DumpTOP 의 Oracle인증 1Z0-931-26시험에 도전장을 던지셨나요? 현황에 만족하지 않고 열심히 하는 모습에 박수를 보내드립니다. Oracle인증 1Z0-931-26시험을 학원등록하지 않고 많은 공부자료 필요없이DumpTOP 에서 제공해드리는 Oracle인증 1Z0-931-26덤프만으로도 가능합니다. 수많은 분들이 검증한Oracle인증 1Z0-931-26덤프는 시장에서 가장 최신버전입니다.가격도 친근하구요.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security, Integration and Data Management | 20% | - Configure identity and access management - Load, migrate and integrate data from various sources - Use Autonomous Database tools for development and administration - Implement data encryption and security controls |
| Topic 2: AI Features and Capabilities | 30% | - Use Oracle Machine Learning within Autonomous Database - Apply AI-assisted performance tuning and optimization - Configure and use AI Vector Search - Implement Select AI for natural language to SQL generation |
| Topic 3: Database Management and Operations | 25% | - Configure auto-scaling and storage management - Perform patching, upgrades and lifecycle management - Monitor and manage database performance and resources - Implement backup, recovery and high availability strategies |
| Topic 4: Autonomous Database Architecture and Provisioning | 25% | - Integrate Autonomous Database with Oracle Cloud Infrastructure services - Provision and configure Autonomous Database on shared infrastructure - Describe Autonomous Database architecture and core components - Provision and configure Autonomous Database on dedicated infrastructure |
Oracle 1Z0-931-26 덤프의 PDF 버전과 Software 버전의 내용은 동일합니다. PDF버전은 프린트 가능한 버전으로서 단독구매하셔도 됩니다. Software 버전은 테스트용으로 PDF 버전 공부를 마친후 시험전에 실력테스트 가능합니다. Software 버전은 PDF버전의 보조용이기에 단독 판매하지 않습니다. 소프트웨어버전까지 필요하신 분은 PDF버전을 구입하실때 공동구매하셔야 합니다.
질문 # 135
Which three functions are provided by Spatial Studio? (Choose three.)
정답：A,B,E
설명：
Oracle Spatial Studio is a self-service tool for working with spatial data in Autonomous Database. The three correct functions are:
Map visualization (A): Spatial Studio provides robust capabilities to visualize spatial data on interactive maps, enabling users to explore geographic patterns and relationships visually.
Spatial analysis (C): It offers tools for performing spatial operations like proximity analysis, spatial joins, and buffering, which are essential for deriving insights from geographic data.
Spatial data editing (E): Users can edit spatial data, such as modifying geometries or updating attributes, directly within Spatial Studio, making it a powerful tool for data management.
The incorrect options are:
Custom SQL queries (B): While Spatial Studio supports spatial operations, it is primarily a graphical tool and does not focus on executing custom SQL queries. Such functionality is more aligned with tools like SQL Developer.
Geocoding (D): Geocoding (converting addresses to coordinates) is not a core feature of Spatial Studio. It focuses on visualization, analysis, and editing rather than address-to-coordinate conversion, which is typically handled by separate Oracle services or tools.
These functions align with Spatial Studio’s purpose of simplifying spatial data management and analysis.
질문 # 136
In which four ways can Oracle Database optimally access data in Object Storage? (Choose four.)
정답：B,C,D,F
설명：
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.
External Tables and Object Storage
Hybrid Partitioned Tables
Autonomous Database Data Loading
질문 # 137
Which predefined role that exists in Autonomous Database includes common privileges that are used by a Data Warehouse developer? (Choose the best answer.)
정답：B
설명：
Autonomous Database provides predefined roles tailored to specific use cases. The correct answer is:
DWROLE (B): The DWROLE predefined role is designed for Data Warehouse developers. It includes privileges commonly needed for data warehousing tasks, such as creating tables, views, and materialized views, as well as executing analytical queries. This role is optimized for Autonomous Data Warehouse (ADW) workloads.
The incorrect options are:
ADBDEV (A): There is no predefined ADBDEV role in Autonomous Database; this appears to be a fictional or misinterpreted role.
ADMIN (C): The ADMIN role is a superuser role with full database privileges, far exceeding the needs of a typical Data Warehouse developer and not tailored to that specific use case.
ADWC (D): This is not a predefined role; it might be a typo or confusion with ADW (Autonomous Data Warehouse), but no such role exists.
DWROLE is the best fit for a Data Warehouse developer’s needs.
질문 # 138
Which four file formats are supported when loading data from Cloud Storage?
정답：C,D,E,F
설명：
Full Detailed In-Depth Explanation:
Supported formats:
A: False. DDL is a language, not a data format.
B: True. AVRO is supported for structured data.
C: True. Parquet is optimized for analytics.
D: False. DOC is not supported.
E: True. JSON is flexible for semi-structured data.
F: True. CSV is widely used for tabular data.
질문 # 139
What two actions can you do when a refreshable clone passes the refresh time limit? (Choose two.)
정답：B,D
설명：
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.
질문 # 140
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DumpTOP에서 출시한 Oracle 인증 1Z0-931-26시험덤프는DumpTOP의 엘리트한 IT전문가들이 IT인증실제시험문제를 연구하여 제작한 최신버전 덤프입니다. 덤프는 실제시험의 모든 범위를 커버하고 있어 시험통과율이 거의 100%에 달합니다. 제일 빠른 시간내에 덤프에 있는 문제만 잘 이해하고 기억하신다면 시험패스는 문제없습니다.
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