Blog - The Business Lounge

Alan Ford Alan Ford

0 Course Enrolled • 0 Course Completed

Biography

Pass Guaranteed 2025 Oracle 1Z0-931-25: Oracle Autonomous Database Cloud 2025 Professional–Reliable Latest Test Simulations

We are now in a fast-paced era, and for this we have no right to choose. Just as a proverb says "Time is money." This is the reason why we must value time. That is to say, we should make full use of our time to do useful things. As examinee whose want to pass the 1Z0-931-25, you shouldn’t waste your time on some useless books or materials. Our 1Z0-931-25 Materials are tool that can not only to help you save a lot of time, but also help you pass the 1Z0-931-25 exam. In this way, you can much time to complete your other goals and improve yourself better. What a rare opportunity it is! Never miss it because of your hesitation.

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

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 3

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 4

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.

>> Latest Test 1Z0-931-25 Simulations <<

Latest 1Z0-931-25 Exam Dumps provide you the most accurate Learning Materials - DumpsMaterials

Everyone has the right to pursue happiness and wealth. You can rely on the 1Z0-931-25 certificate to support yourself. If you do not own one or two kinds of skills, it is difficult for you to make ends meet in the modern society. After all, you can rely on no one but yourself. At present, our 1Z0-931-25study materials can give you a ray of hope. You can get the 1Z0-931-25 certification easily with our 1Z0-931-25 learning questions and have a better future.

Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q121-Q126):

NEW QUESTION # 121
In which four ways can Oracle Database optimally access data in Object Storage? (Choose four.)

A. Scan avoidance using columnar pruning for columnar stores like parquet and orc
B. Scan avoidance using block skipping when reading parquet and orc files
C. Scan avoidance using columnar pruning for .csv files
D. Scan avoidance using partitioned external tables
E. Optimized data archive using hybrid partitioned tables
F. Optimized data archive using partitioned external tables

Answer: A,D,E,F

Explanation:
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

NEW QUESTION # 122
Which tab in the Data Load Explore tool shows the size of the table and the number of rows and columns?

A. Hierarchies tab
B. Statistics tab
C. Data Sources tab
D. Measures tab

Answer: B

Explanation:
The Data Load Explore tool in Autonomous Database helps users analyze loaded data. The correct tab is:
Statistics tab (B): The Statistics tab displays detailed metadata about a table, including its size (e.g., in MB or GB), number of rows, and number of columns. For example, after loading a CSV into a table SALES, this tab might show "Rows: 10,000, Columns: 5, Size: 2.3 MB," providing a quick overview of the dataset's scale and structure. It's designed for understanding data volume and composition, aiding decisions like partitioning or indexing.
The incorrect options are:
Hierarchies tab (A): This tab shows hierarchical relationships in the data (e.g., parent-child links), not basic table metrics like size or row count. It's more about data organization than statistics.
Data Sources tab (C): This tab lists the sources of loaded data (e.g., OCI Object Storage buckets or files), not the resulting table's properties. It focuses on origin, not metrics.
Measures tab (D): The Measures tab defines numerical aggregates (e.g., sum of sales), used for analytics, not raw table statistics like row or column counts.
The Statistics tab is the go-to for table sizing details in Data Load Explore.

NEW QUESTION # 123
Which statement is true about connecting a marketplace Oracle Cloud Infrastructure (OCI) image to an Autonomous Database on Shared Infrastructure?

A. A Private Endpoint is required to connect to the Autonomous Database on Shared Exadata infrastructure.
B. The marketplace OCI image can be used with an Always Free Autonomous Database account.
C. The Autonomous Database must belong to a Network Security Group (NSG).
D. The marketplace OCI image does not support connecting to an Autonomous Database on Shared Infrastructure.

Answer: B

Explanation:
Full Detailed In-Depth Explanation:
Connecting a marketplace OCI image (e.g., a pre-configured VM) to an Autonomous Database on Shared Infrastructure involves network and compatibility considerations. Let's analyze each option:
A . The Autonomous Database must belong to a Network Security Group (NSG): False. NSGs enhance security but are optional. Connectivity can be achieved without them using security lists or other rules.
B . The marketplace OCI image can be used with an Always Free Autonomous Database account: True. The Always Free tier supports connectivity from OCI marketplace images, provided network configurations (e.g., VCN, subnet) allow it. This makes B the correct answer.
C . A Private Endpoint is required to connect to the Autonomous Database on Shared Exadata infrastructure: False. While private endpoints enhance security, public endpoints are also supported for shared infrastructure, making this optional.
D . The marketplace OCI image does not support connecting to an Autonomous Database on Shared Infrastructure: False. Marketplace images are designed to integrate with OCI services, including Autonomous Databases on shared infrastructure.
Option B stands out as it aligns with Oracle's support for Always Free tiers, offering flexibility for users to leverage marketplace tools without additional cost.

NEW QUESTION # 124
Which of the following is not required for connecting to Autonomous Database (ADB) via SQL Developer?

A. Password
B. Service
C. Database name
D. Connection Name
E. Username

Answer: D

Explanation:
Connecting to Autonomous Database (ADB) via SQL Developer requires specific parameters. The correct answer is:
Connection Name (E): The Connection Name is a user-defined label in SQL Developer to identify the connection in the tool's interface. It is not a technical requirement for establishing the database connection itself, making it optional in terms of connectivity.
The required parameters are:
Password (A): Essential for user authentication alongside the username.
Service (B): Refers to the service name (e.g., high, medium, low) from the wallet's tnsnames.ora, specifying the performance level and connection type.
Username (C): Required to identify the database user.
Database name (D): Needed to specify the target database or PDB within the ADB instance, typically provided via the wallet configuration.
Without A, B, C, and D, the connection cannot be established, but E is merely a convenience.

NEW QUESTION # 125
As a database architect, you are tasked with configuring a high concurrency, production OLTP (EXAM) application to connect to an Autonomous Transaction Processing database with a requirement to have some reporting queries run in parallel mode. Which connection service is appropriate for such a workload?

A. HIGH
B. TP
C. MEDIUM
D. TPURGENT

Answer: A

Explanation:
Autonomous Transaction Processing (ATP) provides predefined connection services to optimize different workload types. For a high-concurrency OLTP application with parallel reporting queries, the appropriate service is:
HIGH (C): The HIGH connection service in ATP is designed for workloads requiring high concurrency and throughput, making it ideal for a production OLTP application like "EXAM" that handles many simultaneous transactions (e.g., user requests). Additionally, HIGH supports parallel query execution, which is critical for running reporting queries efficiently during off-peak times. It allocates more resources (e.g., OCPUs and I/O) compared to other services, ensuring performance for both transactional and analytical tasks. For example, the OLTP app might use HIGH to process thousands of concurrent user requests, while a nightly report leverages parallel processing to aggregate data quickly. In the wallet's tnsnames.ora, the HIGH service might look like exam_high = (DESCRIPTION=...), offering the best balance for this mixed workload.
The incorrect options are:
TPURGENT (A): The TPURGENT service prioritizes low-latency, time-critical transactions (e.g., sub-second response times for single-user actions). It's optimized for latency-sensitive operations, not high concurrency or parallel reporting, and would underperform for the broader OLTP and reporting needs here. For instance, it's better suited for a single critical transaction than a multi-user system.
TP (B): The TP (Transaction Processing) service is a general-purpose option for OLTP workloads, offering moderate concurrency and latency. However, it's not optimized for high concurrency or parallel query execution, making it less suitable for a production app with reporting demands. It's a middle ground, not a top-tier performer like HIGH.
MEDIUM (D): The MEDIUM service balances performance and resource usage for moderate workloads. It supports some concurrency but lacks the resource allocation and parallel execution capabilities of HIGH, making it inadequate for a high-concurrency OLTP system with reporting requirements.
The HIGH service's ability to handle both high transactional volume and parallel reporting aligns perfectly with the scenario's strict performance needs, all within ATP's zero-maintenance framework.

NEW QUESTION # 126
......

How can you pass your exam and get your certificate in a short time? Our 1Z0-931-25 exam torrent will be your best choice to help you achieve your aim. According to customers’ needs, our product was revised by a lot of experts; the most functions of our Oracle Autonomous Database Cloud 2025 Professional exam dumps are to help customers save more time, and make customers relaxed. If you choose to use our 1Z0-931-25 Test Quiz, you will find it is very easy for you to pass your exam in a short time. You just need to spend 20-30 hours on studying; you will have more free time to do other things.

1Z0-931-25 Certificate Exam: https://www.dumpsmaterials.com/1Z0-931-25-real-torrent.html

Cookie	Duration	Description
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Alan Ford Alan Ford

Biography

COOKIE NOTICE