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| Section | Objectives |
|---|---|
| Topic 1: Security and Integration | - Integrate with Oracle Cloud services - Implement database security features - Automate administrative tasks |
| Topic 2: Provisioning and Deployment | - Create and provision Autonomous AI Database - Select workload type and deployment options - Configure networking and connectivity |
| Topic 3: Administration and Operations | - Monitor database health and performance - Manage users and security - Scale compute and storage resources |
| Topic 4: Performance, Backup and Recovery | - Backup and restore operations - High availability and disaster recovery - Performance tuning |
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NEW QUESTION # 38
Which three options do NOT change when enabling auto scaling? (Choose three.)
Answer: A,C,E
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 # 39
Which predefined service connection should you use when running lots of high concurrent queries in an Autonomous Database?
Answer: A
Explanation:
Full Detailed In-Depth Explanation:
Service connections in Autonomous Database:
A . DBNAME_LOW: Optimized for high concurrency with minimal resources per query, ideal for many simultaneous queries.
B . DBNAME_MEDIUM: Balanced concurrency and performance.
C . DBNAME_HIGH: Prioritizes individual query performance, not concurrency.
D . DBNAME_CONCURRENT: Not a valid service name.
NEW QUESTION # 40
Which statement is FALSE about loading data into the Autonomous Database using the Data Load card in Database Actions?
Answer: C
Explanation:
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.
NEW QUESTION # 41
Which workload type does the Autonomous Database on dedicated infrastructure service currently support?
Answer: D
Explanation:
Autonomous Database on dedicated infrastructure supports multiple workload types. The correct answer is:
ATP and ADW (C): Autonomous Database on dedicated infrastructure supports both Autonomous Transaction Processing (ATP) for OLTP workloads (high concurrency, low latency) and Autonomous Data Warehouse (ADW) for analytical workloads (high throughput, complex queries). This dual support allows flexibility within a single dedicated Exadata infrastructure.
The incorrect options are:
Autonomous Transaction Processing only (A): Incorrect, as ADW is also supported.
Hybrid Columnar Compression (B): HCC is a data compression feature, not a workload type; it’s used within ADW but doesn’t define the workload.
Autonomous Data Warehouse only (D): Incorrect, as ATP is also supported.
This versatility is a key feature of dedicated deployments.
NEW QUESTION # 42
Which three event types are supported for Autonomous Database?
Answer: A,B,C
Explanation:
Full Detailed In-Depth Explanation:
Supported events:
A: True. Marks the start of maintenance.
B: False. Not a recognized event type.
C: True. Indicates compartment change start.
D: False. IORM updates are internal, not event-tracked.
E: True. Signals termination completion.
NEW QUESTION # 43
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