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Oracle 1Z0-931-25 Exam Syllabus Topics:
Topic
Details
Topic 1
- Autonomous Database Tools: This section of the exam measures the skills of Data Analysts and covers the tools available within Autonomous Databases for advanced data processing and analytics. It includes Oracle Machine Learning, APEX, and SQL Developer Web for database development, as well as data transformation, business model creation, data insights, and data analysis, allowing analysts to extract valuable insights from large datasets.
Topic 2
- Migrating to Autonomous Database: This section of the exam measures the skills of Cloud Migration Specialists and covers strategies for migrating existing databases to Autonomous Database. It includes understanding migration considerations, and available options, and using Oracle Data Pump to transfer data seamlessly while minimizing downtime, ensuring smooth transitions to Oracle Cloud infrastructure.
Topic 3
- 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 4
- Autonomous Database Shared: This section of the exam measures the skills of Cloud Engineers and focuses on creating and managing shared Autonomous Database instances. It includes provisioning, scaling, and starting or stopping instances, as well as database consolidation with Elastic Resource Pools. It also covers user management, cloning, database migration, monitoring, backup and restore processes, and introduces Data Guard for high availability, ensuring cloud engineers can maintain optimal database performance.
Topic 5
- 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.
Topic 6
- 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.
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Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q70-Q75):
NEW QUESTION # 70
Which tab in the Data Load Explore tool shows the size of the table and the number of rows and columns?
- A. Statistics tab
- B. Data Sources tab
- C. Hierarchies tab
- D. Measures tab
Answer: A
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 # 71
Which two actions can you perform with Autonomous Data Guard enabled on Autonomous Database on Shared Infrastructure? (Choose two.)
- A. Failover
- B. Switchover
- C. Reinstate
- D. View Apply Lag
- E. Change Protection Mode
Answer: A,B
Explanation:
Autonomous Data Guard on Shared Infrastructure enhances ADB availability with standby databases. The two correct actions are:
Switchover (C): A switchover swaps roles between the primary and standby databases in a planned manner, with no data loss (RPO = 0). You initiate this via the OCI console (e.g., "Switchover" button on the primary ADB's Data Guard section) or API (e.g., oci db autonomous-database switchover). For example, before maintenance on the primary, you switch to the standby in another region (e.g., from us-ashburn-1 to us-phoenix-1), taking ~2 minutes (RTO ≈ 2 min). This ensures continuity without downtime, as the standby becomes primary seamlessly.
Failover (D): A failover promotes the standby to primary during an unplanned outage (e.g., primary region failure), also with RPO = 0 due to synchronous replication. Trigger it via the OCI console (e.g., "Failover" on the standby) or API (e.g., oci db autonomous-database failover). For instance, if us-ashburn-1 crashes, the standby in us-phoenix-1 takes over in ~2 minutes, preserving all committed transactions. It's automatic in some cases (e.g., severe failure), but manual initiation is supported too.
The incorrect options are:
View Apply Lag (A): While relevant in traditional Data Guard (measuring replication delay), Autonomous Data Guard on shared ADB uses synchronous replication (zero lag), and apply lag isn't a user-actionable metric exposed in the UI-monitoring focuses on role status, not lag.
Reinstate (B): Reinstatement (restoring a failed primary as a standby) isn't a user action in shared infrastructure. Oracle manages post-failover recovery, and users can't manually reinstate; a new standby might be provisioned instead.
Change Protection Mode (E): Traditional Data Guard offers modes (e.g., Maximum Availability), but in Autonomous Data Guard on shared infrastructure, the mode is fixed (synchronous, akin to Maximum Availability), and users can't modify it-control is limited to switchover/failover.
These actions ensure high availability with user-initiated role changes.
NEW QUESTION # 72
What are three characteristics of Data Lake data captured in Object Storage? (Choose three.)
- A. Mixed data types
- B. High transaction performance
- C. Multiple subject areas
- D. Schema on read
- E. High concurrency
Answer: A,C,D
Explanation:
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.
NEW QUESTION # 73
Which Autonomous Database Service is NOT used to connect to an Autonomous Transaction Processing instance?
- A. LOW
- B. TPPERFORMANT
- C. HIGH
- D. MEDIUM
- E. TPURGENT
Answer: B
Explanation:
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.
NEW QUESTION # 74
Which statement is correct with respect to the required action to move Oracle Autonomous Database resources to a different compartment?
- A. Moving the compartment of the Autonomous Database also moves the Autonomous Container Database and Autonomous Exadata Infrastructure.
- B. Autonomous Exadata Infrastructure instances and Autonomous Container Databases have no dependent resources that move with them. Associated (non-dependent) resources remain in their current compartments.
- C. Moving an Autonomous Database instance does not include its automatic backups.
- D. You do not require sufficient access permissions on the compartment that the resource is being moved to.
Answer: B
Explanation:
Moving resources between compartments in OCI has specific rules:
Correct Answer (C): "Autonomous Exadata Infrastructure instances and Autonomous Container Databases have no dependent resources that move with them. Associated (non-dependent) resources remain in their current compartments" is correct. For dedicated deployments, moving these resources leaves related items (e.g., backups, network configurations) in their original compartments unless explicitly moved.
Incorrect Options:
A: Backups move with the database instance in shared infrastructure, not dedicated.
B: Permissions are required for both source and target compartments.
D: Moving an Autonomous Database doesn't automatically move its container or infrastructure in dedicated setups.
This reflects OCI's compartmental resource management.
NEW QUESTION # 75
......
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