Oracle 1z0-931-20 (Oracle Autonomous Database Cloud 2020 Specialist) exam dumps vce, practice test questions, study guide & video training course to study and pass quickly and easily. Oracle 1z0-931-20 Oracle Autonomous Database Cloud 2020 Specialist exam dumps & practice test questions and answers. You need avanset vce exam simulator in order to study the Oracle 1z0-931-20 certification exam dumps & Oracle 1z0-931-20 practice test questions in vce format.

A Specialist's Guide to the 1z0-931-20 Exam

The 1z0-931-20 Exam, which leads to the Oracle Autonomous Database Cloud 2020 Specialist certification, is designed for professionals who manage and work with Oracle's premier cloud database service. This credential validates a candidate's understanding of the features, capabilities, and operational mechanics of the Oracle Autonomous Database. It is intended for database administrators, cloud DBAs, and technical consultants who are responsible for provisioning, managing, monitoring, and migrating workloads to this advanced platform. A successful candidate demonstrates proficiency in areas ranging from initial setup and connectivity to security, performance tuning, and the use of integrated tools. Preparing for the 1z0-931-20 Exam requires a combination of theoretical knowledge and practical, hands-on experience within the Oracle Cloud Infrastructure (OCI) environment. The exam covers a broad spectrum of topics, including the fundamental concepts that differentiate the Autonomous Database, the specific steps for provisioning different workloads, security best practices, and daily maintenance tasks. This five-part series will provide a comprehensive overview of these topics, breaking down complex concepts into manageable sections to build a solid foundation for anyone aspiring to pass the 1z0-931-20 Exam and achieve this valuable certification.

Understanding Oracle Autonomous Database

At the core of the 1z0-931-20 Exam is a deep understanding of what makes the Oracle Autonomous Database unique. It is not merely a database in the cloud; it represents a paradigm shift in data management. The service is marketed as being self-driving, self-securing, and self-repairing. These pillars mean that many of the routine and complex tasks traditionally performed by database administrators are fully automated. This includes provisioning, patching, upgrading, tuning, and backing up the database. This automation is designed to reduce human error, lower administrative overhead, and enhance security and performance. The Autonomous Database is built upon the high-performance Oracle Database engine and runs on optimized Oracle Exadata infrastructure within OCI. This combination ensures extreme performance, scalability, and reliability. For the 1z0-931-20 Exam, it is crucial to move beyond thinking of it as a standard database and to instead grasp its nature as a fully managed service. The focus of a professional working with it shifts from low-level administrative tasks to higher-value activities like data modeling, schema design, and leveraging the database's advanced capabilities for analytics and application development.

The Core Pillars: Self-Driving, Self-Securing, Self-Repairing

The 1z0-931-20 Exam places significant emphasis on the three foundational pillars of the Autonomous Database. The "self-driving" aspect refers to the automation of all database and infrastructure management. The system automatically handles tasks like database tuning, scaling of compute and storage resources without downtime, and the application of updates. This ensures the database is always running at optimal performance levels without manual intervention. For example, the system can automatically create indexes based on query performance, a task that has historically been a complex and time-consuming responsibility for a DBA. The "self-securing" pillar addresses the critical need for data protection. The Autonomous Database automatically applies security patches and updates with no service interruption, protecting the system from known vulnerabilities. It also encrypts all data by default, both at rest and in transit. The service includes robust auditing capabilities and tools to help discover sensitive data and manage access controls. The "self-repairing" characteristic ensures high availability. The system automatically detects and recovers from failures, providing protection against all types of outages with a service level agreement of 99.995% availability, which is a key selling point.

Differentiating Workloads: ATP vs. ADW

A fundamental concept tested in the 1z0-931-20 Exam is the distinction between the two primary workload types offered by the Autonomous Database service. The first is Autonomous Transaction Processing (ATP), which is optimized for transactional workloads. This includes applications for real-time data entry, reporting, batch processing, and mixed workloads. ATP is configured for extremely fast query response times for a large number of concurrent users. Its data structures and memory configurations are tuned for row-based access, which is typical of online transaction processing (OLTP) systems. The second workload type is the Autonomous Data Warehouse (ADW). As its name suggests, ADW is optimized for analytics and data warehousing. It is designed to handle large-scale data analysis, business intelligence reporting, and data mart workloads. ADW uses a columnar data format and is tuned for large, complex queries that scan massive datasets. This configuration provides significant performance advantages for analytical queries over the row-based format used in ATP. Choosing the correct workload type during provisioning is a critical first step, and the 1z0-931-20 Exam will expect you to understand the use cases for each.

Exploring the Autonomous Database Architecture

While the Autonomous Database is a managed service that abstracts away much of the complexity, having a foundational understanding of its architecture is important for the 1z0-931-20 Exam. The service runs exclusively on the Oracle Exadata Database Machine in the Oracle Cloud. Exadata provides a highly optimized hardware and software platform specifically engineered for running the Oracle Database. This includes features like Smart Scan, which offloads SQL processing to the storage servers, reducing data movement and accelerating query performance, especially for ADW workloads. The architecture is designed for complete resource isolation and high availability. Each Autonomous Database instance runs in its own isolated environment. The service leverages Oracle's Real Application Clusters (RAC) technology to protect against server failures. In the event of a hardware or software issue, the database service automatically fails over to a healthy node without disrupting user sessions. This underlying combination of Exadata and RAC is what enables the service to deliver on its promises of high performance and self-repairing capabilities, concepts that are central to the 1z0-931-20 Exam.

Key Features and Capabilities

The 1z0-931-20 Exam covers a wide array of features that come built into the Autonomous Database service. One of the most significant is the ability to scale compute and storage resources independently and online. An administrator can increase the number of OCPUs (Oracle Compute Units) or the amount of storage allocated to the database with a few clicks in the cloud console, and the changes take effect immediately without any downtime. This elasticity allows organizations to pay only for the resources they need at any given time, providing significant cost savings and operational agility. Another key feature is the automated indexing. The database monitors query workloads and automatically creates, validates, and implements indexes to improve performance. This removes a significant tuning burden from the DBA. Furthermore, the service includes a suite of powerful built-in tools. These include the Oracle Machine Learning (OML) environment for data science, Oracle Application Express (APEX) for low-code application development, and a rich set of data loading and visualization tools. Familiarity with these integrated tools and their functions is essential for anyone preparing for the 1z0-931-20 Exam.

The Role of Oracle Cloud Infrastructure (OCI)

The Autonomous Database does not exist in a vacuum; it is a service within the broader Oracle Cloud Infrastructure. Therefore, a candidate for the 1z0-931-20 Exam must have a basic understanding of key OCI concepts. This includes familiarity with the OCI console, which is the primary web-based interface for creating and managing all cloud resources, including Autonomous Database instances. You should understand the concept of a Virtual Cloud Network (VCN), which is the private network you define in OCI to house your cloud resources. Security in OCI is managed through Identity and Access Management (IAM). IAM policies control who can access which resources and what actions they can perform. When you provision an Autonomous Database, you must have the appropriate IAM permissions. Other relevant OCI services include Object Storage, which is often used as a source for loading data into the database, and the Monitoring service, which provides metrics and alerts for your cloud resources. While the 1z0-931-20 Exam focuses on the database itself, questions may assume a foundational knowledge of how it integrates with the surrounding OCI ecosystem.

Preparing Your Study Strategy

A structured approach is the best way to prepare for the 1z0-931-20 Exam. Start by downloading the official exam topics list. This is your definitive guide to what you need to know. Systematically go through each topic, rating your level of confidence. This will help you identify your weak areas and allocate your study time effectively. The most critical component of your preparation should be hands-on practice. Theoretical knowledge alone is not sufficient. You must spend time in the OCI console actually performing the tasks described in the exam objectives. Oracle provides free cloud trials that offer more than enough resources to practice provisioning, connecting to, and managing an Autonomous Database instance. Work through tutorials and official documentation to create both ATP and ADW instances. Practice loading data from different sources, monitoring performance in the service console, and exploring the built-in tools like APEX and OML. As you get closer to your exam date, take practice tests to familiarize yourself with the question format and timing. A combination of structured learning and extensive hands-on practice is the proven formula for success on the 1z0-931-20 Exam.

Provisioning an Autonomous Database Instance

A primary hands-on skill tested in the 1z0-931-20 Exam is the ability to provision an Autonomous Database. This process is initiated from the Oracle Cloud Infrastructure (OCI) console. When creating a new instance, you are presented with several critical choices that define the database's characteristics. The first is selecting the workload type: either Autonomous Transaction Processing (ATP) or Autonomous Data Warehouse (ADW). As discussed previously, this choice depends entirely on the intended use case for the database, and making the correct selection is a fundamental concept. Next, you must specify the deployment type. The most common is 'Shared Infrastructure', where your database runs on an Exadata system shared with other tenants, though your data and operations are completely isolated. For stricter isolation requirements, 'Dedicated Infrastructure' is available. You will also configure the database name, the OCPU count, and the storage size in terabytes. You must also create an administrative password for the 'ADMIN' user, which is the primary account for managing the new database. Understanding each of these provisioning options is crucial for the 1z0-931-20 Exam.

Managing the Database Lifecycle

Once an Autonomous Database is provisioned, its lifecycle is managed through the OCI console. The 1z0-931-20 Exam expects candidates to be proficient in these day-to-day management tasks. You can stop the database when it is not in use to save on compute costs; storage costs will still be incurred. When the database is stopped, all connections are terminated, and it is not accessible. You can then restart the database when it is needed again, a process which typically takes only a few minutes. This is a common practice in development or test environments to optimize costs. Scaling is another critical lifecycle operation. The Autonomous Database allows you to scale the OCPU count or the storage capacity up or down as your needs change. Remarkably, scaling the OCPU count is an online operation, meaning the database remains fully available and accessible during the process. This elasticity is a major advantage of the platform. You can also terminate a database instance permanently, which will delete the database and all of its automatic backups. Understanding the implications of each of these actions is a key area of knowledge for the 1z0-931-20 Exam.

Understanding and Using Client Credentials (Wallets)

Security is paramount for the Autonomous Database, and all connections are encrypted. To facilitate this secure connection, the service uses client credentials, which are packaged into a zip file known as a wallet. The 1z0-931-20 Exam will test your understanding of what this wallet contains and how to use it. The wallet file includes the TLS certificates required for encrypted communication, as well as configuration files like tnsnames.ora and sqlnet.ora that define the connection details for the database. When a new Autonomous Database is provisioned, you must download this wallet file from the database's details page in the OCI console. This file is essential for any client application or tool that needs to connect to the database. You will need to provide the wallet when configuring connection settings in tools like SQL Developer, command-line interfaces like SQL*Plus, or in application code using drivers like JDBC. Protecting this wallet file is critical, as it contains the keys to accessing your database.

Connecting to ADB with SQL Developer and Other Tools

Knowing how to establish a connection is a practical skill required for the 1z0-931-20 Exam. The most common tool used by developers and DBAs is SQL Developer. To connect SQL Developer to an Autonomous Database, you must configure a new connection using the 'Cloud Wallet' connection type. In the connection dialog, you will provide the path to your downloaded client credentials wallet file. SQL Developer will then read the connection strings from the tnsnames.ora file within the wallet, allowing you to select the appropriate service name for your connection. The wallet contains several predefined service names (e.g., high, medium, low) that correspond to different levels of performance and concurrency. For example, the high service is intended for high-priority application connections and supports the highest degree of parallelism. The low service is for background jobs or less critical tasks. Choosing the correct service for your application's needs is an important aspect of managing performance. The same wallet and service name principles apply when connecting with other tools or application drivers.

Configuring Network Access and Access Control Lists (ACLs)

By default, an Autonomous Database instance is accessible from the public internet, secured by the required encrypted wallet connection. However, for enhanced security, you can restrict network access. The 1z0-931-20 Exam covers the methods for controlling this access. One primary method is using Access Control Lists (ACLs). An ACL is a list of IP addresses or VCNs that are permitted to connect to the database. If an ACL is enabled, any connection attempt from an IP address not on the list will be rejected before it even reaches the database authentication stage. Another option is to configure a private endpoint. This places the Autonomous Database within a specific subnet of your Virtual Cloud Network (VCN), making it inaccessible from the public internet. All traffic to the database must originate from within the VCN or from a network connected to the VCN (such as your on-premises network via a VPN or FastConnect). This is the most secure configuration and is often a requirement for enterprise applications with strict data security policies. Understanding when and how to use ACLs versus private endpoints is a key security concept for the 1z0-931-20 Exam.

Managing Users, Roles, and Privileges

While the Autonomous Database automates many administrative tasks, user management remains a responsibility of the DBA. The 1z0-931-20 Exam will expect you to know how to manage database users and their permissions. When the database is provisioned, a single administrative user named 'ADMIN' is created. This user is highly privileged and is used for creating other database users and granting them the necessary roles and privileges. It is a best practice to create separate, less privileged accounts for applications and individual users rather than using the ADMIN account for everything. The standard Oracle Database commands for user management, such as CREATE USER, GRANT, and REVOKE, are used. The Autonomous Database also comes with a predefined role called DWROLE in ADW and CONNECT, RESOURCE in ATP, which can be granted to users to give them a standard set of privileges for development or data analysis. For more granular control, you can create custom roles and grant specific object privileges (e.g., SELECT on a particular table) as needed. Proper user and privilege management is fundamental to database security.

Securing Your Data with Data Masking and Auditing

Beyond network and user access controls, the 1z0-931-20 Exam covers advanced security features available within the Autonomous Database. The platform is integrated with the Oracle Data Safe service in OCI. Data Safe provides a unified control center for database security. One of its key features is data discovery and data masking. Data discovery can automatically scan your schemas to find sensitive data, such as credit card numbers or personally identifiable information. Once sensitive data is identified, you can use Data Safe to create data masking policies. Data masking is the process of replacing sensitive data with realistic but fictionalized data. This is extremely useful for creating non-production copies of your database for development or testing, as it allows developers to work with a realistic data set without exposing sensitive information. The Autonomous Database also has robust auditing capabilities, allowing you to track activities like user logins, DDL changes, and data access, which is critical for compliance and security investigations.

Exploring Predefined Database Service Names

When you connect to an Autonomous Database, you don't just connect to the database instance; you connect to a specific service. The wallet file you download contains entries for several predefined services that are tailored for different types of workloads. The 1z0-931-20 Exam requires you to know the purpose of these services. The three primary services are high, medium, and low. These services manage resource allocation and concurrency for your sessions. The high service allows the fewest concurrent sessions but gives each session the most resources, making it suitable for critical reporting queries. The medium service offers a balance, allowing more concurrent sessions with fewer resources per session. The low service allows the highest number of concurrent sessions, making it ideal for background processes or development tasks. There are also services specific to the workload type. For example, ATP has a tp (transaction processing) service and a tpurgent service, which are optimized for extremely fast, single-row lookups. Choosing the appropriate service in your connection string is an important aspect of application performance tuning.

Leveraging the Autonomous Database Service Console

A central hub for managing and monitoring an individual Autonomous Database instance is the Service Console. This web-based interface is distinct from the main OCI console and provides deep insights into a specific database's health and performance. The 1z0-931-20 Exam expects candidates to be thoroughly familiar with the features and information available in the Service Console. The main dashboard provides a real-time overview of CPU utilization, the number of running SQL statements, and storage usage. It serves as a quick health check for the database. Beyond the overview, the console has dedicated sections for more detailed analysis. You can monitor database activity, view past and present performance metrics, and manage administrative tasks. It also provides access to the integrated tools that come with the database, such as the SQL Developer Web interface, Oracle Machine Learning notebooks, and APEX development environment. Understanding how to navigate the Service Console to find key performance indicators and access development tools is a fundamental skill for anyone working with the Autonomous Database.

Monitoring Performance and SQL Tuning

Performance monitoring is a key activity for any database administrator, and the 1z0-931-20 Exam covers the tools available for this in the Autonomous Database. The Performance Hub, accessible through the Service Console, is the primary tool for detailed performance analysis. It provides a real-time and historical view of database activity, allowing you to identify performance bottlenecks quickly. The main charts show the Active Session History (ASH) analytics, which visualizes what the database is spending its time on, broken down by wait events, CPU usage, and user sessions. Performance Hub also allows you to view and analyze high-load SQL statements. You can see the full text of a query, its execution statistics, and its execution plan. This information is invaluable for SQL tuning. While the Autonomous Database automates many aspects of tuning, such as creating indexes, developers and DBAs may still need to analyze complex queries to optimize their application code. Familiarity with the charts and reports in Performance Hub is essential for diagnosing and resolving performance issues, a common scenario in 1z0-931-20 Exam questions.

Understanding Automated Backups and Recovery

One of the core "self-repairing" features of the Autonomous Database, and a critical topic for the 1z0-931-20 Exam, is its automated backup and recovery mechanism. The service automatically backs up the database to a secure, highly durable Object Storage location within OCI. These backups are taken daily, and the system retains them for 60 days. This entire process is fully managed by Oracle, requiring no configuration or intervention from the user. These automatic backups include all the necessary database files and archive logs to perform a complete recovery. Recovery is also a managed process. You can use the OCI console to restore your database to any point in time within the 60-day retention period. When you initiate a restore, the service will create a new database instance and recover the data to your specified timestamp. This feature provides robust protection against data loss due to user error, application bugs, or other logical corruptions. Understanding the retention policy and the process for point-in-time recovery is a key aspect of the database's reliability features.

Performing Manual Backups and Restores

While automatic backups are sufficient for most disaster recovery needs, there are scenarios where a manual backup is required. The 1z0-931-20 Exam covers the process for creating these manual backups. For example, you might want to create a long-term backup for archival purposes that needs to be retained for longer than the 60-day automatic backup window. You can trigger a manual backup at any time from the OCI console. This backup is also stored in your Object Storage but is independent of the automatic backups and will be retained until you explicitly delete it. Restoring from a manual backup is also a straightforward process initiated through the console. When you restore from a manual backup, you create a new database instance that is a complete copy of the source database as it existed at the time of the backup. This is a common method for creating a clone or a snapshot of a database for specific testing or development purposes. Knowing when to rely on automatic backups versus when to create a manual backup is an important operational decision.

Cloning Your Autonomous Database Instance

Cloning is a powerful feature that allows you to create a complete copy of your Autonomous Database. The 1z0-931-20 Exam will expect you to know the different cloning options and their use cases. A full clone creates a new, independent database that is a physical copy of the source. This is useful for creating development or test environments that are identical to your production database. The new clone has its own lifecycle and can be started, stopped, and scaled independently of the source. A metadata clone is another option. This creates a new database with the same schema definitions (tables, indexes, views, etc.) as the source database but without any of the data. This is extremely useful for quickly provisioning a new, empty environment for development or for starting a new application deployment with a pre-defined schema. You can also clone a database from one of its backups, which allows you to create a copy of the database as it existed at a specific point in the past.

Managing Resource Usage and Alerts

Effective cloud management involves monitoring resource consumption to control costs and ensure performance. The Autonomous Database provides tools for this, and the 1z0-931-20 Exam may include questions on this topic. From the OCI console, you can monitor the OCPU and storage usage of your database. If you find that your database is consistently under-utilized or over-utilized, you can use the scaling features to adjust its resources accordingly. This helps in right-sizing your environment to match its workload, which is a key principle of cloud economics. To proactively manage the environment, you can configure alerts using the OCI Monitoring service. You can create alarms that trigger when a specific metric, such as CPU utilization, exceeds a defined threshold for a certain period. When an alarm is triggered, the service can send notifications to you via email, PagerDuty, or other channels. This allows you to be alerted to potential performance issues or unexpected spikes in usage before they impact your users, enabling a more proactive management approach.

Applying Patches and Upgrades (The Autonomous Approach)

In a traditional database environment, patching and upgrades are significant, often disruptive, administrative tasks. The Autonomous Database completely changes this dynamic, a key concept for the 1z0-931-20 Exam. The service automatically applies all necessary security patches and database version upgrades without any downtime. Oracle manages a patching schedule, and you can see the next scheduled maintenance window for your database in the OCI console. You have some flexibility to change this maintenance window to a time that is least disruptive for your business operations. This "self-driving" approach to maintenance ensures that your database is always running on the latest, most secure, and most performant version of the software. It eliminates the risk of human error associated with manual patching and frees up DBA time for more strategic initiatives. Understanding that patching is a fully automated, online process is fundamental to grasping the value proposition of the Autonomous Database service.

Working with Performance Hub for Diagnostics

Diving deeper into the Performance Hub is essential for mastering the monitoring topics of the 1z0-931-20 Exam. The "ASH Analytics" tab provides a visual representation of active sessions, allowing you to filter by various dimensions such as SQL ID, wait class, username, or client machine. This makes it incredibly easy to pinpoint which queries or sessions are consuming the most database resources. For example, if users are reporting slowness, you can quickly check the ASH Analytics chart to see if there is a high concentration of a particular wait event, indicating a potential bottleneck. The "SQL Monitoring" tab is another critical area. It shows real-time performance data for SQL statements that have been running for at least five seconds or are running in parallel. For a specific query, it provides a detailed, step-by-step breakdown of the execution plan, showing the time and resources spent on each operation. This level of detail is crucial for developers who need to understand why a particular query is performing poorly and how it can be optimized. Proficiency with these two tabs in Performance Hub is a key skill for any Autonomous Database specialist.

Loading Data into Autonomous Database

A database is only useful once it contains data. The 1z0-931-20 Exam covers the various methods for loading data into an Autonomous Database. For smaller datasets or ad-hoc data loads, the SQL Developer Web interface, accessible from the Service Console, includes a simple data loading utility. This allows you to upload files like CSV, JSON, or Avro directly from your local machine into a new or existing table. While convenient for small tasks, this method is not suitable for large-scale data ingestion. For larger and more automated data loading processes, the primary method involves placing your source data files in a cloud-based object storage service, such as OCI Object Storage. Once the files are in object storage, you can load them into the database. This approach is scalable, reliable, and decouples the data loading process from your local machine's connectivity. The 1z0-931-20 Exam will expect you to be familiar with the tools and procedures required for this cloud-based loading paradigm.

Using Oracle Data Pump for Data Migration

Oracle Data Pump is a high-speed utility for moving data and metadata from one Oracle Database to another. It is a standard and highly effective method for migrating existing on-premises or cloud-based Oracle databases into the Autonomous Database, a key topic for the 1z0-931-20 Exam. The process involves using the Data Pump export utility (expdp) to create a set of dump files from your source database. These dump files contain the schema objects and the table data. Once the dump files are created, you upload them to OCI Object Storage. From there, you can use the Data Pump import utility (impdp) to load the data and metadata into your target Autonomous Database. The import process can be run from a client machine that has access to both the object store and the database. Alternatively, you can use the DBMS_CLOUD package to run the import directly from within the database, which is often the more efficient method. Data Pump is a versatile tool that provides fine-grained control over which objects and data are migrated.

Leveraging DBMS_CLOUD for Cloud-Based Data Loading

The DBMS_CLOUD PL/SQL package is a powerful and flexible tool specifically designed for interacting with cloud resources from within the Autonomous Database. A core competency for the 1z0-931-20 Exam is knowing how to use this package, particularly for loading data. The DBMS_CLOUD.COPY_DATA procedure allows you to load data directly from files in OCI Object Storage (or other supported cloud storage services) into a table in your database. This procedure is highly optimized for performance and can handle various file formats, including CSV and Parquet. To use DBMS_CLOUD, you first need to create a credential object in the database that securely stores the credentials required to access your object storage bucket. Then, you can call the COPY_DATA procedure, specifying the table name, the credential name, and the list of source file URLs. The package handles all the complexities of connecting to the object store, parsing the files, and loading the data in parallel. This is the preferred method for bulk data loading in most scenarios.

Introduction to Oracle Machine Learning (OML)

A key differentiator of the Autonomous Database, and an important topic for the 1z0-931-20 Exam, is the integrated Oracle Machine Learning (OML) component. OML provides a comprehensive platform for data scientists to build, evaluate, and deploy machine learning models directly within the database. This approach has significant advantages. By bringing the algorithms to the data, it eliminates the need to move large datasets out of the database to a separate ML platform, which improves security and reduces data movement overhead. The OML environment supports popular machine learning languages like Python and R, in addition to SQL. It includes a library of scalable, parallelized in-database machine learning algorithms for tasks like classification, regression, and clustering. The entire OML platform is available at no additional cost with the Autonomous Database subscription, making it a very accessible tool for organizations looking to incorporate machine learning into their data strategy.

Working with OML Notebooks for Data Analysis

The primary interface for working with Oracle Machine Learning is the OML Notebook environment, which is based on Apache Zeppelin technology. An OML notebook provides an interactive, web-based interface where users can write and execute code, visualize results, and add narrative text to document their analysis. A key aspect for the 1z0-931-20 Exam is understanding that these notebooks support multiple interpreters, allowing a data scientist to seamlessly mix SQL, PL/SQL, Python, and R code within a single notebook. For example, a user could write a SQL query to select and prepare data, then use a Python paragraph to train a machine learning model on that data using a library like scikit-learn, and finally use another SQL paragraph to score new data using the trained model. The notebooks come pre-installed with a rich set of Python and R libraries for data science and visualization. This collaborative and multi-lingual environment accelerates the data analysis and model development lifecycle.

Building and Deploying Machine Learning Models

The 1z0-931-20 Exam may cover the lifecycle of machine learning models within OML. Once a data scientist has developed a satisfactory model in a notebook, OML provides capabilities for deploying it. Models can be managed within the database, and you can make them available for other applications to use for scoring or predictions. One method of deployment is through REST APIs. OML can automatically create REST endpoints for your trained models, allowing any application that can make a web service call to get predictions from your model in real time. This tight integration of model building and deployment within the database streamlines the entire machine learning workflow. It simplifies the process of moving a model from the experimental phase in a notebook to a production-ready state where it can be consumed by business applications. This capability is a powerful feature of the Autonomous Database platform.

Go to testing centre with ease on our mind when you use Oracle 1z0-931-20 vce exam dumps, practice test questions and answers. Oracle 1z0-931-20 Oracle Autonomous Database Cloud 2020 Specialist certification practice test questions and answers, study guide, exam dumps and video training course in vce format to help you study with ease. Prepare with confidence and study using Oracle 1z0-931-20 exam dumps & practice test questions and answers vce from ExamCollection.