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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Features and Capabilities | 30% | - Apply AI-assisted performance tuning and optimization - Use Oracle Machine Learning within Autonomous Database - Configure and use AI Vector Search - Implement Select AI for natural language to SQL generation |
| Topic 2: Security, Integration and Data Management | 20% | - Implement data encryption and security controls - Configure identity and access management - Use Autonomous Database tools for development and administration - Load, migrate and integrate data from various sources |
| Topic 3: Database Management and Operations | 25% | - Monitor and manage database performance and resources - Perform patching, upgrades and lifecycle management - Implement backup, recovery and high availability strategies - Configure auto-scaling and storage management |
| Topic 4: Autonomous Database Architecture and Provisioning | 25% | - Describe Autonomous Database architecture and core components - Provision and configure Autonomous Database on dedicated infrastructure - Provision and configure Autonomous Database on shared infrastructure - Integrate Autonomous Database with Oracle Cloud Infrastructure services |
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NEW QUESTION # 78
Which three options do NOT change when enabling auto scaling? (Choose three.)
Answer: A,B,D
Explanation:
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.
Number of OCPUs displayed in the console (D): While the base OCPU count remains static, the effective number of OCPUs in use (up to three times the base) changes dynamically with auto scaling, and this is reflected in the console, making this option subject to change.
This behavior ensures that auto scaling optimizes performance without disrupting foundational database configurations.
NEW QUESTION # 79
Which set of Oracle Cloud Infrastructure metrics is available only for Autonomous Database on Dedicated Infrastructure?
Answer: D
Explanation:
Autonomous Database on Dedicated Infrastructure provides unique metrics due to its Exadata underpinnings:
Correct Answer (C): “IOPS, Storage used by tablespace, Apply and Transport Lag” are specific to dedicated deployments:
IOPS: Measures input/output operations per second, reflecting Exadata storage performance.
Storage used by tablespace: Tracks storage allocation at the tablespace level, unique to dedicated infrastructure’s granular control.
Apply and Transport Lag: Relevant for Data Guard configurations, showing replication delays, available only in dedicated setups with standby databases.
Incorrect Options:
A: Transaction Count, Running Statements, and Sessions are general metrics available in both shared and dedicated environments.
B: CPU and Storage Utilization are standard across all Autonomous Database types.
D: Query Latency, User Calls, and Execute Count are also common metrics, not exclusive to dedicated infrastructure.
These metrics offer deeper insights into dedicated Exadata performance.
NEW QUESTION # 80
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’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’d:
BEGIN
DBMS_CLOUD.CREATE_CREDENTIAL(credential_name => 'OBJ_STORE_CRED', username => 'oci_user', password => 'auth_token'); DBMS_CLOUD.COPY_DATA(table_name => 'SALES', credential_name => 'OBJ_STORE_CRED', file_uri_list => 'https://objectstorage.region.oraclecloud.com/n/namespace/b/bucket/o/sales.csv', format => json_object('type' value 'csv')); END; This package handles authentication (via OCI credentials), file parsing, and data insertion, supporting formats like text, Avro, and ORC. It’s integral to ADB’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’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’s a separate utility, not a PL/SQL package, and isn’t used directly in ADB for object storage.
DBMS_MIGRATE (C): This doesn’t exist either. It might be a misnomer for DBMS_DATAPUMP (for Data Pump), but that’s for database migration, not object storage loading.
DBMS_CLOUD is purpose-built for ADB’s cloud-first architecture, making data ingestion seamless and efficient.
NEW QUESTION # 81
You see a clock icon in the Status column on the SQL Monitoring tab of Performance Hub. What does it indicate?
Answer: C
Explanation:
The Performance Hub in Autonomous Database provides real-time SQL monitoring with status indicators:
Correct Answer (A): A clock icon in the Status column indicates “The SQL statement is queued.” This means the statement is waiting in a queue (e.g., due to resource limits or consumer group settings) and has not yet started executing.
Incorrect Options:
B: An executing statement typically shows a green progress bar or running icon, not a clock.
C: An error would display a red icon or error symbol, often with details in the UI.
D: A completed statement shows a checkmark or similar success indicator.
This visual cue helps identify resource contention or scheduling delays.
NEW QUESTION # 82
What are two differentiators of Oracle Autonomous Database on Dedicated Infrastructure? (Choose two.)
Answer: D,E
Explanation:
Autonomous Database on Dedicated Infrastructure offers unique features:
Correct Answer (A): “Users are offered greater control and isolation starting at the Exadata Cloud Infrastructure level” highlights dedicated hardware (compute, storage, network), ensuring isolation and performance not available in shared setups.
Correct Answer (E): “Users have more control over the maintenance schedule” allows scheduling maintenance windows, unlike shared infrastructure’s fixed schedules.
Incorrect Options:
B: OS customization is not allowed; Oracle manages the stack fully.
C: No OS access is provided; it’s a managed service.
D: SYS privileges are not unique to dedicated infrastructure; they depend on user roles, not deployment type.
These differentiators enhance control and isolation for enterprise needs.
NEW QUESTION # 83
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