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| Section | Weight | Objectives |
|---|---|---|
| Database Management and Operations | 25% | - Implement backup, recovery and high availability strategies - Configure auto-scaling and storage management - Monitor and manage database performance and resources - Perform patching, upgrades and lifecycle management |
| AI Features and Capabilities | 30% | - Use Oracle Machine Learning within Autonomous Database - Configure and use AI Vector Search - Implement Select AI for natural language to SQL generation - Apply AI-assisted performance tuning and optimization |
| Autonomous Database Architecture and Provisioning | 25% | - Describe Autonomous Database architecture and core components - Provision and configure Autonomous Database on shared infrastructure - Integrate Autonomous Database with Oracle Cloud Infrastructure services - Provision and configure Autonomous Database on dedicated infrastructure |
| Security, Integration and Data Management | 20% | - Implement data encryption and security controls - Load, migrate and integrate data from various sources - Configure identity and access management - Use Autonomous Database tools for development and administration |
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NEW QUESTION # 67
How can an Autonomous Database resource be provisioned without logging into the Oracle Cloud Infrastructure Console?
Answer: B
Explanation:
Provisioning an Autonomous Database without using the OCI Console is possible through programmatic methods. The correct answer is:
Using the cloud infrastructure command line interface or REST API calls (D): The Oracle Cloud Infrastructure Command Line Interface (OCI CLI) and REST APIs allow users to provision and manage Autonomous Database resources programmatically. This method is ideal for automation or when GUI access is not preferred. For example, the OCI CLI command oci db autonomous-database create can be used to provision a database by specifying parameters like compartment ID, database name, and workload type. Similarly, a REST API POST request to /autonomousDatabases achieves the same result.
The incorrect options are:
Using the DBCA on the database server (A): The Database Configuration Assistant (DBCA) is a tool for on-premises Oracle databases, not for cloud-based Autonomous Databases, which are fully managed by Oracle.
Connecting to the cloud infrastructure console using the SSH wallet (B): SSH wallets are for secure shell access to compute instances, not for provisioning databases or interacting with the OCI Console.
It cannot be done (C): This is false, as programmatic provisioning via CLI or API is explicitly supported.
This capability enhances automation and integration into DevOps workflows.
NEW QUESTION # 68
Which two actions can you perform with Autonomous Data Guard enabled on Autonomous Database on Shared Infrastructure? (Choose two.)
Answer: B,C
Explanation:
Autonomous Data Guard on Shared Infrastructure enhances ADB availability with standby databases. The two correct actions are:
Switchover (C): A switchover swaps roles between the primary and standby databases in a planned manner, with no data loss (RPO = 0). You initiate this via the OCI console (e.g., “Switchover” button on the primary ADB’s Data Guard section) or API (e.g., oci db autonomous-database switchover). For example, before maintenance on the primary, you switch to the standby in another region (e.g., from us-ashburn-1 to us-phoenix-1), taking ~2 minutes (RTO ≈ 2 min). This ensures continuity without downtime, as the standby becomes primary seamlessly.
Failover (D): A failover promotes the standby to primary during an unplanned outage (e.g., primary region failure), also with RPO = 0 due to synchronous replication. Trigger it via the OCI console (e.g., “Failover” on the standby) or API (e.g., oci db autonomous-database failover). For instance, if us-ashburn-1 crashes, the standby in us-phoenix-1 takes over in ~2 minutes, preserving all committed transactions. It’s automatic in some cases (e.g., severe failure), but manual initiation is supported too.
The incorrect options are:
View Apply Lag (A): While relevant in traditional Data Guard (measuring replication delay), Autonomous Data Guard on shared ADB uses synchronous replication (zero lag), and apply lag isn’t a user-actionable metric exposed in the UI—monitoring focuses on role status, not lag.
Reinstate (B): Reinstatement (restoring a failed primary as a standby) isn’t a user action in shared infrastructure. Oracle manages post-failover recovery, and users can’t manually reinstate; a new standby might be provisioned instead.
Change Protection Mode (E): Traditional Data Guard offers modes (e.g., Maximum Availability), but in Autonomous Data Guard on shared infrastructure, the mode is fixed (synchronous, akin to Maximum Availability), and users can’t modify it—control is limited to switchover/failover.
These actions ensure high availability with user-initiated role changes.
NEW QUESTION # 69
You are the admin of an Autonomous Database (ADB) instance, and a new developer has requested a new workspace in APEX. What statement describes the step to provide the developer a new workspace in APEX?
Answer: D
Explanation:
Oracle APEX (Application Express) in Autonomous Database requires a workspace for development:
Correct Answer (A): “Access the APEX Administrator Services and create the workspace for the developer” is the correct step. As an admin, you log into the APEX Administration Services (via Database Actions or a direct URL), navigate to “Manage Workspaces,” and create a new workspace, assigning it to the developer with a schema and credentials.
Incorrect Options:
B: Creating an IDCS (Identity Cloud Service) user with an APEX role manages authentication but doesn’t create a workspace.
C: A database user with an APEX role lacks a workspace; it’s a prerequisite step, not the solution.
D: “Create a new developer account” is vague and doesn’t specify the APEX workspace creation process.
This ensures the developer has a dedicated environment for building applications.
NEW QUESTION # 70
What are three characteristics of Data Lake data captured in Object Storage? (Choose three.)
Answer: B,C,D
Explanation:
Data Lakes in OCI Object Storage store raw data for analysis. The three correct characteristics are:
Schema on read (C): Data Lakes store data in its raw, native format (e.g., JSON, CSV, Parquet) without a predefined schema. The schema is applied when data is read or processed, not when written, offering flexibility. For example, a Parquet file with sales data might be queried with SQL only when analyzed, not structured upfront like in a database.
Multiple subject areas (D): Data Lakes aggregate data from diverse sources—sales, HR, IoT—spanning multiple subject areas. This enables cross-domain analysis, like combining customer data with weather data for insights, all stored in a single OCI bucket.
Mixed data types (E): Data Lakes support varied formats: structured (e.g., CSV tables), semi-structured (e.g., JSON documents), and unstructured (e.g., videos). For instance, a bucket might hold CSV logs, JSON events, and image files, all accessible for processing.
The incorrect options are:
High concurrency (A): Data Lakes in Object Storage are not designed for high-concurrency transactional access (e.g., thousands of simultaneous updates). They’re optimized for batch processing or analytics, unlike ATP’s concurrency focus.
High transaction performance (B): Transactional performance (e.g., fast commits) is a database strength, not a Data Lake’s. Object Storage prioritizes scalability and durability over transactional speed, making it unsuitable for OLTP workloads.
These traits make Data Lakes ideal for big data analytics, not real-time transactions.
NEW QUESTION # 71
Which option should you use to create a graph with Graph Studio?
Answer: C
Explanation:
Graph Studio in Autonomous Database enables graph creation and analysis:
Correct Answer (A): “Tables in an Autonomous Database instance” are used to create graphs. Graph Studio builds property graphs from relational tables by defining vertices (nodes) and edges (relationships) based on existing data, leveraging the database’s schema.
Incorrect Options:
B: Graph analytics algorithms analyze existing graphs, not create them.
C: NoSQL configuration is unrelated; Graph Studio uses relational data.
D: No external tool from oracle.com is required; Graph Studio is a built-in feature.
E: A license key isn’t a creation method; graph features are included with Autonomous Database.
This integrates graph capabilities with existing data.
NEW QUESTION # 72
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