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1Z0-931-25 Exam Format, 1Z0-931-25 Latest Exam Labs

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

Answer: B,C,E,F

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 statement is false about Autonomous Database Oracle Client Credentials (Wallets)?

  • A. The Oracle Client Credential file is downloaded as a ZIP file
  • B. In addition to the Oracle Client Credential Wallet, a user must have a username and password in order to connect to the Autonomous Database
  • C. You must have an Oracle Client Credential wallet in order to connect to the Autonomous Database
  • D. The Wallet for the Autonomous Database is the same as the TDE wallet

Answer: D

Explanation:
Oracle Client Credentials (wallets) are essential for secure connections to the Autonomous Database. The false statement is:
The Wallet for the Autonomous Database is the same as the TDE wallet (A): This is incorrect. The Oracle Client Credential wallet (used for client authentication and connection security) is distinct from the Transparent Data Encryption (TDE) wallet (used to encrypt data at rest within the database). The client wallet contains certificates and keys for mutual TLS (mTLS) authentication, while the TDE wallet manages encryption keys for data security. They serve different purposes and are not the same.
The correct statements are:
You must have an Oracle Client Credential wallet in order to connect to the Autonomous Database (B): True. The wallet is required for mTLS, which is the default authentication method for Autonomous Databases, ensuring secure connections.
In addition to the Oracle Client Credential Wallet, a user must have a username and password in order to connect to the Autonomous Database (C): True. Alongside the wallet, a database username and password are needed for full authentication (mTLS + user credentials).
The Oracle Client Credential file is downloaded as a ZIP file (D): True. When downloaded from the Oracle Cloud Infrastructure (OCI) console, the wallet is provided as a ZIP file containing configuration files like tnsnames.ora and certificates.
This distinction is critical for understanding security mechanisms in Autonomous Database.


NEW QUESTION # 107
Which two cloud services allow you to import Data Pump files to an Autonomous Database on Dedicated Infrastructure? (Choose two.)

  • A. Amazon S3
  • B. Google Cloud Storage
  • C. Oracle Cloud Infrastructure Object Storage Classic
  • D. Azure Blob Storage
  • E. Oracle Cloud Infrastructure Object Storage

Answer: C,E

Explanation:
Importing Data Pump files into an Autonomous Database on Dedicated Infrastructure requires compatibility with Oracle-managed cloud storage services:
Correct Answer (C): Oracle Cloud Infrastructure Object Storage Classic is an older OCI storage service that supports Data Pump imports. Users can upload dump files to a Classic bucket and use the DBMS_CLOUD package to import them into the database.
Correct Answer (E): Oracle Cloud Infrastructure Object Storage (the modern OCI Object Storage) is fully supported for Data Pump imports, offering scalability and integration with Autonomous Database via DBMS_CLOUD.
Incorrect Options:
A: Amazon S3 is not natively supported for direct Data Pump imports into Autonomous Database on Dedicated Infrastructure without additional integration steps.
B: Azure Blob Storage is similarly unsupported natively; Autonomous Database prioritizes OCI storage.
D: Google Cloud Storage is not integrated for this purpose.
These OCI services ensure seamless and secure data migration.


NEW QUESTION # 108
Which statement is true when you provision an Autonomous Database using the cloning method?

  • A. A clone database source can be from a point-in-time backup that is less than 2 hours old.
  • B. You can clone a database in a security zone to create a database that isn't in a security zone.
  • C. A clone database source can be a running database instance.
  • D. There is only one type of cloning option available in Autonomous Database.

Answer: C

Explanation:
Cloning in Autonomous Database creates a new instance from an existing source:
Correct Answer (A): "A clone database source can be a running database instance" is true. You can clone from a live, running Autonomous Database instance (full clone), capturing its current state, including data and configuration, without needing to stop it.
Incorrect Options:
B: There are multiple cloning types: full clone (from a running instance) and refreshable clone (a read-only copy that syncs with the source), plus cloning from backups.
C: Cloning from a backup requires the backup to be at least 2 hours old for consistency, not less, making this false.
D: Security zone rules prevent cloning a database from a security zone to a non-security zone due to compliance restrictions.
This flexibility supports rapid provisioning from active databases.


NEW QUESTION # 109
Which index type is designed to index catalog information?

  • A. CONTEXT
  • B. CTXRULE
  • C. CTXCAT
  • D. CONSTRAINS

Answer: C

Explanation:
Oracle provides specialized index types for different data indexing needs. The correct answer is:
CTXCAT (B): The CTXCAT index type is specifically designed for indexing catalog information, such as product catalogs or structured data with short text fields. It supports fast queries on structured data combined with text search, making it ideal for applications like e-commerce catalogs.
The incorrect options are:
CONTEXT (A): The CONTEXT index is used for full-text search on large unstructured text data (e.g., documents), not specifically for catalog information.
CTXRULE (C): The CTXRULE index is designed for rule-based classification of text, not for catalog indexing.
CONSTRAINS (D): This appears to be a typo (likely meant "CONSTRAINTS"), but constraints are not index types; they enforce data integrity rules, not indexing.
CTXCAT enhances performance for catalog-style queries, distinguishing it from other text index types.


NEW QUESTION # 110
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