1Z0-931-25試験問題解説集、1Z0-931-25学習範囲Japancertアフターシールサービスは、顧客への気配りのある支援ではなく、本物で忠実です。 多くのクライアントは、この点で私たちを称賛するのをやめることはできません。 1Z0-931-25トレーニング資料の標準であるOracle Autonomous Database Cloud 2025 Professionalを支援する厳格な基準があります。 当社はまた、顧客第一です。 そのため、まずあなたの興味のある事実を考慮します。 残念ながら、1Z0-931-25試験問題で試験を失った場合、全額払い戻しを受けるか、他のバージョンを無料で切り替えることができます。 お客様のニーズに基づいたすべての先入観とこれらすべてが、Oracle満足のいく快適な購入サービスを提供するための当社の信念を説明しています。 1Z0-931-25シミュレーションの実践がすべての責任を果たし、予測可能な結果をもたらす可能性があり、Oracle私たちを確実に信じることを後悔することはありません。 Oracle Autonomous Database Cloud 2025 Professional 認定 1Z0-931-25 試験問題 (Q114-Q119):質問 # 114
Which three of the following data sources are available when using the Data Load page on Database Actions?
A. Backup files in block storage
B. Local Files
C. Files in AWS S3 Storage
D. Files in Oracle Cloud Storage
E. REST endpoints
正解：B、C、D
解説：
Full Detailed In-Depth Explanation:
The Data Load page in Database Actions supports loading data from:
A . Local Files: True. Users can upload files from their local device.
B . Files in Oracle Cloud Storage: True. OCI Object Storage is a supported source.
C . REST endpoints: False. REST is not a direct data source for Data Load; it's used for programmatic access.
D . Files in AWS S3 Storage: True. Integration with AWS S3 is supported for cloud flexibility.
E . Backup files in block storage: False. Block storage backups are not accessible via Data Load.
A, B, and D are the correct options per Oracle's documentation.
質問 # 115
In which four ways can Oracle Database optimally access data in Object Storage? (Choose four.)
A. Scan avoidance using columnar pruning for .csv files
B. Scan avoidance using partitioned external tables
C. Optimized data archive using hybrid partitioned tables
D. Optimized data archive using partitioned external tables
E. Scan avoidance using columnar pruning for columnar stores like parquet and orc
F. Scan avoidance using block skipping when reading parquet and orc files
正解：B、C、D、E
解説：
Oracle Database provides several techniques to optimize data access from Object Storage, particularly in the context of Autonomous Database, leveraging external tables and advanced storage formats. The question asks for four correct methods, and based on Oracle documentation, the following are the most applicable:
Correct Answer (A): Scan avoidance using partitioned external tables
Partitioned external tables allow Oracle Database to skip irrelevant partitions when querying data stored in Object Storage. By organizing data into partitions (e.g., by date or region), the database engine can prune partitions that don't match the query predicates, significantly reducing the amount of data scanned and improving performance. This is a well-documented optimization for external data access in Oracle Database and Autonomous Database environments.
Correct Answer (D): Scan avoidance using columnar pruning for columnar stores like parquet and orc Columnar pruning is a technique where only the required columns are read from columnar file formats such as Parquet or ORC stored in Object Storage. These formats store data column-wise, enabling the database to avoid scanning entire rows or irrelevant columns, which is particularly efficient for analytical queries common in Autonomous Data Warehouse (ADW). This is a standard optimization supported by Oracle's external table framework when accessing Object Storage.
Correct Answer (E): Optimized data archive using hybrid partitioned tables Hybrid partitioned tables combine local database partitions with external partitions stored in Object Storage. This allows older, less frequently accessed data to be archived efficiently in the cloud while remaining queryable alongside active data in the database. The database optimizes access by seamlessly integrating these partitions, reducing costs and improving archival efficiency. This feature is explicitly supported in Oracle Database and enhanced in Autonomous Database for data lifecycle management.
Correct Answer (F): Optimized data archive using partitioned external tables Similar to hybrid partitioned tables, using partitioned external tables alone optimizes data archiving by storing historical data in Object Storage with partitioning (e.g., by year). This method enables efficient querying of archived data by pruning unneeded partitions, offering a cost-effective and scalable archival solution. It's a distinct approach from hybrid tables, focusing solely on external storage, and is widely used in Oracle environments.
Incorrect Options:
B . Scan avoidance using columnar pruning for .csv files
CSV files are row-based, not columnar, and lack the internal structure of formats like Parquet or ORC. While Oracle can read CSVs from Object Storage via external tables, columnar pruning is not applicable because CSVs don't support column-wise storage or metadata for pruning. This makes this option incorrect as a specific optimization technique, though basic predicate pushdown might still reduce scanning to some extent.
C . Scan avoidance using block skipping when reading parquet and orc files Block skipping (or row group skipping) is a feature in some database systems where metadata in Parquet or ORC files allows skipping entire blocks of data based on query filters. While Oracle supports Parquet and ORC through external tables and can leverage their columnar nature (via pruning), "block skipping" is not explicitly highlighted as a primary optimization in Oracle's documentation for Autonomous Database. It's more commonly associated with systems like Apache Spark or Hive. Oracle's focus is on columnar pruning and partitioning, making this option less accurate in this context.
Why Four Answers?
The question specifies "four ways," and while six options are provided, A, D, E, and F are the most directly supported and documented methods in Oracle Autonomous Database for optimizing Object Storage access. Options B and C, while conceptually related to data access optimizations, are either inapplicable (CSV lacks columnar structure) or not explicitly emphasized (block skipping) in Oracle's feature set for this purpose.
This selection aligns with Oracle's focus on partitioning and columnar formats for efficient cloud data access, ensuring both performance and archival optimization.
Reference:
External Tables and Object Storage
Hybrid Partitioned Tables
Autonomous Database Data Loading
質問 # 116
Which management operation is correct about Autonomous Databases on Shared Exadata Infrastructure?
A. You can skip a scheduled maintenance run. For Autonomous Database on Shared Exadata Infrastructure, you can skip maintenance runs for up to two consecutive quarters if needed
B. You can perform a "rolling restart" on all the Autonomous Databases. During a rolling restart, each node on the Autonomous Database is restarted separately while the remaining nodes continue to be available
C. You can choose to use Release Update or Release Update Revision updates for your Autonomous Databases on Shared Infrastructure
D. You cannot configure the scheduling for your Autonomous Databases on Shared Exadata Infrastructure
正解：D
解説：
Management operations for Autonomous Databases on Shared Exadata Infrastructure are limited due to its fully managed nature. The correct statement is:
You cannot configure the scheduling for your Autonomous Databases on Shared Exadata Infrastructure (C): In shared infrastructure, Oracle fully controls maintenance scheduling (e.g., patching, upgrades). Unlike dedicated infrastructure, where users can set maintenance windows, shared ADB users cannot adjust timing. Oracle notifies users of upcoming maintenance (e.g., via email or console), typically in a 7-day window, but the exact schedule is Oracle-driven to optimize the shared Exadata platform. For example, a quarterly patch might occur on a Tuesday at 2 AM UTC, and users must adapt, not reschedule.
The incorrect options are:
You can skip a scheduled maintenance run... (A): False. Shared infrastructure does not allow skipping maintenance runs, even for two quarters. This flexibility exists only in dedicated infrastructure, where users have more control (e.g., skipping up to two consecutive updates). In shared mode, Oracle enforces updates for security and stability across all tenants.
You can perform a "rolling restart"... (B): False. Rolling restarts (restarting nodes sequentially for availability) are not user-initiated in ADB shared infrastructure. Restarts, if needed, are managed by Oracle during maintenance, and users cannot control the process or ensure node-by-node availability.
You can choose to use Release Update or Release Update Revision updates... (D): False. In shared infrastructure, Oracle applies Release Updates (RUs) uniformly across all databases; users cannot choose between RU or Release Update Revisions (RURs), a feature reserved for dedicated deployments.
This reflects the trade-off of shared infrastructure: lower cost and management effort for less control.
質問 # 117
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?
A. Auto Scaling is enabled by default and can be enabled or disabled at any time.
B. For databases on dedicated Exadata infrastructure, the maximum number of cores available to a database depends on the total number of cores available in the Exadata infrastructure instance.
C. For databases on dedicated Exadata infrastructure, the maximum number of cores is limited by the number of free cores that are not being used by other auto scaling databases to meet high-load demands.
D. The base number of OCPU cores allocated to a database is not guaranteed.
正解：D
解説：
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.
質問 # 118
Which three options are supported when migrating to Autonomous Database (ADB)? (Choose three.)
A. RMAN Cross-Platform backup and restore
B. GoldenGate on-premise installation
C. GoldenGate Cloud Service
D. PDB unplug/plug operation
E. Data Guard Physical Standby
F. Data Pump export/import
正解：B、C、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.
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