1z0-931-25 Exam Dumps - Oracle Cloud Infrastructure Questions and Answers

The Data Load card in Database Actions (within ADB’s web interface) simplifies data loading. The false statement is:

You must first manually create your database credentials using DBMS_CLOUD.CREATE_CREDENTIAL before accessing your Oracle Object Storage Bucket (D):This is incorrect. The Data Load card automates credential management for Oracle Object Storage by leveraging the ADB instance’s IAM permissions. When you select an OCI Object Storage bucket in the UI, it uses the instance’s resource principal or user OCI credentials (e.g., from your signed-in OCI session), eliminating the need to manually run DBMS_CLOUD.CREATE_CREDENTIAL. For example, uploading sales.csv from a bucket via the Data Load card requires only bucket selection and file mapping—no PL/SQL credential setup. This automation enhances usability, contrasting with manual methods where CREATE_CREDENTIAL is needed (e.g., in SQL scripts).

The true statements are:

Data formats supported include: text, CSV, JSON, Avro, and Parquet (A):The Data Load card supports these formats, parsing them into tables using DBMS_CLOUD under the hood. E.g., a JSON file { "id": 1, "name": "John" } loads as rows.

Data can be loaded from a local data source (B):You can upload files directly from your local machine (e.g., a CSV on your desktop) via the browser interface, staging them temporarily for loading.

Data can be uploaded from several cloud storage sources including S3, Azure, Google Cloud, and Oracle Object Storage (C):The card supports these external cloud sources, requiring credentials (e.g., AWS keys), alongside native OCI Object Storage integration.

Data can be loaded from a remote database using Database Links (E):DBLinks allow pulling data from another Oracle database (e.g., INSERT INTO local_table SELECT * FROM remote_table@link), supported in the Data Load card.

The automation of credentials in D is a key differentiator for the UI-based Data Load feature.

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.

Autonomous Data Warehouse (ADW) uses consumer groups (High, Medium, Low) to manage resource allocation:

Correct Answer (A): “Low provides highest concurrency and lowest resources, and DoP is 1” is true. The Low group is designed for many lightweight, short-running queries, offering maximum concurrent sessions but minimal CPU/memory per session, with a Degree of Parallelism (DoP) of 1 (serial execution).

Incorrect Options:

B: High prioritizes resources, not concurrency; it has fewer sessions with more power.

C: Medium offers balanced resources and concurrency; queries can run in parallel (DoP > 1), not just serially.

Provisioning dedicated Exadata Infrastructure resources for Autonomous Database follows a strict hierarchical order, reflecting roles and dependencies. The correct sequence is:

The Fleet Administrator provisions the Autonomous Exadata Infrastructure and then the Autonomous Container DB and then, the Database Administrator provisions the Autonomous DB (A):

Fleet Administrator provisions Autonomous Exadata Infrastructure (AEI):The Fleet Admin, responsible for infrastructure management, starts by provisioning the AEI via the OCI console (e.g., “Create Autonomous Exadata Infrastructure”). This sets up the physical Exadata hardware, networking (e.g., VCN, subnets), and initial configuration (e.g., 2 racks, 4 nodes). For example, they might specify a compartment and region (e.g., us-ashburn-1), taking 1-2 hours for provisioning.

Fleet Administrator provisions Autonomous Container DB (ACD):Within the AEI, the Fleet Admin creates the ACD (e.g., “Create Autonomous Container Database”), a lightweight container hosting multiple ADBs. They set parameters like version (e.g., 19c) and maintenance windows (e.g., Sundays 02:00 UTC), ensuring the container is ready. This step might take 15-30 minutes.

Database Administrator provisions Autonomous DB (ADB):Finally, the DBA provisions individual ADBs within the ACD (e.g., “Create Autonomous Database”), choosing workload type (ATP/ADW), OCPUs (e.g., 4), and storage (e.g., 1 TB). For instance, they might create an ATP instance named PRODDB for a transactional app, completing setup in 5-10 minutes.

The incorrect options are:

B:The DBA can’t provision the ACD or ADB before the AEI exists, as the infrastructure is foundational. The Fleet Admin must act first.

C:The DBA doesn’t provision AEI—that’s an infrastructure task beyond their scope. The Fleet Admin handles hardware setup.

D:The DBA can’t provision the ACD; that’s a Fleet Admin task within the AEI. Roles are distinct: Fleet Admin for infra, DBA for databases.

This order ensures proper infrastructure setup before database creation, aligning with OCI’s role-based workflow.

Oracle recommends best practices for effective alarm management:

Correct Answer (A):Suppress alarms during investigationsprevents notification overload while troubleshooting, focusing attention on the issue.

Correct Answer (C):Select the correct alarm interval for your metricensures timely alerts without excessive noise (e.g., 1-minute intervals for critical metrics).

Correct Answer (D):Routinely tune your alarmsadjusts thresholds and settings to match workload changes, maintaining relevance.

Incorrect Option:

Full Detailed In-Depth Explanation:

Autonomous Database on Dedicated Infrastructure comprises:

Autonomous Exadata Infrastructure:The hardware and software foundation.

Autonomous Container Database:Hosts multiple ADB instances.

Autonomous Database:The managed database instance.

Autonomous Backup:Automatic backups to OCI Object Storage.

Other options include roles (B, C) or general OCI resources (D), not core components of the service. A is the correct composition.

Provisioning dedicated Exadata Infrastructure resources for Autonomous Database follows a specific hierarchical order:

Fleet Administrator, Autonomous Exadata Infrastructure -> Autonomous Container DB -> Database Administrator -> Autonomous DB (A):

Fleet Administrator provisions Autonomous Exadata Infrastructure:The Fleet Administrator, responsible for infrastructure management, first sets up the Autonomous Exadata Infrastructure (AEI), which includes the physical Exadata hardware and networking configuration.

Fleet Administrator provisions Autonomous Container DB (ACD):Within the AEI, the Fleet Administrator creates the ACD, a container that hosts multiple Autonomous Databases.

Database Administrator provisions Autonomous DB:Finally, the Database Administrator (DBA) provisions individual Autonomous Databases within the ACD, configuring them for specific workloads (e.g., ATP or ADW).

The incorrect options are:

B:The Database Administrator cannot provision the ACD before the AEI is set up by the Fleet Administrator.

C and D:The Database Administrator does not provision the AEI or ACD; these are infrastructure-level tasks handled by the Fleet Administrator.

This order ensures proper separation of infrastructure and database management responsibilities.

Auto scaling in Autonomous Database dynamically adjusts OCPU usage up to three times the base allocation. Let’s evaluate each statement:

Correct Answer (C): “The base number of OCPU cores allocated to a database is not guaranteed” isfalse. The base OCPU count, set during provisioning or manual scaling, is always guaranteed as the minimum available resource, even with auto scaling enabled. Auto scaling only increases usage above this baseline when needed.

True Statements:

A: On dedicated Exadata, the max cores for auto scaling are constrained by available free cores not used by other databases, ensuring resource fairness.

B: The total cores in the Exadata instance define the upper limit for any database’s auto scaling capacity.

Oracle Data Pump is a key tool for migrating databases to Autonomous Database. The two objects imported are:

Data (B):Data Pump imports the actual data from the source database into the target Autonomous Database. This includes rows from tables, LOBs, and other data types stored in the dump file (e.g., .dmp). For example, if you export a table CUSTOMERS with 1 million rows, Data Pump imports all that data into ADB using DBMS_CLOUD.COPY_DATA after uploading the dump to OCI Object Storage. This ensures the content of your database is transferred intact.

Schemas (C):Data Pump imports schema definitions, including tables, views, indexes, triggers, and other objects owned by the schema. For instance, exporting a schema HR with tables like EMPLOYEES and DEPARTMENTS will recreate those objects in ADB, preserving their structure. The impdp utility or DBMS_CLOUD handles schema metadata, though some objects (e.g., indexes) may be recreated automatically by ADB’s optimization.

The incorrect options are:

Tablespaces (A):Tablespaces are not imported directly. In Autonomous Database, storage is fully managed, and tablespaces are abstracted away. Data Pump imports data and schemas into ADB’s managed tablespaces (e.g., DATA), not user-defined ones from the source. For example, a source tablespace USERS isn’t replicated; its data is mapped to ADB’s default storage.

Report (D):“Report” is not a database object; it might refer to query outputs or logs, but Data Pump doesn’t import such entities. It focuses on database content, not external artifacts.

This process ensures a smooth migration of data and structure to ADB’s managed environment.

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, afterloading 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.