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1Z0-931-25 Study Guide & Certification 1Z0-931-25 Dumps

People always want to prove that they are competent and skillful in some certain area. The ways to prove their competences are varied but the most direct and convenient method is to attend the certification exam and get some certificate. The 1Z0-931-25 exam questions have simplified the sophisticated notions. The software boosts varied self-learning and self-assessment functions to check the learning results. The software of our 1Z0-931-25 Test Torrent provides the statistics report function and help the students find the weak links and deal with them.

Oracle 1Z0-931-25 Exam Syllabus Topics:

Topic
Details

Topic 1

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.

Topic 2

Developing on Autonomous Database: This section of the exam measures the skills of Application Developers and focuses on developing and extending applications using Autonomous Database. It covers using generative AI for natural language queries, Autonomous JSON Database, Oracle Text for document search, location-based analysis with Autonomous Spatial, Autonomous Graph for data relationships, and integration with Object Storage, enabling developers to build intelligent, scalable applications.

Topic 3

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.

Topic 4

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.

Topic 5

Autonomous Database Dedicated: This section of the exam measures the skills of IT Architects and explores the workflows and functionality of Autonomous Database Dedicated and Autonomous Database Cloud@Customer. It includes provisioning dedicated resources, setting up OCI policies, monitoring infrastructure, scheduling maintenance tasks such as patching, and managing encryption keys for enhanced security. IT Architects will learn how to integrate dedicated database environments within their cloud strategy.

Topic 6

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.

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Oracle 1Z0-931-25 Exam Questions - Easily Pass Your Exam

RealVCE has come up with the latest and real Oracle 1Z0-931-25 Exam Dumps that can solve these drastic problems for you. We guarantee that these questions will be enough for you to clear the Oracle Autonomous Database Cloud 2025 Professional (1Z0-931-25) examination on the first attempt. Doubtlessly, cracking the Oracle 1Z0-931-25 test of the Oracle Autonomous Database Cloud 2025 Professional (1Z0-931-25) credential is one tough task but this task can be made easier if you prepare with Oracle Autonomous Database Cloud 2025 Professional (1Z0-931-25) practice questions of RealVCE.

Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q97-Q102):

NEW QUESTION # 97
What is the correct way to list all files in the default data pump directory?

A. By executing SELECT * FROM DBMS_CLOUD.LIST_FILES('DATA_PUMP_DIR');
B. Log onto ADW server and issue ls -al on the command line
C. By executing SELECT * FROM UTL_FILE.LIST('DATA_PUMP_DIR');
D. You cannot list files in the default data pump directory from Autonomous Data Warehouse (ADW)

Answer: A

Explanation:
In Oracle Autonomous Database, the DBMS_CLOUD package provides tools to interact with cloud storage and directory operations, including listing files in the default Data Pump directory (DATA_PUMP_DIR).
Correct Answer (A): The statement SELECT * FROM DBMS_CLOUD.LIST_FILES('DATA_PUMP_DIR'); is the officially supported method to list files in the DATA_PUMP_DIR. This function returns a result set with details about files in the specified directory, tailored for the managed environment of Autonomous Database.
Incorrect Options:
B: This is false; you can list files in DATA_PUMP_DIR using DBMS_CLOUD.LIST_FILES, as it is designed for this purpose in ADW.
C: The UTL_FILE package is not recommended for Autonomous Database due to its limitations in a cloud-managed environment. DBMS_CLOUD is the preferred utility for such operations. Additionally, the syntax UTL_FILE.LIST is incorrect; the proper procedure would be UTL_FILE.FGETATTR or similar, but it's still not applicable here.
D: Autonomous Database is a fully managed service, and users do not have direct command-line access to the underlying server. Commands like ls -al are unavailable as there's no shell access.
This approach ensures secure and efficient file management within the constraints of a serverless cloud database.

NEW QUESTION # 98
Which three Oracle Cloud Infrastructure (OCI) resources do you need to configure before provisioning your Autonomous Database with a private endpoint? (Choose three.)

A. Network Security Group
B. VCN
C. Subnet
D. Route Table
E. Security List

Answer: A,B,C

Explanation:
Provisioning an Autonomous Database with a private endpoint requires:
Correct Answer (A): Network Security Group (NSG) defines traffic rules for the private endpoint, restricting access to specific sources.
Correct Answer (B): VCN (Virtual Cloud Network) provides the network foundation, hosting the subnet and endpoint.
Correct Answer (E): Subnet (private) contains the database's private endpoint, isolating it from public access.
Incorrect Options:
C: Security Lists apply to subnets but are optional with NSGs, which are preferred for finer control.
D: Route Table is needed for connectivity (e.g., to a NAT Gateway), but not strictly required for the private endpoint itself.
These ensure secure, private access.

NEW QUESTION # 99
Which Database Actions tool is used to get information about the entities in your Oracle Autonomous Database and to also see how changing an object affects other objects?

A. Catalog
B. Data Load
C. Data Insight
D. JSON

Answer: A

Explanation:
Database Actions (formerly SQL Developer Web) offers tools for database management:
Correct Answer (A): The Catalog tool provides a detailed view of database entities (tables, views, schemas) and their metadata, including dependencies via the "Impact" tab. It helps assess how changes (e.g., dropping a table) affect related objects.
Incorrect Options:
B: Data Load is for importing data, not analyzing entities or dependencies.
C: JSON is a data format, not a tool; it's supported but irrelevant here.
D: Data Insight is a separate analytics service, not part of Database Actions.
Catalog is essential for metadata exploration and impact analysis.

NEW QUESTION # 100
A new Python developer has joined your team and needs to access the Autonomous Database dat a. How does the developer connect to and interact with the Autonomous Database from Python?

A. By using Oracle Client and the DBD-oracle interface
B. By using Oracle Client and the cx_Oracle interface
C. By using SQL Developer
D. By using JDBC Driver

Answer: B

Explanation:
Python developers connect to Autonomous Database using a dedicated library:
Correct Answer (D): "By using Oracle Client and the cx_Oracle interface" (now renamed oracledb) is the recommended method. The Oracle Client provides the underlying connectivity, and cx_Oracle (or oracledb) is a Python module for database access, supporting wallet-based authentication to Autonomous Database.
Incorrect Options:
A: SQL Developer is a GUI tool, not a Python interface.
B: DBD-oracle is not a standard Python library for Oracle; it's likely a typo or confusion with Perl's DBI.
C: JDBC is for Java, not Python; it's incompatible without a bridge like JPype.
This method ensures efficient, secure Python integration.

NEW QUESTION # 101
Which statement is true about OCPUs and storage when you choose to scale your Autonomous Database?

A. OCPUs and storage can be scaled independently
B. Increasing OCPUs will automatically increase storage
C. Use auto scaling to increase storage
D. OCPUs and storage must remain in sync

Answer: A

Explanation:
Scaling resources in Autonomous Database offers flexibility. The true statement is:
OCPUs and storage can be scaled independently (A): In Autonomous Database, you can adjust the number of OCPUs (compute resources) and storage capacity (in terabytes) separately via the OCI console or CLI. For example, you might provision an ADB with 2 OCPUs and 1 TB of storage. Later, you could scale to 4 OCPUs without changing storage, or increase storage to 2 TB without touching OCPUs. This decoupling allows tailored resource allocation-e.g., more compute for a CPU-intensive workload or more storage for growing data-without over-provisioning. Scaling is online, with no downtime, and status shows "SCALING IN PROGRESS" during the operation.
The incorrect options are:
Use auto scaling to increase storage (B): Auto scaling applies to OCPUs only, allowing up to 3x the base CPU allocation dynamically. Storage scaling is manual; you specify a new size (e.g., via oci db autonomous-database update), not via auto scaling.
Increasing OCPUs will automatically increase storage (C): There's no automatic linkage between OCPU and storage scaling. They are independent parameters, and increasing one does not affect the other unless explicitly requested.
OCPUs and storage must remain in sync (D): No such synchronization is required. You can have 1 OCPU with 10 TB or 10 OCPUs with 1 TB, depending on workload needs.
This independence is a hallmark of Autonomous Database's elasticity.

NEW QUESTION # 102
......

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