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Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q105-Q110):

NEW QUESTION # 105
In which four ways can Oracle Database optimally access data in Object Storage? (Choose four.)

A. Optimized data archive using hybrid partitioned tables
B. Scan avoidance using columnar pruning for columnar stores like parquet and orc
C. Scan avoidance using columnar pruning for .csv files
D. Scan avoidance using partitioned external tables
E. Optimized data archive using partitioned external tables
F. Scan avoidance using block skipping when reading parquet and orc files

Answer: A,B,D,E

Explanation:
Oracle Database provides several techniques to optimize data access from Object Storage, particularly in the context of Autonomous Database, leveraging external tables and advanced storage formats. The question asks for four correct methods, and based on Oracle documentation, the following are the most applicable:
Correct Answer (A): Scan avoidance using partitioned external tables
Partitioned external tables allow Oracle Database to skip irrelevant partitions when querying data stored in Object Storage. By organizing data into partitions (e.g., by date or region), the database engine can prune partitions that don't match the query predicates, significantly reducing the amount of data scanned and improving performance. This is a well-documented optimization for external data access in Oracle Database and Autonomous Database environments.
Correct Answer (D): Scan avoidance using columnar pruning for columnar stores like parquet and orc Columnar pruning is a technique where only the required columns are read from columnar file formats such as Parquet or ORC stored in Object Storage. These formats store data column-wise, enabling the database to avoid scanning entire rows or irrelevant columns, which is particularly efficient for analytical queries common in Autonomous Data Warehouse (ADW). This is a standard optimization supported by Oracle's external table framework when accessing Object Storage.
Correct Answer (E): Optimized data archive using hybrid partitioned tables Hybrid partitioned tables combine local database partitions with external partitions stored in Object Storage. This allows older, less frequently accessed data to be archived efficiently in the cloud while remaining queryable alongside active data in the database. The database optimizes access by seamlessly integrating these partitions, reducing costs and improving archival efficiency. This feature is explicitly supported in Oracle Database and enhanced in Autonomous Database for data lifecycle management.
Correct Answer (F): Optimized data archive using partitioned external tables Similar to hybrid partitioned tables, using partitioned external tables alone optimizes data archiving by storing historical data in Object Storage with partitioning (e.g., by year). This method enables efficient querying of archived data by pruning unneeded partitions, offering a cost-effective and scalable archival solution. It's a distinct approach from hybrid tables, focusing solely on external storage, and is widely used in Oracle environments.
Incorrect Options:
B . Scan avoidance using columnar pruning for .csv files
CSV files are row-based, not columnar, and lack the internal structure of formats like Parquet or ORC. While Oracle can read CSVs from Object Storage via external tables, columnar pruning is not applicable because CSVs don't support column-wise storage or metadata for pruning. This makes this option incorrect as a specific optimization technique, though basic predicate pushdown might still reduce scanning to some extent.
C . Scan avoidance using block skipping when reading parquet and orc files Block skipping (or row group skipping) is a feature in some database systems where metadata in Parquet or ORC files allows skipping entire blocks of data based on query filters. While Oracle supports Parquet and ORC through external tables and can leverage their columnar nature (via pruning), "block skipping" is not explicitly highlighted as a primary optimization in Oracle's documentation for Autonomous Database. It's more commonly associated with systems like Apache Spark or Hive. Oracle's focus is on columnar pruning and partitioning, making this option less accurate in this context.
Why Four Answers?
The question specifies "four ways," and while six options are provided, A, D, E, and F are the most directly supported and documented methods in Oracle Autonomous Database for optimizing Object Storage access. Options B and C, while conceptually related to data access optimizations, are either inapplicable (CSV lacks columnar structure) or not explicitly emphasized (block skipping) in Oracle's feature set for this purpose.
This selection aligns with Oracle's focus on partitioning and columnar formats for efficient cloud data access, ensuring both performance and archival optimization.
Reference:
External Tables and Object Storage
Hybrid Partitioned Tables
Autonomous Database Data Loading

NEW QUESTION # 106
Which two statements are true about Recovery Time Objective (RTO) and Recovery Point Objective (RPO) for Autonomous Data Guard? (Choose two.)

A. RTO is 2 minutes for an automatic failover
B. RPO is 0 minutes for an automatic failover
C. RPO is adjustable, but RTO is always 5 minutes
D. RTO and RPO are adjustable through the OCI console
E. RTO and RPO are 0 minutes for manual failovers

Answer: A,B

Explanation:
Autonomous Data Guard enhances high availability for Autonomous Database. The two true statements are:
RPO is 0 minutes for an automatic failover (C): Recovery Point Objective (RPO) measures potential data loss. With Autonomous Data Guard, the standby database is synchronously replicated with the primary, ensuring zero data loss (RPO = 0) during an automatic failover, as all transactions are mirrored in real-time.
RTO is 2 minutes for an automatic failover (E): Recovery Time Objective (RTO) measures downtime during failover. For Autonomous Data Guard, Oracle specifies an RTO of approximately 2 minutes for automatic failovers, reflecting the time to detect failure and promote the standby to primary.
The incorrect options are:
RTO and RPO are adjustable through the OCI console (A): RTO and RPO are fixed by the Autonomous Data Guard architecture and cannot be manually adjusted via the OCI console.
RPO is adjustable, but RTO is always 5 minutes (B): RPO is not adjustable (it's 0 due to synchronous replication), and RTO is not fixed at 5 minutes; it's typically 2 minutes for automatic failover.
RTO and RPO are 0 minutes for manual failovers (D): Manual failovers (switchovers) have an RTO greater than 0 (typically a few minutes) due to manual initiation, though RPO remains 0 with synchronous replication.
These values ensure minimal disruption and data loss.

NEW QUESTION # 107
Which two statements are true about using an Oracle Autonomous Database with private endpoints? (Choose two.)

A. A Network Security Group is required within your Virtual Cloud Network before you can provision a shared Autonomous Database to use private endpoints.
B. An Autonomous Database with private endpoints can be accessed from the public internet by adding your IP address to an Access Control List (ACL).
C. You can configure private endpoints for an Always Free Autonomous Database
D. Private endpoints can be configured when you clone a shared Autonomous Database that was initially created with public endpoints.

Answer: A,D

Explanation:
Private endpoints enhance security for Autonomous Database:
Correct Answer (A): "A Network Security Group is required within your Virtual Cloud Network before you can provision a shared Autonomous Database to use private endpoints" is true. An NSG is mandatory to define ingress/egress rules for the private subnet hosting the endpoint.
Correct Answer (C): "Private endpoints can be configured when you clone a shared Autonomous Database that was initially created with public endpoints" is true. Cloning allows switching to a private endpoint configuration.
Incorrect Options:
B: Private endpoints are inaccessible from the public internet, even with ACLs; that's their purpose.
D: Always Free tier doesn't support private endpoints; it's limited to public access.
This ensures isolated, secure connectivity.

NEW QUESTION # 108
Which statement is true about the use of Access Control Lists (ACLs) with an Autonomous Database on Shared Infrastructure?

A. ACLs can only be used with private endpoints
B. An ACL can be set up for an IP Address or a virtual cloud network but not both at the same time
C. An ACL can only be set during the creation of an Autonomous Database on Shared Infrastructure
D. When you restore a database, the existing ACLs are not overwritten by the restore.

Answer: D

Explanation:
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.

NEW QUESTION # 109
Which two statements are true regarding active transactions when scaling OCPUs in an Autonomous Database? (Choose two.)

A. Active transactions continue running unaffected
B. Active transactions are paused
C. Scaling can happen while there are active transactions in the database
D. Active transactions are terminated and rolled back

Answer: A,C

Explanation:
Scaling OCPUs in Autonomous Database is designed to be seamless. The two true statements are:
Scaling can happen while there are active transactions in the database (B): ADB supports online scaling, meaning you can increase or decrease OCPUs (e.g., from 2 to 4) via the OCI console or CLI (e.g., oci db autonomous-database update --cpu-core-count 4) without stopping the database. Active transactions (e.g., INSERT INTO orders VALUES (...)) continue running during this process. Oracle's architecture ensures the database remains available, adjusting resources in the background. For example, a web app processing orders won't notice the scaling operation starting at 10:00 AM.
Active transactions continue running unaffected (C): During scaling, existing transactions are not interrupted, terminated, or paused. They complete normally, with Oracle managing resource allocation transparently (e.g., shifting CPU usage without killing sessions). For instance, a long-running UPDATE statement started before scaling finishes successfully, leveraging the database's high-availability design. The status shows "SCALING IN PROGRESS," but users experience no downtime.
The incorrect options are:
Active transactions are terminated and rolled back (A): False. Scaling is non-disruptive; transactions aren't killed or rolled back, preserving data integrity and user experience. Termination only occurs during explicit stops or failures, not scaling.
Active transactions are paused (D): False. There's no pausing mechanism during scaling; transactions run continuously, as pausing would disrupt OLTP or analytical workloads, countering ADB's autonomous promise.
This online scaling capability is a key benefit, ensuring uninterrupted service.

NEW QUESTION # 110
......

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Oracle 1Z0-931-25 Free Vce Dumps Exam Pass For Sure | 1Z0-931-25 Valid Exam Practice

1Z0-931-25 Valid Exam Practice, 1Z0-931-25 Exam Format

Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q105-Q110):

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