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1Z0-931-25ํผํํธ์ต์ ๋คํ์๋ฃ & 1Z0-931-25์ต์ ์ธ์ฆ์ํ๊ณต๋ถ์๋ฃ
์ฐธ๊ณ : Itcertkr์์ Google Drive๋ก ๊ณต์ ํ๋ ๋ฌด๋ฃ, ์ต์ 1Z0-931-25 ์ํ ๋ฌธ์ ์ง์ด ์์ต๋๋ค: https://drive.google.com/open?id=1NzhvjnNv30VieSz5PMlvniwdyCKXKN07
Itcertkr์Oracle์ธ์ฆ 1Z0-931-25์ํ๋คํ๊ณต๋ถ๊ฐ์ด๋ ๋ง๋ จ์ ํ๋ช ํ ์ ํ์ ๋๋ค. Oracle์ธ์ฆ 1Z0-931-25๋คํ๊ตฌ๋งค๋ก ์ํํจ์ค๊ฐ ์ฌ์์ง๊ณ ์๊ฒฉ์ฆ ์ทจ๋์จ์ด ์ ๊ณ ๋์ด ๊ณต์ ๋ง์ด ๋ค์ด์ง ์๊ณ ์๋ ์ฑ๊ณต์ ๋ฌ์ฝคํ ์ด๋งค๋ฅผ ๋ง๋ณผ์ ์์ต๋๋ค.
Oracle 1Z0-931-25 ์ํ์๊ฐ:
์ฃผ์
์๊ฐ
์ฃผ์ 1
- Migrating to Autonomous Database: This section of the exam measures the skills of Cloud Migration Specialists and covers strategies for migrating existing databases to Autonomous Database. It includes understanding migration considerations, and available options, and using Oracle Data Pump to transfer data seamlessly while minimizing downtime, ensuring smooth transitions to Oracle Cloud infrastructure.
์ฃผ์ 2
- Data Lake Analytics with Autonomous Database: This section of the exam measures the skills of Big Data Engineers and explores how Autonomous Database can be used for analytics in data lake environments. It includes data ingestion, query optimization, and leveraging cloud-native analytics services, ensuring engineers can efficiently process and analyze large volumes of structured and unstructured data.
์ฃผ์ 3
- Autonomous Database Tools: This section of the exam measures the skills of Data Analysts and covers the tools available within Autonomous Databases for advanced data processing and analytics. It includes Oracle Machine Learning, APEX, and SQL Developer Web for database development, as well as data transformation, business model creation, data insights, and data analysis, allowing analysts to extract valuable insights from large datasets.
์ฃผ์ 4
- Autonomous Database Shared: This section of the exam measures the skills of Cloud Engineers and focuses on creating and managing shared Autonomous Database instances. It includes provisioning, scaling, and starting or stopping instances, as well as database consolidation with Elastic Resource Pools. It also covers user management, cloning, database migration, monitoring, backup and restore processes, and introduces Data Guard for high availability, ensuring cloud engineers can maintain optimal database performance.
์ฃผ์ 5
- Managing and Maintaining Autonomous Database: This section of the exam measures the skills of Database Administrators and focuses on the ongoing management and maintenance of Autonomous Database instances. It includes using REST APIs and OCI CLI for automation, configuring access control lists and private endpoints, monitoring performance, setting up notifications, utilizing features like auto-indexing and data safe, handling connectivity through wallets and service handles, and configuring disaster recovery using Data Guard to ensure business continuity.
์ฃผ์ 6
- Getting Started with Autonomous Database: This section of the exam measures the skills of Database Administrators and covers the architecture and key features of Oracle Autonomous Database. It explains how the database integrates within the Oracle ecosystem and provides an overview of different Autonomous Database offerings and their licensing models, helping administrators understand how to deploy and manage these cloud-based databases efficiently.
ย
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1Z0-931-25์ต์ ์ธ์ฆ์ํ ๊ณต๋ถ์๋ฃ & 1Z0-931-25์ํ์ ํจ๋คํ
IT์ ๊ณ ์ทจ์ ์ค๋น์์ด๋ผ๋ฉด ๊ตญ์ ์ ์ผ๋ก๋ ์น์ธ๋ฐ๋ IT์ธ์ฆ์๊ฒฉ์ฆ ์ ๋๋ ๋ช๊ฐ ์ทจ๋ํด์ผ ํ์ง ์์๊ฐ ์ถ์ต๋๋ค. Oracle์ธ์ฆ 1Z0-931-25์ํ์ ํต๊ณผํ์ฌ ์ธ๊ธฐ ์๊ฒฉ์ฆ์ ์ทจ๋ํ์๋ฉด ์ทจ์ ๊ฒฝ์์จ์ด ์ ๊ณ ๋์ด ์ทจ์ ์ด ์ฌ์์ง๋๋ค. Itcertkr์Oracle์ธ์ฆ 1Z0-931-25๋คํ๋ ๋ง์ ์ํ๋ณธ ๋ถ๋ค์ ์ํด ๊ฒ์ฆ๋ ์ต์ ์ต๊ณ ์ ๋คํ๊ณต๋ถ์๋ฃ์ ๋๋ค.๋ง์ค์ด์ง ๋ง์๊ณ Itcertkr์ ํ์ผ๋ก ํ๋ฒ ๊ฐ๋ณด์ธ์.
์ต์ Oracle Autonomous Database 1Z0-931-25 ๋ฌด๋ฃ์ํ๋ฌธ์ (Q20-Q25):
์ง๋ฌธ # 20
Which statement is correct about the Service Console in an Autonomous Database?
- A. You can use the Service Console to enable or disable auto-scaling of an Autonomous Database.
- B. You can use the Service Console to manage runaway SQL statements on an Autonomous Database.
- C. You can use the Service Console to move an Autonomous Database between compartments.
- D. You can use the Service Console to create manual backups of an Autonomous Database.
์ ๋ต๏ผB
์ค๋ช
๏ผ
Full Detailed In-Depth Explanation:
The Service Console is a database-specific management interface:
A: False. Auto-scaling is managed via the OCI Console, not the Service Console.
B: True. The Service Console allows monitoring and terminating runaway SQL statements that consume excessive resources.
C: False. Manual backups are created through OCI Console or SQL commands, not the Service Console.
D: False. Moving compartments is an OCI Console function, not a Service Console task.
ย
์ง๋ฌธ # 21
Which two statements are true about Data Insights?
- A. Data Insights is an additional priced option.
- B. You can retrieve previously executed Data Insights searches.
- C. Data Insights is available with on-premises deployments of Oracle Database.
- D. You can search for Data Insights against a base table or business model.
์ ๋ต๏ผB,D
์ค๋ช
๏ผ
Full Detailed In-Depth Explanation:
A: True. Data Insights works with tables and business models in ADW.
B: False. Exclusive to Autonomous Database, not on-premises.
C: True. Search history is retrievable.
D: False. Included in ADW, not separately priced.
ย
์ง๋ฌธ # 22
Given the steps:
Create Oracle Machine Learning User
Create Projects
Create Workspaces
Create Notebooks
Run SQL Scripts
Which two steps are out of order when working with Oracle Machine Learning?
- A. Run SQL Scripts
- B. Create Notebooks
- C. Create Oracle Machine Learning User
- D. Create Projects
- E. Create Workspaces
์ ๋ต๏ผD,E
์ค๋ช
๏ผ
Full Detailed In-Depth Explanation:
The correct sequence for Oracle Machine Learning (OML) is:
Create Oracle Machine Learning User: First step to enable OML access.
Create Workspaces: Containers for organizing projects.
Create Projects: Groups for related notebooks within a workspace.
Create Notebooks: Environments for coding and analysis.
Run SQL Scripts: Executed within notebooks.
In the given list, Create Projects (2) comes before Create Workspaces (3), which is reversed. Workspaces must exist before projects. Thus, C and D are out of order.
ย
์ง๋ฌธ # 23
Which statement is FALSE about the Catalog tool?
- A. You can view the data definition of an entity.
- B. Impact shows the entities that depend on the source.
- C. You can delete an entity from the Autonomous Database via the Catalog tool.
- D. You can limit the display of entities to only those with certain names, schemas, types, or applications by entering values in the Search field.
์ ๋ต๏ผC
์ค๋ช
๏ผ
The Catalog tool in Autonomous Database provides metadata exploration:
Correct Answer (A): "You can delete an entity from the Autonomous Database via the Catalog tool" is false. The Catalog is a read-only interface for viewing database objects (tables, views, etc.) and their relationships; it does not support modification or deletion actions.
True Statements:
B: Filtering by name, schema, type, or application is a core search feature.
C: Viewing DDL (data definition language) for entities is supported.
D: The Impact tab shows dependencies, aiding change analysis.
This ensures safe metadata exploration without risking data changes.
ย
์ง๋ฌธ # 24
You have a requirement to create an Autonomous Transaction Processing database that can support at least 200 concurrent statements per OCPU as well as parallelism. Which service will you need to connect to?
- A. LOW
- B. MEDIUM
- C. TPURGENT
- D. TP
์ ๋ต๏ผC
์ค๋ช
๏ผ
Full Detailed In-Depth Explanation:
Autonomous Transaction Processing (ATP) offers predefined service levels with varying concurrency and parallelism capabilities:
MEDIUM: Supports up to 50 concurrent statements per OCPU, with no parallelism by default. Unsuitable for the requirement.
TPURGENT: Supports up to 200 concurrent statements per OCPU and enables manual parallelism. This meets both requirements (concurrency โฅ 200 and parallelism), making it the correct choice.
LOW: Supports only 25 concurrent statements per OCPU, with no parallelism. Insufficient for the requirement.
TP: Supports 125 concurrent statements per OCPU, with no parallelism by default. Falls short of the 200 concurrency threshold.
TPURGENT is designed for high-concurrency, time-sensitive workloads, providing the necessary resources and flexibility for parallel query execution, aligning perfectly with the specified needs.
ย
์ง๋ฌธ # 25
......
์ฐ๋ฆฌ์ฌ์ดํธ๊ฐ ๋ค๋ฅธ ๋คํ์ฌ์ดํธ๋ณด๋ค ์ฐ์ํ ์ ์ ๋ฐ๋ก ์๋ฃ๋ค์ด ๋ชจ๋ ์ ๋ฉด์ ์ด๊ณ ์ ์ค๋ฅ ๊ณผ ์ ํ์ ๋๋ค. ๋๋ฌธ์ ์ฐ๋ฆฌItcertkr๋ฅผ ์ ํํจ์ผ๋กOracle์ธ์ฆ1Z0-931-25์ํ์ค๋น์๋ ์ต๊ณ ์ ์๋ฃ์ ๋๋ค. ์ฌ๋ฌ๋ถ์ด ์ฑ๊ณต์ ์ํ ์ต๊ณ ์ ์๋ฃ์ ๋๋ค.
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- www.stes.tyc.edu.tw, edu.pbrresearch.com, www.so0912.com, afshaalam.com, www.stes.tyc.edu.tw, www.stes.tyc.edu.tw, picassoacademie.com, www.stes.tyc.edu.tw, www.wcs.edu.eu, www.stes.tyc.edu.tw
์ฐธ๊ณ : Itcertkr์์ Google Drive๋ก ๊ณต์ ํ๋ ๋ฌด๋ฃ, ์ต์ 1Z0-931-25 ์ํ ๋ฌธ์ ์ง์ด ์์ต๋๋ค: https://drive.google.com/open?id=1NzhvjnNv30VieSz5PMlvniwdyCKXKN07
