answer is:
DWROLE (B): The DWROLE predefined role is designed for Data Warehouse developers. It includes privileges commonly needed for data warehousing tasks, such as creating tables, views, and materialized views, as well as executing analytical queries. This role is optimized for Autonomous Data Warehouse (ADW) workloads.
The incorrect options are:
ADBDEV (A): There is no predefined ADBDEV role in Autonomous Database; this appears to be a fictional or misinterpreted role.
ADMIN (C): The ADMIN role is a superuser role with full database privileges, far exceeding the needs of a typical Data Warehouse developer and not tailored to that specific use case.
ADWC (D): This is not a predefined role; it might be a typo or confusion with ADW (Autonomous Data Warehouse), but no such role exists.
DWROLE is the best fit for a Data Warehouse developer’s needs.
NEW QUESTION # 108
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