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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Database Management and Operations | 25% | - Configure auto-scaling and storage management - Implement backup, recovery and high availability strategies - Perform patching, upgrades and lifecycle management - Monitor and manage database performance and resources |
| Topic 2: AI Features and Capabilities | 30% | - Configure and use AI Vector Search - Implement Select AI for natural language to SQL generation - Use Oracle Machine Learning within Autonomous Database - Apply AI-assisted performance tuning and optimization |
| Topic 3: Security, Integration and Data Management | 20% | - Configure identity and access management - Load, migrate and integrate data from various sources - Use Autonomous Database tools for development and administration - Implement data encryption and security controls |
| Topic 4: Autonomous Database Architecture and Provisioning | 25% | - Provision and configure Autonomous Database on dedicated infrastructure - Describe Autonomous Database architecture and core components - Provision and configure Autonomous Database on shared infrastructure - Integrate Autonomous Database with Oracle Cloud Infrastructure services |
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NEW QUESTION # 62
What are two advantages of using Data Pump to migrate your Oracle databases to Autonomous Database? (Choose two.)
Answer: B,D
Explanation:
Oracle Data Pump is a powerful tool for migrating databases to Autonomous Database (ADB). The two correct advantages are:
Data Pump can exclude migration of objects like indexes and materialized views that are not needed by Autonomous Database (C): True. Data Pump’s EXCLUDE parameter allows skipping objects like indexes and materialized views during export (e.g., expdp ... EXCLUDE=INDEX,MATERIALIZED_VIEW). In ADB, these objects are often redundant because the database automatically creates and manages them based on workload (e.g., auto-indexing). For example, exporting a schema with EXCLUDE=INDEX from an on-premises database reduces migration overhead, as ADB recreates necessary indexes post-import, optimizing for its managed environment. This flexibility minimizes unnecessary data transfer and speeds up the process.
Data Pump is platform-independent - it can migrate Oracle databases running on any platform (D): True. Data Pump uses a platform-agnostic dump file format (.dmp), enabling migration from any Oracle Database (e.g., on Linux, Windows, or Solaris) to ADB in the cloud. For instance, you could export from an Oracle 12c database on AIX, upload the dump to OCI Object Storage, and import it into ADB using DBMS_CLOUD.COPY_DATA, regardless of endianness or OS differences (handled by Data Pump’s conversion). This universality makes it ideal for heterogeneous migrations.
The incorrect options are:
Data Pump is faster to migrate database than using RMAN (A): False. Speed depends on context—RMAN (Recovery Manager) is faster for physical migrations (e.g., restoring backups) of entire databases, especially large ones, due to block-level copying. Data Pump, a logical migration tool, extracts and loads data row-by-row, which can be slower for massive datasets but offers more control (e.g., schema selection). No universal speed advantage exists; it’s workload-specific.
Data Pump creates the tablespaces used by your Autonomous Database (B): False. In ADB, tablespaces are fully managed by Oracle (e.g., DATA tablespace), and Data Pump doesn’t create them. It imports data into existing, pre-allocated storage, ignoring source tablespace definitions. E.g., a source tablespace USERS is mapped to ADB’s default storage, not recreated.
These advantages make Data Pump a versatile, tailored migration solution for ADB.
NEW QUESTION # 63
Which set of Oracle Cloud Infrastructure metrics is available only for Autonomous Database on Dedicated Infrastructure?
Answer: B
Explanation:
Autonomous Database on Dedicated Infrastructure provides unique metrics due to its Exadata underpinnings:
Correct Answer (C): “IOPS, Storage used by tablespace, Apply and Transport Lag” are specific to dedicated deployments:
IOPS: Measures input/output operations per second, reflecting Exadata storage performance.
Storage used by tablespace: Tracks storage allocation at the tablespace level, unique to dedicated infrastructure’s granular control.
Apply and Transport Lag: Relevant for Data Guard configurations, showing replication delays, available only in dedicated setups with standby databases.
Incorrect Options:
A: Transaction Count, Running Statements, and Sessions are general metrics available in both shared and dedicated environments.
B: CPU and Storage Utilization are standard across all Autonomous Database types.
D: Query Latency, User Calls, and Execute Count are also common metrics, not exclusive to dedicated infrastructure.
These metrics offer deeper insights into dedicated Exadata performance.
NEW QUESTION # 64
Users connect to Autonomous Data Warehouse by using one of the following consumer groups: High, Medium, and Low. Which statement is true?
Answer: D
Explanation:
Autonomous Data Warehouse (ADW) uses consumer groups (High, Medium, Low) to manage resource allocation:
Correct Answer (A): “Low provides highest concurrency and lowest resources, and DoP is 1” is true. The Low group is designed for many lightweight, short-running queries, offering maximum concurrent sessions but minimal CPU/memory per session, with a Degree of Parallelism (DoP) of 1 (serial execution).
Incorrect Options:
B: High prioritizes resources, not concurrency; it has fewer sessions with more power.
C: Medium offers balanced resources and concurrency; queries can run in parallel (DoP > 1), not just serially.
D: High has high resources but low concurrency; DoP is typically higher than 1 for resource-intensive tasks.
This setup optimizes ADW for varied workloads.
NEW QUESTION # 65
Oracle Data Safe is a unified control center for your Oracle databases which helps you understand the sensitivity of your data, evaluate risks to data, mask sensitive data, implement and monitor security controls, assess user security, monitor user activity, and address data security compliance requirements. Which statement is FALSE for Oracle Data Safe?
Answer: A
Explanation:
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.
NEW QUESTION # 66
You are the admin user of an Autonomous Database (ADB) instance. A new business analyst has joined the team and would like to explore ADB tables using SQL Developer Web. What steps do you need to take?
Answer: C
Explanation:
Enabling a new business analyst to use SQL Developer Web with Autonomous Database requires specific steps. The correct answer is:
Create a database user (with connect, resource, object privileges), enable the schema to use SQL Developer Web, and provide the user with the user-specific modified URL (C):
Create a database user: As the ADMIN user, create a new database user (e.g., ANALYST1) with CONNECT (to log in), RESOURCE (to create objects), and object-specific privileges (e.g., SELECT on target tables). Example: CREATE USER ANALYST1 IDENTIFIED BY "password"; GRANT CONNECT, RESOURCE TO ANALYST1; GRANT SELECT ON HR.EMPLOYEES TO ANALYST1;. This ensures the analyst can access and query tables.
Enable the schema for SQL Developer Web: Use the ORDS_ADMIN.ENABLE_SCHEMA procedure to activate the schema for web access. Example: EXEC ORDS_ADMIN.ENABLE_SCHEMA(p_schema => 'ANALYST1');. This step integrates the user with Oracle REST Data Services (ORDS), which powers SQL Developer Web in ADB.
Provide the user-specific URL: After enabling the schema, generate and share the SQL Developer Web URL, which includes the user’s credentials (e.g., https://<adb-host>/ords/analyst1/_sdw). The analyst logs in with their database username and password, accessing a browser-based SQL interface to explore tables.
The incorrect options are:
Create a database user with connect, resource, and object privileges (A): This alone isn’t enough; without enabling the schema for SQL Developer Web, the user can’t access it via the web interface.
Create a database user with the default privileges (B): Default privileges (e.g., just CONNECT) are insufficient for table access or web use; specific grants and ORDS setup are needed.
Create an IDCS user, create a database user with connect, resource, and object privileges (D): Oracle Identity Cloud Service (IDCS) integration is optional and not required for basic SQL Developer Web access in ADB. It’s overkill unless SSO is mandated, which isn’t specified here.
This multi-step process ensures secure, web-based access tailored to the analyst’s needs.
NEW QUESTION # 67
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