Data Lakes in OCI Object Storage store raw data for analysis. The three correct characteristics are:

Schema on read (C): Data Lakes store data in its raw, native format (e.g., JSON, CSV, Parquet) without

a predefined schema. The schema is applied when data is read or processed, not when written,

offering flexibility. For example, a Parquet file with sales data might be queried with SQL only when

analyzed, not structured upfront like in a database.

Multiple subject areas (D): Data Lakes aggregate data from diverse sources—sales, HR, IoT—

spanning multiple subject areas. This enables cross-domain analysis, like combining customer data

with weather data for insights, all stored in a single OCI bucket.

Mixed data types (E): Data Lakes support varied formats: structured (e.g., CSV tables), semi-

structured (e.g., JSON documents), and unstructured (e.g., videos). For instance, a bucket might hold

CSV logs, JSON events, and image files, all accessible for processing.

The incorrect options are:

High concurrency (A): Data Lakes in Object Storage are not designed for high-concurrency

transactional access (e.g., thousands of simultaneous updates). They’re optimized for batch

processing or analytics, unlike ATP’s concurrency focus.

High transaction performance (B): Transactional performance (e.g., fast commits) is a database

strength, not a Data Lake’s. Object Storage prioritizes scalability and durability over transactional

speed, making it unsuitable for OLTP workloads.

These traits make Data Lakes ideal for big data analytics, not real-time transactions.

Reference: Oracle Cloud Infrastructure Documentation - Object Storage Overview

Full Detailed In-Depth Explanation:

Autonomous Transaction Processing (ATP) supports specific service names for connectivity:

TPURGENT: High-priority service with 200 concurrent statements per OCPU and parallelism.

MEDIUM: Balanced service for moderate workloads.

HIGH: Optimized for reporting/batch jobs with high parallelism.

LOW: Low-priority service for minimal resource use.

TP: General-purpose transactional service.

TPPERFORMANT is not a recognized service name in ATP documentation, making A the correct

answer.

Reference: Oracle Autonomous Database Shared Documentation - Service Names

Managing Autonomous Database via REST APIs relies on OCI authentication:

Correct Answer (D): “Database ADMIN password” is not needed. REST API access uses OCI IAM

credentials, not database-level credentials like the ADMIN password.

Required Items:

A: User’s OCID identifies the API caller.

B: Tenancy’s OCID specifies the cloud environment.

C: Fingerprint of the public key authenticates API requests with a private-public key pair.

This ensures secure, external management without exposing database credentials.

Reference: REST API Authentication

Autonomous Database provides predefined roles tailored to specific use cases. The correct answer is: DWROLE (B): The DWROLE predefined role is designed for Data Warehouse developers. It includes privileges commonly needed for data warehousing tasks, such as creating tables, views, and materialized views, as well as executing analytical queries. This role is optimized for Autonomous Data Warehouse (ADW) workloads. The incorrect options are: ADBDEV (A): There is no predefined ADBDEV role in Autonomous Database; this appears to be a fictional or misinterpreted role. ADMIN (C): The ADMIN role is a superuser role with full database privileges, far exceeding the needs of a typical Data Warehouse developer and not tailored to that specific use case. ADWC (D): This is not a predefined role; it might be a typo or confusion with ADW (Autonomous Data Warehouse), but no such role exists. DWROLE is the best fit for a Data Warehouse developer’s needs. Reference: Oracle Cloud Infrastructure Documentation - Predefined Database Roles

Creating an Autonomous Database offers specific deployment options. The two correct ones are:

APEX Service on Dedicated Infrastructure (A): This option provisions an Autonomous Database on

dedicated Exadata infrastructure with Oracle Application Express (APEX) pre-installed and optimized.

It’s ideal for APEX-based apps (e.g., custom web forms) requiring isolated resources. In the OCI

console, you select “Dedicated Infrastructure” and “APEX Service” as the workload type, specifying

OCPUs and storage. For example, a company might deploy an APEX app for internal reporting on a

dedicated ACD, ensuring performance isolation from other tenants.

Autonomous JSON Database on Shared Infrastructure (C): This creates a schema-less, JSON-centric

ADB on shared infrastructure, optimized for document storage (e.g., { "order_id": 123, "items": [...]

}). It’s provisioned via the OCI console under “Shared Infrastructure,” selecting “JSON Database” as

the workload type. For instance, a mobile app might use it to store user data, leveraging SQL/JSON

queries like SELECT JSON_VALUE(doc, '$.order_id'). It’s cost-effective and fully managed, sharing

Exadata resources.

The incorrect options are:

APEX Service on Shared Infrastructure (B): There’s no distinct “APEX Service” workload type on

shared infrastructure. APEX is available within ATP or ADW on shared infra, but it’s not a standalone

option—you’d provision ATP and enable APEX manually, not as a dedicated “APEX Service.”

Autonomous JSON Database on Dedicated Infrastructure (D): JSON Database is only offered on

shared infrastructure, not dedicated. Dedicated options include ATP, ADW, and APEX Service, but

JSON Database leverages shared resources for simplicity and cost.

These options cater to specific app development (APEX) and NoSQL (JSON) needs.

Reference: Oracle Cloud Infrastructure Documentation - Creating Autonomous Database

Oracle Spatial Studio is a self-service tool for working with spatial data in Autonomous Database. The

three correct functions are:

Map visualization (A): Spatial Studio provides robust capabilities to visualize spatial data on

interactive maps, enabling users to explore geographic patterns and relationships visually.

Spatial analysis (C): It offers tools for performing spatial operations like proximity analysis, spatial

joins, and buffering, which are essential for deriving insights from geographic data.

Spatial data editing (E): Users can edit spatial data, such as modifying geometries or updating

attributes, directly within Spatial Studio, making it a powerful tool for data management.

The incorrect options are:

Custom SQL queries (B): While Spatial Studio supports spatial operations, it is primarily a graphical

tool and does not focus on executing custom SQL queries. Such functionality is more aligned with

tools like SQL Developer.

Geocoding (D): Geocoding (converting addresses to coordinates) is not a core feature of Spatial

Studio. It focuses on visualization, analysis, and editing rather than address-to-coordinate

conversion, which is typically handled by separate Oracle services or tools.

These functions align with Spatial Studio’s purpose of simplifying spatial data management and

analysis.

Reference: Oracle Cloud Infrastructure Documentation - Spatial Studio Overview

ACLs control network access to Autonomous Database on Shared Infrastructure:

Correct Answer (B): “When you restore a database, the existing ACLs are not overwritten by the

restore” is true. ACLs are part of the database’s network configuration, preserved during restore

operations to maintain security settings.

Incorrect Options:

A: ACLs can include both IP addresses and VCN CIDR blocks simultaneously; they’re not mutually

exclusive.

C: ACLs apply to public endpoints, not just private ones, to restrict access.

D: ACLs can be modified post-creation, not just at provisioning time.

This ensures consistent security post-restore.

Reference: Access Control Rules

Autonomous Database on Dedicated Infrastructure supports customer-managed encryption (CME)

keys for enhanced security control. The correct vaults are:

Oracle Key Vault, Oracle Cloud Infrastructure Vault (D):

Oracle Key Vault (OKV): A centralized key management solution designed for Oracle environments,

OKV securely stores and manages encryption keys. It integrates with Autonomous Database to

provide customer-managed TDE (Transparent Data Encryption) keys, offering features like key

rotation and auditing. For example, a DBA might upload a master encryption key to OKV, which the

database then uses to encrypt data at rest.

Oracle Cloud Infrastructure Vault (OCI Vault): OCI Vault is a general-purpose secrets management

service in OCI, capable of storing encryption keys, passwords, and other sensitive data. It supports

storing TDE keys for Autonomous Database, providing a cloud-native option with high availability and

scalability. You might store a key in OCI Vault and link it to your database via the OCI console.

The incorrect options are:

Oracle Audit Vault, Oracle Key Vault (A): Oracle Audit Vault is for audit log management and analysis,

not key storage. It doesn’t support CME for Autonomous Database.

Oracle Cloud Infrastructure Vault, Oracle Database Vault (B): Oracle Database Vault enforces access

controls within the database but isn’t a key storage vault; it’s about privilege management, not key

management.

Oracle Database Vault, Oracle Key Vault (C): As above, Database Vault isn’t a key storage solution,

making this pairing incorrect.

Both OKV and OCI Vault offer robust security for CME, giving customers flexibility based on their

infrastructure p

(on-premises OKV vs. cloud-based OCI Vault).

Reference: Oracle Cloud Infrastructure Documentation - Customer-Managed Keys

The OCI Command Line Interface (CLI) provides a range of commands for managing Autonomous

Database via OCI APIs. The correct answer is:

Create, Get, List, Stop, Restore (B): These are key operations supported by the OCI CLI for

Autonomous Database:

Create: oci db autonomous-database create provisions a new ADB instance.

Get: oci db autonomous-database get retrieves details of a specific ADB.

List: oci db autonomous-database list lists all ADBs in a compartment.

Stop: oci db autonomous-database stop halts the database.

Restore: oci db autonomous-database restore restores from a backup.

The incorrect options are:

A (Start, Delete, Update, Query, Stop): “Query” is not a CLI command; “Delete” and “Update” are

valid but not part of this specific subset.

C (Create, Query, Update, List, Start): “Query” is invalid; “Update” is supported but not listed here.

D (Create, Query, List, Stop, Restore): “Query” is not a valid CLI operation.

This subset reflects common management tasks via CLI.

Reference: Oracle Cloud Infrastructure Documentation - OCI CLI for Autonomous Database

Oracle Data Safe enhances database security across various Oracle environments. The false

statement is:

Oracle Data Safe only supports Autonomous Database (D): This is incorrect. Oracle Data Safe supports

a wide range of Oracle databases, not just Autonomous Database. It works with Autonomous

Database (shared and dedicated), Oracle Database Cloud Service (VM and Bare Metal), Exadata DB

Systems, on-premises Oracle Databases, and Oracle Database on OCI Compute. For example, a DBA

could use Data Safe to mask sensitive data in an on-premises 19c database or assess security in an

Exadata Cloud@Customer deployment, not just ADB. This broad compatibility makes it a unified

security tool across Oracle’s ecosystem.

The true statements are:

Oracle Data Safe helps you find sensitive data in your database by inspecting the actual data in your

database and its data dictionary (A): Data Safe’s Data Discovery feature scans tables and metadata to

identify sensitive columns (e.g., SSNs, credit card numbers), using predefined and custom patterns.

Oracle Data Safe helps you assess the security of your cloud database configurations by analyzing

database configurations (B): The Security Assessment feature evaluates settings like encryption,

auditing, and privileges, providing risk scores and recommendations.

Oracle Data Safe evaluates user types, how users are authenticated, and the password policies

assigned to each user (C): User Assessment analyzes user accounts, authentication methods (e.g.,

password, SSO), and policies, highlighting risks like weak passwords.

The misconception in D limits Data Safe’s scope, which extends beyond ADB to all supported Oracle

databases.

Reference: Oracle Cloud Infrastructure Documentation - Data Safe Overview