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Oracle 1Z0-931-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI Features and Capabilities30%- Apply AI-assisted performance tuning and optimization
- Configure and use AI Vector Search
- Implement Select AI for natural language to SQL generation
- Use Oracle Machine Learning within Autonomous Database
Topic 2: Autonomous Database Architecture and Provisioning25%- Provision and configure Autonomous Database on shared infrastructure
- Provision and configure Autonomous Database on dedicated infrastructure
- Integrate Autonomous Database with Oracle Cloud Infrastructure services
- Describe Autonomous Database architecture and core components
Topic 3: Database Management and Operations25%- Configure auto-scaling and storage management
- Monitor and manage database performance and resources
- Implement backup, recovery and high availability strategies
- Perform patching, upgrades and lifecycle management
Topic 4: Security, Integration and Data Management20%- Configure identity and access management
- Load, migrate and integrate data from various sources
- Use Autonomous Database tools for development and administration
- Implement data encryption and security controls

>> 1Z0-931-26 Exam Topics <<

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Oracle Autonomous AI Database Professional Sample Questions (Q63-Q68):

NEW QUESTION # 63
Which Oracle package is used to load data to an Autonomous Database from object storage?

Answer: B

Explanation:
Loading data into Autonomous Database from object storage (e.g., OCI Object Storage) relies on a specific PL/SQL package. The correct answer is:
DBMS_CLOUD (D): The DBMS_CLOUD package is Oracle&#x2019;s cloud-native tool for interacting with external data sources, including object storage, in Autonomous Database. It provides procedures like DBMS_CLOUD.COPY_DATA to load data from files (e.g., CSV, JSON, Parquet) stored in OCI Object Storage buckets into ADB tables. For example, to load a CSV file sales.csv from a bucket, you&#x2019;d:
BEGIN
DBMS_CLOUD.CREATE_CREDENTIAL(credential_name =&gt; &apos;OBJ_STORE_CRED&apos;, username =&gt; &apos;oci_user&apos;, password =&gt; &apos;auth_token&apos;); DBMS_CLOUD.COPY_DATA(table_name =&gt; &apos;SALES&apos;, credential_name =&gt; &apos;OBJ_STORE_CRED&apos;, file_uri_list =&gt; &apos;https://objectstorage.region.oraclecloud.com/n/namespace/b/bucket/o/sales.csv&apos;, format =&gt; json_object(&apos;type&apos; value &apos;csv&apos;)); END; This package handles authentication (via OCI credentials), file parsing, and data insertion, supporting formats like text, Avro, and ORC. It&#x2019;s integral to ADB&#x2019;s cloud integration, abstracting low-level operations and ensuring security (e.g., via IAM auth).
The incorrect options are:
DBMS_RPC (A): This package doesn&#x2019;t exist in Oracle Database. It might be a typo or confusion with remote procedure calls, unrelated to data loading.
DBMS_LOAD (B): No such package exists. It might confuse with SQL*Loader, but that&#x2019;s a separate utility, not a PL/SQL package, and isn&#x2019;t used directly in ADB for object storage.
DBMS_MIGRATE (C): This doesn&#x2019;t exist either. It might be a misnomer for DBMS_DATAPUMP (for Data Pump), but that&#x2019;s for database migration, not object storage loading.
DBMS_CLOUD is purpose-built for ADB&#x2019;s cloud-first architecture, making data ingestion seamless and efficient.


NEW QUESTION # 64
When you are increasing the number of OCPUs in your Autonomous Database, what does its status show?

Answer: C

Explanation:
Scaling OCPUs in an Autonomous Database triggers a specific status update. The correct answer is:
SCALING IN PROGRESS (D): When you increase (or decrease) the number of OCPUs, the database status in the OCI console changes to &#x201C;SCALING IN PROGRESS.&#x201D; This indicates that the system is actively adjusting the compute resources, a process that typically completes in a few minutes with no downtime for active transactions.
The incorrect options are:
UPSCALE IN PROGRESS (A): &#x201C;Upscale&#x201D; is not an official status term used by Oracle for this operation.
RESIZING IN PROGRESS (B): While &#x201C;resizing&#x201D; might intuitively fit, Oracle specifically uses &#x201C;SCALING IN PROGRESS&#x201D; for CPU adjustments.
UPLIFT IN PROGRESS (C): &#x201C;Uplift&#x201D; is not a recognized status in the context of Autonomous Database scaling.
This status reflects Oracle&#x2019;s terminology for dynamic scaling.


NEW QUESTION # 65
You have been tasked with analyzing a year&#x2019;s worth of sales data stored in an Autonomous Data Warehouse instance. Which tool would you use to automate data exploration and create pivot tables?

Answer: C

Explanation:
Full Detailed In-Depth Explanation:
A: False. APEX is for app development, not data exploration.
B: False. SQL Developer Web is for SQL queries, not pivot tables.
C: True. Business Models in ADW automates data exploration and generates pivot tables.
D: False. Data Load is for importing data, not analysis.


NEW QUESTION # 66
Which statement is true about the use of Access Control Lists (ACLs) with an Autonomous Database on Shared Infrastructure?

Answer: D

Explanation:
ACLs control network access to Autonomous Database on Shared Infrastructure:
Correct Answer (B): &#x201C;When you restore a database, the existing ACLs are not overwritten by the restore&#x201D; is true. ACLs are part of the database&#x2019;s network configuration, preserved during restore operations to maintain security settings.
Incorrect Options:
A: ACLs can include both IP addresses and VCN CIDR blocks simultaneously; they&#x2019;re not mutually exclusive.
C: ACLs apply to public endpoints, not just private ones, to restrict access.
D: ACLs can be modified post-creation, not just at provisioning time.
This ensures consistent security post-restore.


NEW QUESTION # 67
Which is a feature of a graph query language?

Answer: A

Explanation:
Graph query languages, like Oracle&#x2019;s Property Graph Query Language (PGQL), are designed for graph databases:
Correct Answer (D): &#x201C;Ability to specify patterns&#x201D; is a defining feature. Graph queries excel at defining and matching patterns (e.g., nodes and edges) to explore relationships, such as finding paths or subgraphs, critical for applications like social network analysis or fraud detection.
Incorrect Options:
A: Key-value queries are typical of NoSQL key-value stores, not graph databases.
B: While scripting may be possible in some contexts, it&#x2019;s not a core feature of graph query languages.
C: Graph query languages are not inherently object-oriented; they focus on relational graph structures.
This pattern-matching capability distinguishes graph queries from other query paradigms.


NEW QUESTION # 68
......

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