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| Section | Objectives |
|---|---|
| Topic 1: Security and Integration | - Implement database security features - Integrate with Oracle Cloud services - Automate administrative tasks |
| Topic 2: Administration and Operations | - Scale compute and storage resources - Monitor database health and performance - Manage users and security |
| Topic 3: Performance, Backup and Recovery | - High availability and disaster recovery - Performance tuning - Backup and restore operations |
| Topic 4: Provisioning and Deployment | - Select workload type and deployment options - Configure networking and connectivity - Create and provision Autonomous AI Database |
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NEW QUESTION # 86
Where are the customer-managed encryption keys stored for Autonomous Database on Dedicated Infrastructure?
Answer: D
Explanation:
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.
D: Backups don’t store keys; they’re encrypted by keys from the vault.
This separation ensures robust key management.
NEW QUESTION # 87
Which workload type does the Autonomous Database on dedicated infrastructure service currently support?
Answer: B
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 # 88
An Autonomous Database user with an instance wallet has left the company. The user had shared a database user ID with other users when accessing the Autonomous Database. Other than changing the shared user password, what can an administrator do to protect the instance?
Answer: A
Explanation:
Securing an Autonomous Database after a user departs involves:
Correct Answer (C): “Rotate the instance wallet and share the new wallet with the remaining users” invalidates the old wallet’s credentials (e.g., certificates in ewallet.p12). Since the wallet secures client connections, rotating it ensures the departed user’s access is revoked, even if they retained a copy.
Incorrect Options:
A: Trusting the user is a security risk, not a solution.
B: Deleting the database user ID doesn’t address wallet-based access if credentials were shared externally.
D: Shutting down and restarting doesn’t revoke wallet access; it’s a temporary disruption.
This enhances security beyond password changes.
NEW QUESTION # 89
Autonomous Database's auto scaling feature allows your database to use up to three times the current base number of OCPU cores at any time. As demand increases, auto scaling automatically increases the number of cores in use. Likewise, as demand drops, auto scaling automatically decreases the number of cores in use. Which statement is FALSE regarding the auto scaling feature?
Answer: D
Explanation:
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” is false. 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.
D: Auto scaling is not enabled by default (must be explicitly activated) and can be toggled on/off, though this statement’s phrasing could be clearer—it’s still true in context.
This guarantees predictable minimum performance while allowing flexibility for peak loads.
NEW QUESTION # 90
Which is a feature of a graph query language?
Answer: C
Explanation:
Graph query languages, like Oracle’s Property Graph Query Language (PGQL), are designed for graph databases:
Correct Answer (D): “Ability to specify patterns” 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’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 # 91
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