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| Section | Objectives |
|---|---|
| Provisioning and Deployment | - Configure networking and connectivity - Create and provision Autonomous AI Database - Select workload type and deployment options |
| Performance, Backup and Recovery | - Performance tuning - High availability and disaster recovery - Backup and restore operations |
| Security and Integration | - Implement database security features - Integrate with Oracle Cloud services - Automate administrative tasks |
| Administration and Operations | - Scale compute and storage resources - Manage users and security - Monitor database health and performance |
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NEW QUESTION # 18
When working with an Autonomous Exadata Infrastructure supporting Autonomous Databases, where do you go to view the maintenance history of the Exadata?
Answer: D
Explanation:
Viewing the maintenance history of Autonomous Exadata Infrastructure (AEI) requires navigating the OCI console correctly. The correct path is:
Under Solutions and Platforms then Platform Services then Autonomous Exadata (C): In the OCI console, AEI is categorized under “Solutions and Platforms” (a section for integrated services), then “Platform Services” (covering cloud platform offerings), and finally “Autonomous Exadata.” Here, you select your AEI instance (e.g., by name or OCID), and the details page displays a “Maintenance History” section listing past events (e.g., patching dates, durations, and statuses like “Completed on 2025-03-01”). For example, a quarterly RU applied on January 15 might show “Patch Applied: RU 23.1” with start/end times. This path reflects AEI’s role as a dedicated platform supporting Autonomous Container Databases (ACDs) and Autonomous Databases (ADBs).
The incorrect options are:
Under Core Infrastructure then Compute then Autonomous Exadata (A): “Core Infrastructure” > “Compute” is for virtual machines or bare metal hosts, not Exadata infrastructure. AEI isn’t a compute instance; it’s a database platform.
Under Database then Autonomous Transaction Processing then Autonomous Exadata (B): “Database” > “Autonomous Transaction Processing” focuses on ATP instances, not the underlying Exadata infrastructure. AEI maintenance is separate from specific ADB types.
Under Core Infrastructure then Autonomous Exadata (D): “Core Infrastructure” doesn’t directly list AEI; it’s too broad and lacks the “Platform Services” context needed for Exadata-specific management.
This navigation ensures you access AEI-specific maintenance details efficiently.
NEW QUESTION # 19
You created an Autonomous Database without auto scaling. Which two ways can you enable auto scaling? (Choose two.)
Answer: B,C
Explanation:
Enabling auto scaling on an existing Autonomous Database can be done without unnecessary complexity:
Correct Answer (A): “Click Scale Up/Down and select the Auto Scaling checkbox” is the simplest GUI method. In the OCI Console, navigate to the database, select “Scale Up/Down,” and enable the auto scaling option, allowing up to 3x the base OCPUs dynamically.
Correct Answer (C): “Use a REST call to enable Auto Scaling” leverages the OCI REST API to update the database configuration with the isAutoScalingEnabled parameter set to true. This is ideal for programmatic control.
Incorrect Options:
B: Shutting down the instance is unnecessary; auto scaling can be enabled while the database is running.
D: Multiple REST calls, including shutdown and restart, overcomplicate the process when a single API call suffices.
These methods ensure minimal disruption and efficient resource management.
NEW QUESTION # 20
Which subset of services is offered via OCI-CLI (Command Line Interface) for Autonomous Database (ADB) via calls made to the OCI APIs?
Answer: B
Explanation:
The OCI Command Line Interface (CLI) provides a range of commands for managing Autonomous Database via OCI APIs. The correct answer is:
Create, Get, List, Stop, Restore (B): These are key operations supported by the OCI CLI for Autonomous Database:
Create: oci db autonomous-database create provisions a new ADB instance.
Get: oci db autonomous-database get retrieves details of a specific ADB.
List: oci db autonomous-database list lists all ADBs in a compartment.
Stop: oci db autonomous-database stop halts the database.
Restore: oci db autonomous-database restore restores from a backup.
The incorrect options are:
A (Start, Delete, Update, Query, Stop): “Query” is not a CLI command; “Delete” and “Update” are valid but not part of this specific subset.
C (Create, Query, Update, List, Start): “Query” is invalid; “Update” is supported but not listed here.
D (Create, Query, List, Stop, Restore): “Query” is not a valid CLI operation.
This subset reflects common management tasks via CLI.
NEW QUESTION # 21
Which four file formats are supported when loading data from Cloud Storage?
Answer: A,B,C,F
Explanation:
Full Detailed In-Depth Explanation:
Supported formats:
A: False. DDL is a language, not a data format.
B: True. AVRO is supported for structured data.
C: True. Parquet is optimized for analytics.
D: False. DOC is not supported.
E: True. JSON is flexible for semi-structured data.
F: True. CSV is widely used for tabular data.
NEW QUESTION # 22
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 # 23
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