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| Section | Objectives |
|---|---|
| Topic 1: Performance, Backup and Recovery | - High availability and disaster recovery - Backup and restore operations - Performance tuning |
| Topic 2: Provisioning and Deployment | - Select workload type and deployment options - Configure networking and connectivity - Create and provision Autonomous AI Database |
| Topic 3: Administration and Operations | - Manage users and security - Monitor database health and performance - Scale compute and storage resources |
| Topic 4: Security and Integration | - Implement database security features - Automate administrative tasks - Integrate with Oracle Cloud services |
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質問 # 20
For fleet admins to access dedicated Exadata infrastructure, which policy should be assigned?
正解：C
解説：
Fleet administrators managing dedicated Exadata infrastructure in Oracle Autonomous Database require broad permissions across all Autonomous Database resources, including those on dedicated infrastructure.
Correct Answer (B): The policy Allow group adb-admins to manage autonomous-database-family in tenancy grants comprehensive management rights over the entire Autonomous Database family, including dedicated Exadata infrastructure. The autonomous-database-family resource type encompasses all Autonomous Database resources (shared and dedicated) within the tenancy, making it suitable for fleet admins.
Incorrect Options:
A: Limits permissions to databases with the OLTP workload type (Autonomous Transaction Processing), excluding Data Warehouse (DW) or other types on dedicated infrastructure.
C: Restricts access to DW workload types only, omitting OLTP and other configurations.
D: Grants permissions only to autonomous-database resources, which may not fully cover dedicated infrastructure components like Autonomous Container Databases or Exadata Infrastructure.
This policy ensures fleet admins have the necessary scope to manage all aspects of dedicated deployments.
質問 # 21
A corporation is building a web application to allow its customers to schedule service requests online. There is also a need to run operational reports at times during non-peak hours. The architecture team is debating whether such reports should be run on the OLTP database or in a separate data mart. The DBA Manager does not want to add any more admin responsibility to the team and is looking for a database option that’s low to zero maintenance, but meets their strict performance requirements as well. Which Oracle Cloud Infrastructure database service is appropriate for this scenario?
正解：D
解説：
The scenario requires a low-maintenance, high-performance database for an OLTP web application with occasional reporting. The correct answer is:
ATP using 'tpurgent' and 'high' TNS services to separate connection types (A): Autonomous Transaction Processing (ATP) is ideal here. It’s a fully managed database optimized for OLTP workloads (e.g., scheduling service requests) with zero maintenance overhead—Oracle handles patching, backups, and tuning. ATP supports multiple connection services:
'tpurgent': Prioritizes low-latency, time-critical transactions (e.g., customer scheduling requests), ensuring fast response times for the web app.
'high': Suited for high-concurrency or reporting queries, allowing operational reports to run during non-peak hours without impacting the OLTP workload.
By using these predefined services, the architecture separates transactional and reporting workloads within the same database, meeting performance needs without additional administration. For example, the web app connects via tpurgent for real-time updates, while a reporting tool uses high for batch queries at night, leveraging ATP’s auto-scaling if needed.
The incorrect options are:
Since the application needs to be highly available, it should be deployed on a Kubernetes Cluster (B): This misinterprets the question—it’s about the database service, not the application deployment. Kubernetes is for container orchestration, not a database solution, and adds complexity counter to the low-maintenance goal.
It is best to build a separate data warehouse, and move the OLTP data on a nightly basis (C): While a separate Autonomous Data Warehouse (ADW) could handle reporting, it requires data movement (e.g., via ETL), increasing admin effort and complexity, which the DBA Manager wants to avoid. ATP can handle both workloads with proper service separation.
ADW since operational reporting is a higher priority in this scenario (D): ADW is optimized for analytics, not OLTP. The web app’s transactional needs are primary, with reporting secondary and occasional, making ATP more suitable.
ATP’s self-managing nature and service flexibility make it the best fit.
質問 # 22
What REST verb is used to create an Autonomous Database service using REST APIs?
正解：B
解説：
Full Detailed In-Depth Explanation:
REST APIs use HTTP verbs:
A: True. POST creates new resources, such as an Autonomous Database instance.
B: False. GET retrieves data, not creates.
C: False. PUT updates existing resources.
D: False. INSERT is not a REST verb; it’s SQL-specific.
質問 # 23
Which three options are supported when migrating to Autonomous Database (ADB)? (Choose three.)
正解：B、D、F
解説：
Migrating to Autonomous Database supports multiple methods. The three correct options are:
GoldenGate on-premise installation (A): Oracle GoldenGate (on-prem) replicates data from source databases (e.g., Oracle, MySQL) to ADB, supporting real-time or batch migration. You install GoldenGate on-prem, configure extract/replicat processes (e.g., extracting from an Oracle 19c source), and target an ADB instance using credentials and wallet. For example, it might sync an on-prem ORDERS table to ADB with near-zero latency, ideal for live migrations.
GoldenGate Cloud Service (D): GoldenGate Cloud Service, a managed OCI offering, performs the same replication but runs in the cloud. You provision it via OCI Marketplace, configure it to pull from a source (e.g., on-prem or another cloud), and push to ADB. For instance, it could replicate a SaaS database to ADB for analytics, minimizing on-prem overhead. Both GoldenGate options support initial loads and continuous sync.
Data Pump export/import (E): Data Pump exports data/schemas from a source (e.g., expdp hr/hr schemas=HR directory=DATA_PUMP_DIR) to a dump file, which you upload to OCI Object Storage. Then, import into ADB using DBMS_CLOUD.COPY_DATA (e.g., targeting a HR schema). It’s great for one-time migrations, like moving a 12c database to ADB, with flexibility to exclude objects (e.g., indexes).
The incorrect options are:
RMAN Cross-Platform backup and restore (B): RMAN restores physical backups, but ADB’s managed nature prevents direct RMAN restores—users can’t access the file system. RMAN is used for ADB backups internally by Oracle, not customer migrations.
Data Guard Physical Standby (C): Data Guard creates physical standbys for HA, not migration to ADB. ADB uses Autonomous Data Guard internally, but it’s not a migration tool from external sources.
PDB unplug/plug operation (F): Unplugging/plugging PDBs requires file-level access, unsupported in ADB due to its managed storage. You’d use Data Pump instead for PDB data.
These methods offer robust, flexible migration paths to ADB.
質問 # 24
Which terminology is used to refer to a communication channel for sending messages to a subscription, such as email or SMS, in Oracle Cloud Infrastructure?
正解：A
解説：
In Oracle Cloud Infrastructure (OCI), the Notifications service is used to send messages (e.g., via email, SMS, or HTTP endpoints) to subscribers. The correct terminology for the communication channel is:
Topic (C): A "topic" in OCI Notifications is the named entity that acts as a communication channel. Publishers send messages to a topic, and subscribers (e.g., email addresses, SMS numbers, or custom endpoints) receive those messages based on their subscription to that topic. For example, you might create a topic called "DatabaseAlerts" to send notifications about database events. When a message is published to this topic, all subscribed endpoints (e.g., an email like user@example.com) receive it. This design follows a publish-subscribe (pub/sub) model, making "topic" the central concept for message distribution.
The incorrect options are:
Subject (A): The "subject" is a field within a message (e.g., the subject line of an email), not the channel itself. It describes the content of an individual notification but doesn’t define the mechanism for sending it. For instance, an email notification might have a subject like "Database Maintenance Scheduled," but the topic is the channel delivering it.
Notification (B): A "notification" refers to the actual message being sent (the payload), not the channel through which it travels. It’s the output of the process, not the infrastructure enabling it. For example, a notification might be "Database is down," but it’s sent via a topic.
Event (D): An "event" is an occurrence or trigger (e.g., a database failover) that might generate a notification, but it’s not the channel. Events are inputs that can be monitored by services like OCI Events, which then publish to a topic in Notifications.
The use of "topic" aligns with OCI’s architecture for scalable, decoupled messaging. To illustrate, you’d create a topic in the OCI console under "Notifications," configure subscriptions (e.g., email or SMS), and then use APIs or triggers to publish messages to it. This abstraction ensures flexibility and reliability in message delivery across various protocols.
質問 # 25
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