1Z0-931-25 VALID EXAM REGISTRATION | TOP 1Z0-931-25 EXAM DUMPS

1Z0-931-25 Valid Exam Registration | Top 1Z0-931-25 Exam Dumps

1Z0-931-25 Valid Exam Registration | Top 1Z0-931-25 Exam Dumps

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Oracle 1Z0-931-25 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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.
Topic 4
  • 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.

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Pass Guaranteed Quiz 2025 Oracle 1Z0-931-25 – Professional Valid Exam Registration

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Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q47-Q52):

NEW QUESTION # 47
Autonomous Database's auto scaling feature allows your database to use up to three times the current base number of OCPU cores at any time. As demand increases, auto scaling automatically increases the number of cores in use. Likewise, as demand drops, auto scaling automatically decreases the number of cores in use. Which statement is FALSE regarding the auto scaling feature?

  • A. For databases on dedicated Exadata infrastructure, the maximum number of cores is limited by the number of free cores that are not being used by other auto scaling databases to meet high-load demands.
  • B. The base number of OCPU cores allocated to a database is not guaranteed.
  • C. Auto Scaling is enabled by default and can be enabled or disabled at any time.
  • D. For databases on dedicated Exadata infrastructure, the maximum number of cores available to a database depends on the total number of cores available in the Exadata infrastructure instance.

Answer: B

Explanation:
Auto scaling in Autonomous Database dynamically adjusts OCPU usage up to three times the base allocation. Let's evaluate each statement:
Correct Answer (C): "The base number of OCPU cores allocated to a database is not guaranteed" is false. The base OCPU count, set during provisioning or manual scaling, is always guaranteed as the minimum available resource, even with auto scaling enabled. Auto scaling only increases usage above this baseline when needed.
True Statements:
A: On dedicated Exadata, the max cores for auto scaling are constrained by available free cores not used by other databases, ensuring resource fairness.
B: The total cores in the Exadata instance define the upper limit for any database's auto scaling capacity.
D: Auto scaling is not enabled by default (must be explicitly activated) and can be toggled on/off, though this statement's phrasing could be clearer-it's still true in context.
This guarantees predictable minimum performance while allowing flexibility for peak loads.


NEW QUESTION # 48
Which subset of services is offered via OCI-CLI (Command Line Interface) for Autonomous Database (ADB) via calls made to the OCI APIs?

  • A. Create, Query, Update, List, Start
  • B. Create, Get, List, Stop, Restore
  • C. Start, Delete, Update, Query, Stop
  • D. Create, Query, List, Stop, Restore

Answer: B

Explanation:
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.


NEW QUESTION # 49
Which set of options can be specified when defining the preferred maintenance schedule of the Exadata Infrastructure for Autonomous Database Dedicated?

  • A. Month of the Quarter, Week of the Month, Day of the Week, Start Hour
  • B. Month of the Year, Week of the Month, Day of the Week, Start Hour
  • C. Quarter of the Year, Month of the Quarter, Date of the Month, Start Hour
  • D. Week of the Quarter, Day of the Week, Start Hour

Answer: A

Explanation:
Defining a maintenance schedule for Dedicated Exadata Infrastructure allows customization:
Correct Answer (B): "Month of the Quarter, Week of the Month, Day of the Week, Start Hour" is the correct set. For example, you can specify "Month 2 of Q1, Week 3, Wednesday, 02:00 AM," aligning with quarterly planning while offering weekly and daily precision.
Incorrect Options:
A: "Quarter of the Year" and "Date of the Month" are less flexible than week-based options and not the standard format.
C: "Month of the Year" skips the quarterly structure used in dedicated maintenance.
D: Omits "Month of the Quarter," reducing granularity.
This flexibility minimizes disruption for dedicated deployments.


NEW QUESTION # 50
Which two optimizations are different between Autonomous Data Warehouse and Autonomous Transaction Processing? (Choose two.)

  • A. Memory Usage
  • B. Backup Retention
  • C. Undo Management
  • D. Data Organization

Answer: A,D

Explanation:
Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP) are optimized for different workloads, reflected in their configurations. The two differing optimizations are:
Memory Usage (A): ADW and ATP allocate memory differently to suit their purposes. ADW prioritizes a larger data cache (part of the SGA) to keep more data in memory, boosting analytical query performance (e.g., aggregations over millions of rows). For example, a SELECT SUM(sales) GROUP BY region runs faster with more cached data. ATP, conversely, balances memory across the SGA and PGA for transactional workloads, emphasizing concurrency and quick row-level operations (e.g., UPDATE orders SET status = 'shipped'). This difference ensures ADW excels at scan-heavy analytics, while ATP handles high-throughput updates.
Data Organization (B): ADW uses a columnar storage format (e.g., Hybrid Columnar Compression) optimized for analytics, storing data by column to speed up aggregations and reduce I/O (e.g., scanning only the sales column for a SUM). ATP uses a row-based format suited for OLTP, enabling fast single-row access and updates (e.g., retrieving or modifying a specific order_id). For instance, inserting a row in ATP is efficient due to row storage, while ADW's columnar format accelerates SELECT AVG(price) FROM products.
The incorrect options are:
Backup Retention (C): Both ADW and ATP use the same automatic backup system (via Oracle's Automatic Workload Repository), with a default 60-day retention adjustable by users. There's no optimization difference here; it's a shared managed feature.
Undo Management (D): Both databases use Oracle's Flashback technology for undo (e.g., rolling back transactions or querying past states), with retention periods set similarly. Undo is managed automatically in both, not optimized differently.
These optimizations tailor ADW for analytics and ATP for transactions, despite their shared autonomous foundation.


NEW QUESTION # 51
Which Autonomous Database Service is NOT used to connect to an Autonomous Transaction Processing instance?

  • A. HIGH
  • B. MEDIUM
  • C. TPURGENT
  • D. LOW
  • E. TPPERFORMANT

Answer: E

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 # 52
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