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| Section | Objectives |
|---|---|
| Topic 1: Security and Integration | - Implement database security features - Automate administrative tasks - Integrate with Oracle Cloud services |
| Topic 2: Provisioning and Deployment | - Select workload type and deployment options - Create and provision Autonomous AI Database - Configure networking and connectivity |
| Topic 3: Performance, Backup and Recovery | - Performance tuning - High availability and disaster recovery - Backup and restore operations |
| Topic 4: Administration and Operations | - Manage users and security - Scale compute and storage resources - Monitor database health and performance |
これらの有用な知識をよりよく取り入れるために、多くの顧客は、実践する価値のある種類の練習資料を持ちたいと考えています。すべてのコンテンツは明確で、1Z0-931-26実践資料で簡単に理解できます。リーズナブルな価格とオプションのさまざまなバージョンでアクセスできます。すべてのコンテンツは試験の規制に準拠しています。成功することが決まっている限り、1Z0-931-26学習ガイドがあなたの最善の信頼になります
質問 # 24
What are three characteristics of Data Lake data captured in Object Storage? (Choose three.)
正解：A、D、E
解説：
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.
質問 # 25
Your customer wants to permanently disable scheduled maintenance on Autonomous Dedicated Infrastructure to keep their current database version. How can they achieve this?
正解：B
解説：
Oracle Autonomous Database on Dedicated Infrastructure enforces automatic maintenance to ensure security, stability, and performance. The correct answer is:
You cannot permanently disable scheduled Automatic Maintenance (C): Oracle mandates periodic maintenance updates (e.g., patching) to keep the database secure and compliant with the latest fixes. Customers can influence the timing of these updates but cannot disable them permanently. This is a design principle of the Autonomous Database service to reduce administrative overhead while maintaining system integrity.
The incorrect options are:
Change the Automatic Maintenance Schedule to 'No Preference' (A): This setting allows Oracle to determine the maintenance window but does not disable maintenance. It still occurs as scheduled by Oracle.
Change the Automatic Maintenance Schedule to 'None' (B): There is no 'None' option in the maintenance scheduling settings for Autonomous Dedicated Infrastructure. This is not a valid configuration.
Change the Automatic Maintenance Schedule to 'Specify a Schedule' but do not select any month, week, or day (D): This is not a functional workaround. Specifying a schedule requires selecting a valid time window, and leaving it blank does not prevent maintenance; it simply reverts to Oracle’s default scheduling.
Oracle’s documentation confirms that while customers can reschedule or skip specific maintenance runs (up to two consecutive quarters), permanently disabling automatic maintenance is not permitted to ensure the system remains up-to-date and secure.
質問 # 26
A Business Analyst joined your organization and wants to explore the database tools. When restoring or cloning an Autonomous Database (ADB), you must select a backup that is at least how old?
正解：B
解説：
Full Detailed In-Depth Explanation:
When restoring or cloning an Autonomous Database (ADB), Oracle enforces a minimum backup age to ensure data consistency and integrity. The official Oracle documentation specifies that backups used for these operations must be at least 24 hours old. This requirement exists because:
Backups need time to complete and stabilize, ensuring all transactions are fully committed and the backup is consistent.
Recent backups (e.g., less than 24 hours old) may still be in progress or lack full verification, risking incomplete or corrupted restores/clones.
Options B (5 minutes), C (2 hours), and D (1 day) are either too short or redundant:
5 minutes and 2 hours: Too recent, violating the 24-hour rule.
1 day: Matches 24 hours but is less precise than the explicit “24 hours” phrasing in the documentation.
For the Business Analyst’s exploration, they can access tools like SQL Developer Web or Data Load via the OCI Console under the “Tools” tab, but this question focuses on the backup age constraint, making A the best answer.
質問 # 27
What two actions can you do when a refreshable clone passes the refresh time limit? (Choose two.)
正解：B、D
解説：
A refreshable clone in Autonomous Database is a read-only copy of a source database that syncs periodically, but it has a refresh time limit (typically 7 days). Once this limit is exceeded, specific actions are available. The two correct options are:
You can disconnect from the source to make the database a read/write database (B): After the refresh time limit passes, the clone can no longer sync with the source. You can “disconnect” it (via the OCI console or API, e.g., oci db autonomous-database update --is-refreshable-clone false), converting it into an independent, read/write Autonomous Database. This requires a new license and incurs full costs, but it allows modifications (e.g., INSERT or UPDATE) that were blocked in read-only mode. For example, a test clone might be disconnected to become a production instance after testing.
You can use the instance as a read-only database (C): Even after the refresh limit, the clone remains functional as a read-only database, retaining its last refreshed state. You can query it (e.g., SELECT * FROM sales) for analysis or reporting without further refreshes, though it won’t reflect source updates. This is useful if ongoing read-only access suffices without needing write capabilities.
The incorrect options are:
You can manually refresh the clone (A): False. Once the refresh time limit (e.g., 7 days) is exceeded, manual refreshes are not possible. The clone’s refresh capability expires, and it can’t sync again unless recreated. This is a fixed constraint to manage resource usage in ADB.
You can extend the refresh time limit (D): False. The refresh period (set during clone creation, max 7 days) cannot be extended after provisioning. You’d need to create a new clone with a longer limit if needed, but post-expiry, no extension is allowed.
These options provide flexibility post-expiry, balancing read-only continuity and full database conversion.
質問 # 28
Which statement is FALSE about Oracle Autonomous JSON Database?
正解：D
解説：
Full Detailed In-Depth Explanation:
The Oracle Autonomous JSON Database is a specialized service for managing JSON data with NoSQL-style capabilities. Let’s evaluate each statement:
A . It supports NoSQL-style, document-centric applications: True. Autonomous JSON Database is designed for NoSQL workloads, supporting document-based applications via APIs like SODA (Simple Oracle Document Access).
B . There is a 20 GB limit on JSON collection: False. The Oracle documentation does not specify a fixed 20 GB limit on JSON collections. Storage capacity is determined by the overall database size, which can scale dynamically without a specific cap on individual collections. This makes B the false statement.
C . JSON data is stored natively in the database: True. JSON data is stored in a binary format optimized for performance, avoiding the need for parsing or transformation during access.
D . You can promote Autonomous JSON Database to Autonomous Transaction Processing: True. Oracle allows promoting an Autonomous JSON Database to ATP, enabling relational capabilities if application needs evolve.
The false claim about a 20 GB limit likely stems from confusion with other database constraints, but no such restriction exists for JSON collections in Autonomous JSON Database.
質問 # 29
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