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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security, Integration and Data Management | 20% | - Configure identity and access management - Use Autonomous Database tools for development and administration - Load, migrate and integrate data from various sources - Implement data encryption and security controls |
| Topic 2: Database Management and Operations | 25% | - Perform patching, upgrades and lifecycle management - Monitor and manage database performance and resources - Implement backup, recovery and high availability strategies - Configure auto-scaling and storage management |
| Topic 3: Autonomous Database Architecture and Provisioning | 25% | - Integrate Autonomous Database with Oracle Cloud Infrastructure services - Provision and configure Autonomous Database on dedicated infrastructure - Describe Autonomous Database architecture and core components - Provision and configure Autonomous Database on shared infrastructure |
| Topic 4: AI Features and Capabilities | 30% | - Apply AI-assisted performance tuning and optimization - Use Oracle Machine Learning within Autonomous Database - Implement Select AI for natural language to SQL generation - Configure and use AI Vector Search |
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NEW QUESTION # 147
When working with an Autonomous Exadata Infrastructure supporting Autonomous Databases, where do you go to view the maintenance history of the Exadata?
Answer: B
Explanation:
Viewing the maintenance history of Autonomous Exadata Infrastructure (AEI) requires navigating the OCI console correctly. The correct path is:
Under Solutions and Platforms then Platform Services then Autonomous Exadata (C): In the OCI console, AEI is categorized under “Solutions and Platforms” (a section for integrated services), then “Platform Services” (covering cloud platform offerings), and finally “Autonomous Exadata.” Here, you select your AEI instance (e.g., by name or OCID), and the details page displays a “Maintenance History” section listing past events (e.g., patching dates, durations, and statuses like “Completed on 2025-03-01”). For example, a quarterly RU applied on January 15 might show “Patch Applied: RU 23.1” with start/end times. This path reflects AEI’s role as a dedicated platform supporting Autonomous Container Databases (ACDs) and Autonomous Databases (ADBs).
The incorrect options are:
Under Core Infrastructure then Compute then Autonomous Exadata (A): “Core Infrastructure” > “Compute” is for virtual machines or bare metal hosts, not Exadata infrastructure. AEI isn’t a compute instance; it’s a database platform.
Under Database then Autonomous Transaction Processing then Autonomous Exadata (B): “Database” > “Autonomous Transaction Processing” focuses on ATP instances, not the underlying Exadata infrastructure. AEI maintenance is separate from specific ADB types.
Under Core Infrastructure then Autonomous Exadata (D): “Core Infrastructure” doesn’t directly list AEI; it’s too broad and lacks the “Platform Services” context needed for Exadata-specific management.
This navigation ensures you access AEI-specific maintenance details efficiently.
NEW QUESTION # 148
Which are the two restrictions for an Always Free Autonomous Database? (Choose two.)
Answer: A,D
Explanation:
The Always Free tier of Autonomous Database has specific limits. The two correct restrictions are:
Maximum of two Always Free Databases per OCI tenancy (B): OCI’s Always Free tier allows up to two free ADB instances per tenancy (e.g., one ATP, one ADW). This limit ensures fair resource distribution across users. For example, you might create FREEATP1 (1 OCPU, 20 GB) and FREEADW1 (1 OCPU, 20 GB) in your tenancy, but a third free instance isn’t permitted—you’d need a paid upgrade. This is tracked by tenancy OCID, visible in the OCI console under “Limits.” Maximum of one OCPU per Database (D): Each Always Free ADB is capped at 1 OCPU, non-scalable, with 20 GB of storage. This restricts compute power (e.g., no auto-scaling to 3x like paid tiers), suitable for small workloads like dev/test apps. For instance, a free ATP instance runs a lightweight app with SELECT * FROM users, but can’t handle heavy concurrency due to the single OCPU.
The incorrect options are:
Supports only ATP as a workload type (A): False. Always Free supports both ATP (transactional) and ADW (warehouse) workload types, giving flexibility for OLTP or analytics (e.g., ATP for a web app, ADW for reports).
Oracle Application Express (APEX) not included (C): False. APEX is included in both free ATP and ADW instances, pre-installed and accessible via the OCI console (e.g., “Development” > “APEX”). You can build apps like a task tracker without extra cost.
These restrictions balance free access with resource constraints, encouraging upgrades for heavier use.
NEW QUESTION # 149
Which statement is FALSE about loading data into the Autonomous Database using the Data Load card in Database Actions?
Answer: C
Explanation:
The Data Load card in Database Actions (within ADB’s web interface) simplifies data loading. The false statement is:
You must first manually create your database credentials using DBMS_CLOUD.CREATE_CREDENTIAL before accessing your Oracle Object Storage Bucket (D): This is incorrect. The Data Load card automates credential management for Oracle Object Storage by leveraging the ADB instance’s IAM permissions. When you select an OCI Object Storage bucket in the UI, it uses the instance’s resource principal or user OCI credentials (e.g., from your signed-in OCI session), eliminating the need to manually run DBMS_CLOUD.CREATE_CREDENTIAL. For example, uploading sales.csv from a bucket via the Data Load card requires only bucket selection and file mapping—no PL/SQL credential setup. This automation enhances usability, contrasting with manual methods where CREATE_CREDENTIAL is needed (e.g., in SQL scripts).
The true statements are:
Data formats supported include: text, CSV, JSON, Avro, and Parquet (A): The Data Load card supports these formats, parsing them into tables using DBMS_CLOUD under the hood. E.g., a JSON file { "id": 1, "name": "John" } loads as rows.
Data can be loaded from a local data source (B): You can upload files directly from your local machine (e.g., a CSV on your desktop) via the browser interface, staging them temporarily for loading.
Data can be uploaded from several cloud storage sources including S3, Azure, Google Cloud, and Oracle Object Storage (C): The card supports these external cloud sources, requiring credentials (e.g., AWS keys), alongside native OCI Object Storage integration.
Data can be loaded from a remote database using Database Links (E): DBLinks allow pulling data from another Oracle database (e.g., INSERT INTO local_table SELECT * FROM remote_table@link), supported in the Data Load card.
The automation of credentials in D is a key differentiator for the UI-based Data Load feature.
NEW QUESTION # 150
Your company has a .NET application and wants to deploy it on Autonomous Database (ADB). What software is used to connect to ADB from the .NET application?
Answer: C
Explanation:
Connecting a .NET application to Autonomous Database (ADB) requires a specific client library compatible with Oracle’s database connectivity standards. The correct software is:
Oracle Data Access Components for Windows (D): Oracle Data Access Components (ODAC) for Windows is the recommended software for .NET applications to connect to ADB. ODAC includes the Oracle Data Provider for .NET (ODP.NET), which supports ADO.NET interfaces for database access. It enables .NET developers to use familiar APIs (e.g., OracleConnection, OracleCommand) to interact with ADB over Oracle Net Services, leveraging the secure TLS connection required by ADB (via the client wallet). For example, a .NET app might use ODAC to execute SELECT * FROM customers against an ADB instance, authenticating with a wallet downloaded from the OCI console. ODAC supports both managed and unmanaged modes: the managed ODP.NET is lightweight and assembly-based, while the unmanaged version integrates with Oracle Client libraries. To set it up, developers install ODAC (e.g., via NuGet or Oracle’s download site), configure the wallet (e.g., tnsnames.ora), and write code like:
csharp
CollapseWrapCopy
using Oracle.ManagedDataAccess.Client;
string connString = "User Id=USER1;Password=pwd;Data Source=adb_high"; using (OracleConnection conn = new OracleConnection(connString)) { conn.Open();
// Query execution here
}
This ensures seamless integration with ADB’s managed environment, supporting features like connection pooling and high performance.
The incorrect options are:
SQL*Plus (A): SQL*Plus is a command-line tool for SQL execution and administration, not a programmatic library for .NET applications. It’s unsuitable for embedding in a .NET app, as it lacks API integration and is meant for manual use (e.g., running scripts like SELECT * FROM table;).
You cannot use .NET with ADB (B): This is false. .NET is fully supported via ODAC, allowing applications (e.g., ASP.NET web apps or Windows services) to connect to ADB just like any Oracle database, provided the wallet and credentials are configured.
Java (C): Java uses JDBC (e.g., Oracle JDBC Driver) for database connectivity, not .NET. While JDBC works with ADB for Java apps, it’s irrelevant for a .NET environment, where ODAC is the standard.
ODAC’s robust support for .NET makes it the definitive choice, bridging Microsoft’s ecosystem with Oracle’s cloud database.
NEW QUESTION # 151
Which workload type does the Autonomous Database on dedicated infrastructure service currently support?
Answer: C
Explanation:
Autonomous Database on dedicated infrastructure supports multiple workload types. The correct answer is:
ATP and ADW (C): Autonomous Database on dedicated infrastructure supports both Autonomous Transaction Processing (ATP) for OLTP workloads (high concurrency, low latency) and Autonomous Data Warehouse (ADW) for analytical workloads (high throughput, complex queries). This dual support allows flexibility within a single dedicated Exadata infrastructure.
The incorrect options are:
Autonomous Transaction Processing only (A): Incorrect, as ADW is also supported.
Hybrid Columnar Compression (B): HCC is a data compression feature, not a workload type; it’s used within ADW but doesn’t define the workload.
Autonomous Data Warehouse only (D): Incorrect, as ATP is also supported.
This versatility is a key feature of dedicated deployments.
NEW QUESTION # 152
......
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